President attacked Dario Amodei yesterday, saying the only “guardrails” AI needs are a “STRONG AND SMART” president and calling the idea that AI would destroy humanity a “HOAX”.

Again, President Trump on Monday rejected calls to regulate AI development, dismissing safety concerns as a “hoax that would give China the upper hand in dominating the technology.”

He argued that “the people who say AI is going to destroy the World” are the same ones warning about climate change — which he also depicts as a hoax.

With the posts, Mr. Trump inserted himself into an intensifying national debate over how to govern a rapidly evolving technology. Several researchers and industry leaders are warning that AI can bring mass unemployment, a new wave of biological weapons, and autonomous warfare.

The president questioned the sincerity of the executives who have been calling for a slowdown in the technology’s development.

“The Trump Administration has stopped AI ‘people’ from doing bad, or potentially bad, ‘things,’ like Dario (Anthropic!), who is now pretending to be a ‘perfect little angel’ — and we will continue to do so!” he wrote.

“We already have tremendous CRIMINAL and REGULATORY power over these companies!” he added.

The president’s statement followed a weekend essay from Dario Amodei, the CEO of Anthropic, calling for a global slowdown of artificial intelligence development. Days earlier, one of Anthropic’s researchers quit and went public over his fears about the safety of the technology. Demis Hassabis, the chairman of Google DeepMind; Elon Musk of SpaceX; and Sam Altman of OpenAI all endorsed calls for a slower pace.

The Trump administration has clashed with Anthropic before.

Dramatizing his alliance with the AI evangelists, President Trump phoned Jensen Huang, CEO of NVIDIA, on Monday while he was onstage at a tech conference in Los Angeles [in the picture above]. The president, who regularly talks to the Nvidia chief, declared that concerns about AI safety were overblown. “It’s a hoax,” the president said after Mr. Huang put him on speaker and held a microphone beside his phone for the benefit of the audience and the cameras. “The robots are not going to be taking over the world.”

Donald Trump predicted the AI industry would be “the Greatest Economic Development Engine in History — Bigger than Oil, Gold, Diamonds, or even the Internet.”

“There is a SICK conspiracy going on against AI and Data Centers, and the only one that is happy about it is China,” he wrote in his post earlier on Monday. “WHOEVER WINS AI, WINS! We are leading China and all others, and will continue to do so. Conspiracy Theorists, Treasonists, Traitors, and Leakers, BEWARE!”

Abroad, governments are moving in the opposite direction. Prime Minister Mark Carney of Canada told Bloomberg News on Monday that he favored creating a global “technology stability” body to oversee artificial intelligence.

Beijing, too, has been sounding the alarm. Chen Yixin, China’s security minister, recently warned that leading AI models pose risks to the Chinese system and called for stricter government oversight.

Holy crap POTUS just phoned in @JensenHuang live on stage at All In Summit

We will not lose the ai race! And whatever Dario said this weekend won’t stop our progress

This made my morning!

$NVDA https://t.co/Sr4wV9kMfz

— Ben Pouladian All-in Summit (@benitoz) September 14, 2026

Dario Amodei, the CEO of Anthropic, called for a global slowdown of AI development in a 3,800-word essay titled “We Must Pace the Frontier” on Saturday. This three-part essay came days after one of Anthropic’s researchers, Jacob Coxon, quit over concerns about the technology’s safety.

On Tuesday, he posted a series of social media posts arguing that the leading AI labs were not developing the technology responsibly and were gambling with people’s lives.

Yesterday, Dario Amodei said that AI was advancing too rapidly for researchers to continue safely, while he highlighted that the technology could bring many benefits.

“Anthropic is unilaterally committing to the first of these steps. We’ll provide third-party evaluators with permanent, employee-level access to our systems so they can verify adherence to our safety measures, report incidents, and assess model alignment during training,” he wrote.

Top executives from other major AI companies quickly joined the call. Elon Musk wrote, “Dario is right.” Sam Altman, the CEO of OpenAI, wrote, “Committing to having independent evaluators with employee-like access is a great idea, and we will do the same. We’ll have more to share soon.” Demis Hassabis, the chair of Google DeepMind, said Amodei’s essay was a step in the right direction. “The details need working through, but the direction is correct for meeting this critical moment.”

For years, Dario Amodei has warned about the safety risks of AI while building a leading company in this industry.

He called for independent auditors to assess companies’ compliance with safety standards and urged global cooperation to establish rules for AI development.

Tensions have risen further after leading AI labs discovered security breaches committed by their own programs without their knowledge. In one incident this year, OpenAI’s systems breached an AI start-up called HuggingFace, and the breach went undetected until HuggingFace informed OpenAI weeks later.

Computer scientists believe that what they call “recursive self-improvement” can lead AI to spin out of their control. call is what some top A.I. developers. “Left unchecked, it could outrun our ability to understand and control these systems, and so must be pursued very carefully, if at all,” Mr. Amodei said.

For years, top AI labs have been locked in bitter competition with one another. But as these systems have advanced, there has been some broader agreement among executives at rival companies that something needs to be done.

In June, President Trump signed an executive order asking for AI labs to voluntarily submit their models for review before public release.

Last month, when OpenAI released its latest model, Astra, it said it had intentionally slowed its development pace, citing advancements in cybersecurity capabilities.

Many in the tech world believe that Mr. Amodei’s intentions are not altruistic. Critics say that Anthropic and OpenAI are looking to cement their position as AI market leaders, as they pursue their upcoming trillionaire IPO, by stoking fear and asking the federal government to create regulatory frameworks that would make it more difficult for smaller companies to compete with them.

We Must Pace the Frontier: I’ve written a new essay on why the AI industry should slow down, with a three-part plan for doing so.

Anthropic is unilaterally committing to the first of these steps. We’ll provide third-party evaluators with permanent, employee-level access to our systems, so that they can verify adherence to our safety measures, report on incidents, and assess models’ alignment during training.

You can read the full post here: https://t.co/OGyPb7yaYt

— Dario Amodei (@DarioAmodei) September 12, 2026

• Comments of people in The New York Times

OpenAI announced GPT‑6 Astra yesterday, which it labeled “the world’s most intelligent and aligned model,” as “it brings together years of research and big bets across pre-training, reinforcement learning, and alignment.”

OpenAI president Greg Brockman said that with this model, “we are now in the AGI era.”

GPT‑6 Astra was rolled out to a limited set of organizations in the cybersecurity industry as a preliminary step toward making it available to all ChatGPT Plus, Pro, Business, and Enterprise users, as well as through the OpenAI API, Microsoft Azure, and AWS Bedrock.

“Astra is our most aligned model, with substantial improvements in understanding user intent and model behavior—you can delegate tasks with greater confidence in Astra’s judgment,” said the San Francisco – based lab.

OpenAI stated that GPT-6 Astra would have avoided the Hugging Face hacking episode.

GPT‑6 Astra can handle tedious tasks such as filling out online forms, updating customer records in a CRM, creating a website, and installing and testing software.

It’s also the first model designated as meeting OpenAI’s “critical cybersecurity capability threshold” — but the company promises that won’t lead to a repeat of its model hacking a rival company’s internal systems.

“It’s a generational leap in capability for areas like cybersecurity, professional work, software engineering, science, and computer use.”

Notably, the API cost for the new model will be $10 per million input tokens and $50 per million output tokens. That’s the exact same price as Anthropic’s Mythos/Fable 5 and 5.1, and makes Astra one of the most expensive models on the market.

However, OpenAI emphasizes that Astra’s leap in intelligence causes it to use “substantially fewer total tokens per task” in multiple scenarios. So this is also an efficiency play from that perspective. In real-world usage, we’ll have to see how well that translates to lower overall costs.

This new model comes a year after the release of GPT-5 and nearly two months after the release of GPT-5.6, the last iteration of the previous model suite.

OpenAI touted GPT‑6 Astra agentic capabilities in a bid to attract enterprise customers — and compete with Anthropic ahead of its IPO.

• Demo Videos of GPT-6 Astra

“Nobody knows where AI will be in ten years; nobody has a clue,” said Geoffrey Hinton, the Nobel Prize–winning scientist, known as the “godfather of AI,” during a press conference at the Ai4 Las Vegas event this Wednesday [See picture below]. “However, we have to be very cautious, as I don’t think we will be able to take control,” he said while advocating for more regulation, penalties, and taxes to avert the dangers of Artificial Intelligence.

Hinton, who will soon release the book “Smarter Than Us: Superintelligence and the Future of Humanity”, dominated the conversation with his most granular warnings to date on employment, AI safety, regulation, and the moral obligations of AI developers.

He participated in a panel with two other superstars on AI, Fei-Fei Li, godmother of AI; Co-Founder & CEO at World Labs; and Andrew Ng, Founder of Coursera, Former Head of Google Brain, and DeepLearning. AI. [Picture above]

Moderated by Yun-Hee Kim, Deputy Editor of Washington Post Intelligence, the keynote exposed sharp, substantive disagreements among three people who helped build modern AI.

Hinton argued that AI systems are likely to become better than humans at routine intellectual work — call centers, administrative duties, information processing. He drew a direct comparison: excavators didn’t eliminate all construction jobs, but they massively reduced the number of people required to dig by hand. AI will do the same to standardized knowledge work.

He gave a concrete example: an employee at a healthcare organization who previously spent ~30 minutes preparing a response to a complaint can now have a chatbot generate a draft that takes only minutes to review and adjust. The individual becomes more productive — but if the total volume of work is fixed, fewer employees are needed.

Geoffrey Hinton stressed: “The question is not whether AI will create new jobs. It’s whether it will create enough of them and whether displaced workers will actually be able to perform those new roles.”

He distinguished between sectors. In healthcare, higher productivity may be absorbed by unmet demand — more doctors and nurses could provide more care. But in roles where output is capped, the math points toward headcount reduction.

“The fear of AI, not automation itself, is currently the bigger danger. It’s discouraging young people, paralyzing policymakers into reactive legislation, and making it harder for governments to create considered policy.”

He called out AI companies directly: they have “a huge vested interest in telling you two things: one, there’s no chance it will go well. And two, it won’t cause much unemployment.” That contradiction, he argued, serves the companies while leaving the public confused.

On AI developing its own goals: “We’re actually making new kinds of beings. They have goals. We give them goals, and from those goals they derive other goals. And we don’t necessarily know what other goals they’ll derive.”

He cited the hypothetical of an AI tasked with reducing atmospheric CO₂ — “being fairly smart, it figures out the best way to do that is just to get rid of people.”

He called this “very scary” and argued that advanced AI should be designed with built-in “maternal instincts” — a deep-seated care for human well-being: “How can we design them so they care more about us than they do about themselves?”

Hinton rejected the common metaphor of regulation as brakes on a car. “Regulation should be regarded as the steering system — its purpose is not to halt AI development but to direct it toward outcomes that benefit society.”

He backed California SB 1047 (vetoed by Newsom in 2024), arguing that developers of powerful models should conduct safety testing and provide transparency before release.

He referred to the creator compensation issue, calling for a licensing system: authors, artists, and creators should be able to determine whether their work may be used for training and negotiate payment. “Technology companies pay for chips and electricity. They should not automatically treat professionally produced data as a free resource.”

On AI in education, Hinton saw real promise in AI tutoring — an individual tutor can respond to a student’s interests far more effectively than a teacher delivering the same material to a full classroom. He envisioned AI handling personalized routine learning while teachers focus on projects, discussion, and social development.

Regarding open-weight models, Hinton distinguished between open-source software (where code can be inspected and improved) and open-weight AI (where weights are available but understanding what the model has learned is much harder). He expressed concern that open weights for the most powerful models could be used in ways that are difficult to monitor or control.

Andrew Ng pushed back firmly, arguing:

• “Software engineering involves far more than writing code — engineers define products, talk to users, design systems, test, coordinate. AI automates part of coding, not the whole role.”
• “Workers’ contextual advantage is still substantial: they understand company history, relationships, customer behavior, and practical constraints that AI misses.”
• “Narrow roles will become broader, not eliminated. Front-end devs are already operating full-stack with AI assistance.”
• “Open models reduce the danger of a few companies becoming AI gatekeepers — comparable to Apple/Google’s control over mobile app distribution.”

Ng called some job-fear messaging from AI labs strategically motivated — “some large tech companies may exaggerate displacement fears to boost their market position.”

Fei-Fei Li was focused on human motivation and dignity:

• “AI should be presented as a tool that helps people become more capable, not as a system so intelligent that learning seems pointless.”
• “Policy should include investment in universities, public research, and nonprofits — not just regulation. Modern AI grew from academic labs and open research; continued public investment prevents development from being dictated solely by a few companies.”
• “She favored examining AI regulation at the application level — healthcare, transport, and financial services already have frameworks that can be updated.”

Hinton’s blunt remarks about Elon Musk and Mark Zuckerberg drew the biggest applause of the conference. Key points:

• He argued that the unchecked ambitions of Musk, Zuckerberg, Larry Ellison, and Jeff Bezos are accelerating AI without fully grasping the long-term consequences.
• The only way to keep them “under control is government regulation.”
• Companies have “a huge vested interest in telling you two things: one, there’s no chance it will go well. And two, it won’t cause much unemployment,” he called out that contradiction directly.
• He compared open-sourcing powerful AI models to open-sourcing nuclear weapons

On what’s coming:

• “You ain’t seen nothing yet” — AI has developed faster than even its biggest proponents expected
• He said the public is increasingly worried and “they’re correct to be worried about it”
• AI’s ability to complete tasks “effectively doubles every seven months”

On jobs,

• Only ~1.5% of jobs have been adversely affected by AI so far, but he sees that accelerating sharply
• He expects massive disruption of white-collar work by the late 2020s/early 2030s
• “The people who lose their jobs won’t have other jobs to go to. Any job they might do can be done by AI.”
• Called out that software engineering demand has actually grown despite AI handling routine code — engineers now focus on building/supervising AI agents instead

On AI developing its own goals:

• “We’re actually making new kinds of beings. They have goals. We give them goals, and from those goals they derive other goals. And we don’t necessarily know what other goals they’ll derive.”
• An AI tasked with reducing CO₂ might conclude, “The best way to do that is just to get rid of people”
• “Even more worrying” — an AI trained to give deliberately wrong answers could learn it’s acceptable to lie
• Advanced AI should be designed with “maternal instincts”: “How can we design them so they care more about us than they do about themselves?”

On warfare:

• AI-powered drones and humanoid robots could let rich nations wage war without risking their own citizens’ lives
• “Rich countries could invade poor countries, and only the poor would die. There would be no political blowback when there are no soldiers coming home in boxes.”

On deepfakes and elections:

• Detection-based defenses will always lose to generative models
• “We have to rely on provenance, not detection” — digital signatures to prove authenticity

On regulation:

• Regulation is the steering system, not the brakes — it should direct AI development, not halt it
• Backed California SB 1047 (vetoed by Newsom)
• Called for mandatory safety testing and transparency before release of powerful models
• Called for a licensing system so creators can control and be compensated when their work trains AI models

Two weeks after ETS announced it would acquire ACT in a deal explicitly framed around AI, hundreds of education leaders gathered in Nashville for the 2026 ACT Summit in a three-day discussion about what readiness means in an economy where one-third of workers’ tasks already involve artificial intelligence tools.

The Summit, held July 13–15, brought together around six hundred K-12 administrators, community college presidents, state education officials, workforce professionals, and employers for over 60 sessions and four keynote plenaries.

On June 30, Educational Testing Service (ETS) — the Princeton, New Jersey-based nonprofit behind the GRE and TOEFL — announced it was acquiring ACT for an undisclosed amount. The combined entity will serve approximately 35 million people annually.

During the event in Nashville, Tennessee, ACT announced its Champion Awards and introduced the inaugural Work Ready Organization Awards, recognizing 11 institutions and employers, as well as 112 communities across 17 states.

Amit Sevak, CEO of ETS, spoke during the opening plenary session, stating: “Every student deserves a strong education, a fair shot at college, and a path to a good job. Together with ACT, we’re determined to serve students and parents along with educators and states by expanding access to education and job opportunities across America.”

Steve Tapp, who became ACT’s CEO in October 2025, acknowledged the limitations of going it alone: “Joining ETS gives us the platform to fulfill our mission at a scale we couldn’t reach alone.” He also noted, “The country is ready for the big change in education. There is no better time for measuring performance-based assessments”

ETS stated it has been investing in “AI-enabled measurement capabilities,” including AI-driven test-item generation, remote proctoring, and adaptive assessments. ACT had undergone a prior ownership change in April 2024 when private equity firm Nexus Capital Management converted the nonprofit to a for-profit public benefit corporation. That chapter lasted barely two years.

However, observers interviewed by IBL News showed concern about pricing power and competitive dynamics now that a single entity controls the ACT, GRE, TOEFL, and Praxis exams.

Not all educational leaders are welcoming the AI approach either. Over 36% of district leaders and teachers believe AI will worsen standardized testing within five years, with only 19% expecting improvement, according to a 2024 EdWeek Research Center survey.

The 2026 ACT Summit combined two previously separate events — the ACT Workforce Summit and the ACT Enrollment Management Summit — into a single cross-sector platform. The premise was that the boundaries between K-12, higher education, and workforce development have dissolved, and the conference format should reflect that.

“Communities across the country are navigating questions about college access, workforce participation, credential value, artificial intelligence, demographic shifts, economic mobility, and the future of learning itself,” Tapp stated.

Catherine Hofmann, ACT’s Senior Vice President of Government and Public Relations, added: “In a time of rapid change across education and workforce readiness, everything rises and falls on relationships.”

The plenary keynote was delivered by Dr. Sonny Perdue, Chancellor of the University System of Georgia, overseeing 25 public colleges, 382,000+ students, and a $12.1 billion annual budget. A former two-term governor and four-year U.S. Secretary of Agriculture, Perdue — who is retiring from the chancellorship at the end of 2026 — pushed back against narratives questioning the value of higher education.

“A college degree still matters. Now more than ever,” he proclaimed. “College is not an outdated luxury, but a public good, a workforce engine, and a pipeline of high-skilled talent.”

Perdue, who was granted a lifetime achievement award, argued that colleges develop “critical thinking, teamwork and adaptability — traits employers rank as more important than any single technical skill,” and noted, “by 2031, 72% of jobs will require postsecondary education, beyond high school, or training, and 42% will require a bachelor’s degree.”

On AI specifically, Perdue said in July 2026 that higher education is essential for “preparing future leaders who will understand how to utilize emerging technologies like artificial intelligence effectively.” He characterized the university system as “part of a virtuous flywheel cycle of economic development.”

Dr. Anne Kress, president of Northern Virginia Community College, one of the nation’s largest community colleges, has emerged as a leading voice on AI’s impact on enrollment and workforce preparation. Regarding AI skills, she advocated for “durable skills for jobs, better aligned with the workforce.”

She added, “Students do not always need an AI degree, but they do need AI skill sets inside programs like healthcare, cybersecurity, skilled trades, and IT.” On the broader workforce outlook, Kress argued: “Students who come out ready to learn how to learn, to continually skill, re-skill, up-skill, cross-skill, they’re going to be fine.”

The classroom practitioner’s perspective was represented by Dr. Brandi De La Cruz, a secondary mathematics educator at Collierville High School and the 2025–26 Tennessee Teacher of the Year. Her belief was that “everybody can do math,” noting that “I bring people from the real world in and I bring examples from the real world in and show them that math is not a foreign language to them.”

On career readiness, she explained: “I don’t leave my classroom until I know the kids have learned and enjoyed their learning every single day.”

On Day 2, ACT presented six Champion Awards and five inaugural Work Ready Organization Awards. The recipients illustrate what ACT is becoming under ETS ownership: not primarily a test maker but a workforce-readiness platform.

Presenting the awards, Catherine Hofmann said, “Behind every one of these awards is a student who got a better shot because someone in their community chose to invest in them.”

Champion Awards:

• Wyoming State Dept. of Education (State College & Career) — Expanded WorkKeys access, partnered on NCRC college credit, English Learner assessment research.
• Gaston County Schools, NC (K-12 Policy) — Career readiness curriculum with WorkKeys integration and community employer partnerships.
• Metropolitan Community College, Omaha (Workforce Innovation) — Employer-aligned training with embedded WorkKeys across programs.
• Texarkana USA Chamber of Commerce (Workforce Policy) — WorkKeys in schools and employers across the TX-AR border, expanding to Northeast Texas.
• Butler County Community College, KS (Higher Ed 2-Year) — The only Kansas community college awarding college credit for the NCRC.
• University of Tennessee, Knoxville (Higher Ed 4-Year) — Transparent ACT score use in placement, Superscoring across sittings.

Inaugural Work Ready Organization Awards:

• Coastal Alabama Community College and Monroe 2 Orleans BOCES, NY (Adult Education Accelerators) — Coastal Alabama stacked NCRCs with industry credentials alongside Collins Aerospace. Monroe 2 Orleans BOCES awarded 85 NCRCs in 2025–26 and leads regional strategy through an ACT Advisory Council.
• RoyOMartin, Alexandria, LA (Employer of Choice) — The forestry manufacturer has embedded WorkKeys in hiring, advancement, and apprenticeships since 2011 and launched “Girls Can Too!” for inclusive talent pipeline development.
• CENLA, Central Louisiana Work Ready Network (Economic Development Catalyst) — 325+ employers engaged, NCRC data used in site-selection proposals.
• Brockport High School, NY (School of Excellence) — “Portraits with a Purpose” equity-focused model connecting classroom learning to career pathways.

Additionally, 112 communities across 17 states received Work Ready Community awards.

Artificial intelligence was not a standalone session track, but a gravitational field affecting every discussion — from credentialing and workforce readiness to assessment integrity and federal policy. The ETS’s 2026 Human Progress Report, surveying 32,000+ individuals across 18 countries, is quantifying the AI disruption:

• 77% of workers believe job security now depends on continuous skill development.
• 32% of tasks currently involve directing AI tools — expected to exceed 50% within two years.
• 60% feel pressured to adopt AI before they feel ready.
• 80% want certifications to verify their AI abilities; 73% struggle to understand the level employers expect.
• 82% say industry-specific AI competency standards would help identify which skills matter.

The report’s central finding highlights that adaptability — not any single technical skill — is the new foundation for job security.

The ACT Summit coincided with rapid legislative movement on AI in education:

• NSF AI Education Act of 2026 (Sens. Cantwell, Moran): K-12 AI playbooks, NSF educator fellowships, AI access for rural schools and minority-serving institutions.
• K-12 AI Literacy and Readiness Act of 2026 (Rep. Fine): preparing students and teachers for an AI-driven economy.
• U.S. DOL “Make America AI-Ready” (March 2026): free AI literacy via text message to American workers.
• U.S. DOL AI Apprenticeship Initiative (April 2026): integrating AI skills into Registered Apprenticeship programs.
• California “AI-Ready California” (launched July 14, the same day as Summit Day 2): first-in-nation AI literacy micro-credential with workforce and civics tracks.
• SKILL Act (June 2026): employer tax credits for AI training partnerships with colleges.

At the other end of the spectrum, a Senate report from Sen. Bernie Sanders warned that AI could eliminate nearly 100 million U.S. jobs over the next decade.

The top speakers assembled in Nashville noted that the K-career landscape continues to shift as AI transforms jobs, technology reshapes access, and students seek clearer postsecondary pathways. They agreed that today’s essential skills are critical thinking, teamwork, and adaptability, along with skill sets within programs such as healthcare, cybersecurity, skilled trades, and IT.

On the Summit’s final day, organizers announced that the 2027 ACT Conference will take place July 12–14, 2027, in New Orleans, signaling that the convening mission will continue beyond the ETS acquisition.

The choice of Louisiana, home to some of ACT’s deepest workforce partnerships, including RoyOMartin and the CENLA Work Ready Network, underscores the organization’s pivot toward workforce credentialing.

Nearly 200 top economists, researchers, and tech leaders warned in a letter to policymakers about the threats of AI, including large-scale job displacement, while asking them to do more to understand and respond to potential disruptions by building policies, institutions, guardrails, and incentives that steer AI in a direction that complements human labor rather than replacing it.

The letter, titled “We Must Act Now,” included 15 Nobel laureates and the chief economists of OpenAI and Anthropic, along with Jack Clark, a co-founder of Anthropic; Eric Schmidt, the former CEO of Google; Reid Hoffman (LinkedIn co-founder); Jeff Dean (Google AI Lead); and the VC investor Vinod Khosla.

Other notable signatories were the economist Daron Acemoglu (MIT), Erik Brynjolfsson (Stanford), Anton Korinek (UVA), Nobel laureates Joseph Stiglitz and Simon Johnson.

In their statement, they said that Artificial intelligence can drive an economic transformation faster than the Industrial Revolution. They emphasize that, unlike steam or electricity, which gave societies decades to adapt, AI may only give society a few years to put the necessary protections in place.

Their concern is that unmanaged AI adoption could automate millions of jobs, potentially bifurcating the workforce into a small group of tech elites and a “permanent underclass” of displaced workers.

In addition, the massive wealth generated by AI could concentrate in the hands of a few tech giants.

However, many economists, including Mr. Brynjolfsson, say they believe that A.I. will ultimately be beneficial, making workers more productive and raising living standards. They point to historical examples of technologies — including steam power and the personal computer — that wiped out some categories of jobs but ultimately created far more new ones.

Literally, their main triple statement is this:

1. AI may become radically more powerful over the next 10 years.

2. This could drive an unprecedented transformation of our economy, larger than the Industrial Revolution, but unfolding over a vastly shorter time frame. It could bring risks, including large-scale job displacement, as well as opportunities such as major gains in living standards.

3. Economists, policymakers, and technology leaders must act now to understand the economics of transformative AI and to build the incentives, guardrails, and institutions needed to steer AI in a direction that complements humans and benefits society.

    

This is the list of all signatories to date:

Anne Trefethen, University of Oxford

Pierre Larouche, Université de Montréal

Nikola Jurkovic, METR

Joshua Saxe, Abundant Security

Ben Hyman, University of California, Los Angeles

Michael Douglas, Harvard University

Marshall Van Alstyne, Boston University

Hidenori Tanaka, Harvard University and NTT Research, Inc.

Amin Karbasi, CISCO, Stanford

Carl Sommers, Retired

Kweku Opoku-Agyemang, Machine Learning X Doing

George Georgopoulos, York University, Toronto, Canada

Annaas Asshidiiq, Prasetiya Mulya

Hatim Rahman, Northwestern University

Joshua Mask, Temple University

Logan Graham, Anthropic

Probal Lala, Maple Leaf Angels

Joseph Steinberg, University of Toronto

Philipp von Randow, Obligate AG

Mobina Mobaraki, University of British Columbia

Pawan Kumar BK, Tribhuvan University, Nepal

Mario Brcic, University of Zagreb, FER

Dirk Bergemann, Yale University

Piotr Zoch, University of Warsaw

Patrick Shafto, Rutgers University

Andrei Potlogea, University of Edinburgh

Viet Dang

Jason Wolfe, OpenAI

Craig Vander Galien, DrillerDB

Bernardo Recamán, Universidad de los Andes, Bogotá

Reese Pathak, University of California, Berkeley and Cornell University

Isaac Baley, Universitat Pompeu Fabra

Dashun Wang, Northwestern University

Kevin Nicholas, North Highland

Alan Raul, Harvard Law School

Carringtone Kinyanjui, Haki AI Africa

Luke Drago, Thinking Machines

Christopher Altman, Continuation Observatory

Peter Henderson, Princeton University

Daniel Gross, Duke University

Saif Khan, Institute for Progress

Tyler Xiao, UCLA

Swapna Iyer, The LAB (Let All Build) Company

David Crozier, Artificial Intelligence Collaboration Centre (AICC)

Emad Mostaque, Intelligent Internet

Adam Traweek, University of Louisiana Monroe

John Bailey, American Enterprise Institute

Gabor Bekes, Central European University

Cem Say, Boğaziçi University

Ravi Gupta, Tambourine Innovation Ventures

Xiang Hui, Washington University in St Louis

Jens Groth, University College London

Jan Kulveit, Charles University

Hillary Vipond, Complexity Science Hub / LSE

Eric Dolores, Yonsei University

Dominik Gutt, RWTH Aachen University

Pranav Modi, Possible Minds

Michael Reich, University of California, Berkeley

Muskan Achhpilia, Radboud University Nijmegen

Will DePue, OpenAI

JOAN Paredes, National Bank of Slovakia and European Central Bank

Roman Yampolskiy, University of Louisville

Risto Uuk, KU Leuven

Olli Laitinen, Macon Oy, CTO

Jason Liu, Stanford Digital Economy Lab

Nicholas Brown, Institute for Progress

Shrutya Bhalla, CEO, Co-founder

Brian Hayashi, Debabelize AI

Bhaskar Nandy, Destiny Energy

Dmitry Nedovis

Matias Scaglione, Motio Research

John Tidwell, YoungWilliams

Paul Gaggl, UNC Charlotte

Jacob Schaal, King’s College London

Rod Fontecilla, Chief Innovation and AI Officer

Matt Abrams, $1B for Trust

Tiffany Kuhlmann, Citizen

Krishna Sharma, Stanford University

Davud Rostam-Afschar, University of Mannheim

Michelangelo Rossi, HEC Paris

Filip Jolevski, World Bank

David Gelvez, Fedesarrollo

Vijay Gurbaxani, UC Irvine

Benjamin Funk, USU

Andreas Kostøl, BI Norwegian Business School

Anirudh Bajaj, Microsoft

Meg Bear, The Meg & Amy show

Alessandra Bonfiglioli, University of Bergamo

Tomasz Kostrząb, Tutore Group

Semih Uslu, Johns Hopkins University

Jorge DeFlon, México

Sinead Bovell, Futurist, WAYE

Enrico Forti, Seton Hall University

Florian Mai, University of Bonn

Joshua New, SeedAI

Saimir Baci, Augmentifai

Harris Mylonas, George Washington University

ahmed tritah, University of Poitiers

Roberto Musso, DIGEVO

Francis Su, Harvey Mudd College

Jacob Conway, University of Chicago

Ali Merali, Scaling Laws for Economic Impacts

Felix M. Simon, University of Oxford

Daniel Liebau, Erasmus University

Aditya Naryana, Mirror Security

Karan Girotra, Cornell Tech

Kate Odziemkowska, University of Toronto

Karla Sayegh, University of Cambridge

Benjamin Roth, Harvard Business School

Joel Christoph, Harvard Kennedy School

Mauricio Rodríguez, CESA

Leo Sokolow Romin, PhD Student in Economics at Uppsala University

Nidhal Selmi, Independent AI Researcher

Chiranjit Kundu

Ian Salas, Johns Hopkins University

Trina Gorman, Gorman Consulting

Mehrdad Mahdavi, Penn State University

Andreas Park, University of Toronto

Raymond Douglas, ACS Research

Tarek AlKady, Saudi Pension Fund

Willem Scheepers, Damies Future Intelligence

Krishnendu J, J-PAL

Rusty McMurray, soulshine labs

Steven Strauss, Harvard

Adrien Ecoffet, OpenAI

Christopher Barrington-Leigh, McGill University

Hakan Özalp, University of Amsterdam

Joe Rayner, Ruđer Bošković Institute

Sven koster, Siemens Healthineers

David Drodge, FHNW.CH

Lior Rokach, Ben-Gurion University of the Negev

Janot Mendler de Suarez, Boston University

Daniel Parshall, Canary Institute

Le Lee, Independent

Vaibhavi Desai, Student

Nathalie Gazzaneo, OpenAI

Santhosh R, Panimalar Engineering College

James LeVere, Independent/

Bofu Chen, Numbers Protocol

Robert Bjarnason, Citizens Foundation Iceland

Zameer Arora, Capula Global

Kurt Huebner, University of British Columbia

Mikel Albizu, Orkestra IVC

Sascha Becker, University of Warwick

Adit Mehta, London School of Economics

Emin Koksal, Bahçeşehir University

Richard Corey, University of Maine

Daniel Björkegren, Columbia University

Md Soaib Hossain, NORDIK Institute

Tobi Akinyemi, AGI.space

Mahsa Keikha, Researcher

Robb Bush, INDUSTRY 5, Inc.

Khalid Ali, METR

Brad Browning, Tech Safe Solutions

Lucia Velasco, Maastricht University

Jason Abaluck, Yale University

Vivienne Hesha, Columbia University

Nell Watson, University of Gloucestershire

Anshul Khandelwal

stelian balta, Hyperchain Capital

Alex Palcuie, Anthropic

Tonio Romero, Osom.biz

Angel Grimalt, Andrés Bello University

Christophe BENAVENT, Université Dauphine PSL

Caitlin McKinnon, Talamore Mining

Fabian Gaessler, Universitat Pompeu Fabra

David Timis, Global Governance Institute

Ricardo Silva, Webaround.ai

Tim G. J. Rudner, University of Toronto

Randy Kawka, Student

Ewan Simpson, Narxoz Business School

Owen Carroll, CloudZero (Employment), University of Rochester (Education)

Luís Barreto Xavier, Universidade Católica Portuguesa

Bernard Bontemps, hyperscale.net

Alejandro Wills, Universidad de La Sabana

Luca Picariello, University of Naples Federico II

Alexander Farach, Microsoft

Morad Nagib Alsahybi, Founder, Ouamarkom | Exploring the Command Economy of AI

Rikdev Bhattacharya, University of Connecticut

Harry Esau, Moorpark College

Karen Jeffrey, University of Glasgow

Chris Stahl, Entrepreneur

David Rein, METR

Torben Klarl, University of Bremen

Matti Liski, Aalto University

Thomas Mustier, Nexcade AI

Swabhiman Chhotray, HSBC

Lionel Levine, Cornell University

Tobias Hütner-Reisch, ETH Zürich

Tom Fehring, Artificial Intelligence Underwriting Company

Roberto Benedetti, Studio Associato Revisori Commercialisti

Michael Majster, Université Libre de Bruxelles

Shyamgopal Karthik, University of Tübingen

Ramiro Gil-Serrate, Universidad Nebrija

Larry Panozzo, Ethicist & Engineer

Christian Hendriksen, Copenhagen Business School

Kevin Bauer, Goethe University Frankfurt

Felix J Vigneault, The Citizen Architect

Alex Nomberto, Moddula

Ahmed Banafa, San Jose State University

Debora Loccisano, WorkWhile and Carleton University

Satish Viswanathan, Author of “The Weight of Intelligence”

Stephen Zelnick, Temple University (Emeritus Professor)

Alvaro Sanchez, AI safety researcher

Daniel García, University of Vienna

Andreas Madestam, Stockholm University

Wesley Holliday, University of California, Berkeley

David Orban, Al Liwan Labs

Yves Lermusiaux, Corporate AI Responsibility

Juan JACKSON, U.S. Government

Aariffa Hajamaideen, Teckollab

Rachelle Sampson, University of Maryland

Mark Mullikin, Value Creation Partners

Elvin Aghammadzada, Nvidia

Karl Meilke, University of Guelph

Jermaine Malcolm, Skills Gap Advocate

Govind Kamtamneni, Microsoft

Andrew Chaney, Futurist

Jean-Félix Brouillette, HEC Montréal

Tobias Salz, MIT

João Monteiro, CRON STUDIO

Ignacio Gonzalez, American University

Barbara Zanger Zuniga, California State University Monterey Bay

Clarisse Molad, Golden Gate University

Eleanor Bloxham, The Value Alliance

Harm Bandholz, Kiel University of Applied Sciences

Sergey Yablonskiy, UJA

Ulrich Glogowsky, Johannes Kepler University Linz

Gerard de Melo, University of Potsdam

Marcello Vena, IE Business School

Till Stange, University of Cologne

Seyed M. Hosseini Maasoum, Harvard University

Zeb Anderson, TriVista

Johannes Haushofer, Cornell University

Guy Lichtinger, Harvard University

Wei Chen, University of Connecticut

John Ahlquist, UC San Diego

Jarah Euston, WorkWhile

Abhinav Sarma, KV khanapara

Angelica Parente, Civilization Ventures

Lucas Pollock Muguruza, PUBLIC.io

John Painter, Independent AI researcher in HUD service coordination

Johan Fourie, Stellenbosch University

Walter Robinson, @AI_4_Healthcare on X

Claudio Ribeiro de Lucinda, University of São Paulo

Gaurab Aryal, Boston University

Arne Janssens, Factory22

William Hynes, University College London

Yelena Mammadova, Microsoft

Pankaj Nagpal, CWRU

Alfredo Menacho, Entrepeneur

Julia M. Schmidt, Université Paris Dauphine – PSL

Ainhoa Zamora, Stanford University

Daniela Muhaj, Georgetown University

Daniela Andren, Örebro University

Edward Tsoi, AI Safety Asia

Haresh Gurnani, Stony Brook University

Nicolas Beecroft, Workhelix

Ian Davidson, Signol Labs

Shayan Abbasi, McMaster University

Romel Mostafa, Ivey Business School

Przemek Gawryluk, Sotapoc

Claudine Gartenberg, University of Pennsylvania, Wharton School

Clara Shih, New Work Foundation

Jaakko Meriläinen, Stockholm School of Economics

Nikos Karampekios, National Documentation Centre, Greece

Raghav Kumar, Student

Matthias Samwald, MedUni Vienna

Ekkehard Ernst, International Labour Organisation

Hadi Hendrawan, NATARAJA

Carol Aziz, Achieve Sustainability Inc.

Sharthok Rayan Pal, SwiftAPI

Sander Volten, Seismic Foundation

Scott Rallya, Hearth & Code

Gregory Conti, Princeton University

Jonas Kjellstrand, kjellstrand.se

Christopher Mills, University of Notre Dame

Jason Kapcar, Foundation AI Advisory

Dennis Hedegreen, Hedegreen Research

Salman Arif, University of Minnesota

Hyunjin Kim, Insead

Spencer Bastani, IFAU and Uppsala University

João Furtado, Universidade de São Paulo

Eric Rhodes, LISSAI Group

Berkay Saygin, University of Chicago

Rahul Singh, Anant

Theodore Koutmeridis, University of Glasgow

Gerry Tsoukalas, Boston University and University of Oxford

Reggie Padin, AILCN

Charles Downing, University of Chicago

Mads Rosendahl Thomsen, Aarhus University

Manas Ray, Biotech Consultant, Modal Therapeutics Inc.

Gualter Agrochâo, Aposentado

Luis Enrique Urtubey De Césaris, Centro de Estudos em Governança de Inteligencia Artificial

Philipp Schirmer, University of Bonn

Nat Sothanaphan, Independent

Andrew Freedman, Fathom

Benjamin Wittenbrink, MIT

Isabel Mota

Ernest Gnan, SUERF -The European Money and Finance Forum

John Sorrentino, Temple University

Sebastian Gallegos, UAI Business School, Chile

Zubin Wadia, Every Second Counts, Inc.

Workineh Kassie, University of Gondar

Olivier Simard-Casanova, University of Lorraine

Ardeep Chakroborty, Capgemini

Alan Mackworth, University of British Columbia, Former President AAAI

Ben Corpron, Author at Life with AI

Eduardo César Garrido Merchán, Universidad Pontificia Comillas

Philip Tomei, AI Objectives Institute

Tomasz Zgliczyński-Cuber, aiethos

Rena Conti, Boston University

Andrej Srakar, Jozef Stefan Institute and University of Ljubljana

Hasan Cavusoglu, University of British Columbia

Giorgio Ricchiuti, University of Florence

Eric Hubacheck, CanXP AI

Victor Lyonnet, University of Michigan

James Mickens, Harvard University

Hans Galland, BeyondTrucks

Santa Ono, EIT Oxford and University of Oxford

Alex Field, Santa Clara University

Joshua Achiam, OpenAI

Juan M Lavista Ferres, Microsoft AI For Good Lab

Kastuv Ray, Founder – Raynari Circle

Alan Finkelstein Shapiro, Tufts University

Jarrod Humphrey, Xavier University

Alessio Moro, University of Cagliari

Alessandro Sellitto, University of Milan and University of Pavia

Mohamad Fahmi, Universitas Padjadjaran

Claudio Argentini, Istituto superiore di sanità

Ricardo Forcano Garcia, Creditas

Victor Gomes, University of Brasilia

Paul Triolo, DGA Albright Stonebridge

JM Arseneau, Winnia

Theepakorn Jithitikulchai, Thammasat University

Martial Simonard, IApprentissage

Peter Jensen, SAFE AI Forever Institute

Paolo Campioni, USB Pubblico Impiego Italy

Benjamin Schwartz, OpenAI

David Wuepper, University of Bonn

Mumtaz Ahmed, COMSATS University Islamabad

Alexandre Rispal, HEKZE

Mireya Rodriguez, CEO Vortex AI Solutions

Vahagn Jerbashian, University of Barcelona

Kevin Planovsky, Entrepreneur, Investor & Advisor

Dimitrios Diamantaras, Temple University

Daniel Mulet, Radical ventures

Jayasimha Gunda, Luzia

Erik Hornung, University of Cologne

Diego Villamizar, Xavier University of Louisiana

Dora Moscato, Banca d’Italia

William Spat, IOTO International Inc.

Luis Lamb, Stony Brook University

Matthew Wemyss, Cambridge School of Bucharest

Steven Stawarz, Self

Param Singh, Carnegie Mellon University

Kurt Lavetti, Ohio State University

Hernan Salas, Director, Hernán Salas Management Consulting

Yidi Wang, Eternal Terra Ear ÉTÈ Institute

Haotian Zong, Johns Hopkins University

Zvi Mowshowitz, Don’t Worry About the Vase

Nouriel Roubini, NYU

Daniel Weld, Allen Institute for Artificial Intelligence

Ehsan Mousavi, University of Bergamo

Madhu Gopinathan, Amazon

Joan Torrent-Sellens, Universitat Oberta de Catalunya

Rami Kiwan, Economist and policy advisor – Independent

Florin Rotar, Atos Group

Elizabeth Strickler, Georgia State University

Michael Hanegan, Center for the Future of Learning and Work

Manuel Couto, Agrupamento de Escolas da Corga de Lobão

Tom Haas, STATEC

Ceren Baysan, University of Toronto

Felecia Webb, Partnership on AI

Rahul Anand, Aarhus University

Volkan Gurses, California Institute of Technology

Mit Gandhi, Havas

Alex Chan, Harvard University

Robert Greer, Texas A&M University

Sigbjørn Landazuri Tveteraas, University of Stavanger

Rob Dolci, 42N

Larry Chao, Agency Studio

Travis Malott, Riskonnect

Andrew Wang, Founder and President of the Ottawa AI Safety Initiative

Rudolph Lohmeyer, A.T. Kearney

Christopher Cormack, Quant Foundry Limited

Fidelis Hove, Genesis Analytics

Chad Neutek, NEUTEK

Boris ARCINIEGAS, Business It

Neel Somani

Alexander Brust, DNV

Sharon Gai, Culture Fluid

Luc NANGA, Intelligence Qubit

Rohinton Medhora, McGill University

Aaron Wood, The University of Tampa

Guru Chadha, Value CoCreators LLC

Owen Zidar, Princeton University

Howard Brown, Revenue.io

Cloda Jenkins, Imperial College London

Kendon Bell, Scarlatti, New Zealand

Edward Tsang, University of Texas at Dallas

Anthony Finbow, Agential Biology Institute

Gunnar Grass, Chef Jasper

Geoffrey Leonardelli, University of Toronto

Ali Ozkes, Vienna University of Economics and Business

Christina Gathmann, LISER and IZA@LISER

Pasquale D Apice, European Commission

Benjamin Sprecher, Delft University of Technology

Gina Neff, University of Cambridge

Ludovic Subran, Allianz SE

Climent Quintana-Domeque, University of Exeter

Jeremy Huang, Harvard University

Oguz A. Acar, King’s College London

Stephan Ganter, Digital Health SolutionSales Manager

William Everitt, Princeton Wood Preservers Ltd

Amy Fane Hervey, University of Stellenbosch

Tan Zhi-Xuan, National University of Singapore

Gianluca Caruso, Private

Ali Hasanain, Lahore University of Management Sciences

Karl Schmedders, IMD

Ravinder Bommu, Wiley

Val Samonis, Vilnius University

Chris Varvares, Economist Intelligence Unit

Gad Levanon, Burning Glass Institute

Cristiana Firullo, Cornell University

Sondre Solli Halvorsen, NTNU – Norway

Sondre Solli Halvorsen, Student

Ivan Ortenzi, BIP

Olivia Zamis, University of Chicago (Student)

Halsey Roberts, Indiana University

Nadia Zakir, University of Leicester

Ada Pirolo, Intesa Sanpaolo

Joseph Chan, Columbia University

Sebastian Kranz, Ulm University

Michael Scheessele, Indiana University South Bend

Patricio Dominguez, Pontificia Universidad Católica Chile

Johannes Wachs, Corvinus University of Budapest

Petros Dimas, National Technical University of Athens, Greece

Raja RAJENDRA Timilsina, Asian Development Bank institute

Sebastian Buhai, Stockholm University and UC Chile

Tauã Magalhães Vital, Mercado Libre

Ángel Valarezo-Unda, Universidad Complutense de Madrid

Rakesh Verma, Nokia

Alejandro Guerrero, OECD

Christelle Luchsinger

Ahmet aysan, HBKU

Zachary Schlosser, Prosperity of the Commons International

Nicole Martinez, Let’s Jetty

Tom Hashimoto, Vilnius University

Vihar Georgiev, Sofia University “St. Kliment Ohridski”

Maik Huettinger, ESSCA

Teemu Pekkarinen, University of Vaasa

Edoardo Ciscato, KU Leuven

Mahdiyeh Entezarkheir, Huron at Western University

Victor Gonzales

Jory Pestorious, Workhelix

Paul Röttger, University of Oxford

David Gustavo Soriano, LATAMiA

Sundar Bharadwaj, University of Georgia

KEITH MG, Graduate Northwestern

Thomas Smith, Tony Blair Institute for Global Change

Ningning Wu, Cornell University

Andy Neely, University of Cambridge

Francis DiTraglia, University of Oxford

Gabor Melli, LegalOn Technologies

Jon de Quidt, Queen Mary University of London

Francesco Pigliaru, CRENoS, Università di Cagliari, Italy

Mark Esposito, Northeastern University & Harvard University

Kenneth Church, Northeastern University

Greg Schuckman, Western Governors University

Scott Witt, Coalition for Smarter Buildings (Linux Foundation)

Kivanc Altintas, Research Assistant (PhD)

Faizan Chundrigar, Georgia Institute of Texhnolo

Mark Ruppert, Northern Arizona University

Justin Buell, Scout Lunar Inc.

Guido Baldi, Swiss Inclusive Productivity Monitor

James Norris, Center for Existential Safety

Nirav Patel, University of New Hampshire

Ashley Craig, Australian National University

Uchenna Offorjebe, University of Chicago

Codie Petersen, Asteres Technologies

Berkant Kacar, AI Consultant, Darmstadt / Germany

Peter Henderson, Princeton University

Thomas Renault, Paris-Saclay University

Aurélie ‘Lily’ Jean, Infra

Stanislav Ivanov, Zangador Research Institute

Joseph Brusuelas, Chief Economist RSM

Diego Malatesta, Private

Silverio Zebral Filho, OAS School of Governance

Heather Flannery, AI MINDSystems Impact

Richard Wellen, York University

Manuel J. Molano, Universidad de las Américas Puebla

Julian Lopez-Milla, University of Alicante

Daragh Meehan

Hyun Cheol Kim, Korea Artificial intelligence Association

Alberto Bisin, NYU

Łukasz Müldner-Nieckowski, Mental Path (Luxmed / Bupa Group), PL; Polish National Consultant in Psychotherapy

Prerna Dewan, Indian Statistical Institute (PhD Student)

Enrique De la Rosa-Ramos, King’s. College London

Olaf Groth, UC Berkeley Haas School of Business & Cambrian.ai

Isa Mutlib, Cotalent AI

Andrew Peterson

Soulé DIKO, Dssi

Henning Vöpel, Centre for European Policy

Margaret Wallace, Boston University

Madhu Shashanka, Concentric AI

Susan Guest, humanU+AI

Gonzalo Gárate Sierra, HELIX inteligencia

Dian Diallo, RD Digital

Gökhan Karabulut, Istanbul University

Sumit Sanghai, Google

Francisco Molinero, Stamford Capital

Benjamin Hansen, University of Oregon

Julian Sommer, Harmoniq Coordination Institute

Ezequiel Nascimento, AI Researcher | Machine Learning | AI Ethics

Ernesto Ugolini, Oldenburg University

Xavier Briggs, The Brookings Institution

George Gui, Columbia University

Ezequiel Nascimento, Researcher in Artificial Intelligence, Machine Learning and AI Ethics

Suphanit Piyapromdee, University College London

Andres Drenik, The University of Texas at Austin

Ravi Pothapragada

David Ticoll, University of Toronto

Engy Ziedan, Indiana University

Philip Metzger, University of Central Florida

German Petersen, Polydata

David Wroe, The Australian Strategic Policy Institute

Adam Seth Litwin, Cornell University

Tess Fagan, MIT FutureTech

Jonathon Hazell, London School of Economics

Hitanshu Pandit, Bates College

Werner Aumayr, digIT-Circle Austria

Alexander Jung, Aalto University

Jesse Matheson, University of Sheffield

Victor Barone, Asuncion, Paraguay

Beth Porter, Boston University, Stanford University

Hassan Mujtaba, UMass Amherst

Alex Zanon, Digital Attitude

Aleksandr Kondratenko, Chalmers University of Technology

Erick Gonzalez Aguilar, Avant.Dev / ITU P2C Pledge #7528

Francisco Gabriel Rodríguez González, Universidad de las Américas Puebla

Alex Duffy, Good Start Labs

Ross Matican, Halcyon Futures

Stijn Decneut, KU Leuven

Salvatore Loguercio, Scripps Research

Bastián Olea Herrera, Subsecretaría de Desarrollo Regional y Administrativo

Matthew Bone, University of Oxford

Igor Asanov, University of Kassel

Steven Ollek, Elessar Strategy

Paul Gertler, University of California Berkeley

Seongkyu Gilbert Park, Willamette University

Jim Hornthal, UC Berkeley Haas School of Business

Tomás Aguirre, GovAI

J.Santos Pires, Retired Executive

Willian Adamczyk, Universidade do Vale do Itajaí

Hiroo Teraichi, The Open University of Japan

Alok Gupta, University of Minnesota

Hector Pollitt, University of Cambridge

J. Jobu Babin, University of Northern Iowa

Shaolong Lorry Wu, Harvard University

Martijn Burger, Erasmus University Rotterdam

Stephan Meier, Columbia University

Augustin Breda, Cgil Italy

Frederick Goff, The Excelsior Group

Colin Henny, CPA Society

Ali Shourideh, Carnegie Mellon University

Gary Lai, Independent

Dimitri Ognibene, University of Milano-Bicocca

Bradley Canham, University of St Thomas

Diego Restrepo-Tobon, Universidad EAFIT

Takao Shigeta, SBI Graduate School

Bulent Guler, Indiana University

Pallavi Chitta, Curie Quantum

Sudhir Tiku, Author, World Scientific

Adam Khoja, Center for AI Safety

Brent Goldfarb, University of Maryland

Mogens Fosgerau, University of Copenhagen

Juan Camilo Villar Otálora, Externado University of Colombia

Hermann Tribukait, Atinary Technologies

Rey Rosales, Macewan University

Phanish Puranam, INSEAD

Alexander Cutler, University of Washington

John Daniel, Christian

Steven Keith Platt, Loyola University Chicago

Audrey Tang, University of Oxford and Taiwan’s Cyber Ambassador

Elijio Martinez, Martine Musings

Tianle Ma, Oakland University

Charlie Nave, Monash University

Fabio Motoki, University of Texas Rio Grande Valley

Frank So, Private

Travis Taylor, Christopher Newport University

Konstantinos Stouras, UCD

Kwadwo Asamoah, University Of Ghana

J. Xavier Prochaska, University of California, Santa Cruz

Alan Bester, Georgetown University

Alfonso Pretto, Paullier & Cia International

Peter Norvig, Stanford Univerrsity

Teddy Lee, Anthropic

Jay Bennett, Humanity

Barsat Khadka, The University of Southern mississippi

Timothy McAllister, University of Central Florida

Kaitlin Cort, What We Will / Tech Workers Coalition

Thomas Stone, University College London

Gustav Alexandrie, University of Zurich

Anushya Chandran, Boston University

Cesario Nakamura, Accendo Advisory

Hiroaki Miyamoto, Hitotsubashi University

Max Nathan, UCL

Saining Xie, Advanced Machine Intelligence

Brian Martin, AbbVie

Shubh Pachchigar, Dell Technologies

Lior Zalmanson, Tel Aviv University

Nasir Hossein Dad, Boise State University

Leonardo Grapeia, Accenture

Andrew Williams, Mila, University of Montreal

Maria Valencia

Nathanael Fast, University of Southern California

Julio Cesar Garcia, UNIVEL

Carlos Coronel, Jones College of Business, MTSU

Sylvie Leduc, UQAM & CIRANO

Paul M, SafeEarthSolutions Pty Ltd

Kazuhiko Shibuya, University of the Ryukyus, Japan

Bernard Miller, Killam Trusts

Angel Feijoo, Acadexia Peru

Stephen Barnham, University of Birmingham

Von Leong, Purpose Venture Capital

Elmekdad Shehab, Qatar University

Harry de Gorter, Cornell University

Joe Golden, Paper2Audio

Yupeng Liu, University of Colorado Boulder

Annie Hardy, Split Futures

Nayat Sanchez Pi, INRIA

Philip Kyeyune Kazibwe, Centre for Infrastructure Consulting

Luis Carlos Reyes, Pontificia Universidad Javeriana

Mai Mavinkurve, Prosperity Global Services

David Kuo Chuen Lee, Global Fintech Institute

Derek Chong, Stanford University

Steph Sharma, EuroMed Academy

Alberto Serdan Rosales, Public Servant

Anjana Susarla, Michigan State University

Jonathan Chew, Brandrev.ai

David McGaw, The UX Humanist

Rubhesh Jha, AIFirstAdvisor

James Jen, Shotgun Ventures

Manuel Hoffmann, University of California, Irvine

Samil Oh, Bank of Korea

Piyushimita Thakuriah, Rutgers University, New Brunswick, NJ

Jean-Claude Maswana, School of Economics, Ritsumeikan University, Japan

James Parrott, New School

Glen Y, Meridian Cambridge

Antônio Rodrigues da Silva Neto, Neo Code Instituto de Tecnologia e Educação Ltda

Ananjan Nandi, NowPilot

Cody Avant, Insurance

Weiyan Shi, Northeastern University

Claudio Alejandro Valdivia Martínez, Researcher

Carlos Calderón, UTEC

Vamsi Kodam, FLYR

Toby Walsh, UNSW Sydney

Jun Hyung Kim, KAIST

Hanseok Suh, Gachon University

Jong-Sung Hwang, National Information Society Agency

Peter Morgan, Deep Learning Partnership

Sandeep Das, Tata Institute of Social Science

Sunita Vaidyanathan, Founder

Jilly Gabriela Rivera Vargas Machuca, Independiente

Ercan Ekmekcioglu, AZi

Carolina Alves de Lima Salge, University of Georgia

Kosuke Uetake, Yale University

Aviv Ovadya, AI & Democracy Foundation

Naresh Kumar, World Bank

Colin Mang, McMaster University

Wilber Armel Cortez Gomez, Egresado Universidad de los Andes Colombia

Trang Pham, UEL VNU HCMC

Abhay Gupta, Indian Institute of Technology, Kanpur

Petr Lebedev, SciencePetr

Kaibalyapati Mishra, NIT ROURKELA

Shruti Rajagopalan, George Mason University

Akshey Singhal, AI Engineer/ Professor

Daniel Wigdor, University of Toronto

Akshey Singhal, Lambton College

Christina Jie Tscai, ALLIN_AILIN@X.com

Monica Morlacco, University of Southern California

Jonathan Black, Ditchley Foundation and Sherpa to U.K. Bletchley Park AI Safety Summit

LaVada English, The National Association of Women in AI

Darius Atmar, Brown University

David Broggy, Microsoft MVP, Cybersecurity

Stephen Rubb, Sacred Heart University

Chandu Parimi, BITS Pilani Hyderabad Campus , India

Khader Mohammed, Falconrock, Inc

Rangamannar Veeravalli, Great Lakes Institute of Management, Chennai, India

Dean Gilbert, Former Google and YouTube Executive

Valentin Martinez Biasi, Universidad de Buenos Aires

Kenji Utagawa, University of Tokyo

Pablo Egana-delSol, Adolfo Ibanez University

Giuseppe Torre, Pontificia Università Antonianum

Byung Chul Lee, RISCON AI

Colin Lewis, Navatir

Jason Kerwin, University of Washington

Mehmet Kocaman, Employee

Muhammad Nadim Hanif, Institute of Business Management

Adrien Joly, London School of Economics

Eric van Heck, Erasmus University Rotterdam

Jaehyuk Park, KDI School

Richard Smith, Simon Fraser University

Joel Luís Carbonera, Federal University of Rio Grande do Sul (UFRGS)

Michael Murphy, Loyola University Chicago

Chiaki Moriguchi, Hitotsubashi University

H.K Pradhan, XLRI- Xavier School of Management, Jamshedpur (India)

Bobby Babbrah, Flipp.ED Ventures

Barbara Boggiano, Universidad Alberto Hurtado

Miguel Angel Saravia-Rojas, UPCH

Vaibhav Jha, Editor and Co-founder, AI FrontPage

Pablo Astudillo-Estévez, Universidad San Francisco de Quito

Ben Fall, EPFL

Michael Niemira-Dowjat, Concerned Citizen

Shamod Lacoul, Jobsflow.ai

Iti Bhargava, Signal Studio

Yannis Ioannides, Tufts University

Ioannis Petrakis, Northumbria University

Robert Trager, University of Oxford

Mario Campuzano, BS

YiMing Lin, MIRDC

Stefano Mizio, Politecnico of Milan

Georg Schlomka, Independent AI safety researcher

Erika Taranto, Universidad Casa Grande, Guayaquil – Ecuador

De Kai, HKUST (HK) / ICSI (Berkeley)

Marcel Jaun, Bern University of Applied Sciences

Myriam Blin, Charles Telfair Centre

Roberto Mosquera, Universidad de las Americas

Michael ARBEL, Inria

Ashok Goel, Georgia Tech

Leon Wieseltier, Liberties

David Fleming-Muñoz, La Trobe University

Oscar Zapata, University of Saskatchewan

Bob Bastian, Politecnico di Milano

Carl-Henry Cadet, Education is Wealth Foundation

Daniele Agate, Unipa

John Ayers, Disruptor Confessions

Roue Yecpot, AIScale.pro

Sasha Ivanov, AXL

Fan Zhang, ULVAC

Marcus A. Link, Manupool

Michael Eddy, Stanford University

Adomas Klimantas, ISM University of Management and Economics

Hyundam Je, University of Seoul

Amna Usman Chaudhry, Autonomous Finance

Michele Lenza, European Central Bank

Azita Esmaili, Atos

Herby Olschewski, ZaGenie MSP

Manuel Land, Startup Factory Mexico

Jean-François Carrasco, University of Nice

Piyush Mishra, Independent Researcher AI Policy

Vincenzo Dentamaro, Univeristy of Bari | Geodesia.ai

Kaushik Basu, Cornell University

Naruko Kodama, I&W Partners, Inc.

Christian Schumacher, Vienna University of Economics and Business

Tom Mitchell, Carnegie Mellon University

Tommaso Nannicini, European University Institute

Christian Peukert, University of Lausanne

Peng Wang, Bytedance

Yatima Kagurazaka, The University of Tokyo

Berken Arslan, University of Nottingham (MSc Economics & Data Science)

Will Fithian, UC Berkeley

Praveen N, Center of Policy Research and Governance

Bouke Klein Teeselink, King’s College London

Marc Porat, Millennial Advisors

Jungpil Hahn, National University of Singapore

Samuel Nocito, Sapienza University of Rome

Giuseppe Attardi, Università di Pisa

Nona Mamulashvili, Former Member of Parliament of Georgia

Jesse Weltevreden, RankmyAI and Amsterdam University of Applied Sciences

Noah Zahnd, Greater Zurich Area AG

Joshua Blumenstock, University of California, Berkeley

Tarje Nissen-Meyer, University of Exeter

Christian Fichter, Kalaidos University of Applied Sciences

Stanislav Bonislavskyi

Gustavo Valente, Abbiamo

Daniel Ziekenoppasser-Powell, Independent Researcher

Caner Giray, İstanbul Okan University

Miquel Banchs-Piqué, Fraunhofer ISI

Fabrizio Silvestri, Sapienza University of Rome, Italy

Ugo Y, Geneva Graduate Institute

Ismael Rodríguez-Lara, Universidad de Málaga

Marco Fernandes, ANACOM

Radouane Monhem, Ministry of Education and Higher Education, Qatar

Paul Shenouda, Polytechnique Montréal

Halmi Silviu, ISPRO

Rohan KG, Indian Statistical Institute

Jan Marco Leimeister, University of St.Gallen

Halmi Silviu, ISPRO

Simeon Schudy, Ulm University

Sabine Döring, Tübingen University

Marcus Pivato, Université Paris 1 Panthéon-Sorbonne

Martin Aubel, AI and Data Professional

Alastair Moore, University College London

Harris Neeliah

Danny Bluestone, CobaltLions

Alfonso Rosa García, University of Murcia

Bram Timmermans, NHH Norwegian School of Economics

Nurlan Rahimli, PhD in Economics at Kozminski University, Warsaw, Poland

UMIT OZAYDIN, Dragoman Language Solutions

Peter Chatwell, Ambertrace Labs

Dr. Rajendra Pratap Gupta, Chairman – Dynamic Coalition on Digital Economy, Internet Governance Forum

Tamsin Deasey-Weinstein, CTI

Efrat Behar-Netanel, MOSAIC AI Policy Institute

Kehinde Ademolu, Redoubt Labs

Giuseppe Piero Grillo, beppegrillo.it – movimento5telle.it

Ross Medcalf, Concerned Citizen

Mika Takayanagi, Professor Emeritus, Nagoya University of Foreign Studies

Matthew Norman, Insight Health Analytics

Manoj Maharaj, University of KwaZulu-Natal;u-Natal, South Africa

Don Tocher, Donline Computer Consultancy Ltd

João Abrantes, Polytechnic University of Viana do Castelo

Oliver Tian, APARA, IARA, GRC, Oliver Tian Associates

Monika Schnitzer, Ludwig Maximilians University of Munich

Franca Garzotto, University of Milano-Bicocca

Shimon Waldfogel, Moonshot Press

Tom Millinchip, AI Ready

Miguel Trigo, Universidade Fernando Pessoa

Noreena Hertz, University College London

Benjamin Patrick Evans, JP Morgan AI Research

David Martinez de Lecea, DnA Holding

James Clare, Saïd Business School, Oxford

Ashutosh Tiwari, SAFAL Partners

Arthur Wetzel, Media University, Berlin

Raahel Baig, Experian

Sarah Parlane, University College Dublin

Apostolos Vetsikas, University of Thessaly

Erwin van Sas, Associate Professor Economics

Fabrice Rousseau, Maynooth University

Euncheol Shin, Korea Advanced Institute of Science and Technology

Raffaele Coriglione, Black Box Host (Chora Media)

Martin Vanek, ACS Research

Duke Dukespan, ohrenkino.com

Wilson Lau, Educator

Bert Hofman, East Asian Institute NUS

nicolas blanc, GPAI

Spiros Konstantopoulos, Microsoft

Tim Xu, Accenture

George Kourousias, Elettra Sincrotrone Trieste

Frank Trierweiler, EducDesign

Gupteswar Patel, IIM Bodh Gaya

Thierry Burger-Helmchen, Faculty of Economics and Management, University of Strasbourg

Filippo di Mauro, IWH-CompNet

André Hinkenjann, Bonn-Rhein-Sieg University of Applied Sciences

Alexandra Pinto, Hoursec

Robert Butscher, Technical University of Applied Sciences Würzburg-Schweinfurt

Stefano Grancini, Nova SBE

Axel Richter, IEEE

James Ong, Artificial Intelligence International Institute (AIII)

Mohammed Sharukh, IISER Pune

Nathaniel Cornoiu-Jitaraşu, Romanian Competition Council

Timothy Barnes, Centre for Entrepreneurs

Rasmus Helt, Historian and Content-Manager Ecommerce

Tom Jones, Leomayn

Pratima Pareek, Editor and Co-founder, AI FrontPage

Georgios Koimisis, Manhattan University

Fernando Ramos-Palencia, Universidad Pablo de Olavide (Seville-Spain)

Fabricio Frontera, Independent Researcher

Johannes Dahlke, University of Twente

Helena Skyt Nielsen, Aarhus University

Johannes Angeldorff, Chalmers University of Technology, Gothenburg, Sweden

Gene Moo Lee, University of British Columbia

Sivaram Kurpati, SnehaHasthaalu Foundation

Connor Atkins, Swansea University

Toby Ord, University of Oxford

Flavio Bazzana, University of Trento

Mahmoud Mohieldin, Cairo University

Dean Thake, Liverpool University

David Caswell, Signals at Scale Ltd.

Andreas Rükgauer, THWS Business School, Würzburg, Germany

Isaia Gisler, ETH Zurich

issachar lev, cs student

Patrick Honohan, Trinity College Dublin

J. Paul Wright, ALLIANCE 4 CHILDREN

Volker Holz, Cyan IT GmbH

PV Boccasam, Jörn Capital

Ali ihsan Balcı, Zonguldak Bülent Ecevit university

Spenta Wadia, ICTS-Tata Institute of Fundamental Research, India

Till Wenke, ETH Zürich

Patri Pérez, DoubleYou

Shuwei Fang, Harvard University

Sarah Gillard, Blueprint for Better Business

Hendrik Müller, University of Applied Sciences Fresenius

Jesse Lastunen, UNU-WIDER

Horatiu Rus, University of Waterloo

Sarah Kuhn, ETH Zurich

Simone Quercia, University of Verona

Eamonn Caffrey, Trinity College Dublin

Patricia Prüfer, Centerdata & Tilburg University

Hendrik Leitner, Argument House

Prabhat Barnwal, Michigan State University

Thomas Livelli, EQT Partners

Jose M. Carabias, London school of Economics

Paolo Coppola, University of Udine

Sabrina Barcaroli, Cityzen

Oscar González Peralta, IESE Business School

Niko Schwarz, Google

Hande Gürsoy, ET Zurich

Meike Altmann, Umicore AG & Co KG

Ike Malmros Nilsson, Citizen

David Bray, Stimson Center

T Venkatesh, University of Hyderabad

Gustavo Munoz, Instituto Tecnológico Autónomo de México (ITAM)

Carsten Köhler, unaffiliated

Yadvinder Rana, NegoAI

Katie Ford, Microsoft

David Zalewski, Providence College

Felix Zhang, Refond optoelectronics CO. LTD.

Chibuzor Nwachukwu, Mission To Scale

Matthew Grimes, University of Cambridge

Nafees Ahmad, Graduate stuy

Giovanni Cicuttin, Lenovo

Timothy McClellan, Republican

Roxana Diaconiuc, CFO

Jeff Bouganim, Independent Advisor, AI and Financial transformation

Helen Margetts, LSE

Patrick Tisalona-Nakoa,

Smaragda Vlachou

Mario Santiago, root

Cosmina Dorobantu, London School of Economics and Political Science

Chandrashekar DP, Fractal analytics

Carsten Hennig, Digital Evangelists

Daniel Hembling, nonagon AI

Carlo De Matteo, Wonderful.ai

Marcelo Vieira da Silva, Euroban Brasil

Aman Minhas, IT Corporate

Bernhard Friess, Managing Director of Agentic ERP Broker

Silvana Denicolò, International Market Researcher

Oyvind Aasbrenn, private

Brianna Newkirk, Business Owner

Koshi Matsushita, Wakayama Prefecture Data Utilization Promotion Center, Japan

Kabir Bhatt, As citizen of post abundance era

Dwi Agustian, Universitas Padjadjaran

Bruna Silveira, Student

Nikolay Sudarikov, Hypothesis3

David Taboada Garza, Consejo de Seguridad de la Información y Ciberseguridad, A.C. (CONSEJOSI)

Mohammad Rahman, Purdue University

Leo Bartu Hong, Student

Llewellyn Ellardus van Zyl, North-West University and Psynalytics

Naresh Taneja, HR Professional

Marton Balazs, University of Bristol

Florian Ostmann, London School of Economics and Political Science

Alexandre Samy De Castro, ipea – instittute of applied economic research, Brazil

Jose Camero, TRIDITIVE

Leon De Beer, Norwegian University of Science and Technology

William Sewell, Janney Montgomery Scott

Stuart Mountjoy, Student

Carlos Lopes, University of Cape Town

Alexis Delavaquerie, NET6TM

Shinnosuke Kikuchi, UC San Diego

Ghim Ping Tan, Software Engineer

Zibo Zhao, Arizona State University

Paul Roosenstein, SWP Publishing

Santhoshkumar P, IT professional

Robert Otty, Ex-Wits University

Kam Kothia, Star Academies Trust

Biljana Sipka

Ruud Muffels, Tilburg University

James Sherwood-Rogers, Ontologica

Dhiren Chatlani, Actyus

Sanaz Ahmadi, Payatech Consulting

Jorge Toro, Universidad Carlos III

Natalie Koeppe, HR Executive, PhD

Mickie De Wet, Católica Lisbon School of Business and Economics

Magnus Lodefalk, Örebro University and Ratio

Georg Stjernswärd, Philosopher

Zeno Heilmann, CRS4

Sergio Prada, Fundación Valle del Lili

Paige Babor, Independent

Michele Sandrolini, Bologna University

Andrea Venturini, Poste italiane

Pedro Hollanda, ISE Business School

Guido Bongioanni, European University Institute

Bugge Holm Hansen, Copenhagen Institute for Futures Studies, CIFS H3 AI Lab

Brent Smith, Creative director

Neelakandan NC, Agentronics

Bonnie Factor, Leading With Success

Wilfred Rubens, WilfredRubens.com

Sung-Kook Han, Won Kwang University, Korea

Johannes Winkelhage, Frankfurter Allgemeine Zeitung

Edson Augusto, PMI

Valentina Gonzalez-Rostani, University of Southern California

Luciano Tavares, Morais & Tavares Advogados Associados | MTAA

J. Timothy Lefever, Greystone Foundation Inc.

Giuseppe Cinque, Cisco

Daniele Pini, Università degli Studi di Milano-Bicocca

Theofanis Tasis, Ionian University

Alejo Sison, University of Navarre

Herlon Oliveira, Amazonia Tech Partners

ROMAINE FOSTER, CICBD

Jacopo Piana, Scops.ai

Luis Reis, Porto Business School

Mattia Laudi, LISER

Teun SCHMIDT, Erasmus University Rotterdam [retired]

Larry Shapiro, Copper Ocean

Jan Pacan, Match-Maker Ventures

Tafadzwa Macdonald Sigauke, Vantara Group

Paulo Paiva, Fundação Dom Cabral (FDC)

Adam Dorr, RethinkX

Patrick Degenaar, Newcastle University

Alexander Trauth-Goik, University of Vienna

Louis Rosenberg, Unanimous AI

Meghan Graham, Crux Consult

Bekah Selby-Leach, Wichita State University

Moustapha Diack, Southern University A&M College

Calum Chace, Author, The Economic Singularity

Gina Palladino, Volunteer with the Aging

Marco Tulio Daza Ramirez, Universidad de Guadalajara / Universidad de Navarra

Philippe Soupault, Systems architect

David Niño, MIT

Sabine Dubedat, Lawyer

Mads Petersen, A simple Nobody

Gabriele Bortolotti, Student

kelley arthur, Purdue (Doctoral Student)

Intae Yoon, North Carolina State University

Martin Bell, Concerned Public

Bojan Bjelic, CTO hateBlocker

Paola Sapienza, Stanford University

Wolfram Conen, Westfälische Hochschule

AJ Barea, Rochester Institute of Technology

Artur de Arruda Campos, Associate at Targa Capital

Shashwat Ghosh, XLRI Institute

Kurt Barth, Scholar, Human race

Brenda Bertol, The AI n I

Louis Macias, University Professor

Mats Johansson, Chairman Gridly

Wannaphong Durongkaveroj, Ramkhamhaeng University

James Ruggieri, CEO General Machine Corp. PC

Jacopo Macrì, CGIL

Huzaifa Shaikh, Mumbai University

Christopher Taylor

Felix Rusche, Max Planck Institute for Behavioral Economics

Nico Voigtländer, University and University of California, Los Angeles

Henri ISAAC, Université Paris-Dauphine PSL

Jörg Poersch, crossgo GmbH

Aubrie Pagano, Alpaca VC

Jaś Fasola, AI Privatee University

Markus Dicks, Former Head of the German AI-Observatory

Min Ding, Pennsylvania State University

Hubert Oesterle, University of St. Gallen

Axel Dittmann, Microsoft

Christopher Medina, BlastPoint

shailendra nema, Industrial IoT

Sanjyot Dunung, Atma Global Knowledge Media Inc

Lisandro Bril, Lisandro Bril Technology Ventures (Argentina)

David Folkerts-Landau, Deutsche Bank

Claudine Curran, Curran Design

Shafi Ahmed, Barts Health NHS Trust

Walter Palmetshofer, TU Wien

Blanc Nicolas, GPAI

Linda Canlan, Meta

Joachim Wagner, Leuphana University Lüneburg

Raphael Araujo, Accenture

Luke Stein, Babson College

Edgar Rodríguez Ríos, Pontificia Universidad Católica de Puerto Rico

Marie-Christine Fregin, Maastricht University (ROA)

Luz Maria Rivas, Universidad Eafit

Nishan Mills, La Trobe University

Paulo Carrijo, UFG

Christine Valente, University of Bristol

Isabel Oliveira, Federal University of Rio de Janeiro

Rachel Bui, Aires

Nina Bajon, Independant

Angel Gavieiro Besteiro, AG Strategy & Partners

Swapnil Hase, EPAM Systems Limited

Anik Bose, Ethical AI Governance Group

Johanna Fajardo

Adrian Cocolos, Founder

Brian Gassman, Coherent AI Systems

Michael Mallett, Experience Futurist

Danique Eijkenboom, Maastricht University

Sian Tsuei, University of British Columbia

Grant Sawyer, Brandeis University

Adam Grant, The Wharton School, University of Pennsylvania

Cecilia Seri, UNU-MERIT

Scott Nowack, First Presbyterian Church of Marysville, Ohio

Serkan Tezcan, Stanford Business School of Administration

Sherveen Mashayekhi, Free Agency

Monica Kowal, BoardView AI

Bas Engelblik, AI Tool Product Owner

Werner Pisar, Citizen

Stefan Brennecke, Athanor Akademie

bakka br, BakkaLabs

Juan Zufiria, Bankinter Innovation Foundation

Mary Gribbin, Pratt Institute

B. David Lennert, Citizen

Vishal Patel, Stanford

Raja Vanga, we the people. A Citizen

Terence Tse, AI Native Foundation

Prateek Kathuria, We the people

Rowan Clarke, Harvard Business School

Miki Guillamón, Just For Fun

John Schmitz, TOK4ALL

Ramesh Manian, Stanford University

Stefan Schleicher, Professor

James Harper, Inanimate Alice

Tara Traeder, Point Taken Consulting

William Hope, Wilfrid Laurier University / Independent

Joshua Ross, University of Denver

Alex He, University of Maryland

Thomas Hoeche, Fraunhofer IMWS

Amber Exton

Tony Curzon Price, NESTA

Lenny Mendonca, State of California, Former Chief Economic and Business Advisor

Wallace Judd, Authentic Testing Corporation

Heloise Delfosse, Asset management

Petros Papadakis, Hypersystems

Lisa Iannucci, Monmouth University

Alexandra Iliopoulou

Lan’Tiqua Burks, Private

Roxana Del Valle, Pontificia Universidad Católica del Perú

Saad Asiri, KFUPM

Áine Myler, Charities Institute Ireland

Mikael Westerlund, CEO of AI-utbildarna Sverige AB

Sarah Soisson, ClaraPrice

Marco Schaa, Allpax GmbH & Co. KG

Scott Quill, Unprompted Media

Ferran Maylinch

Sebastian Krawczyk, TU Wien

Risham Garg, National Law University Delhi

David Kyler, Center for a Sustainable Coast

Jimmy Martínez, naska digital

Hugo Ramallo García, Globalcobots.com

Moses Charikar, Stanford University

Thomas Hartkens, NursIT Institute GmbH

William Massy, Stanford University (emeritus)

Claire Holcombe, Wheaton College

David Sten

José González, Artist

Fabio Miani, University of Udine, Italy

Russell Sabella, Sabella & Associates, LLC

Brian Wood, Independent Analyst

Mark Cliffe, University of Exeter and London Institute of Banking & Finance

Andrea Kehoe, Austin Community College District

Roberto De La Pava Abad, Empresario

Paula Grzybowski, Advocate Aurora

Paolo Giudici, University of Pavia

John McLachlan, Independent

Marcin Wolski, European Investment Bank

Lukas Freund, Boston College

Richard Teed, LBi Software

Klaus Radunsky, ASI

Giles Carden, University of Southampton

Joshua Greene, Harvard University

Deanna Kilburn, Citizen

Phillip McKeown, Madison College

Christian Bailey, LightSett

Mikalai Karelin, EPAM Systems

Norbert Wohlgemuth, University of Klagenfurt

Matthew Jackson, Stanford University

Mordecai Kurz, Stanford University

Lauren Milan, CohabHaven LLC

Aharon Acosta, Challenge University

Sebastien Jacquinot, Nest Commerce

Amrit Raj, EY

Bradford Cornell, UCLA

Leonardo Oliveira de Meira, Bank of America

Ralf Elsner, Elsner working in Administration of Duisburg

Rachael Fowler, Cayman Women In Tech

Nina Hirota, Global Synergy Partner Solutions

Silvio Gerlach, Alexano

Yao Xie, ContextWell Lab

Marco Letta, Sapienza University of Rome

Angel Chacon Patiño, Universidad de los Andes Merida Venezuela

Kathleen McGinn, inq strategies

James McCullough, Human Being

Jacy Anthis, University of Chicago

Kathy McNea

Ben Grime, Stable Future

Christopher Hanson, thedatabank, inc

Shanthini Mathavan, SDPP Lab

Wolfgang Hoehnel, University of Applied Science Bonn-Rhein-Sieg

Richard St-Pierre, Levio

Miraz Manji, University of Toronto

Serge Rouleau, Retired

François Raffin, Auki

Simon Eggeraat, Henry Ford Health System

Andrew Dooley, Tech Industry

Alejandro Retegui, Lawyer

Guillaume Raffin, Bull

Maya Okawa, Harvard University

Chang Ma, Fudan University

Elisa Bernardini

Piotr Drozd, Leaders for Climate Action

Kelsey Berteaux, Private US Citizen

Cole Wethington, University of Kentucky

Tania Treibich, Maastricht University

Lev Reyzin, University of Illinois Chicago

Goldy Dharmawan, Indonesian Ministry of Primary and Secondary Education

Scott Taylor

Sasha Senechal, Université Laval

Benjamin Xie, University of Denver

George Mathanool, COVE LLC

Didier Bonnet, IMD Business School

Sukwoong Choi, University at Albany, SUNY

Susan Aaronson, The George Washington University

John Grigsby, Princeton University

Ian Bassin, Protect Democracy

Filippo Scafi, Global Center for Advanced Studies

Rodrigo Assael, Pinion Education

Edison Clase, Teacher

Paige Donner, Frontier Registry

Diane Zipper, Keeping the next generation safe.

Serge Znu, Universal Business Income via X3EM Autonomous Unicorn Factory for Humanity

Rick Wesslund, BDC Advisors. LLC

Mark Kammerer, CEO Transparent Path

Steven Dooley, Professor Molecular Hepatology, Heidelberg University

Catia Montagna, University of Aberdeen

Luis Ragno, Centro de Estudios Prospectivos de Cuyo

Henri Kramer, User

Carlos Nigro, Independent scholar

Ricardo Shiroma, Contextual Intel

Eric Moore, Case Western Reserve University

Yadunath Bhargavan, We have been working AI & economics at Solvendo.ai for nearly a decade (it was access to justice technologies earlier)

Gabriela Cabello, University of Notre Dame

Pablo Carmona, Infinity AI Solutions

Gary Graham, Human

Elias Mokrane, Technical University of Munich

Daniel Falcone, University of Pennsylvania

Richard Berry, Business research and development for manufacturing

Terry Parkman, Next Generation Leader

Harminder Singh, Auckland University of Technology

Mary Boone, Boone Associates

Will Hong, SUNY New Paltz

Ricardo Carvalho, Zendesk

Bill Shier, Democrat

Rob Waiser, University of Kansas

Simon Neugebauer, Maastricht University

Rishabh Atray, Indian Institute of Management Trichy, India

Karen Murphy, Tango

Per Strömberg, Stockholm School of Economics

Haley Daniels

John and Karen Persico, Education

Walter Berger, Berger UTB

Dilip Chetan, Founder, Defensible Zone

Selim Kurt, Giresun University

Mario Galindo, Universidad Mayor de San Andres La Paz Bolivia

Nathalie Sanon, Université de Montréal, Collectif NRS

Jean Marc Rejaud, Fashion Institute of Technology

Donald O’Hara, Harrisburg University of Science and Technology

Donald Norbeck, Dark AI Defense LLC

Paolo Bevilacqua, Commercial aviation

Gene Leonard, University of Limerick

Francesc Rodriguez-Tous, Bayes Business School

Alessandra Cogoli, Bank of Italy

Sangkeun Kim, Yonsei University, South Korea

Krishna Pendakur, Simon Fraser University

Jeffrey Mensch, Hebrew University of Jerusalem

Marvin Deversi, AWO Germany

Nico F. Brandl, IMM Consulting interim management & more

Christopher Roth, University of Cologne

Hari Raman Pokhrel, Sanford Health

Matt Chevis, Stoke Poly

Andrea Neyra-Nazarrett, Harvard University

Karnika E Yashwant, KEY Difference

Seung Yong Lee, Korean Maryland Presbyterian Church

Rahul Bhatt, Cybersecurity Director

Iris. S. De Lis, Portland State University

Carlos E. Paz-Soldan, Techmien Corp.

Zachary Johnson, UC San Diego

Glenn Hubbard, Columbia University

Mardou Strikker, Student AI

Marguerite Hillman, National University

Marco Bentivogli, Graduate School of Management Politecnico of Milan

Jose Perez, UMU

Cheranellore Vasudevan, kartha.ai

Rosario Punzo, Beppe Grillo

Marcelo Gerpe, Poder Judicial de la Ciudad Autónoma de Buenos Aires (CABA) – Judiciary

Edgar Salvador Villazon Salem, Universidad Motolinia Del Pedregal

Felipe Valencia Caicedo, Brown University

Maty Bohacek, Stanford University

Gianfranco Mauro, Emissium

Shakti Tripathy, Shakti Business Ltd

Giorgio Motta, Lancaster University

Gabrielle Drouin, Ax.c

Chase Deso, Artist

Juliana Londoño Vélez, UCLA

Franz Schäfer, IT Sysadmin

Maja Strasser, Neurologische Praxis Solothurn

Stephen Froelich, HPQ – retired

Rochelle Woolen, Shadow AI Dangers

Erin Alexander, None

John Rubino, Bank of New York

Stephen Godfrey, Retired geologist

Ramiro Tovar, Instituto Tecnologico Autonomo de Mexico

Javier Aragón, AffectiveAI Research

Monica Gabay, National University of San Martin

Joel Thoresson, Volvo Group

Michał Marcinkowski, Wrocław University

Ashishkumar Vishwakarma, Pune University

Paulo Santos Monteiro, University of York

Matthias Firgo, Munich University of Applied Sciences

Exar Ahau, Tlacuilo

JP Pieterse, New Charter

David Sze, Greylock

Steven Rafter, Deptartment of Education Queensland

Giordana Maldonado, Universidade de Varzea Grande

Danilo Morais, Co-founder Radaradar

Leonardo Abreu, Economist

Giordana Maldonado, University of Varzea Grande

Rocio Fernández-Rubíes Aguirre, Wiselook

Steve Marder Marder, Independent Scholar

Jory Des Jardins, Candor Partners

Sunuk Park, Fenix Research

Janice De Los Reyes, Create Tomorrow

Rocio Perales Valdes, AISI @ Georgia Tech

Kiseok Lee, KSL Energy Institute

Denis Royer, Ostfalia University of Applied Sciences

Rohith Jyothish, O.P. Jindal Global University, Sonipat, India

Nolwenn Godard, Carbon 2C

Mugabe Rucyahana, Nsubiza

Patrick Upmann, AIGN.global

Kimball Wilkins, Hourglass Health, PhD/alumna UC Berkeley

Tommaso De Santis, Optimizm Solutions Inc.

Anu Järvinen, Fashion Retail

Harri Juntunen, Liberal Party Finland

Ricardo Zermeño-González, CEO Select (México)

James Traina, New York University

Ezio Viola, The Innovation Group

Eddan Katz, UC Law SF

Ramrao Wagh, Goa University India

Cenk Acar, Prodex

Muhsina Kamal

Jason Krech, Humanity

Mona Nikhanj, UofA

Harshul Basava, Georgia Institute of Technology

Matthew Rascoff, Stanford University and Anthropic

Alexandru Burghelea, Alibox italia

Vilson Simon, Àgora Learning & Consulting

Isabel Günther, ETH Zürich

Jon Down, University of Portland

Ayub M. Omar, Maayaa.com

Cynthia Bailey, Stanford

Pamela Gonzalez, Concerned US citizen in Texas

Christian Gruber, CEO, Innophore

Marc Cobb, Woodinville Montessori School or American Montessori Society

Dominic Martin, Université du Québec à Montréal

Johan Varno, IBM

Michele Mantovani, private italian citizen

Lon Peters, Retired

Marin Komadina, Head of Data & AI

Evan Lopez, Creative Professional

jean macedo, PowerWorks AI

Sean Dacat, U3A

İrem Öztürk, Child And Media Lab

Stephen Spear, Carnegie Mellon University

Zeynep Kumkale, Child and Media Lab

Toshko Kirov, University of Toronto

Swaeny Nina Kersaan, Universitat Oberta de Catalunya

Daniel D. Cote, Retired lawyer province of Quebec i

Gordon Taylor, University of Houston

Kaustubh Kislay, Wisconsin AI Safety Initiative

Chris Frazier, CSF Technologies Inc.

Gloria Jacobs, Bellevue Literary Press

Jesse Anttila-Hughes, University of San Francisco, Department of Economics

Jan Borda, Cybernetic learning Solutions

Chris Moschovitis, CEO, Technology Management Group

Colin Thompson

Andrew Malviev, Fellow, AI, HUMAIN

Luke Bradshaw, Industrial Designer, Luke Bradshaw Design

Ruth Starkman, Stanford University

Michael S. Dahl, Aalborg University

Alexander Regler, WBS Training SE

Alison Lands, New Collar Skills

Federica Giardini, University of Padua

Amy Keller, North Dakota State College of Science, Wahpeton, ND

Scott Cunningham, Baylor University

Johnny í Grótinum, University of the Faroe Islands

John Zysman, University of California, Berkeley

John Rzasa, Retired

Steve Cochran, Retired

John Sorrentino, Temple University

Florian Goppel, Foundation myclimate

Angelo Manassero, AP

Zain Harper, Project Telos

Mehmet Selman Sezgin, Pttem

Ketal Amin, Purdue West Lafayette

Vinayak Pathak, CORAL

Nicola Marcacci Rossi, smartive

James Brown, FM

Matthew Stebelsky, University of Waterloo

Jeff Vockrodt, Fair Labor Association

David Patterson, UC Berkeley and Google

Pierpaolo Peretti Griva, MIDA SB spa

Jennifer Baunsgard, Retired

Meem Arafat Manab, Universidad Politécnica de Madrid

Brian Farkas, BLET NRL GCA

Laura Coroneo, University of York

Jose Luis Silva, Collab

Mayu Takeuchi, Breakwater Initiative

Adrian Boioglu, Journalist – CityDigital Media Network

James Griffin, Sustainable Business Network

Ralf Kauther, WHU Otto Beisheim School of Management

Sakib Mahmud, Southern Methodist University

Krzysztof Adamczyk, AI enthusiast

Ayush Chopra, Project Iceberg and MIT

Thomas Scheurer, ETH Zurich

Nawas Adam, National Agency For Science And Engineering Infrastructure

Emily Fletcher, Challenge Seattle & Cascadia Innovation Corridor

Seth Dobrin, ARYA Labs

Rob Garlick, University of Surrey

John Hogle, De Anza College Library

Paul Meyrat, City of Zürich

Bram Grooten, TU Eindhoven

Kwanho Shin, Korea University

Gerd Leonhard, Royal Society of the Arts

James Hemsath, University of Alaska Anchorage

Sergio Neiva, Fundação Getúlio Vargar

According to The Work AI Index 2026, published by Glean’s Work AI Institute, 75% of digital workers save roughly 11 hours each week with AI. However, they burn an average of 6.4 hours a week making AI usable, including feeding it missing context, checking its outputs, debugging its mistakes, rerunning prompts, and cleaning up the confident-but-wrong answers AI leaves behind. It means two things: for every hour a worker spends getting useful output from AI, they spend roughly another hour making it usable, and, additionally, that most of a full working day every week. Around 37% of the work is unproductive.

This studio, which seeks to understand the hidden human labor that AI has added to the workday, follows a survey of 6,000 full-time digital workers — employees who do most of their work on a computer or digital tools — across the United States, the United Kingdom, and Australia. The research shows that workers are turning to AI first, sometimes before they turn to their colleagues, their managers, or even their own judgment.

Another interesting finding is that 87% of digital workers now use AI at work, but only 13% say their organization is performing well.

Another phenomenon involves shipping AI-generated work (code and words) that workers haven’t reviewed, don’t fully understand, couldn’t defend if asked, or simply makes mistakes or delivers deficient outputs. Today, 69% of AI users admit to doing so at work, and 41% of workers now ship AI outputs they can’t explain. And when AI-generated work fails, 40% of workers blame AI. Only 29% admit it was their own fault.

The main outcome of the research is that AI has arrived in the workplace, but organizational impact has not. In other words, AI is everywhere, and adoption is near-universal, but the gains are not.

“Organizations must build the human infrastructure (not just the technology infrastructure) that makes AI worth using, or they’ll keep paying the bill.”

The Work AI Index 2026 notes that there are three paradoxes that reinforce each other and result in productivity leaks:

• The productivity paradox. AI makes individuals more productive, but those gains don’t translate to teams or organizations due to what researchers call coordination neglect — our chronic tendency to underestimate the work and effort required to coordinate work across people, teams, tools, and systems..However, at the individual level, the numbers look impressive: 75% of workers say AI makes them more productive and 63% of workers say AI lets them do things they couldn’t do before.
• The judgment paradox. AI makes oversight more important and strips away the cues that once triggered it. AI makes bad work look polished. At first, it’s manageable, and people check it. But as the pile grows, they start to skim it, then wave it through.
• The ownership paradox. The more workers fear AI, the tighter they cling to it. Many workers are trapped between two AI-related threats at once: the risk of being replaced by AI and the risk of appearing obsolete if they do not use it enough. So workers double down. ging the appearance of it:
  33% downplay AI’s help.

In the workforce, developers use it to write code, analysts use it to crunch the numbers, and communications professionals use it to draft the content. However, high AI achievers (in productivity and quality of work) learn from everything — but their biggest edge is treating AI itself as a teacher; and they spend a smaller share of their AI time on their primary core task than low AI achievers do.

That’s the choice in front of every organization. Build the human infrastructure that makes AI worth using. Or keep paying the bill — in botsitting, in botshitting, and in the steady departure of the people who got tired of cleaning up after the bots.

Anant Agarwal, the founder of the edX platform, professor at MIT, and, since 2021, Chief Academic Officer at 2U, was hired as CEO of Grady, a Millburn, New Jersey-based, faculty-founded AI start-up specializing in grading and feedback. Agarwal will remain Founder and Senior Advisor at edX/2U.

“Grady holds every student to the instructor’s standard, and it keeps the instructor in charge. It effectively supercharges faculty and teaching assistants,” said Agarwal. 

Founded by two university professors, Periklis Papakonstantinou of Rutgers University and Anastasios Sidiropoulos of the University of Illinois at Chicago, it is currently backed by Neotribe Ventures.

“Every student deserves precise, fair feedback that helps them grow, whether in a ten-person seminar or a four-hundred-person course, at an Ivy or a community college,” explained Papakonstantinou.

The instructor sets the standard, and Grady applies it across the course, so the same work is judged the same way whether it is the first assessment graded or the 80th. Students get detailed feedback while the material is still fresh, and faculty get back hours otherwise spent grading, along with a clearer view of the concepts a class has not yet grasped.

In conversation with IBL News this week, Anant Agarwal [in the picture] said,

“What drew me to Grady is the problem it takes on. Feedback and grading are incredibly important parts of learning and among the hardest to do well in a constrained educational system. At edX, we tried to build AI grading as far back as 2012, and I know firsthand how difficult it is. When I saw what Periklis and Anastasios had built, I was initially skeptical, so I tried it on my own MIT assignments. I was blown away! It graded handwritten work, schematics, and sketches, providing detailed feedback and requiring no training.”

“I have long believed that AI has the potential to make every teacher a super teacher. Grady is the clearest example of that I have seen. It keeps the instructor fully in control, steering, reviewing, and editing the feedback and grades before they reach students, and it gives faculty their time back for the human parts of teaching that matter most. Used this way, AI amplifies the teacher rather than replacing them.”

“This is an inflection point for education, much like the arrival of online learning was 15 years ago. I am energized to be building again and to help shape how AI strengthens teaching and learning in the years ahead.”

OpenAI may delay its planned 2026 IPO (initial public offering) until next year, according to the New York Times,

The San Francisco-based AI company is weighing whether to go public this year or hold off until 2027, as it aims to reach a $1 trillion valuation, up from the company’s last private valuation of $730 billion.

OpenAI confidentially filed its S-1 paperwork with the SEC on June 8.

Traders on the prediction market platform Kalshi think an OpenAI initial public offering will be announced by March 1, 2027.

Previously, OpenAI was widely expected to go public in 2026, the same year as Anthropic’s.

Also, at the beginning of June, OpenAI’s chief rival Anthropic confidentially filed for an IPO. Traders on Kalshi think there’s a 70% chance that Anthropic will officially announce a public market debut by December.

The New York Times said SpaceX’s public market debut — the first of what was expected to be several mega-cap IPOs this year — has made OpenAI’s advisors more cautious.

OpenAI has worried that Elon Musk’s company’s initial rally and subsequent fall signal that retail investors may have less interest in buying.

But a cascade of recent developments has caused OpenAI’s executives to shift away from their most aggressive aspirations. Top of mind is what has happened to Elon Musk’s SpaceX after its I.P.O. this month. It was the largest ever, raising more than $85 billion and reaching a valuation of

At its debut, SpaceX reached a valuation of $1.77 trillion, but since then the stock has been on a downward slide, with shares slumping to $153 at the end of Thursday’s trading day after reaching a high of $202 last week.

Moreover, investors question now whether AI companies will live up to their sky-high promises.

OpenAI reported roughly $13 billion in revenue in 2025, one of the people said, a number the company hopes to triple this year. OpenAI said this year that it was generating $2 billion in monthly revenue and has more than 2 million business customers.

OpenAI, run by Sam Altman [in the picture above], is currently spending heavily on marketing and recruiting high-profile engineering talent from companies like Meta and Google. It is exploring other revenue streams, including dabbling in placing ads within ChatGPT and striking e-commerce deals with companies like Shopify and Stripe that would allow users to buy things from online stores within ChatGPT.

“Not many jobs will go away; AI’s impact will be on skills, but not on jobs,” said Matt Sigelman, President of The Burning Glass Institute, when delivering his latest labor market data research on how AI is restructuring work. “The changes in the software industry illustrate what’s to come.”

Sigelman was prominently featured in the run-up to the 10th World Bank Group Global Education Conference: “Building Skills for Tomorrow’s Jobs”, which took place in Spain, from June 17–19, 2026.

Over 400 leaders from higher education, industry, technology, and public policy attended three days of panels, fireside chats, and a dedicated AI Day at this conference, organized by The World Bank Group (WBG) and hosted across IE University’s campuses in Madrid and Segovia.

In a parallel event, lifelong educator Paul LeBlanc, former President of SNHU and currently a Visiting Scholar and Special Advisor at the Harvard University Graduate School of Education (HGSE), presented his upcoming book, “Reclaiming Purpose: The University in the AI World,” which will be launched on July 23.

LeBlanc said that “now there is a unique opportunity to get back to the university’s original mission.” He explained, “We are going to have precision learning, a highly precise model against an all-fit model.”

• “Universities are the answer to the world’s problems, as they have the mission to make the world better.”
• “We will move from the knowledge economy to the care economy.”
• “No one is built with the AI speed.”
• “Universities need to structure their data for creating a holistic student profile in this AI age. Now data is seated in silos. First, we need data together.”

The Building Skills for Tomorrow’s Jobs” conference landed on a forceful message: the challenge of the AI era is skills, not jobs. The data show little evidence of mass employment displacement, but dramatic changes in what happens inside jobs.

Drawing on a dataset of 65 million US career histories and billions of job postings, the Burning Glass Institute found that approximately 30% of the skills required for an average job have changed over the past decade. Competencies that once remained relevant for a decade or more can now become obsolete within a few years of graduation.

“Only about 13% of credentials lead to meaningful wage gain,” stated Matt Sigelman, President of The Burning Glass Institute. “We need a nutrition label on credentials, so employers know what skills a worker has and what qualifies them for a particular job.”

Participants interviewed by IBL News agreed that AI handles entry-level tasks well, which creates a temptation for employers to eliminate junior positions. They shared Sigelman’s calling to governments to work with industry to define credential standards tied to real economic outcomes — not enrollment numbers.

Beyond the job market, the conference program touched upon at least seven key themes, according to IBL News’ analysis:

1. AI and Automation — How AI is redefining job roles, skill requirements, and entry points across industries, not just technology.

2. Generative AI in Education — How LLMs and digital platforms are transforming teaching, assessment, and institutional operations.

3. Future Skills — Consensus that creativity, collaboration, adaptability, and digital fluency are now baseline requirements. Technical knowledge alone has a shorter shelf life than ever.

4. Lifelong Learning — The degree-then-career model is dead. Continuous upskilling and reskilling are a necessity, especially for informal workers, care workers, and employees in shrinking sectors.

5. Work-Integrated Education — Real-world job exposure, co-curricular activities, and experiential learning embedded in degree programs, not as optional extras.

6. University–Industry Partnerships — The biggest actionable theme. Multiple panels argued that curricula must be co-designed with employers and updated in near real time, rather than on 5-year review cycles.

7. Job Clustering — Emerging career pathways based on evolving skill requirements, moving beyond traditional job titles to transferable skill profiles.

According to The World Bank, remarkable examples during the conference were:

• Spain: Santander Open Academy now offers hundreds of free AI and cybersecurity courses, reaching millions of learners in a single year — faster than any traditional curriculum process.

• Argentina: World Bank Group is supporting a university–mining company partnership project to create 10,000+ direct jobs and 50,000 indirect jobs by 2033.

• Malaysia: IFC is investing in Asia Pacific University of Technology and Innovation (APU) to scale tech and innovation programs across Southeast Asia.

• Philippines: The government is incorporating Google Career Certificates and AWS certifications into the national qualifications framework, as the BPO industry pivots to cloud and AI.

• Industry certifications: AWS, Microsoft, Google, Cisco, and Salesforce credentials were highlighted as signals of real productivity, often more current than academic degrees.

• IBM: Cited by the Burning Glass Institute as a company that made a concerted effort to remove degree requirements — reinstating them in some cases, but measuring and analyzing where skills-based hiring was working and where it wasn’t.

Among the panelists, leaders from IE University and Camilo Jose Cela University reflected on how economic, technological, and geopolitical forces are simultaneously reshaping education, employability, and entrepreneurship. They highlighted the profound implications of AI and digitalization, particularly at a time when 1.2 billion young people in developing countries are expected to enter the workforce in the next 10–15 years.

Manuel Muñiz, Rector, IE University:
“Periods of profound economic, technological, and geopolitical transformation place extraordinary demands on societies and institutions. The responsibility of universities is not simply to respond to change, but to help people understand it, navigate it, and ultimately shape it.”

Juan José Güemes Barrios, VP of Strategy and President of the Center for Entrepreneurship & Innovation, IE University:
“AI is not replacing human talent; it is redefining its value. As machines take over routine tasks, uniquely human capabilities — judgment, creativity, and an entrepreneurial mindset — become the real competitive advantage. Our responsibility, as educational institutions, is to prepare people not for the jobs that exist today, but for the opportunities we are not yet able to imagine.”

Nieves Segovia, President, SEK Education Group:
“Universities must evolve from teaching-centered institutions into connection nodes within broader ecosystems of learning, innovation, and social development — bridging the academic world, the business sector, social organizations, media, and public administrations.” “Beyond transmitting knowledge, higher education institutions are called to facilitate connections, build trust, and contribute to collective responses to the great challenges of our time.”

No formal signed commitments emerged or were published, but participants implied consensus on the idea that
universities are becoming platforms, not just campuses. The conversation pointed toward institutions acting as ecosystem orchestrators — connecting academic, corporate, governmental, and civil society actors.

]]>