Generative AI Will Impact Labor Market and Have Notable Economic, Social, and Policy Implications

IBL News | New York

Generative AI or GTP (Generative Pre-trained Transformer) models will have notable economic, social, and policy implications.

They will impact 80% of the U.S. workforce, with at least 10% of their work task affected. Around 19% of workers will see at least 50% of their task impacted.

This is the main conclusion of a research paper posted online authored by four researchers at Cornell University — Tyna Eloundou, Sam Manning, Pamela Mishkin, and Daniel Rock.

According to the research, the influence spans all wage levels, with higher-income jobs potentially facing greater exposure.

Language Models (LLMs) — via ChatGPT or the OpenAI Playground — can process and produce various forms of sequential data, including assembly language, protein sequences, and chess games, extending beyond natural language applications alone.

Creative Commons License
This work is licensed under a Creative Commons.
IBL News is a nonprofit initiative.
This initiative is part of IBL Education.

New! IBL Education Partnered with