KEY LEARNINGS
- AI automation targets cognitive tasks like writing and analysis, unlike previous industrial shifts that focused primarily on physical labor.
- Research suggests roughly 80% of the U.S. workforce could see at least 10% of their daily tasks affected by large language models.
- High-wage knowledge roles in legal and financial sectors face higher exposure to AI disruption than many manual trade professions.
- The choice between using AI for augmentation (helping humans) versus replacement (firing humans) is a strategic leadership decision.
- Managing this transition requires proactive policy interventions, such as reskilling investments and potentially universal basic income experiments.
- 📄OpenAI Research: GPTs are GPTsResearch on AI impact on labor markets.
- 📰McKinsey: Generative AI and the Future of WorkMcKinsey analysis of workforce transformation.
- 📄World Economic Forum: Future of Jobs Report 2023Global workforce trend analysis.
- Eloundou, T., et al. (2023). GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models. arXiv.
- Acemoglu, D., & Restrepo, P. (2020). Robots and Jobs: Evidence from US Labor Markets. Journal of Political Economy.
- Autor, D.H. (2015). Why Are There Still So Many Jobs? The History and Future of Workplace Automation. Journal of Economic Perspectives.
