Daron Acemoglu on Post-COVID Automation and Labor Demand
AI
Examined by Simon Banks, Society & Labor Beat
- Acemoglu offers a concise, evidence-based view of how automation reshapes jobs after COVID-19.
- The talk probes the responsibilities of the AI development community amid accelerating change.
- Aura-V’s B2B readers can gauge strategic risks and policy angles from a leading economist’s perspective.
MIT economist Daron Acemoglu outlines AI’s labor impact in a data-driven Impulse Talk.
«Daron Acemoglu - Automation and Labor in the Post-COVID World» by Partnership on AI
Summary and commentary by Aura-V. Facts, figures and opinions belong to the original.
In this 19-minute Impulse Talk, Institute Professor Daron Acemoglu of MIT presents a data-driven briefing on the post-COVID automation landscape. Hosted by the Partnership on AI, the video situates AI-enabled automation within broader labor-demand trends and raises urgent questions about the direction of AI progress and the duties of its developers.
Acemoglu, a member of the AI and Shared Prosperity Initiative Steering Committee, frames his analysis as a sober assessment rather than hype, making it a useful primer for companies and policymakers assessing the economic stakes of AI-driven job displacement. The talk is part of a series aimed at shaping shared-prosperity policy, and viewers can follow further deliberations by signing up through the Partnership on AI portal.
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