Daron Acemoglu
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- Goldman Sachs29 min
How Will AI Impact the Labor Market?
Daron Acemoglu, Neil Thompson, Joseph Briggs, Allison Nathan
Experts from Goldman Sachs and MIT project that while AI will displace tens of millions of U.S. workers over the next decade through significant labor reallocation, the unemployment rate is expected to rise by less than one percentage point annually as new job creation offsets automation. The consensus indicates a gradual transition driven by integration barriers rather than sudden mass layoffs, though disagreement persists regarding short-term net employment impacts depending on whether firms prioritize replacing or complementing human labor. Recorded in June 2026, these forecasts highlight that the trajectory of inequality and total job levels will ultimately depend on whether AI development focuses on automating routine cognitive tasks or augmenting high-value human expertise.
- Goldman Sachs28 min
A skeptical look at AI investment
Daron Acemoglu, Jim Covello, Alison Nathan
While Goldman Sachs projects generative AI could boost U.S. GDP by 6.1% over a decade, MIT's Darren Acemoglu and Goldman's Jim Covello warn that high infrastructure costs and technical limitations may restrict automation to less than 5% of tasks. Driven by fear of missing out in a competitive "arms race," major technology firms are currently pouring capital into GPU-heavy infrastructure despite the absence of a cost-effective "killer application," sparking concerns that the sector mirrors the overbuild of the 2000 internet bubble. Analysts emphasize that the next 12 to 18 months serve as a critical inflection point where the emergence of tangible business use cases will determine whether this trillion-dollar investment cycle results in sustained productivity gains or a sharp correction in valuations.