A recent Quinnipiac poll found that 70% of Americans believe artificial intelligence will reduce job opportunities, up from 56% a year ago. Warnings from AI leaders fuel this fear: Dario Amodei of Anthropic predicts half of entry-level white-collar jobs could vanish within five years, while Mustafa Suleyman of Microsoft AI claims most white-collar work will be automated within 12 to 18 months. OpenAI has even proposed a 32-hour workweek to manage the transition.
But the macroeconomic data tells a different story. The unemployment rate in March 2026 was 4.3%, nearly identical to March 2020's 4.4%. Average hourly earnings remain stable, and demand for software engineers is booming despite impressive AI coding tools. Economists like Alex Imas of the University of Chicago urge caution: "The answer to any question about the future economics of advanced AI begins with identifying what becomes scarce." Rather than assuming mass unemployment, we should consider that AI may complement human labor rather than replace it entirely. The tech companies citing AI for layoffs may simply be adjusting after pandemic-era overhiring, using AI as a convenient explanation for investors.