Anthropic’s head of economics answers our questions about AI and the job market

In this episode of Marketplace All-in-One, host Kimberly Adams speaks with Peter McCrory, Head of Economics at Anthropic, about the real-world impact of AI on the labor market. McCrory shares findings from Anthropic’s latest research, which shows no significant rise in unemployment among workers most exposed to AI tools like Claude—yet, he cautions that the long-term effects remain uncertain. Drawing parallels to historical shifts like the internet and globalization, he argues AI is more likely to transform jobs gradually rather than cause sudden mass layoffs like during the pandemic. The discussion highlights that AI exposure is highest in roles involving repetitive, implementation-heavy tasks—such as technical writing and data entry—while workers who use AI as a collaborative partner (augmentation) face lower displacement risk. McCrory also notes that adoption is currently concentrated in high-income countries, raising concerns about global inequality, though the widespread availability of smartphones offers a potential pathway for faster adoption in developing nations. A key concern is the impact on young workers, whose hiring rates in AI-exposed roles appear 16 percentage points lower than pre-pandemic levels, possibly due to automation reducing entry-level opportunities. The conversation ends on a note of shared responsibility: governments, companies, and individuals must collectively shape AI’s societal impact through policy, reskilling, and inclusive dialogue. Key takeaways include: 1) AI is reshaping the labor market through job transformation, not mass displacement—so far; 2) Young workers may face reduced hiring opportunities in AI-exposed roles, signaling a need for proactive workforce development; 3) The global spread of AI access is uneven but could accelerate in developing nations due to smartphone ubiquity; 4) Companies and policymakers must collaborate to manage transition costs and ensure equitable benefits; 5) Workers should view AI as a tool for augmentation, not replacement, especially when paired with strong judgment and direction-setting skills. The episode concludes with a call for inclusive, data-driven conversations about AI’s future.