In this episode, Gary and Scott unpack one of the most critical questions for business leaders today: Is AI actually disrupting the labor market—or are we still waiting for impact to show up in the data?
They dive deep into Yale University’s Budget Lab study, “Evaluating the Impact of AI on the Labor Market: Current State of Affairs” (October 2025), which concludes that there has been no discernible economy-wide labor disruption since the launch of ChatGPT in late 2022. Using decades of labor data, the Yale team found that the pace of occupational change today looks remarkably similar to earlier waves of innovation like the PC and Internet eras.
But Gary and Scott don’t stop there. They explore contradictory findings from other top institutions:
- Stanford’s Digital Economy Lab (Aug 2025): Early-career workers in AI-exposed jobs have seen employment drop by roughly 13%, signaling localized disruption.
- IMF (2024): Up to 40% of jobs globally are exposed to AI, especially in advanced economies.
- OECD & WEF (2024–25): AI is already reshaping skills demand, with executives expecting major restructuring by 2030.
Throughout the episode, Gary and Scott translate these insights into an executive playbook for 2025:
✅ Build an internal AI exposure map by task.
✅ Track real adoption and productivity telemetry.
✅ Reinvent early-career roles through apprenticeships.
✅ Reinvest AI gains into upskilling and responsible adoption.
The takeaway?
No broad labor shock yet—but localized tremors are real.
The smartest leaders are already using data to navigate the gray zone between augmentation and automation.
Referenced Research:
- Yale Budget Lab (2025): Evaluating the Impact of AI on the Labor Market: Current State of Affairs
- Stanford Digital Economy Lab (2025): AI Exposure and Early-Career Employment Effects (working paper)
- IMF (2024): Generative AI and the Future of Work
- OECD Employment Outlook (2024): AI, Skills, and the Changing Labor Market
- World Economic Forum (2025): Future of Jobs Report
Takeaway:
AI is transforming how we work, not yet how many of us work. Stay adaptive, build visibility into your workforce data, and lead with metrics—not headlines.
Send a Text to the AI Guides on the show!
About your AI Guides
Gary Sloper
https://www.linkedin.com/in/gsloper/
Scott Bryan
https://www.linkedin.com/in/scottjbryan/
Macro AI Website:
https://www.macroaipodcast.com/
Macro AI LinkedIn Page:
https://www.linkedin.com/company/macro-ai-podcast/
Gary's Free AI Readiness Assessment:
https://macronetservices.com/events/the-comprehensive-guide-to-ai-readiness
Scott's Content & Blog
https://www.macronomics.ai/blog
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