Together, We Can Make 2026 a Turning Point for AI

Summary

In this episode, Daniel Barcay hosts Ethan Mollick and Molly Kinder to dissect AI's real‑time impact on the labor market, separating hype from data‑driven realities. They highlight emerging risks—such as job displacement and erosion of human connection—while emphasizing that policy choices, accountable design, and public awareness can steer AI toward strengthening work rather than hollowing it out. Mollick brings a co‑intelligence perspective on collaborative problem‑solving, and Kinder offers empirical insights from Yale Budget Lab research on AI‑driven labor trends. The conversation equips listeners with actionable understanding and a sense of agency to shape a humane AI future.