Behavioral Economics & AI: My Perspective
Having transitioned from academia to tech, I’ve seen how behavioral economics helps us understand human-AI interactions. This intersection shapes how we design AI systems, which is why I focus on behavioral science and AI in my work. Your Thoughts?

3. The Cognitive Revolution in Economics
Behavioral economists draw on neuroscience and psychology, but are they truly integrating these fields—or just selecting findings to fit existing models?
Future work should take cognitive processes seriously, not force psychology into economic frameworks.

2. Machine Learning
Advances in machine learning and AI help researchers identify which behavioral interventions work best.
Mega-studies—large-scale field experiments testing multiple interventions—are reshaping behavioral science by identifying scalable interventions beyond lab experiments.

Behavioral Economics 3.0: The next phase will integrate insights from neuroscience, psychology, and cognitive science into economic models. Expect deeper exploration into attention, memory, and motivation as fundamental drivers of decision-making.

1. From Anomalies to Integration
Behavioral Economics 1.0: Focused on identifying "anomalies" that challenged classical economic models.
Behavioral Economics 2.0: Developed frameworks like prospect theory, hyperbolic discounting, and social preferences to unify these anomalies.

At a panel discussion celebrating @cfcamerer.bsky.social ’s achievements, Tom Palfrey, @katymilkman.bsky.social , @rthaler.bsky.social ky.social, and Ernst Fehr shared their perspectives on the future of the field.

Thank you! It was a pleasure talking with you as well. Looking forward to catching up again soon!

Attended a celebration at Caltech for @cfcamerer.bsky.social ’s birthday and his incredible achievements. People from all over the world came together—proof that Colin isn’t just an economics legend, but an exceptional human being. Grateful to have been his postdoc and mentee! 🎉