Ethan Mollick, Wharton professor and author of 'Coexistence: The Next Phase of AI', has a direct argument: AI's productivity gains are real but invisible in the data because companies are running new technology on old organizational structures.
The core problem is not the models. Businesses are bolting AI onto legacy workflows instead of redesigning how they operate from the ground up. Mollick and host Alex Kantrowitz get specific about which sectors are already seeing returns and what structural changes separate those winners from the rest.
The conversation also takes on whether AI development will hit a wall. That question alone is worth the full listen, because Mollick's answer is more nuanced than the usual scaling-law debates. If you work in a company making AI adoption decisions, this episode is a direct challenge to your current approach.
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