AI Is Making Money. Now Comes the Hard Part

AI finally has real revenue. Now it has real problems.


Jeff Keltner and Annie Delgado unpack the growing gap between AI hype and AI economics, starting with Davos, where industry leaders could not agree on whether AI will erase jobs or create new ones. They break down OpenAI’s eye-popping $20 billion run-rate, why ads are coming to ChatGPT, and why the expense side of the ledger may matter more than the revenue headlines.

The episode dives into Anthropic’s new economic index, revealing who is actually benefiting from AI and why gains are concentrating among wealthier countries and more educated workers. They discuss the emerging entry-level hiring cliff, what it means for workforce planning, and why managing AI agents may become a core skill earlier in careers than ever before. Quick hits include a $4.8 billion seed round for a company with no product, Anthropic’s controversial 23,000-word Claude Constitution, Google making SAT prep free inside Gemini, and a rare good-news moment for AI in education and health care as both OpenAI and Anthropic roll out healthcare-focused tools.

This episode explains where AI’s economic reality is colliding with its technological promise — and what leaders, parents, and builders should be paying attention to next.