Karen Hao, the bestselling author of "Empire of AI," has watched OpenAI go from a nonprofit “laughingstock” into a $90 billion powerhouse chasing artificial general intelligence at breakneck speeds. Hao, who first profiled the company back in 2020, says early visions of building AI “for humanity’s benefit” were quickly overtaken by a familiar Silicon Valley mindset: Move fast, break things, and let scale be the measure of success.

This week, Hao joined TechCrunch’s Equity podcast to unpack the direction the AI boom is going and who’s paying the price. Hao argues that, like historical empires, today’s AI giants rely on resource-hoarding and exploitative labor to amass political and economic power, and they’re doing so at the expense of the environment. For investors and founders, it’s a clear signal that AI’s current path carries real risks, and that there’s room to build a better model.

Listen to the full episode to hear:

How OpenAI's three internal "clans" warred to shape the company's trajectory
The hidden human costs of data labeling in developing countries
How the "China competition" narrative serves Silicon Valley's interests
Where founders might find different opportunities beyond the pursuit of AGI

Equity will be back Friday with our weekly news roundup, so stay tuned.

Equity is TechCrunch’s flagship podcast, produced by Theresa Loconsolo, and posts every Wednesday and Friday.

Subscribe to us on Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod.

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