Why tech winners are leaving boardrooms for AI’s front lines

A growing number of already-successful tech founders and operators are leaving comfortable, high-status roles to go back to the grind in AI—often at frontier labs like Anthropic, or by launching their own AI startups. Tom Blomfield, co-founder of Monzo and GoCardless, announced he is taking a leave of absence from Y Combinator to join Anthropic‘s compute team as a member of technical staff, not as an executive. Instagram co-founder Mike Krieger joined Anthropic as Chief Product Officer in 2024, and Andrej Karpathy, a founding member of OpenAI who later led AI at Tesla, joined Anthropic‘s pre-training team in May, writing that “the next few years at the frontier of LLMs will be especially formative.” Chamath Palihapitiya, known as the “SPAC King,” just took his first full-time operating role in over a decade as CEO of 8090 Labs, his enterprise AI coding startup, alongside a $135 million Series A led by Salesforce Ventures. Eric Wu, former Opendoor CEO, launched NavigateAI, an AI copilot for construction workers, with $25 million in seed funding. The common thread is a fear of missing AI’s defining moment—and the rare chance to build something that feels even more consequential than what they already built.

The concrete signal is the job title itself. “Member of technical staff” is the deliberately flat, non-hierarchical label that Anthropic and OpenAI use for nearly everyone on their technical teams, regardless of seniority. It’s the same title Blomfield is taking, and it’s also the title Peter Bailis took this March—just months after becoming Workday’s CTO. Bailis lasted less than a year before trading it for a spot at Anthropic. Palihapitiya wrote on X, “I am convinced that what we are building now is even more important, so there was no decision to make except to be all in.” Eric Wu told the author directly, “I knew if I looked back in 10 years and didn’t do something related to it, I would probably regret that.” These are not incremental career moves. They are people who already reached the highest rungs of conventional success choosing to start over from scratch, because they believe the AI wave is still in its very early innings and the upside—both in impact and wealth—dwarfs anything they’ve done before.

For a serious builder or technical reader, the takeaway is that the most informed bets on AI’s trajectory are being made with career capital, not just venture capital. When people who have already won the startup game give up board seats and C-suite titles to become individual contributors at labs like Anthropic, they are signaling something specific: they believe the next few years will define the architecture of the industry, and that the technical work at the frontier matters more than any management role they could hold elsewhere. It also underscores how deliberately flat organizations like Anthropic have become magnets for talent that could easily run their own companies. If you are deciding where to place your own bets, watch where the people who don’t need the job title are willing to take the most junior-sounding one.

Already rich, already successful, why the last wave of tech winners is grinding again | TechCrunch

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