Tech’s most successful founders aren’t retiring—they’re rolling up their sleeves for AI. From Instagram’s co-founder to Monzo’s pioneer, industry veterans are trading boardroom seats for hands-on roles at AI labs like Anthropic, chasing what they call the “defining moment” of artificial intelligence.
Why AI is pulling founders back into the trenches
Tom Blomfield, who built GoCardless and Monzo before mentoring startups at Y Combinator, announced this week he’s taking a leave to join Anthropic’s compute team—not as an executive, but as a member of technical staff. His reasoning mirrors that of others: the next few years in large language models (LLMs) will shape the future, and sitting on the sidelines isn’t an option.
He’s far from alone. Instagram co-founder Mike Krieger became Anthropic’s Chief Product Officer in 2024. Andrej Karpathy, an OpenAI founding member and Tesla’s former AI lead, joined Anthropic’s pre-training team in May, calling the next phase of LLMs “especially formative.” Even Workday’s ex-CTO Peter Bailis left an $8 billion business after months in the role to take the same flat, non-hierarchical title at Anthropic.
Some are building their own AI bets instead
Not everyone’s joining existing labs. Chamath Palihapitiya, the “SPAC King” and former Facebook exec, just took his first full-time operating role in over a decade as CEO of 8090 Labs, his enterprise AI coding startup. Backed by a $135 million Series A from Salesforce Ventures, he called the project “even more important” than his past work, leaving no room for hesitation.
Eric Wu, who led Opendoor for a decade, launched NavigateAI—a $25 million-seed-funded AI “copilot” for construction workers—after stepping back in 2023. His motivation? “I knew if I looked back in 10 years and didn’t do something related to [AI], I would probably regret that.”
The title says it all: no egos, just code
The most telling detail might be the job title itself. Member of technical staff is the deliberately humble label Anthropic and OpenAI use for nearly all technical hires, regardless of seniority. It’s a signal: in AI’s early innings, even the most accomplished are starting from scratch.
