Why Silicon Valley's 'Already Made It' crowd is taking junior titles at AI labs

Key points

• Tom Blomfield, co-founder of the UK banking app Monzo, announced Monday he is joining Anthropic's compute team as a member of technical staff, not as an executive.
• Andrej Karpathy, a founding member of OpenAI, joined Anthropic's pre-training team in May 2026, describing the next few years at AI labs as "especially formative."
• Peter Bailis left his role as Chief Technology Officer at Workday, a business-software company with $8 billion in annual revenue, for a staff-level technical post at Anthropic in March 2025.
• Chamath Palihapitiya took his first full-time operating job in over a decade as CEO of 8090 Labs, an AI coding startup, after raising $135 million in April 2025.
• Eric Wu, who ran home-buying platform Opendoor for a decade, launched NavigateAI, an AI assistant for construction workers, with $25 million in seed funding in 2025.

People who already have the money and the freedom to do nothing are choosing to start over, often in roles far below what their track record would command.

Tom Blomfield is the latest. He co-founded GoCardless and then Monzo, one of Britain's most recognised digital banks, before spending four and a half years at Y Combinator as a Group Partner, mentoring founders. On Monday he announced a leave of absence to join Anthropic, the AI safety company behind the Claude family of AI assistants, on its compute team. His title: member of technical staff.

That title matters. At Anthropic and OpenAI, "member of technical staff" is a deliberately flat label covering nearly everyone on the technical side, whatever their experience. There are no vice presidents or directors hidden inside it. Blomfield, who could walk into a senior leadership role almost anywhere, chose the same title a recent computer-science graduate might hold.

He's not alone.

Andrej Karpathy, one of OpenAI's original founders and later head of AI at Tesla, joined Anthropic's pre-training team in May. Pre-training is the foundational stage where a model learns from vast amounts of text before it's ever released to the public. Karpathy wrote that "the next few years at the frontier of LLMs" (large language models, the technology powering modern AI assistants) "will be especially formative."

Peter Bailis made perhaps the sharpest trade. As CTO at Workday, he oversaw AI strategy across a business reporting $8 billion in annual revenue. He lasted less than a year before taking a staff-level post at Anthropic this March.

Our earlier story on Anthropic's internal research into Claude's reasoning helps explain part of the pull: the company is doing genuinely novel technical work, and people close to the field know it.

Not everyone is joining an existing lab. Chamath Palihapitiya, known for early work at Facebook and a long run as an investor, stepped into a full-time operating role for the first time in over a decade as CEO of 8090 Labs, his own enterprise AI coding startup, which raised $135 million in a round led by Salesforce Ventures. Eric Wu, who led Opendoor before stepping back in 2023, launched NavigateAI, an AI copilot (a software assistant that works alongside a person rather than replacing them) built for construction workers, with $25 million in seed funding. Wu told TechCrunch AI he feared he would "probably regret" not acting.

What does this mean for everyone else?

It means the people who know this industry best are betting their time, not just their money, that AI's early days aren't over. That's a harder signal to dismiss than a press release.

For ordinary workers, the practical point is this: the tools these founders are building, from coding assistants to construction-site helpers, are aimed at everyday professional tasks. Expect more focused, job-specific AI products in the next two to three years, backed by founders who've shipped real things before. Whether that wave delivers on its promise is the question worth watching.