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

A number of already-wealthy technology veterans are stepping back into the daily grind of building products, even though they have little financial need to do so. The trend suggests two forces at work: a fear of sitting out what many in the industry consider a defining moment for artificial intelligence, and the pull of potentially even larger financial rewards if that bet pays off.

The latest example emerged this week when Tom Blomfield, best known for co-founding the payments company GoCardless and the digital bank Monzo, revealed he is stepping away from his current role to join Anthropic's compute organization. Notably, he is not entering in a leadership capacity but as an individual contributor on the technical staff.

Blomfield's move is a departure from the path he has followed in recent years. After building two prominent fintech companies, he spent roughly four and a half years as a Group Partner at startup accelerator Y Combinator, where his job centered on coaching early-stage founders rather than running a company himself. His shift to Anthropic marks a return to hands-on, technical work after a long stretch focused on mentorship.

What stands out is the seniority he is apparently willing to set aside. Rather than negotiating an executive title befitting his track record, Blomfield is reportedly taking a leave of absence from his advisory duties to work in a rank-and-file engineering capacity, betting that proximity to frontier AI development matters more than status.

He is far from the only high-profile figure making that trade-off. Mike Krieger, who helped build and later sold Instagram, joined Anthropic in 2024 as its Chief Product Officer, bringing consumer-product experience to a company previously known mainly for research. His hire showed early on that Anthropic was actively courting proven operators, not just AI researchers, to shape how its models reach the public.

Another notable arrival is Andrej Karpathy, a founding member of OpenAI who later ran Tesla's AI efforts before launching his own education-focused startup, Eureka Labs. In May, Karpathy joined Anthropic's pre-training team, and he described his reasoning in terms strikingly similar to Blomfield's: the coming years at the cutting edge of large language model development, he said, would prove "especially formative."

Taken together, these moves point to an intensifying scramble for experienced talent among leading AI labs, where even people who have already achieved wealth and professional standing are choosing to trade authority for access to frontier work. Skeptics might note that such moves also reflect the industry's current hype cycle, and it remains to be seen whether this appetite for hands-on AI work persists if progress in the field slows or expectations cool. For now, though, the pattern suggests that some of tech's most accomplished names view this period as too consequential to watch from the sidelines.

Source: TechCrunch