OpenAI Chip Engineer Clive Chan Leaves to Join Anthropic for New Hardware Journey
Clive Chan has decided to leave OpenAI after working for 2.4 years, where he was the second hardware engineer involved in the custom chip project, witnessing the team's evolution from its early stages to a gathering of high-density hardware talent.
He highly recognizes the strength of the OpenAI chip team, believing it will become an important engine for AGI, but personally desires to climb new heights from scratch, and has officially joined Anthropic this week.
In market dynamics, AI labs are competing for top hardware talent, driving engineers to shift from mature projects to high-potential new teams; under this event-driven scenario, funding and manpower are flowing out of the OpenAI chip program, benefiting labs like Anthropic that gain fresh execution power, while existing platforms face pressure to retain talent.
Source: Public Information
ABAB AI Insight
Clive Chan has grown from an early hardware member at OpenAI to a core participant in the chip project, experiencing the intensive iteration from concept to engineering implementation of custom chips. Previously, OpenAI had built hardware advantages by attracting similar talent, creating a talent flow cycle with competitors like Anthropic.
In terms of capital pathways, resources from AI giants are concentrating on chip and infrastructure teams, with engineers like Clive transferring their personal experience and knowledge to new platforms through job changes, motivated by the pursuit of higher execution intensity and the sense of achievement from building from scratch, while also driving up the salaries and valuations of hardware talent across the industry.
Similar to the past talent flow of semiconductor professionals among companies like Nvidia and Google, the current AI hardware field is transitioning from being dominated by a single lab to intense competition among multiple giants.
Essentially, this is about capital concentration, where top hardware talent flows between labs, aggregating scarce execution power towards the most ambitious and value-aligned projects, accelerating AGI chip iteration and reshaping the competitive landscape of AI infrastructure.
ABAB News · Cognitive Law
Mature teams may seem like stable high ground, but the call of new peaks is the true motivation for top talent to continue climbing. Selling existing achievements fuels passion, while selling the opportunity to rebuild from scratch drives execution power; the top sell is hardware ambition driven by values. Companies do not lack chips; they lack engineers willing to take another gamble; the winners reshape the pricing power of the AGI race through talent mobility.