Benchmark partners explain why they are keeping a slower pace in a frenzied venture market

TechCrunch reports that Benchmark has changed in visible ways: partner turnover, a larger core fund, and a new growth fund. The firm announced $2 billion across two funds this summer, including a $1.25 billion growth fund, while Peter Fenton framed the core strategy as working closely with founders from the beginning over a long horizon. The key takeaway for founders is that Benchmark is presenting scale as an expansion of mandate, not a shift toward high-volume dealmaking.

At TechCrunch Disrupt, Benchmark’s partners said they are not trying to match the speed or frequency of rivals in a hot market. The firm’s pace was described as two or three new bets per year per partner, with informal Monday meetings that have no set agenda. For startups, that suggests Benchmark wants deep conviction and close fit before committing, rather than a process built around rapid sorting or broad coverage.

The partners discussed how fast-moving AI companies can expand into one another’s territory, creating more potential conflicts for venture firms. Eric Vishria said the commitment to an entrepreneur and confidentiality remains important, while Chethan Puttagunta noted that ambitious AI founders may run into each other more as building new products becomes easier. The practical takeaway: founders should ask investors early how they handle conflicts, exclusivity, and competing portfolio companies.

Benchmark’s partners stopped short of saying every founder must be in San Francisco, but Jack Altman called it the easiest place right now to find talent, capital, and customers. Fenton said historical capital returns have been heavily tied to companies founded there, while Ev Randall described founders outside the city as often spending time in San Francisco, opening offices there, or planning to move. For founders evaluating location, the article’s implication is clear: Benchmark sees proximity to the San Francisco ecosystem as a meaningful advantage, especially in the current AI era.