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AI lab exodus to fuel SF startup boom: Deedy Das
Das predicted a flood of capital and talent to reshape San Francisco’s AI startup ecosystem.
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Malvika Choudhary - Wed, 12, Aug 2026
- 12:27 EDT
- 19
Deedy Das / Menlo Ventures
Entrepreneur and investor Deedy Das predicted that a wave of employees leaving major artificial intelligence labs will fuel a surge of new startups and venture capital in San Francisco over the next few years.
“The next few years in SF will be incredible,” Das wrote on X, arguing that employees who initially plan to leave the industry with their wealth will eventually return to entrepreneurship and launch companies of their own.
Also Read: Deedy Das on what causes career stagnation
The next few years in SF will be incredible.
— Deedy (@deedydas) August 12, 2026
Many big lab employees will leave . The idea of sailing into the sunset is temporal and will quickly subside. Inevitably, they will start their own companies and absorb a tremendous amount of venture capital. This will lead to an…
“Inevitably, they will start their own companies and absorb a tremendous amount of venture capital,” he said.
Das, whose investments include Anthropic, OpenRouter, Modal, Wispr, Pangram, Inception, Goodfire and PrimeIntellect, said the influx of former AI lab employees into startups would drive innovation but also create intense competition.
He said many founders would build in areas where they already have expertise, including AI for quantitative trading, drug discovery, materials discovery, robotics, new AI architectures and hardware.
“We see this already,” Das wrote. “Competition in such disciplines will be severe.”
Das said the current funding environment could allow founders to pursue businesses that previously would not have attracted venture capital.
“Never in history could you raise this quantum ($100M+) of risk capital out of the gate,” he wrote.
He said the funding could allow startups to pursue “moonshot ideas” that previously required the resources of major technology companies. Das predicted that the number of startups dubbed “neolabs” could eventually grow from about 100 to 1,000.
The broader AI funding boom has also pushed valuations and fundraising rounds to unprecedented levels. Anthropic, one of Das’ portfolio companies, has raised tens of billions of dollars from investors as it expands its AI models, computing capacity and research operations.
Das said the new wave of startups would also compete aggressively for talent.
“They will all pay top dollar to attract talent,” he wrote, adding that companies would seek to recruit researchers from academia and established AI labs.
But Das warned that access to large amounts of capital could also create challenges for founders. Some, he said, could lose their drive after becoming wealthy, while successful startups could eventually acquire companies founded by former colleagues who fail to maintain momentum.
“Many will not find the hunger to succeed and get lazy from their riches,” Das wrote. “The more successful ones will acquire them if they are colleagues they liked.”
Das nevertheless expects some of the new companies to achieve outsized success.
“The amazing ones will succeed immeasurably,” he wrote, adding that their success could “beckon a new renaissance we won’t be able to fathom from where we are now.”
Das’ comments come as senior figures at leading AI companies are already leaving to pursue new ventures. OpenAI executive Brad Lightcap announced Aug. 11 that he was leaving the company after eight years to “start something new.” Lightcap, who previously served as the company’s chief operating officer, most recently led its special projects division.
The movement of talent from major AI labs into startups is already producing companies backed by substantial amounts of capital.
Thinking Machines Lab, founded by former OpenAI Chief Technology Officer Mira Murati, raised $2 billion in a 2025 seed round, while Periodic Labs, founded by former OpenAI research vice president Liam Fedus and former Google Brain and DeepMind researcher Ekin Dogus Cubuk, raised $300 million to develop AI systems for scientific discovery.
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