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Despite their pedigree from OpenAI, Anthropic's founders faced significant VC skepticism in late 2020. Investors called AGI a "pipe dream," highlighting how nascent the AI investment thesis was just years before the boom, forcing the team to scrape together an angel round.
Anthropic's team of idealistic researchers represented a high-variance bet for investors. The same qualities that could have caused failure—a non-traditional, research-first approach—are precisely what enabled breakout innovations like Claude Code, which a conventional product team would never have conceived.
DeepMind's founders knew their ambitious AGI mission wouldn't appeal to mainstream VCs. They specifically targeted Peter Thiel, believing they needed "someone crazy enough to fund an AGI company" who valued ambitious, contrarian ideas over a clear business plan, demonstrating the importance of strategic investor-founder fit.
AI companies like Anthropic are reaching massive valuations in a fraction of the time it took prior tech giants. This hyper-acceleration, fueled by enormous funding rounds and rapid enterprise adoption, isn't just fast growth—it's a new paradigm that compresses decades of traditional capital formation into a few years.
Jensen Huang admits his "mistake" was not realizing that AI labs like Anthropic couldn't raise the necessary billions from VCs and instead needed strategic investment directly from their compute providers. This insight came too late, pushing Anthropic to Google and AWS initially.
Dario Amodei founded Anthropic not just over a different technical vision, but from a core belief that OpenAI, despite its language, lacked a "real and serious conviction" to manage the enormous economic and safety implications of general AI.
The massive, rapid success of AI companies like Anthropic is psychologically resetting venture capital standards. Some VCs now only pursue investments that can become a billion-dollar position in their fund, making it harder for less ambitious startups to get meetings.
The venture capital landscape is experiencing extreme concentration, with a handful of AI labs like OpenAI and Anthropic raising sums that rival half of the entire annual VC deployment. This capital sink into a few mega-private companies is a new phenomenon, unlike previous tech booms.
Thinking Machines Lab, founded by ex-OpenAI leaders, raised $2B pre-product. Its current struggles, including executive departures and inability to raise more funds, suggest investors are shifting focus from founder hype ('vibe founding') to concrete products and business strategies.
OpenAI competitor Anthropic is seeing massive investor demand for its next funding round, partly because its recent deal with SpaceX is viewed as having "dramatically de-risked" the investment. Some investors believe this partnership has resolved Anthropic's most significant bottleneck by securing its access to compute power.
The narrative of AI's world-changing power and existential risk may be fueled by CEOs' vested interest in securing enormous investments. By framing the technology as revolutionary and dangerous, it justifies higher valuations and larger funding rounds, as Scott Galloway suggests for companies like Anthropic.