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Benchmark, a historically early-stage firm, didn't cautiously enter growth investing. They went "all in" from day one with a massive, pre-revenue check into AI company Instinct, showing a decisive shift in strategy rather than a gradual one.

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AI companies defy old categories. They raise growth-stage capital while pre-revenue (like venture) and serve as both foundational platforms (infrastructure) and direct-to-user products (apps). This blurring of lines demands a new, hybrid approach from investors and founders.

Benchmark's successful AI investments (e.g., Sierra, Langchain) weren't the result of a top-down thematic strategy. Instead, their founder-centric approach led them to back exceptional individuals, which organically resulted in a diverse portfolio across the AI stack before it was obvious.

Benchmark, a firm renowned for its decades-long focus on pure early-stage venture capital, has raised $2 billion, including its first dedicated growth fund. This marks a significant evolution for one of the industry's most disciplined firms.

The current wave of $10B+ AI acquisitions by tech giants fundamentally alters venture capital math. A $1B seed valuation, once unthinkable, is now justifiable because the existence of numerous large exit comparables means the standard 10x return model remains achievable for VCs.

Benchmark's diverse AI portfolio (data centers, agents, dev tools) is not the result of a top-down, thematic strategy. Their "entrepreneur out" model focuses on backing exceptional founders first, which often leads them to invest in nascent categories before they become widely recognized.

Historically, a $10B-$50B outcome was a venture capital dream. AI has created a plausible path to trillion-dollar companies in under a decade. This massive increase in potential returns makes it rational for VCs to invest at much higher valuations than ever before.

In AI, companies can reach massive valuations quickly and still offer venture-like returns (e.g., 10x+). This makes traditional stage definitions (early, growth) irrelevant. Investors should ignore stage and focus on the magnitude of the opportunity, whether it's two founders or a $60B company.

AI companies raise subsequent rounds so quickly that little is de-risked between seed and Series B, yet valuations skyrocket. This dynamic forces large funds, which traditionally wait for traction, to compete at the earliest inception stage to secure a stake before prices become untenable for the risk involved.

Benchmark, historically famous for its disciplined focus on early-stage venture, has raised its first dedicated growth fund. This pivot from one of the industry's last purists indicates that to remain competitive and maximize returns, even top-tier firms must now build platforms that span the entire company lifecycle.

Venture firm Benchmark, known for consumer tech like Uber and Snap, making a highly successful 12x return on chipmaker Cerebras indicates a strategic shift. Generalist VCs are now validating and pursuing moonshot AI infrastructure investments, a category once left to specialists.

Venture Firm Benchmark Embraced Growth Investing with a $10B Pre-Revenue Bet | RiffOn