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As the pace of AI increases, companies frequently pivot into adjacent markets, causing once-separate venture investments to collide. Kanu Gulati explains that firms like Khosla Ventures manage these inevitable portfolio overlaps by enforcing strict Chinese walls where partner teams share zero information. Because winning relies primarily on execution rather than direct competitor presence, investors increasingly tolerate overlapping bets as long as ethical guardrails exist.
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Leaked exchanges show OpenAI leadership felt "betrayed" when early investor Reid Hoffman started rival Inflection AI. This prompted them to consider asking new investors for a "soft promise" not to fund competitors, a highly unusual and restrictive term in venture capital.
A VC firm's partnership is strongest when all partners can engage in a single, unified investment conversation. Firms with siloed specialists—like separate biotech, consumer, and enterprise partners—risk losing synergy, as there's little point in a partnership if members can't meaningfully debate deals together.
In competitive sectors like AI, VCs face a dilemma. Investing in a promising startup early can prevent them from investing in the eventual market winner later due to conflicts of interest (e.g., holding a board seat). This forces a difficult choice between early entry and waiting for more market clarity.
Contrary to the expectation of fierce rivalry, startups in crowded spaces like voice AI within the same YC batch often form collaborative groups. They share learnings on common technical hurdles, turning potential competition into a support system.
Early-stage, board-sitting VCs face conflicts investing in rivals. In contrast, late-stage, non-board investors must invest in competitors to make a secular bet on a market, akin to a public market fund buying multiple leaders in a sector.
The AI hardware ecosystem requires intricate partnerships, forcing rivals to invest in the same companies. Just as Google and Amazon both backed Anthropic, Nvidia is now a major financial partner to MediaTek, a key supplier for its competitor Google. This strategy is now essential for hedging bets and capturing value.
Venture investors aren't concerned when a portfolio company launches products that compete with their other investments. This is viewed as a positive signal of a massive winner—a company so dominant it expands into adjacent categories, which is the ultimate goal.
When investing in competing late-stage companies, Coatue's policy is to inform the existing founder directly before the new deal closes. They explain their rationale but explicitly do not ask for permission. This approach of radical, direct communication prevents founders from hearing news secondhand and maintains trust, even in potentially contentious situations.
Firms like Sequoia investing in direct competitors (OpenAI and Anthropic) shows that late-stage venture has evolved. When taking small, non-board seat stakes for hundreds of millions, firms act like public market funds, buying a portfolio of category leaders without the information access that would create a true conflict.
Conventional venture capital wisdom of 'winner-take-all' may not apply to AI applications. The market is expanding so rapidly that it can sustain multiple, fast-growing, highly valuable companies, each capturing a significant niche. For VCs, this means huge returns don't necessarily require backing a monopoly.
