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Ben Horowitz on the Global Race for Tech, Power, and Influence
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Ben Horowitz on the Global Race for Tech, Power, and Influence

Summary

  • AI models are becoming geopolitical infrastructure because they will mediate nearly every product while encoding contested histories, ethics, and values. Horowitz’s warning that “the models are not objective. They have opinions” makes model choice a sovereignty decision, not just a benchmark or cost comparison: the defaults inside cars, education, and household systems will project somebody’s worldview.
  • Deterrence increasingly rewards innovation velocity, not only military scale, pulling private AI, autonomy, and cyber vendors into the core of allied security. Neuberger points to the Strait of Hormuz and Red Sea: adversaries can field cheap, software-built systems, while “those technologies today are not being built by governments.” Government-private-sector access and allied interoperability therefore become strategic assets.
  • AI and APIs globalize product demand before startups have the organizational capacity to serve it, creating a distribution bottleneck for venture-backed companies. Raghuram contrasts the old threshold of “a few hundred million dollars in revenue” with today’s earlier international pull, but stresses that local relationships and market structure still matter. In top-heavy economies, five or 10 companies plus government can matter most, so access may outperform a premature full-country rollout.
  • An anchor customer can reverse the economics of market entry: a $5 million or $10 million opportunity can justify the same scale of upfront country investment. Horowitz argues this is a16z’s edge in allied, AI-forward, relationship-heavy markets, where government, business, investors, and adoption are intertwined. The target map includes Japan, Korea, the Middle East, Mexico, and Canada, while Raghuram notes Japan, Korea, and Taiwan contain 15–20% of the Forbes Global 2000.
  • Cybersecurity is the clearest dual-use AI opportunity and the hardest policy trap: finding a vulnerability enables both patching and exploitation. Neuberger believes the models may help defense “far more,” because defenders cover a broad expanse while attackers need one opening; AI can “jiggle every doorknob continuously and at scale.” Yet Horowitz warns that restricting vulnerability discovery could also prevent defenders from auditing and patching their own code.
  • Silicon Valley is not software that can simply be copied online; its moat combines technical talent, entrepreneurship-friendly rules, and a culture that grants status to risk-taking. Horowitz calls the internet-as-distributed-Valley thesis “happy talk” and warns the culture is “so easy to destroy.” The investable corollary is that tax, property, hiring, and social incentives can expand—or abruptly shrink—the founder and growth-capital pipeline.

Deep dive

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