The biggest fortune of the AI era may not belong to the person who builds the most powerful model. It may belong to the investor who recognizes what happens after the models become ubiquitous.
Sarah Guo is making precisely that kind of bet.
In 2022, after nearly a decade at Greylock, Guo left one of Silicon Valley’s most prestigious venture firms to launch Conviction, an investment firm built specifically around AI-native companies. She made the move before ChatGPT transformed artificial intelligence from a specialized technology into a mainstream economic force. Today, her portfolio reads almost like a map of where AI could reshape entire industries.
Among Conviction’s investments are Harvey, the legal AI company; OpenEvidence, which serves physicians; and Sierra, an AI customer-service platform. Harvey reached an $11 billion valuation after a $200 million financing in March 2026. OpenEvidence doubled its valuation to $12 billion in January. And in May, Sierra raised $950 million at a $15 billion valuation.
Those numbers are extraordinary. But the more interesting story is what they reveal about where Guo sees value being created.
The AI investment frenzy has understandably centered on the machinery behind the revolution: chips, data centers, computing power and foundation models. Guo’s strategy points toward another layer of the opportunity. Conviction describes itself as an AI-native investment firm focused on companies translating powerful AI models into products that can transform industries.
That distinction matters.
The most consequential AI companies may not simply sell artificial intelligence. They may become deeply embedded in how lawyers practice law, how doctors access medical knowledge, how companies communicate with customers and how professionals perform work that once required teams of highly trained people.
In that sense, Guo’s portfolio suggests a compelling interpretation of the AI wealth gap: the next generation of enormous fortunes may be created not only by owning the technology that makes AI possible, but by owning the businesses that make AI indispensable.
Consider the economics. Law, healthcare and customer service are not niche markets. They represent enormous pools of labor, spending and institutional infrastructure. If AI-native companies can capture even a fraction of the value generated inside those industries, their economic importance could extend far beyond the technology sector.
Guo is also taking a distinctly concentrated approach to finding those winners. Forbes reports that Conviction has invested in just 27 startups, with Guo taking board positions at only six of them over the past three years. Her philosophy is less about scattering bets across the market and more about committing deeply to a small number of founders and ideas.
That makes her an especially fascinating figure in the emerging AI economy. She is not simply betting that artificial intelligence will become important. She is betting on which companies will matter once it does.
And that may be the more important question for investors watching the AI boom.
Every technological revolution creates enormous wealth, but rarely distributes it evenly. The fortunes tend to accrue to those who own the assets, platforms or businesses that become essential during the transition.
For Guo, the opportunity appears to be finding those companies before everyone else recognizes what they are becoming.
The AI arms race is already producing extraordinary fortunes. The next phase may determine who owns the infrastructure of work itself.
Sarah Guo is betting on the companies that could build it.