Artificial intelligence became the fastest route to a ten-figure fortune in 2025. According to year-end tallies by Forbes and other outlets, more than 50 people who build AI infrastructure, models or applications crossed the billionaire threshold during the year, while investors poured roughly $202 billion into AI startups, close to half of all global venture capital, up from about 34 percent in 2024.
The richest newcomer: a bootstrapped data labeler
The largest new fortune belongs to Edwin Chen, the 37-year-old founder and chief executive of Surge AI, a company that supplies human-labeled training data to AI developers. Forbes estimates Chen’s net worth at about $18 billion. According to Forbes, Surge generated roughly $1.2 billion in revenue in 2024 without raising outside capital, and Chen’s ownership stake, reported at about 75 percent, became worth billions when the company was valued at around $24 billion in 2025.
Surge’s rise reflects a shift in where value accrues in the AI supply chain. As frontier labs compete on model quality, the specialized human feedback used to train and evaluate models has become a scarce input, and the companies that provide it have commanded valuations once reserved for the labs themselves. Meta’s roughly $14 billion investment in rival data firm Scale AI earlier in 2025 underlined the same trend.
The youngest self-made billionaires
The year also produced what Forbes described as the youngest self-made billionaires on record. Brendan Foody, Adarsh Hiremath and Surya Midha, the three co-founders of AI-driven recruiting and talent platform Mercor, each reached an estimated net worth of about $2.2 billion at age 22. Mercor raised $350 million in a funding round in late 2025 that valued the company at $10 billion. The company began as a hiring marketplace and now earns much of its revenue by supplying domain experts who help AI labs train and evaluate their models.
Where the money went
Beyond individual founders, 2025’s AI wealth concentrated in a few categories: data labeling and model training services, AI chips and data center infrastructure, foundation model developers, and applications in recruiting, coding and automation. MarketWatch reported that the year’s AI boom also added substantially to the fortunes of established technology billionaires, with Nvidia’s Jensen Huang and Oracle’s Larry Ellison among the largest gainers as their companies’ shares rose.
The venture data points to an unusual concentration of capital. With AI startups taking about half of global venture funding, other sectors competed for a shrinking share, and a handful of mega-rounds for companies such as OpenAI, Anthropic and xAI accounted for a large portion of the total.
Bubble or structural shift
The speed of the wealth creation has prompted comparisons with the late-1990s dot-com boom. Skeptics point to valuations based on projected rather than current revenue, circular financing arrangements between chipmakers, cloud providers and model labs, and the fact that many AI companies are not yet profitable. Supporters argue that, unlike many dot-com firms, the leading AI companies have large and rapidly growing revenues and that demand for computing capacity is real.
Both readings can hold at once: the technology may prove durable while individual valuations do not. The 2025 billionaire lists record who captured value during the boom; whether those fortunes persist will depend on whether AI products deliver returns that justify the capital now committed to them.
