A necessary experiment to find out whether humanity’s dreams of galactic colonisation are truly within reach.
There are so few AI engineers and researchers in the world that Big Tech companies are paying them like sports superstars
By some estimates, there are only around a hundred in the world. And in Silicon Valley, companies are willing to pay any price to get them.
If the dot-com boom once created an unprecedented labour market, artificial intelligence has already outgrown it.
With one decisive difference: then, talent was plentiful. Now, it isn’t.
What AI has produced is a race that increasingly resembles an arms race, except the weapons are people. And those people are counted in very small numbers. By most estimates, there are only around a hundred elite researchers and top-tier engineers capable of building frontier AI systems at scale.
OpenAI, Meta, Google DeepMind, Anthropic, xAI, and a growing constellation of startups are all competing for the same, vanishingly small pool.
The outcome is predictable. When demand overwhelms supply, prices explode. Only here, the prices are salaries, bonuses, and equity packages for people who, until recently, were academics on academic wages, and who now command compensation on the level of global sports superstars.
The numbers circulating are so high they border on implausible. Some may well be. As Euronews has noted, many remain unverified, and there is no way of separating fact from Silicon Valley echo chamber inflation. Still, the confirmed cases are enough to sketch the contours of the escalation.
Alexandr Wang, founder of Scale AI, now at Meta Superintelligence Labs after Zuckerberg acquired nearly half his company for $14.3 billion, is reported to have a $1 million base salary, multimillion-dollar bonuses, and between $100 and $150 million in stock awards over five years.
Ilya Sutskever, OpenAI co-founder, has disclosed a stake in the company valued at around $7 billion. His post-OpenAI venture, Safe Superintelligence, has reached a private valuation of $32 billion without yet shipping a commercial product.
Mira Murati, former CTO of OpenAI, has launched Thinking Machines Lab, which was valued at over $5 billion almost immediately after its founding.
To grasp the intensity of the competition, it is enough to note that Mark Zuckerberg and Sam Altman now personally lead recruitment. No delegation. No intermediaries. They go themselves.
In elite sport, the gap between first and second place is never linear. The best player in the world is not twice as good as the next: it can be a hundred times more valuable in impact, gravity, attention.
AI now behaves in much the same way. The best researchers are not simply better; they are multipliers. They attract other talent, set the direction of entire labs, and determine whether a system is state of the art or already obsolete on arrival.
Demis Hassabis, CEO of Google DeepMind and 2024 Nobel Prize in Chemistry laureate, embodies this logic. For Google, his value lies not only in what he builds, but in what becomes impossible without him.