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    Home»Finance Tools»Why Tech Giants Are Spending $100 Million Per Year on Just One Kind of Employee
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    Why Tech Giants Are Spending $100 Million Per Year on Just One Kind of Employee

    Money MechanicsBy Money MechanicsAugust 17, 2025No Comments4 Mins Read
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    Why Tech Giants Are Spending 0 Million Per Year on Just One Kind of Employee
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    Key Takeaways

    • Meta reportedly offered bonuses as high as $100 million to OpenAI staff amid an AI hiring war.
    • Top analysts caution that the surging spending on AI talent may signal we’re nearing the peak of market euphoria.
    • For investors, the safest bet if you’re looking to gain some AI exposure may just be sticking with the tech titans funding the fight.

    When Sam Altman said Meta was offering $100 million bonuses to poach OpenAI employees, he wasn’t exaggerating.

    In fact, some of the world’s biggest tech firms are now shelling out massive compensation packages to secure top AI scientists, treating them like all-star athletes in a digital arms race.

    The goal? Win the global competition to build superintelligence systems and dominate the next decade of computing. But this frenzied hiring spree isn’t just a jaw-dropping tech-world curiosity. It could shape your investments for years to come.

    The Talent War: Inside Tech’s Most Expensive Bidding Battle

    The escalating battle for AI talent is staggering. In June, OpenAI founder Sam Altman said on an episode of the Uncapped podcast that Meta tried to lure OpenAI employees with bonuses as high as $100 million. “So far, none of our best people have decided to take them up on that,” Altman said.

    Nevertheless, the offers have enticed some. Meta recently poached AI stars like Scale AI founder Alexandr Wang and DeepMind researcher Jack Rae, among many others.

    Ted Mortonson, managing director at international financial services company Baird, calls the personnel arms race “a worldwide first mover advantage that we’ve never seen before in tech,” adding that the largest players have money to spend and huge incentives to bag top AI talent.

    What These Sky-High Salaries Mean for Your Tech Investments

    Analysts say it’s a make-or-break moment. For large-cap firms like Meta (META), Google (GOOGL), and Microsoft (MSFT), investing in top-tier AI talent is seen as essential to achieving artificial general intelligence (AGI) and superintelligence, and companies aren’t skimping on investing in these efforts.

    Meta CEO Mark Zuckerberg, for example, said in July that the firm would invest hundreds of billions of dollars into AI data centers built to bolster their superintelligence efforts.

    “If you’re acquiring the greatest minds out there, your success rate is going to go up,” says Angelo Zino, a technology equity analyst at financial research and analysis firm CFRA. That could eventually translate into stronger business performance and higher stock multiples.

    Mortonson agrees. “If you look at the total addressable market opportunity for superintelligence, it’s in the trillions.” Of course, this game is reserved for only the largest players. “Small-cap companies are at a huge disadvantage,” Mortonson adds. “They can’t give somebody $100 million to come work on superintelligence.”

    So what’s his advice for retail investors? Stick to owning the cloud titans at the forefront of the push. “They have all the AI engineers, all the money, and all the infrastructure,” he says. “Just own the cloud Titans and let it ride for a couple of years.”

    The Hidden Costs of the AI Brain Drain

    After waves of layoffs during and after the pandemic, big spending on elite talent has become the new normal, according to Zino. “It’s almost like giving [top AI developers] max dollars, like NBA players.”

    With regulators cracking down on mergers and acquisitions, snapping up talent directly is one way companies can keep innovating without triggering antitrust alarms.

    Still, the costs add up, especially when salaries rival the cost of some startups. The hope, Zino said, is that these new hires will bring high-value colleagues along with them and bolster a company’s internal innovation.

    There are also reasons to be cautious. “Whenever you see activities like this, it’s generally, I would say, two years prior to the end of the bubble,” Mortonson says. In other words, the hyper-competitive spending spree may be the hallmark of a market nearing euphoric heights.

    The Bottom Line

    The AI gold rush isn’t just about chips and models—it’s about people. As tech giants bet billions on brainpower, they’re shaping not only the future of the industry but potentially also the trajectory of your portfolio.

    While some analysts see signs of a bubble, most agree that the stakes are simply too high to sit this one out. For investors, that might mean sticking with the companies writing the biggest checks and building the biggest breakthroughs.



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