At Nvidia, the cost of computing power just surpassed the cost of human employees. Bryan Catanzaro, Nvidia's VP of applied deep learning, said it plainly: "For my team, the cost of compute is far beyond the costs of the employees." And the rest of corporate America is catching up. Uber has already burned through its entire 2026 AI budget — thanks to token costs from heavy model use. Every request costs money. The more teams use AI, the faster costs spike. The trade-off? Some leaders see AI spending as a way to grow without hiring. "Scaling with intelligence, not headcount," one CEO put it. But scrutiny is growing. Investors want hard ROI. If compute costs keep climbing, AI spending could soon be treated like payroll — with the same cost controls. The AI revolution isn't just about capability anymore. It's about the bill. 💻📈
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