AI isn't taking people's jobs. Here's what's really happening
Oracle's layoffs show that the people losing jobs aren't losing them because AI can do their work. They're losing them to money spent on chips and data centers
Oracle $ORCL co-founder Larry Ellison (Andrew Harnik/Getty Images)
A simple and accurate explanation for the wave of white-collar layoffs sweeping across industries is becoming increasingly clear: AI isn’t replacing white-collar workers. It’s displacing the cash once used to pay them, with companies cutting corporate payrolls to help fund their pushes into data centers and other AI-focused investments.
Oracle $ORCL’s coming layoffs reveal one of the clearest cases yet. Bloomberg reports that the company is planning thousands of job cuts — perhaps as many as 30,000 in its largest-ever restructuring — as management prepares to take the company cash-flow negative for the next several years. Essentially, its leadership is spending so aggressively on data centers to keep pace with Amazon $AMZN and Microsoft $MSFT that Oracle must find the money somewhere, and cutting labor costs is one way it plans to do so.
This is why the question of “can AI actually replace white-collar workers” is less relevant than many people believe — a distraction from a clearer-cut phenomenon. AI doesn’t have to replace white-collar knowledge work to lead to white-collar jobs cuts. Only corporate spending priorities must change, and that trend is already widely acknowledged and documented.
In The New York Times this week, former Block $SQ employee Aaron Zamost articulated the tension in an op-ed about the company’s layoffs: “The question on minds everywhere: Is A.I. a terrifying new reality in which the work they do might no longer be viable? Or is Block’s announcement just a convenient and flashy new cover for typical corporate downsizing? The truth is, nobody knows the answer — not even Block itself.”
Zamost’s op-ed identified patterns of thinking common in Silicon Valley that appear to be contributing to companies’ growing emphasis on AI: a desire to be among “first adopters,” a tendency to extrapolate from breakthroughs without waiting for conclusive evidence, and making statements to please Wall Street whether statements are fully true or not. Those are all worthwhile additions to larger understanding. But Zamost offered a clearer answer without knowing it: White-collar downsizing is being driven by AI, displacing it without necessarily replacing it.
What he dismisses as "standard prioritization and cost management" is the whole point.
The Bloomberg story puts it plainly, with Oracle "planning to ax thousands of jobs among its moves to handle a cash crunch from a massive AI data center expansion effort." Some of those cuts will target roles the company expects AI to eventually replace, but that's a secondary rationale layered onto a primary financial one.
The crunch comes first. The cuts follow.
Microsoft likewise cut 15,000 people last year while simultaneously ramping data center spend to historic levels. Ditto Amazon, which has cut corporate payrolls amid explosive capex growth.
The workers losing jobs today aren't losing them because ChatGPT, Gemini, or Claude can do their work. They're losing them to chip orders, lease commitments, bond offerings, server farms, spades in the ground.
It all points to a less futuristic and visceral explanation than the popular narrative.
The displacement is real, even if the replacement isn't yet.