On a CNBC set in September, a JPMorgan strategist told viewers something that made the room go quiet. You could feel the word “AI” press against the conversation like a threat. I remember thinking: reporters are asking about jobs, but barely anyone is naming wages.
I want to cut through the fog. You’ve seen The New York Times piece by Ben Casselman—reasonable, cautious, full of questions. But it misses the single, less dramatic freight train: artificial intelligence is already reshaping bargaining power, and that matters more to your paycheck than isolated layoff counts.
On air, a JPMorgan strategist said workers are too afraid to ask for raises. Why the Times focused on jobs, not pay
David Kelly told CNBC that workers “don’t have the guts” to demand higher pay because they feel threatened by AI. That line didn’t just change the tone of a TV segment; it revealed an employer-side playbook.
The Times article asks the right headline question—Is AI taking our jobs?—but treats employment totals as the primary metric. That’s a narrow frame. You and I both know labor markets are about more than headcounts: they’re about leverage, voice, and the confidence to walk away.
Is artificial intelligence taking our jobs?
Short answer: sometimes, in pockets—automated routine work, some call-center tasks—but not in the wholesale way headlines imagine. Long answer: the story is fragmented. Microsoft offered voluntary exits for roughly 60,000 employees. Big finance, accounting, and legal continued to hire in October. Numbers conflict; signals multiply.
At the Federal Reserve Bank of Boston, researchers found fear lowers bargaining. How that transforms pay outcomes
A Boston Fed survey showed workers who feared AI were less likely to think they could negotiate higher pay. That’s an observation with teeth: fear changes behavior.
When people feel replaceable, they stop asking. Employers notice. Wages rise only when labor feels scarce and workers have options. Today, wages are up 3.1% year-over-year while inflation ran 3.7% in September—real pay is down. That gap is the quiet damage that unemployment statistics won’t flag.
The effect is subtle: AI becomes a silent handbrake on raises, a threat managers can invoke when compensation conversations begin.
Can AI suppress wages even without causing layoffs?
Yes. Employers can point to efficiency gains or the potential for automation and say: now is not the time. You, as a worker, hear that and hesitate. A Boston Fed study and on-air admissions from industry figures like David Kelly show this is already happening in worker psychology.
In the headline numbers, jobs were added last month. Why those gains don’t prove workers are winning
The U.S. added 165,000 jobs in October and unemployment sat at 4.1%. That looks reassuring at first glance.
But aggregate employment masks distribution. Large cohorts retiring, sectoral hiring booms, and sticky wage trends can coexist. You can have a headline-grabbing jobs print while real wages lag. Those two outcomes are not mutually exclusive.
Think of the market this way: one metaphor is a slow leak in a tire—on the surface the car still rolls, but day by day the pressure drops. A second metaphor is a quiet hand tightening a screw: you don’t notice until the parts no longer fit.
Are unemployment rates reliable indicators of AI’s impact?
They’re limited. Unemployment measures separations and hires, not bargaining power or wage growth. If AI chills demands for raises, the labor market can look “tight” on paper while workers feel fragile in reality.
On financial TV and in corporate halls, executives are already discussing strategy. What that says about where power is shifting
Network pundits and asset managers—Microsoft, OpenAI partners, Google, and major banks—are framing AI as a cost and a productivity tool. That framing becomes policy inside firms: hire where AI adds value, pause hires elsewhere, and push harder on wage discipline.
I’ve tracked these conversations. You should listen to them too: they’re not theoretical. They’re influence operations aimed at keeping labor costs down while capital chases scale.
The New York Times gave us an important stock-taking of whether jobs are disappearing. But we need equal attention on the way AI serves as leverage inside employment relationships—how it suppresses raises, freezes bargaining, and reshapes expectations about what workers can ask for.
So what do you do if you’re worried? Study your skills that AI can’t easily replicate, document your measurable impact, and widen your options. Employers notice confidence more than complaints. But will that be enough to stop a broader trend of wage stagnation driven by tech-enabled fear?