The Memo That Says Everything

Snap CEO Evan Spiegel sent a memo to staff earlier this month announcing a 16% cut to the global workforce. The stated reason: AI-driven productivity gains mean the company needs fewer people.

Then, in the same document, Spiegel warned that tech leaders are underestimating the "societal pushback" AI is about to face as people lose their jobs.

Spiegel fired a sixth of his workforce because of AI, then warned that the same technology is about to make people furious. Same memo.

The Numbers Are Real

According to the layoff tracker Layoffs.fyi, more than 165,000 tech workers have been cut in the past year.

Microsoft cut 15,000 workers. Amazon laid off 30,000 in the last six months. Block eliminated over 4,000 people — 40% of its entire workforce — in February. Meta laid off more than 1,000 in the last six months and, according to Reuters, may cut another 20% of all employees. Oracle just laid off thousands more. Pinterest and Atlassian each slashed 10-15% of their staff.

These are some of the most profitable organizations in human history.

OpenAI Is Missing Its Own Targets

Meanwhile, OpenAI is quietly missing its own targets, according to Forbes.

OpenAI has reportedly fallen short of both revenue and user growth milestones internally. It lost enterprise ground to Anthropic in coding and business markets. CFO Sarah Friar reportedly flagged concerns to company leadership about whether revenue will grow fast enough to cover future computing commitments.

ChatGPT was the fastest product in history to 100 million users. The growth curve appears to be bending now—after all the hype, all the investment, all the layoffs justified by AI productivity promises.

Sam Altman's Credibility Gap

Two weeks ago, someone threw a Molotov cocktail at Sam Altman's San Francisco home. Altman responded with an essay saying "the fear and anxiety about AI is justified" and calling for calm.

Casey Newton at Platformer published a pointed response: Altman spent years describing AI in the most alarming terms imaginable, signed letters warning of existential risk, and helped create the very panic he's now asking people to tone down.

The CEO of the most powerful AI company in the world is now publicly acknowledging the fear is justified—while his company misses revenue targets and competitors chip away at his market share.

Workers Are Pushing Back — Including the Technical Ones

Resistance to AI in the workplace is widespread and growing—and it's not just coming from people who don't understand the technology.

According to a Gallup report cited by Built In, 64% of American adults plan to avoid using AI for as long as possible. One study found 31% of employees are actively working against their company's AI initiatives—with that number jumping to 41% among Gen Z workers. A separate study found 45% of CEOs say most of their employees are resistant or openly hostile to AI.

A 36-year-old software engineer told The Washington Post he was afraid to speak up because he didn't want to be called a Luddite—even though his concerns were technical: data security exposure, environmental cost of data centers, and the real time cost of correcting AI errors.

Bob Hutchins, CEO of Human Voice Media, told Built In: "Resistance is a signal. It is information about the ways in which a product rollout, procurement process, or mandate is failing to address or even account for lived realities."

That's a CEO describing the problem.

Two Stories, One Pattern

Layoffs and AI enthusiasm are often treated as separate developments. They're connected.

Companies are firing workers to fund AI investments, justifying those cuts with promises of AI-driven productivity that AI researchers themselves say are still unproven at scale. According to The Guardian, multiple AI researchers, economists, and tech workers described the current moment as "an experiment"—one that may fundamentally change how work functions, or may not deliver what was promised.

The Guardian quotes a longtime tech employee: "At no point in my career have I ever been this pessimistic about the future of careers in tech."

This person works in tech and is scared.

The Calculation

The AI gold rush is entering a different phase. The easy hype is running into hard math.

OpenAI is missing revenue targets. Worker resistance is measurable and growing. Hundreds of thousands of jobs are already gone—justified by productivity gains that researchers say haven't been fully proven yet.

Tech companies are running a live experiment on the American workforce. The workers are the test subjects.

If the productivity gains don't materialize at the scale promised, the companies will have fired real people for a bet that didn't pay off. If the gains do materialize, millions more jobs are next.

Regular people are absorbing the risk. The executives keep the upside.