Atlassian cut 1,600 employees last week—10% of its workforce, including over 900 in R&D. CEO Mike Cannon-Brookes said it would be "disingenuous to pretend AI doesn't change the mix of skills we need." The official reason: self-fund AI investment and enterprise sales. Two weeks earlier, Block's Jack Dorsey slashed 4,000 jobs—40% of his workforce—and predicted most companies would do the same within a year. Both companies reported strong earnings at the time of the cuts.

1. This Is Corporate Malpractice (Joe Procopio, Inc.)

Big tech's excuses are getting more confident. Its logic is getting worse.

Atlassian is winning, and it's firing the people who got it there. Inc.'s Joe Procopio has watched the layoff rationale deteriorate in real time. Atlassian posted 21% revenue growth, beat earnings estimates, and saw cloud users jump 50% in a single quarter—then turned around and gutted 10% of its workforce anyway. Atlassian assumes labor is the only budget line worth cutting and that losing 1,600 people costs less than keeping them. For a company this healthy, that math is backwards.

More humans+AI is more than fewer humans+AI. Procopio poses a question no CEO has answered: how does 6,000 people multiplied by AI produce more than 10,000 people multiplied by AI? If AI is the multiplier, more humans using it should mean more output, not less. And if every company adopts the same AI tools, the outcomes will be "remarkably similar"—meaning the differentiator was always the human ingenuity they're now cutting.

The endgame is a consumer base that can't afford the products. If every major tech company slashes headcount to hit the "new normal," who's buying the optimized products these optimized companies are making? It's a circular firing squad—companies cutting because others are cutting, with no one articulating what winning actually looks like at the end.

2. That's Just Wrong: Smaller Teams Means Better Results (Dorsey, Cannon-Brookes)

AI tools compound faster every week—the companies that restructure first will dominate.

Block proved the market rewards bold AI restructuring. Jack Dorsey cut 40% of Block's workforce and the stock jumped 24%. His argument is straightforward: a significantly smaller team, using the tools they're building, can do more and do it better. Block's Q4 gross profit hit $2.87 billion, up 26% year over year, and Cash App profit rose 33%. The business was strong before the cuts and Dorsey bet it would be stronger after.

Cannon-Brookes frames this as skill rebalancing, not just cost-cutting. Atlassian's AI-powered cloud features drove a 50% quarter-over-quarter increase in monthly active users, to 3.5 million. The argument isn't that AI replaces humans but that AI changes which humans you need—and Atlassian would rather invest in AI engineers and enterprise sales than maintain headcount in roles the product is outgrowing. The company is guiding for 20%+ annual revenue growth through FY27 and 25%+ operating margins.

And most companies will reach the same conclusion within a year. The ones that move first, the argument goes, lock in the efficiency gains while competitors are still debating. Whether that's true or just CEO bravado dressed in AI language is the core question.

3. This Is AI-Washing, and Even Altman Knows It (Sam Altman, Bloomberg)

Companies are blaming AI for layoffs they would have done anyway—and they're getting more brazen about it.

Even the CEO of OpenAI says some of this is fake. Sam Altman told an audience at the India AI Impact Summit in February that there's "some AI washing where people are blaming AI for layoffs that they would otherwise do." When the person building the AI tools says companies are using his product as an excuse, the credibility gap is hard to ignore.

The numbers back Altman up. Of 45,363 tech layoffs through early March 2026, only about 9,238—roughly 20%—were explicitly linked to AI implementation. The other 80% had nothing to do with AI. More damning: 60% of US hiring managers who plan layoffs in 2026 admitted they emphasize AI's role because it's viewed more favorably than financial constraints. AI is the excuse that plays best on earnings calls.

Bloomberg called it directly after Block's cuts. A March 1 report flagged suspicions of AI-washing in Dorsey's 4,000-person layoff, and a follow-up column argued the cuts expose tech's false narrative. Experts told TechXplore that most companies lack AI systems capable of actually replacing the workers they're firing. The layoffs are real. The AI justification is, in many cases, not.

4. The Displacement Is Real and It's Accelerating (WEF, IMF, David Autor)

Even if half these layoffs are AI-washing, the other half is a warning sign the economy isn't ready for.

The global displacement numbers are staggering. The World Economic Forum projects 92 million jobs displaced by AI by 2030, with administration (26% at risk) and customer service (20% at risk) hit hardest. IMF chief Kristalina Georgieva warned at Davos that 60% of jobs in advanced economies will be affected—not all eliminated, but enhanced, transformed, or replaced.

The cruelest part is the mismatch. MIT labor economist David Autor puts it bluntly: if a million jobs are destroyed and a million are created, the people taking the new work are not usually the people displaced from the old work. Entry-level workers are at highest risk. Job-finding rates for 22-to-25-year-olds in AI-exposed fields have fallen roughly 13% since ChatGPT launched in late 2022. The WEF's projected 170 million new jobs are "contingent on skill alignment and workforce adaptability"—which is economist-speak for "this only works if we retrain everyone, and we probably won't."

The 2026 pace is outrunning 2025. Tech layoffs hit 45,363 through early March, and if the pace holds, the year-end total could reach roughly 265,000—exceeding 2025's approximately 245,000. Amazon alone has cut 16,000 jobs in 2026. The question isn't whether AI will reshape labor markets. It's whether anyone is building the safety nets for when it does.

Where This Lands

Atlassian's layoffs land differently depending on which number you trust. If you trust the 21% revenue growth, the 50% cloud user surge, and the 25%+ margin targets, cutting 1,600 people from a company that's winning looks less like strategy and more like reflex. If you trust Dorsey's prediction that most companies will restructure within a year, then Atlassian is just early to an inevitable reckoning. On the other hand, when even Sam Altman calls some of this AI-washing and 60% of hiring managers admit they're using AI as a more palatable excuse, the "AI made us do it" narrative starts to crack. Where this lands depends on whether these cuts produce the compounding AI gains Dorsey and Cannon-Brookes are betting on—or whether they just produce smaller companies making the same products with less ingenuity, less consumer demand, and a growing pool of displaced workers nobody planned for.

Sources

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