The clearest analysis of why the Meta and Intuit layoffs feel different in 2026 didn’t come from a newsletter, a Forbes column, or a podcast. It came from a comment.
Last week, Elena Verna retitled a post. The original headline was “You’ll lose your job in 2027.” After painful reader feedback in the context of the recent cuts, she changed it to “Your Job Is Changing Faster Than You Think” and posted an apology. The substance stayed the same: become AI-native, build optionality, start a Mom & Pop SaaS, ship to prod with Lovable, where Verna happens to be Head of Growth.
Verna isn’t a marginal voice in this conversation. Her Substack has over 90,000 subscribers, most of them senior PMs, growth leaders, and operators at the companies doing the layoffs. The piece did what well-meaning thought leadership has done for two years now. It collapsed three different stories — AI capability improving, layoffs accelerating, and a forecast about superintelligence — into a single inevitability, then told the reader they needed to adapt.
The comments pushed back. One in particular, from Fiodar Sazanavets, did the work the piece didn’t.
He named it AI washing. Companies cutting headcount for balance sheet reasons and labeling the cuts AI efficiency to make the story palatable on the analyst call. He pointed at Coinbase, which announced its own 14% workforce reduction the same week, framed as an “AI efficiency” move during a crypto downturn. He noted Verna’s employer. Two sentences, posted under a piece that will be read by a hundred thousand people. The comment did more analytical work than the article it sat under.
Verna did eventually qualify her position. By then the original provocation had already done its work — the snowball was rolling, and the corrections never catch up.
Here’s the real framework by which to assess the recent AI layoffs.
Three layoffs, three pressures, one costume
AI washing is a costume. Underneath it sits a collection of real business pressures. None of them are primarily about AI replacing the worker.
Meta is cutting employees because of capex pressure. Intuit is cutting because of price-to-earnings multiple compression. Coinbase cut because of a crypto market downturn. All three layoffs got dressed up the same way: we’re becoming more AI-efficient, we’re moving people into AI initiatives, we’re getting faster. Three completely different financial mechanics under one disguise.
Let me dive into each one.
Meta: when the cost of a data center eats the company
The bet underneath the entire AI economy is straightforward. Whoever owns the compute owns the layer every future AI product runs on, the way owning the cell towers meant owning a piece of every phone call in the 2000s. Microsoft, Google, Amazon, Meta, and Oracle are racing to build the cell-tower equivalent for AI: data centers, GPUs, networking, power. The winner gets to charge rent on the next decade of software. Losing means becoming a tenant in someone else’s economy.
So they’re spending. The five have committed between $660 and $720 billion in capital expenditure in 2026, nearly all of it for AI infrastructure. Roughly double 2025. Almost triple 2024.
Here’s the part the layoff coverage skips. Capital expenditure — buildings, chips, ten-year power contracts — comes out of the same pot of money that funds payroll, marketing, R&D, and shareholder returns. For most of the last decade, the hyperscalers’ capex used about 40% of the cash their businesses generated. The rest was spare. Some bought back stock, some paid dividends. Most of it sat on the balance sheet as a buffer.
In 2026, capex is consuming close to 100% of operating cash flow. The buffer is gone. Microsoft’s free cash flow is projected to drop 28% this year. Barclays now models the cohort going cash-negative in 2027 and 2028, spending more than they generate, for two years running.
To bridge the gap, the hyperscalers are doing something they’ve never done at scale: borrowing. The five issued $121 billion in bonds last year against a five-year average of $28 billion, and Morgan Stanley projects $400 billion of AI-related debt issuance in 2026 — roughly ten times what they raised in 2024. Oracle is already cash-flow negative, and on one Barclays scenario runs out of cash by November.
Not all of the debt is in the headline numbers. Meta’s $27 billion deal with Blue Owl Capital to finance the Hyperion data center in Louisiana sits in an off-balance-sheet vehicle. Microsoft, BlackRock, and partners did the same thing at $40 billion scale with the Aligned Data Centers acquisition — the largest data center deal in history, structured specifically to keep the leverage off the parent’s books. The pressure is real even when the disclosure isn’t.
When capex is locked in for years, when debt service is climbing — visible and otherwise — and when free cash flow has collapsed, the income statement has to give somewhere. You can’t unbuild a half-finished data center. Headcount is the line you can cut in a quarter and announce on an earnings call.
So Meta cuts 10% of its workforce — 8,000 people — in May, and the memo talks about flattening management and moving people into AI. The same quarter, the company guides to $115–$135 billion of capex for the year.
The narrative is “we’re moving people into AI.” The accounting is “we are financing a $130 billion infrastructure year, and the cash has to come from somewhere.”
Intuit: when the market downgrades your future
Intuit is a different story, and it took me a minute to figure it out.
By every operating measure that matters, Intuit is fine. Revenue grew 10% last quarter. Operating income climbed to $4 billion from $3.7 billion year over year. The company raised its full-year revenue guidance, bought back $1.6 billion of its own stock, raised the dividend 15%. The CFO went on record saying the underlying business isn’t showing the AI disruption the market is pricing in. None of that looks like a company that needs to cut 3,000 people — nearly 20% of its workforce — to make ends meet.
But the stock is down roughly 40% on the year. The reason is one sentence: in April, Anthropic launched managed agents that handle financial and tax workflows, the exact workflows TurboTax and QuickBooks have charged for since the nineties.
Investors looked at Anthropic’s launches, looked at Intuit’s $200-billion-plus market cap, and asked: how much of this is still worth paying for in 2028?
Whether the question is right doesn’t matter. The fact that investors are asking it changes the price. Spooked by the emerging competition, they quietly downgraded the multiple they’d pay for every dollar of Intuit’s earnings. Earnings are unchanged. The stock — a bet on the future — falls.
When that happens, the only way to defend the share price is to grow earnings faster than investors expect. And the fastest lever a profitable software company has for growing near-term earnings is to cut opex. So you cut 17% of the workforce, take a $300–$340 million restructuring charge, and tell Wall Street the savings flow to margin expansion and EPS growth. Goodarzi said exactly this on the call.
Intuit’s 17% cut isn’t a productivity announcement. It’s an EPS announcement, made because a software company with stock down 40% needs to give Wall Street a number to believe in.
Coinbase: when the actual business is down and “AI” sounds better
Coinbase laid off about 14% of its workforce on May 5 — 700 employees — and attributed the cuts to AI-driven efficiency and a flatter org structure. Two days later, the company reported a $394 million quarterly loss and a 31% year-over-year revenue decline. Crypto is in a bear market. Trading volume is down. The actual reason for the cuts was that the underlying business was contracting. The AI framing was the press release.
What’s actually going on
Three layoffs. Three different financial mechanics. Same costume.
Meta needed cash to fund a capex year that’s eating its operating cash flow. Intuit needed an EPS story to defend a compressing multiple. Coinbase needed a reason for cuts in a down market that didn’t say “we’re a crypto company in a crypto winter.” All three reached for the same word, because in 2026 AI is the word that gets analysts to nod along.
Verna’s piece — and the broader genre it represents — reads all three as evidence that AI is finally coming for knowledge work. The actual evidence supports a more banal claim: AI is the most flexible justification language a CFO has had since “offshore efficiencies.” Like offshoring, the language of layoffs is being deployed in front of decisions that would have been made anyway. The actual driver is margin defense.
That’s not the same as saying AI doesn’t matter in the workforce. It matters. The role change is real, and the employees who refuse to engage with the tools will face an uphill battle delivering in their jobs. Verna isn’t wrong about that.
She’s wrong about the causal connection. “Your job is changing because AI is becoming powerful” and “you were laid off in May 2026 because AI is becoming powerful” are two different claims.
The first is mostly true. The second is a financing story dressed up as a productivity story. Treating them as the same thing leads thoughtful people to make hurried decisions. Quit and start a service business. Take a pay cut to chase an “AI-native” role. Pivot into solopreneurship in a recessionary economy. All based on a misread of what’s actually happening at the cap table.
There’s a version of the advice that I would advocate for. Stay technically sharp. Get genuinely good at the AI tools that affect your function, not as performance but as fluency. Keep your human relationships warm. What's not on that list: rushing to go back to school, becoming a solopreneur, or taking a 30% pay cut because someone told you AI is eliminating your old work.
The quiet good news
If the layoffs were driven by productivity gains alone, the roles would be gone. They aren’t. They’re being deferred because the capex year is brutal, the multiple is compressed, or the underlying business is having a bad quarter. The work didn’t go away.
The research community has been clear on this. As of early 2026, multiple studies using payroll, CPS, and labor-market data through 2025 find no aggregate employment decline traceable to AI exposure. The Federal Reserve Bank of Dallas finds that in jobs with heavy AI exposure, wages aren’t declining either — which is the signature you’d see if labor were being displaced at scale. Even Intuit’s own CFO told analysts the underlying business isn’t showing the AI disruption the market is pricing in. The aggregate productivity gain that would justify aggregate layoffs hasn’t shown up.
Tech has done this before. Meta laid off 21,000 people between November 2022 and March 2023, then hired tens of thousands back through 2024 and 2025. Google cut 12,000 in January 2023 and ended 2024 with more employees than before the cuts. The pattern is consistent across 2001, 2009, and 2022. Each time, the people who stayed sharp and didn’t panic-pivot out of their domain came out of the cycle stronger than the ones who reinvented themselves in a hurry.
The 2026 cycle will run the same way. The capex curve digests its investment-heavy meal. The multiple stabilizes. The bad quarter ends. The same companies that cut in May discover, around the same time next year, that they need to hire back into the function they cut from. The flavor of the work will change — product teams leveraging agents, finance teams automating their daily reporting — but the work remains.
In the meantime, keep an eye on the comments. Sometimes that’s where the real story lies.
This is an outstanding read.
Great job analyzing the hype and reading beyond the screensaver. Good read. Thanks.