Jack Dorsey just fired nearly half of Block’s workforce. Not because the company is struggling - he made that clear. Gross profit grew 24% last quarter. Cash App revenue surged 33%. The reason, he said, is “intelligence tools.”
The 4,000 cuts dwarf every previous AI-attributed layoff announcement. Baker McKenzie cut 700. Salesforce cut 1,000 from its Agentforce teams. Amazon has eliminated about 30,000 jobs over the past few months citing AI. But nobody has done what Dorsey did: cut 40% of a profitable company’s workforce in a single day and explicitly credit AI.
“Within the next year, I believe the majority of companies will reach the same conclusion and make similar structural changes,” Dorsey wrote to shareholders. Wall Street agreed immediately. Block’s stock jumped 24%.
The question is whether Dorsey is right - or whether this is the largest AI washing operation ever attempted.
What Block Is Actually Claiming
Block’s argument has three parts.
First, AI tools have made it possible for smaller teams to outperform larger ones. Dorsey said engineering output per person is up over 40% since September. The company uses an internal tool called Goose to automate workflows.
Second, the company is moving toward what it calls “agentic AI infrastructure” - systems that handle customer support, compliance monitoring, and certain software engineering tasks with minimal human oversight. Block’s Square dashboard now uses AI to give sellers real-time recommendations on staffing and inventory.
Third, Dorsey argues this isn’t a layoff - it’s a preemptive restructuring. He said the company could have made gradual cuts over months or years “as this shift plays out.” Instead, Block chose to “act on it now.”
The severance is relatively generous: 20 weeks of salary plus one week per year of tenure, equity vested through May, six months of healthcare, corporate devices, and a $5,000 transition stipend.
The AI Washing Problem
The timing of Dorsey’s announcement matters. It comes one week after OpenAI CEO Sam Altman told an audience in India that some companies are “AI washing” - blaming AI for layoffs they would have made anyway.
The data supports skepticism. Harvard Business Review found in January that companies are laying off workers because of AI’s potential - not its performance. A survey of global executives found 90% said AI had no actual impact on employment at their companies over the past three years. Forrester Research predicts 55% of AI-attributed layoffs will be quietly rehired - often offshore or at lower wages.
The pattern is documented: companies announce AI-driven restructuring, collect a stock bump from investors who reward the forward-looking narrative, then refill the roles cheaper. The net effect is wage arbitrage disguised as technological transformation.
Is Block doing this?
What Makes Block Different
Unlike many AI washing cases, Block’s claims are specific.
Dorsey cited an actual percentage: engineering productivity up 40%. He named an actual tool: Goose. He identified specific functions being automated: customer support, compliance, Square’s seller recommendations.
That’s different from Baker McKenzie saying it’s “rethinking how we work, including through our use of AI” without specifying what AI systems are actually doing the work. It’s different from Salesforce cutting thousands and then discovering its Agentforce agents struggled with the tasks they were meant to handle.
Block is also not hiding behind financial trouble. Dorsey was explicit: the business is strong, gross profit is growing, this isn’t a rescue operation. That transparency cuts against typical AI washing, which tends to use AI as cover for declining fundamentals.
The Missing Test
The honest evaluation of Block’s claim requires data that doesn’t exist yet.
If Dorsey is right, Block should be able to maintain or increase output with 6,000 employees that previously required 10,000. Customer support quality shouldn’t collapse. Square’s seller services shouldn’t degrade. Compliance shouldn’t suffer.
If Dorsey is wrong - if this is AI washing at scale - we’ll see it in the coming quarters. Rehiring. Service degradation. The quiet admission that the AI tools weren’t ready.
Forrester’s rehiring prediction isn’t abstract. Fifty-five percent of executives surveyed already regret AI-attributed layoffs. The gap between what AI is marketed to do and what deployed AI actually does remains enormous.
The Broader Stakes
Dorsey’s announcement is either a turning point or a data point in a trend of corporate overreach.
If he’s right, Block is showing other companies what a genuine AI-native restructuring looks like: painful, massive, but driven by actual capability gains that make smaller teams more productive. The market rewarded it. The severance was decent. The rationale was specific.
If he’s wrong, Block just demonstrated that you can fire half your workforce, cite “intelligence tools,” and receive a standing ovation from Wall Street - even if the technology can’t actually do the work.
The stakes extend beyond Block. 85 million jobs globally are estimated to be at risk from AI and automation by the end of 2026. If AI washing becomes the standard excuse for cost-cutting, workers lose the ability to distinguish between genuine displacement and corporate narrative management.
What to Watch
Over the coming months, the evidence will emerge.
Service quality metrics: Does Block maintain its NPS scores? Do Cash App users report degraded support? Do Square sellers experience the AI-powered recommendations Dorsey described?
Hiring patterns: Does Block quietly refill roles? Do job postings for positions similar to the cut ones appear on LinkedIn and Indeed?
Engineering output: Does the 40% productivity gain Dorsey cited hold up? Does Block ship more features with fewer engineers?
Financial performance: Do operating expenses drop proportionally? Or do consulting fees and AI infrastructure costs absorb the savings?
Dorsey has made a falsifiable claim. “Within the next year, I believe the majority of companies will reach the same conclusion.” If he’s right, 2026 will see waves of AI-attributed workforce reductions at profitable companies. If he’s wrong, Block becomes the cautionary tale of a CEO who mistook AI hype for AI capability.
The 4,000 people who lost their jobs yesterday can’t afford to wait a year to find out which it is.
The Bottom Line
Block’s layoff is the largest single AI-attributed workforce cut in history. Jack Dorsey claims AI tools genuinely enabled it. The evidence is specific enough to be verifiable. Over the next six months, we’ll know whether this is the beginning of a genuine transformation or the most elaborate AI washing attempt yet.