The AI Washing Epidemic — Are Companies Using AI as Cover for Mass Layoffs?

The Gap Between AI Claims and AI Reality

When Jack Dorsey announced on February 26 that Block would cut over 4,000 jobs — nearly half of the company's 10,000-person workforce — he offered a clear explanation: artificial intelligence was enabling smaller, flatter teams to do more work. The company's CFO Amrita Ahuja reinforced the message, stating the cuts would position Block to "move faster with smaller, highly talented teams using AI to automate more work."

There was just one problem with the narrative. Block reported gross profit of $2.87 billion in Q4, up 24 percent year over year. This was not a company in distress. And the AI tools Dorsey cited as the catalyst for the cuts are the same tools available to every company — ChatGPT, Copilot, and internal automation scripts that have been in circulation for two years.

Wall Street loved it. Block shares surged up to 24 percent following the announcement. And therein lies the real story: AI has become the most investor-friendly justification for workforce reductions in corporate history.

What Is AI Washing?

The term "AI washing" — borrowed from "greenwashing" in environmental marketing — describes the practice of companies attributing layoffs to artificial intelligence when the real drivers are financial pressures, restructuring, or margin optimization. The concept gained traction after researchers and labor economists noticed a pattern: companies announcing AI-driven layoffs frequently lacked mature, production-ready AI systems capable of replacing the roles being eliminated.

The numbers tell a stark story. AI was the stated reason for more than 55,000 layoffs in 2025, a twelve-fold increase from two years prior. Yet only 2 percent of executives surveyed said they had made large staff reductions as a result of actual AI implementation. Nearly 60 percent of hiring managers admitted they emphasize AI's role in layoffs because it is viewed more favorably than admitting financial constraints.

Even OpenAI CEO Sam Altman has acknowledged the phenomenon, stating that some companies are "AI washing" their layoffs — using AI as a scapegoat for workforce reductions they would have carried out regardless.

The Case Studies

Block: 4,000 Jobs and a 24% Stock Surge

Dorsey's cuts at Block represent the most prominent example of the AI-washing debate. The company slashed from over 10,000 to just under 6,000 employees, with Dorsey stating that "intelligence tools we're creating and using, paired with smaller and flatter teams, are enabling a new way of working which fundamentally changes what it means to build and run a company."

Critics point to several inconsistencies. Block's AI capabilities are not materially different from competitors who have not made similar cuts. The company's profitability was already strong and growing. And Dorsey's prediction that "a majority of companies will reach the same conclusion" reads more like a tech industry talking point than a data-driven workforce analysis.

Bloomberg reported that Dorsey's 4,000 job cuts aroused direct suspicions of AI washing. Josh Bersin, a prominent HR industry analyst, questioned whether Block's decision represents a genuine bellwether or simply an aggressive cost-cutting move dressed in AI rhetoric.

To their credit, Block offered competitive severance — 20 weeks minimum depending on tenure, equity vesting through May, six months of healthcare, and $5,000 per employee for devices and transition support.

Salesforce: 9,000 to 5,000 in Support

Salesforce CEO Marc Benioff's claim that agentic AI enabled the company to reduce customer support from 9,000 to 5,000 employees is harder to dismiss as pure AI washing. Salesforce sells AI-powered customer service tools as a core product line. Using their own Agentforce platform to reduce support headcount is both a cost savings and a product demonstration.

However, the reduction also coincided with broader Salesforce cost optimization that began in 2023, well before agentic AI capabilities matured. The question is not whether Salesforce's AI works — it does — but whether the AI truly replaced 4,000 jobs or whether those positions were already targets for elimination.

Ocado: 1,000 Cuts, Different Story

British online grocery company Ocado announced in late February that it would cut 1,000 roles from its 20,000-person workforce, saving approximately $150 million. CEO Tim Steiner cited completion of a "significant phase of investment in robotics and automation capabilities."

Analysts saw a different picture. Ocado's competitive advantage in warehouse automation — once considered revolutionary — has eroded as competitors used AI to build comparable systems more cheaply. Several US and Canadian clients had already cut ties and invested in their own technology. The layoffs appear driven more by competitive pressure than by AI replacing human workers.

Amazon: The Quiet Squeeze

Amazon CEO Andy Jassy told employees that white-collar roles would shrink as the company invests in AI agents. Unlike Dorsey's dramatic announcement, Jassy's approach is quieter — reducing headcount through attrition and hiring freezes rather than mass layoffs. This makes it harder to categorize as AI washing, but also harder to verify whether AI is genuinely replacing roles or whether the company is simply exercising normal headcount discipline.

The Investor Incentive Problem

The AI-washing phenomenon exists because markets reward it. A Brookings Institute researcher explained the dynamic bluntly: telling investors that AI is replacing workers is "a very investor-friendly message," while admitting financial difficulties is not.

This creates a perverse incentive structure. Companies that frame layoffs as AI-driven transformation receive stock price boosts. Companies that honestly attribute cuts to declining revenue, margin pressure, or strategic restructuring face scrutiny. The rational corporate behavior is to AI-wash every significant layoff — regardless of whether AI plays any meaningful role.

Fortune reported on this as "AI-washing and forever layoffs," noting that companies continue cutting jobs even amid rising profits. The AI narrative provides cover for what would otherwise be seen as extractive cost-cutting by profitable corporations.

The Real Displacement Is Coming

The irony of AI washing is that it obscures a genuine trend. While many current layoffs are falsely attributed to AI, actual AI-driven workforce displacement is accelerating beneath the noise.

The growing anxiety around AI job displacement reflects both the real trend and the manufactured narrative, making it difficult for workers and policymakers to calibrate their response. When 55,000 layoffs are blamed on AI but only 2 percent are genuinely AI-driven, every subsequent AI displacement announcement gets discounted — even when it represents real technological substitution.

The London anti-AI protest that drew 500 marchers demanding a global AI safety pause was fueled in part by AI-washing headlines. Protesters cannot easily distinguish between genuine displacement and corporate narrative manipulation.

Meanwhile, AI project management tools are quietly automating coordination roles across enterprises. Administrative functions face 26 percent exposure to AI automation. Call center staffing has declined 15 percent since late 2025. These are real, measurable displacements — but they happen gradually, without press releases, and without the stock-price-boosting fanfare of a Block-style announcement.

What Workers Should Watch For

The distinction between AI washing and genuine displacement matters for career planning. Workers at companies announcing AI-driven restructuring should ask specific questions:

What AI tools are being deployed? If leadership cannot name specific production systems replacing specific functions, the announcement is likely AI washing.

Are cuts targeted or broad? Genuine AI displacement affects specific roles whose functions are automated. Across-the-board percentage cuts suggest financial restructuring dressed in AI language.

Is there a retraining program? Companies genuinely transforming around AI invest in retraining affected workers for new roles. Companies AI-washing their layoffs offer severance packages and wish departing employees well.

What is the company's AI maturity? A company with years of AI investment and production deployments (like Salesforce) has more credibility than a company that mentions AI in earnings calls but has no public-facing AI products.

The Regulatory Response

The FTC is expected to issue a policy statement by March 11, 2026, describing how the FTC Act applies to AI — including when corporate AI claims may constitute deceptive practices. While the statement's primary focus is on AI product claims rather than employment practices, labor advocates are pushing for it to address AI-washing in layoff announcements.

The EU AI Act, reaching full enforcement in August 2026, includes transparency requirements that could affect how European companies attribute workforce decisions to AI systems. The UK government is also expected to publish AI-related reports by March 18 that may address the employment displacement narrative.

Whether regulators can or should police how companies explain their layoffs is an open question. But the growing gap between AI claims and AI reality — 55,000 attributed layoffs versus 2 percent genuine implementation — suggests that some form of accountability framework may be necessary to protect workers from being caught between manufactured narratives and genuine technological change.

Sources

• Built In — Did AI Take Your Job? The Truth About AI Washing
• TechCrunch — AI Layoffs or AI-Washing?
• Fortune — AI-Washing and Forever Layoffs
• Bloomberg — Jack Dorsey's 4,000 Job Cuts Arouse Suspicions of AI-Washing
• CNN Business — Block Lays Off Nearly Half Its Staff
• CNBC — Jack Dorsey Made the Loudest Case Yet That AI Is Already Replacing Jobs