Is AI actually replacing tech workers or is ‘AI washing’ just hiding the real truth about layoffs?

Why are companies blaming AI for firing people when currency gaps and labor costs are the real drivers?

Stop falling for “AI took my job” headlines. See how currency gaps and “AI washing” drive tech layoffs and what it means for H-1B visas. Get the real story.

Key Takeaways

What: Tech leaders are increasingly rebranding mass layoffs as “AI transformations”.
Why: This “AI washing” often masks underlying financial pressures like rising labor costs and currency fluctuations.
How: Companies automate middle-management “measurer” roles and relocate high-cost positions to cheaper regions while citing technological efficiency to satisfy investors.

The current narrative surrounding tech layoffs follows a predictable script: AI has arrived, it’s smarter than us, and companies are thinning the herd to make room for the algorithms. But if you look at the ledger instead of the press releases, a different story emerges. While 99% of CEOs say they expect AI-driven layoffs within two years, the immediate reality is often less about silicon and more about silver.

The Currency Catalyst: When “AI Transformation” is Actually “Exchange Rate Arbitrage”

The most significant factor being ignored in the current layoff wave isn’t a new software update—it’s the “shekel-dollar” gap. In tech hubs like Israel, which accounts for 20% of the country’s GDP, salaries have surged by 15% to 20% in dollar terms simply because the local currency strengthened. For a multinational firm, an Israeli engineer who was already well-paid has suddenly become more expensive than a peer in Silicon Valley.

This has birthed a trend known as “AI washing”. Companies like Intuit have announced significant staff cuts, officially citing a pivot toward artificial intelligence. However, internal reports and industry advisors suggest the “thing that cannot be spoken of” is actually the rising cost of labor. By branding these moves as an AI transition, companies signal to investors that they are lean and forward-thinking, while they quietly move development groups to lower-cost regions like India, Portugal, or Poland. It is often a matter of simple math: a skilled programmer in Portugal costs roughly $100,000 a year, compared to $170,000 for the same role in Israel.

The Human Toll: The 60-Day Countdown

While executives talk about “efficiency,” thousands of high-skilled workers are facing a personal crisis that has nothing to do with their coding ability. For Indian professionals on H-1B visas at firms like Meta and Amazon, a layoff notice is a ticking clock. They have exactly 60 days to find a new sponsor or leave the country.

This isn’t just about losing a paycheck. It’s about families in Seattle or Bellevue with eight months left on an apartment lease and children in the third grade who suddenly find their legal status in limbo. Despite Indians accounting for over 280,000 approved H-1B petitions in 2025, the safety net is non-existent. Some attempt to switch to B-2 visitor visas to buy another six months, but immigration experts warn that these approvals are getting harder to secure.

The “Lazy” Narrative: Jensen Huang’s Critique

The idea that AI is currently productive enough to replace mass amounts of workers is facing pushback from an unlikely source: Nvidia CEO Jensen Huang. As the head of the company providing the hardware for this shift, Huang calls the layoff-to-AI link “too lazy” and “irresponsible”.

His logic is straightforward: generative AI tools have only been widely useful for a short period. How, he asks, could companies be laying people off for the past two years because of a technology that only became productive six months ago?. Huang suggests that some executives are blaming AI simply “to sound smart” while masking broader financial pressures.

Redesigning the Org Chart: Builders vs. Measurers

While the total replacement of humans is a myth, the type of human being hired is changing. Cloudflare CEO Matthew Prince recently noted that their layoffs specifically targeted “measurers”—middle management, finance, legal, and internal auditing.

The strategy is to lean on “agentic AI”—systems that can independently make decisions—to handle the objective detail and precision required for organizational measurement. In this new structure, “builders” (engineers) and “sellers” (sales teams) remain the priority, while the layers of management that used to monitor them are being automated out of existence.

The Hidden Costs of Going “All In”

The final irony of the AI transition is that it isn’t always a cost-saver. Wix is currently cutting 20% of its workforce while its stock has plummeted. While they acquired a “vibe coding” platform called Base44 to stay competitive, the move has been a double-edged sword.

The new AI tools are growing fast, but they require massive computing power and aggressive marketing spend. Wix saw its operating expenses jump to 35% of its revenue, leading to a $57.5 million loss in a single quarter. For many firms, the “efficiency” of AI is currently being offset by the staggering price of the infrastructure needed to run it.

What to Watch For

To see through the rhetoric, observers should look past the press releases and monitor specific data points:

• Productivity Metrics: Are companies actually showing a measured increase in output per employee, or are they just reporting lower headcounts?.
• Ghost Jobs: Are job postings remaining live on company websites to signal stability while hiring is secretly frozen?.
• Entry-Level Hiring: Since most anticipated cuts focus on early-career roles, a sustained drop in junior hiring will be the first real sign of permanent structural change.

The shift we are seeing is real, but it is rarely as simple as a machine taking a desk. It is a complex mix of currency fluctuations, immigration policy, and high-stakes financial rebranding.