U.S. tech sector cuts 165,925 jobs in Jan-Sept, up 54% year-on-year
Layoffs citing AI exceed 120,000, fueling 'AI washing' controversy over cost-cutting
Major U.S. technology companies are aggressively pouring capital into artificial intelligence while scaling back headcounts in traditional divisions. Tech sector layoffs in the U.S. have surpassed 160,000 for the first nine months of the year.
Following Big Tech giants like Microsoft and Meta, media conglomerates including Disney and NBCUniversal have recently initiated workforce restructuring. As AI rapidly penetrates the workplace, a debate is brewing over "AI washing," a phenomenon where companies use the AI transition as a convenient narrative to mask routine cost-cutting or conventional restructuring.
According to U.S. employment firm Challenger, Gray & Christmas, planned layoffs in the U.S. technology sector reached 165,925 between January and September, a 54% increase compared to the same period last year.
This contrasts sharply with a 39% decline in layoffs across corporate America overall during the same timeframe. The tech sector accounted for 29% of all announced job cuts, the highest of any industry.
Big Tech Expands AI Investments While Shrinking Legacy Operations
As the race for AI dominance intensifies, internal allocations of capital and talent are shifting. While spending on data centers, AI semiconductors, and cloud infrastructure ramps up, budgets and headcounts in legacy operations are being trimmed.
In July, Microsoft cut approximately 4,800 jobs, or about 2.1% of its workforce. While the cuts affected commercial divisions and the Xbox business, the company drew a distinction between these moves and direct job displacement by AI.
Microsoft explained that as AI automates repetitive tasks, operational workflows and required skill sets are evolving. Over the past year, the company has redeployed more than 4,000 employees into high-priority new roles, simultaneously trimming headcount while shifting existing staff to areas of critical need.
Meta similarly reduced its headcount by roughly 10% in May. Some divisions explored operating teams with fewer personnel by leveraging AI.
However, workforce reductions have not translated directly into immediate productivity gains. Although deep staffing cuts were discussed for several teams, plans for additional layoffs were shelved as concerns surfaced regarding AI reliability, security, and tangible productivity output.
Regardless of internal reorganization, AI investments are expanding. Meta is projected to pour over $130 billion into AI infrastructure and semiconductors this year. While it cannot be assumed that every dollar saved from downsizing legacy operations is funneled directly into AI, the gravitational pull of capital and labor toward AI is unmistakable.
"Is It Really Because of AI?" The Growing 'AI Washing' Debate
An increasing number of layoff announcements explicitly cite AI as a primary driver. According to Challenger, layoffs attributed to AI across all U.S. industries reached 120,136 between January and September, representing about 21% of the total.
However, this does not mean AI has directly replaced 120,000 jobs; rather, it is an aggregate of instances where companies listed AI as a factor in their downsizing rationales.
This dynamic has given rise to the term "AI washing"—the practice of packaging routine cost-cutting, sluggish earnings, or legacy business restructuring as productivity enhancements or operational efficiencies driven by AI adoption.
According to research firm Gartner, less than 1% of workforce reductions in 2025 will be directly linked to productivity gains achieved through AI. Gartner's analysis suggests that companies often exaggerate the actual productivity impact of AI during restructuring processes.
Paul Osterman, professor emeritus at the MIT Sloan School of Management, highlighted this trend in an interview with Fortune. "AI is the perfect excuse to justify large-scale layoffs," he noted, explaining that it has become easier for corporations to attribute workforce reductions to sweeping technological shifts rather than executive management decisions.
While AI is undeniably altering work processes and staffing requirements, equating corporate announcements of "AI-driven layoffs" with actual jobs directly displaced by the technology remains a stretch.
Disney Joins Layoff Wave as Media Industry Restructures
Workforce reorganization is also sweeping the media sector. On the 29th of last month, Walt Disney laid off hundreds of employees, primarily in human resources and technology. This follows a previous reduction of approximately 1,000 jobs last April.
The company is also restructuring its television business. Divisions including ABC Entertainment, 20th Television, Hulu Originals, and Freeform could be affected, with speculation pointing to the potential for hundreds of additional layoffs. The core objective is to pivot the organizational structure away from traditional TV brands toward a streaming-centric customer model.
NBCUniversal also initiated workforce reductions within its global streaming technology organization on the 1st.
Yet, these media industry cuts cannot be broadly categorized as AI-driven displacement. For Disney, the direct catalyst is the contraction of traditional television and a strategic pivot toward streaming-focused operations.
The tech sector presents a similar picture. While AI is absorbing certain functions, cost-cutting, business model realignments, and shifting investment priorities are occurring simultaneously. Although layoffs citing AI are multiplying rapidly, it remains difficult to quantify how many of those jobs would have been preserved in the absence of AI.
What has become clear, however, is that corporate criteria for deploying human and financial capital are shifting. As companies continually scale up AI investments while shrinking legacy operations, AI is emerging not only as a technology that creates new roles, but as a benchmark by which the necessity of existing staff and organizational structures is re-evaluated.
