Is AI-washing Just a Smokescreen? Understanding the 2025 Wave of 'Forever Layoffs'

In 2025, the phenomenon of widespread job cuts amidst rising corporate profits puzzled many as businesses continued to attribute these layoffs to advancements in artificial intelligence. Despite the narrative that AI automation is primarily responsible, a deeper examination indicates that only a small fraction of these job losses can be directly linked to AI technologies. According to this,¹ U.S. companies announced 1.2 million job cuts that year, but only 55,000 of these were attributed to AI, representing a mere 4.5%.

The term "AI‑washing" has emerged to describe how companies exploit the AI narrative to rationalize layoffs that might not necessarily be driven by technological advancements. This practice includes announcing cuts under the guise of leveraging future AI efficiencies, which may not be realized. The ¹ further suggests that companies benefit from framing these layoffs as strategic, thereby preserving investor confidence despite the lack of actual technological deployment.

These layoffs are often justified by claims of impending AI efficiencies, yet many companies engage in such practices while reporting strong profits driven by AI‑related improvements in their operations. This situation was exemplified by firms like ASML, which, as detailed in the,¹ announced major staff reductions under the pretense of 'trimming the bloat', even as they secured significant earnings.

Furthermore, these layoffs have profound psychological effects on workers. The notion of 'forever layoffs'—a situation characterized by continual job reduction cycles—instills a pervasive sense of insecurity in the workforce. This perpetual state of job insecurity not only dampens employee morale but also erodes the foundational culture within organizations. Workers are haunted by the constant threat of job loss, which the ¹ identifies as a significant contributor to heightened anxiety and stress in the workplace.

Despite AI accounting for only a fraction of the layoffs, its potential implications loom large, with a survey showing that 71% of Americans perceive AI as a threat capable of causing permanent job displacement. Interestingly, about 40% of employers are preparing for workforce reductions spurred by AI. This pervasive anxiety is indicative of the broader societal concerns surrounding the impact of AI on employment, as explored in the detailed discussions within the.¹

In 2025, U.S. companies announced a staggering 1.2 million job cuts, almost doubling the number from 2024. However, AI was directly cited for only a small fraction of these layoffs—about 55,000 or 4.5% according to a detailed analysis. This raises questions about the role of AI in these decisions and whether companies might be overstating AI's impact to mask other motives for job reductions. The contrast between the actual AI‑induced layoffs and other factors suggests that many of these job losses may have more to do with traditional financial and operational restructuring rather than the direct influence of AI innovations.

The corporate practice of 'AI‑washing,' where companies cite artificial intelligence vaguely to justify layoffs, has garnered significant attention. This concept suggests that some firms might be anticipating future efficiencies from AI that are yet to be realized, using it as a pretext for reducing their workforce. This can particularly be seen in circumstances where companies report strong financial results yet still choose to cut jobs, like ASML, which framed its large‑scale redundancies as efforts to 'trim bloat' rather than as a direct response to financial difficulties. It appears that AI‑washing serves as a convenient narrative that can distract from other underlying reasons like overhiring and economic adjustments.

The psychological impact of ongoing or 'forever layoffs' in the tech sector, largely attributed to AI improvements, continues to weigh heavily on employees. With continuous announcements of job cuts rather than one‑off reductions, employees face prolonged uncertainty that negatively affects morale. A significant portion of the workforce, about 71% of Americans, express concern that AI will lead to permanent job displacement. This anxiety is exacerbated by the reality that about 40% of employers expect workforce reductions in anticipation of AI automation, despite the relatively small percentage of current job losses attributed directly to AI.

At companies like ASML, the juxtaposition of reporting substantial profits with concurrent announcements of major layoffs suggests a structural rather than crisis‑driven motivation behind the job cuts. By labeling these changes as necessary restructures to boost efficiency and productivity, these companies may also be signaling value to investors and a commitment to future‑proofing their operations. Such strategic decisions underscore a trend where layoffs occur not necessarily due to immediate financial distress but as a calculated move aligned with maintaining a competitive edge through streamlined operations.

The disconnect between public assertions of AI‑driven job cuts and actual fiscal necessity might also reflect broader economic themes where AI is used as a veneer to justify ongoing operational overhauls. The nuanced interplay between fearing AI‑related job displacement and the somewhat limited tangible impact of AI on the job market highlights a critical tension. Companies' public narratives about AI can sometimes magnify worker anxieties disproportionally, thereby shaping a workforce that is increasingly wary of AI's disruptive promises.¹

The role of AI in the domain of job loss has become a contentious topic, raising questions about the true impact of automation on employment. A striking observation from 2025 is that although U.S. companies declared a staggering 1.2 million job cuts, AI was directly linked to only 55,000 of these reductions, accounting for a mere 4.5% of the total layoffs.¹ This discrepancy suggests that many job losses attributed to AI might actually be the result of other corporate strategies or economic factors.

In the face of rising profits, companies have been accused of indulging in 'AI‑washing,' a term coined to describe the practice of justifying layoffs through vague references to AI. In reality, these layoffs might stem from traditional business cycles, poor management decisions, or speculative moves anticipating AI‑driven efficiency that has yet to materialize. This practice not only affects those laid off but also generates anxiety among the remaining workforce, casting a shadow over AI's potential benefits.¹

Moreover, the timing of layoffs has raised eyebrows, as some companies like ASML cut back their workforce even while reporting strong earnings fueled by AI‑driven growth. This juxtaposition of profitable outcomes and reduced staff might indicate that these companies view layoffs as a strategic move to trim perceived excess rather than a necessity driven by AI efficiency gains.¹ This strategic paradox leaves many questioning the real motivations behind such workforce reductions.

The narrative surrounding AI‑related job anxiety is gripping, with surveys indicating that 71% of Americans fear permanent displacement due to AI—a sentiment perhaps amplified by companies' publicized faith in AI's transformative power. Despite the limited current job loss figures directly attributed to AI, the anxiety and psychological impact on workers are palpable, creating a climate of uncertainty and fear about the job market's future.¹

The psychological impact of widespread layoffs, often framed under the guise of AI‑driven decisions, can be profound on workers. These repeated job cuts, labeled as 'forever layoffs,' create an environment of perpetual uncertainty, anxiety, and fear among employees. This ongoing instability erodes the foundational trust within companies, and diminishes morale, leading to increased stress and decreased productivity. According to a survey, 71% of Americans express concern over potential AI‑driven job losses, reflecting a significant fear of permanent displacement in the workforce. Such conditions not only affect individual mental health but reverberate across family units and communities, magnifying the mental health burden across a broader populace. For more details on how AI narratives are affecting employment, refer to.¹

Public reactions to the phenomenon of AI‑washing, where companies ostensibly use artificial intelligence as a scapegoat for layoffs primarily driven by other economic motives, are varied and energetic. On social media platforms such as X (formerly Twitter), users often express skepticism, frequently tagging the practice as a 'scam' or a superficial corporate spin. For instance, posts deriding companies like Amazon and ASML for citing AI to justify job cuts while posting large profits have gained significant traction. A particular thread, which garnered over 10,000 likes, suggested that executives are capitalizing on AI narratives to preserve shareholder profits rather than tackling genuine technological changes. Such sentiments echo analyses from institutions like Brookings, that criticize the overuse of AI as a convenient excuse to sidestep accountability during layoffs.¹

Moreover, conversations on platforms like LinkedIn reflect a more professional frustration, with many tech workers sharing personal experiences of nebulous AI initiatives seemingly gaining priority over tangible workflow improvements. These voices include dismissed employees lamenting about "ghost AI projects" that are reported to replace jobs effectively but result in superficial applications with minimal impact. Additionally, a survey shared by a former Pinterest employee, revealing that 82% of respondents viewed layoffs as predominantly driven by cost‑cutting under the guise of innovation, underscores the pervasive doubt permeating professional networks.²

On platforms like Reddit, particularly in subreddits devoted to technology and economics discussions, the debates are lively and critical. Threads often question the sincerity of AI's role in job displacement, pointing to economic cycles and over‑hiring blunders. High engagement posts label current job cuts as "payback from pandemic‑era overstaffings" or straightforward shareholder appeasements cloaked in technological pretenses. Discussions emphasize the notion that 'forever layoffs' are demoralizing, creating a toxic work culture vastly differing from single‑event cuts.³

In the comment sections of news outlets such as Fortune and TechCrunch, readers express palpable anger over what is perceived as "AI hype" being used to incite fear among workers. Many comments vehemently argue that the reduction in positions by profitable companies using AI as a justification is merely greed‑laden strategy rather than evidence of genuine technological evolution. These narratives often reference research and data pointing to modest actual job displacement by AI, highlighting a deep divide between public perception and actions driven by corporate strategy.⁴

The economic implications of the rising trend in AI‑related layoffs—or 'AI‑washing'—are profound, as companies often frame these decisions as technologically driven. This narrative supports a 'jobless expansion,' a scenario where the economy grows but job creation does not match up. In 2025, the U.S. experienced its weakest job expansion since 2020 despite economic growth, with only 584,000 jobs added, signaling potential long‑term stagnation. According to Fortune, anticipatory layoffs based on AI's unproven potential might suppress hiring further, drop job openings, and stifle wage growth. As a result, consumer spending could decline, intensifying the economic challenges.

Socially, the pervasive impact of 'forever layoffs'—a continuous cycle of staff cuts—raises considerable issues for worker morale and cultural cohesion within companies. The fear of AI causing permanent job displacement affects 71% of workers, despite AI accounting for only 4.5% of the layoffs in 2025, as reported by Fortune. This discrepancy between fear and reality suggests a growing psychological toll, potentially leading to a workforce that is increasingly anxious and demoralized. Moreover, the uneven distribution of job losses exacerbates inequality, especially affecting young workers and entry‑level employees.

The "Future Predictions for AI and Employment" section explores how the landscape of job markets is expected to transform with the ongoing advancements in artificial intelligence. Many industry experts anticipate that AI will create as many jobs as it displaces, resulting in a balanced effect on overall employment. Despite this potential equilibrium, workers remain anxious about the uncertainty and the pace at which these changes might occur.

Research indicates that the narrative around AI's role in job displacement is often exaggerated. According to a report cited in,¹ much of the 2025 layoffs were attributed to reasons other than AI. The practice of AI‑washing—using AI as a catch‑all justification for layoffs—has gained traction, potentially skewing public perception about AI's real impact on job markets.

The possibility of AI‑driven "forever layoffs" raises questions about the psychological and economic effects of such employment practices. These continuing waves of job cuts, often under the guise of AI automation, might foster long‑term instability and anxiety among workers. This phenomenon, as highlighted in,¹ underscores the need for transparent corporate communication and ethical considerations in workforce management.

Predictions for the future suggest that AI may reshape roles rather than entirely eliminating them, emphasizing the importance of upskilling in the evolving job market. As companies continue to adjust to technological advancements, the demand for new skills will likely increase, creating opportunities for workers to engage in continuous learning and adaptation. This emerging dynamic presents both a challenge and an opportunity for industries heavily influenced by AI.

While AI is projected to enhance certain job functions and drive productivity, concerns linger about its socio‑economic impacts. A key point of consideration is whether AI can deliver the massive productivity gains promised by its advocates, a topic discussed in‑depth by several studies and articles, including insights provided by.¹ As AI continues to integrate into workplace operations, its role will likely provoke ongoing debate among policymakers, companies, and the public.