Artificial intelligence is increasingly being linked to workforce reductions as companies adopt automation tools and AI agents to handle a wider range of tasks. According to data compiled by The Alliance for Secure AI, a nonprofit focused on educating the public about the implications of AI, 90,450 layoffs have been tied to AI since January 1, 2025.
The organization says its dataset tracks layoff announcements in which AI is either explicitly cited by companies or credibly identified by reporting and sources as a material factor behind the cuts. The figures include layoffs connected to major firms such as Atlassian, Amazon, Morgan Stanley, Crypto.com, and Block. This means the total does not only cover cases where AI was the sole cause, but also situations where it played an important role in broader restructuring decisions.
A warning sign for the labor market
Brendan Steinhauser, CEO of The Alliance for Secure AI, described the numbers as both a warning and a call to action. The data is part of a dashboard launched by the nonprofit to track the employment impact of AI adoption. In his view, policymakers are not yet treating the issue with the urgency it deserves.
Steinhauser argued that AI is already shrinking the labor force in visible ways, affecting both blue-collar and white-collar roles. He warned that governments do not yet have clear solutions to ensure workers and families can continue to support themselves in an era of advanced AI systems. His remarks frame the issue not as a distant possibility, but as a present-day structural challenge.
Why the number may keep rising
The reported total of 90,450 AI-linked layoffs may only represent the early stages of a broader shift. As businesses continue to experiment with AI copilots, autonomous agents, and machine-led workflows, pressure on human roles could intensify further. The Alliance for Secure AI suggests that current trends point to continued growth in automation-related job losses over the near term.
That concern is echoed by prominent voices in the AI industry. Anthropic co-founder Dario Amodei has warned of what he described as a potential labor “bloodbath,” arguing that AI could eliminate half of all entry-level white-collar jobs within the next five years. While this is a forward-looking projection rather than a measured outcome, it reinforces the broader anxiety around how quickly AI may reshape professional employment.
Research points to wider economic impact
Academic research cited in the report adds another layer to the debate. An MIT study released in November found that more than 11% of the U.S. labor market could be replaced by AI. The same research estimated that this shift could erase over $1 trillion in wages across white-collar sectors, including finance, healthcare, and professional services.
Those findings suggest the implications extend beyond headline layoff numbers. If a meaningful share of tasks in knowledge-based industries can be automated, the impact may reach hiring pipelines, wage growth, promotion paths, and the long-term value of entry-level roles. In that sense, AI-driven displacement is not only a jobs story, but also a productivity, income distribution, and social policy story.
How the data should be interpreted
The layoff tracker’s methodology is important to understanding the number. The Alliance for Secure AI includes cases where AI is explicitly named as a reason for job reductions, as well as cases where it is considered a credible contributing factor. That approach broadens the scope of the dataset and captures the reality that workforce cuts are often driven by multiple forces at once, including cost control, restructuring, and technology deployment.
At the same time, the figures highlight a clear directional trend: AI is no longer just a tool for augmentation, but increasingly a rationale for reducing headcount. Even where AI is not the sole explanation, it is becoming part of the economic logic companies use when redesigning operations.
Policy debate likely to intensify
The latest data is likely to intensify calls for retraining, reskilling, and public policy responses. Labor advocates have argued that lawmakers are not yet prepared for the speed or scale of AI-related disruption. As more companies integrate AI into customer service, software development, analysis, and administrative work, the challenge for policymakers may shift from encouraging innovation to managing its labor consequences.
For now, the headline figure of 90,450 AI-linked layoffs since 2025 serves as one of the clearest markers yet that AI’s impact on employment is already being felt. Whether governments, businesses, and workers can adapt in time remains an open question, but the debate is moving rapidly from theory to measurable economic reality.