Artificial intelligence is increasingly moving from a productivity tool to a direct driver of workforce restructuring. According to data compiled by The Alliance for Secure AI, a nonprofit focused on educating the public about the implications of AI, layoffs linked to artificial intelligence have reached 90,450 since January 1, 2025.
The figures reflect a growing trend in which companies rely more heavily on AI systems and agents to perform tasks previously handled by human workers. The organization says its tracker includes layoff announcements where AI is either explicitly cited or credibly identified as a material factor. That methodology captures not only direct substitution by AI, but also broader restructuring decisions in which automation plays an important role.
Layoff Tracker Highlights Broadening Impact
The data cited by the nonprofit covers companies such as Atlassian, Amazon, Morgan Stanley, Crypto.com, and Block. The inclusion of firms from technology, finance, and crypto-related sectors suggests that AI-driven workforce pressure is not limited to one corner of the economy. Instead, it appears to be spreading across industries where automation can be integrated into customer service, operations, research, analysis, and administrative workflows.
Importantly, the organization does not claim that every job cut in its database was caused solely by AI. In some reported cases, AI is one among several factors contributing to layoffs. Still, by including situations in which AI is a meaningful element of the decision, the tracker aims to capture the broader labor-market effect of automation as companies reshape staffing models around new capabilities.
The figures are part of a dashboard launched by the organization as both a public warning and a policy prompt. In its view, AI is no longer a hypothetical labor issue. It is already influencing hiring, staffing, and cost-cutting decisions in real time.
Calls for Political and Policy Response
Brendan Steinhauser, CEO of The Alliance for Secure AI, has framed the numbers as evidence that policymakers are underestimating the speed and scale of the transition. He argued that politicians are not treating the erosion of the labor force with the seriousness it deserves, even as both blue-collar and white-collar jobs begin to face replacement pressure from AI systems.
His concern is not limited to current layoffs. He also pointed to the absence of clear solutions to help workers and families maintain economic security in an era of advanced AI. That warning reflects a broader debate now unfolding across business and government: if AI can displace labor faster than workers can be retrained, then the issue becomes not just one of innovation, but of social and economic stability.
The article stops short of offering specific policy prescriptions, but the message from the nonprofit is clear. The organization believes the current trajectory demands action to preserve employment opportunities and prepare workers for a labor market that may be fundamentally restructured by machine intelligence.
Warnings From Industry and Academia
The outlook presented alongside the layoff data is sobering. Anthropic co-founder Dario Amodei has warned of what he described as a coming labor “bloodbath,” saying that AI could eliminate half of all white-collar entry-level jobs over the next five years. That forecast underscores concerns that the earliest stages of career development may be especially vulnerable, as entry-level roles often involve repetitive, document-heavy, or process-driven tasks that are increasingly within AI’s reach.
Academic research cited in the report points in the same direction. An MIT study released in November found that more than 11% of the U.S. labor market could be replaced by AI. The study also estimated that this shift could erase more than $1 trillion in wages across white-collar sectors including finance, healthcare, and professional services.
Taken together, those projections suggest the current tally of 90,450 layoffs may be an early indicator rather than a peak. If AI adoption continues to expand and businesses keep prioritizing efficiency gains, the pressure on labor markets could intensify in the near term.
Why the Crypto Sector Is Part of the Story
For digital-asset and crypto-related companies, the inclusion of Crypto.com in the tracker is notable. The crypto industry has long embraced automation, data-driven decision-making, and lean operational structures. As AI tools become more capable, companies in the sector may have even stronger incentives to automate customer support, compliance workflows, internal analysis, and other back-office functions.
That does not necessarily mean every AI deployment will result in direct job losses. But it does mean crypto firms are participating in the same structural shift seen across the wider digital economy: replacing or reducing certain categories of labor while increasing reliance on software-driven systems. For investors, employees, and regulators watching the sector, that trend adds a labor dimension to the existing conversation around efficiency, innovation, and competition.
A Growing Debate Over Reskilling and Transition
The report also adds momentum to an argument that is becoming harder to ignore: if AI adoption is accelerating, then workforce adaptation must accelerate as well. The source material notes that concerns over job loss are increasingly tied to calls for retraining, reskilling, and government involvement. These themes have become central to the AI labor debate because they address the gap between what technology can replace today and what displaced workers can realistically transition into tomorrow.
At the heart of the issue is timing. Companies can often adopt automation quickly once the tools are effective enough. Worker retraining, however, is slower, more expensive, and dependent on education systems, corporate investment, and public policy. That mismatch may become one of the defining economic challenges of the AI era.
For now, the number 90,450 serves as a concrete data point in a debate that is often discussed in abstractions. Whether future totals rise gradually or sharply, the direction of travel is becoming clearer: AI is not only changing how companies operate, but also who remains on the payroll as that transformation unfolds.