Companies have eliminated just over 117,000 jobs due to artificial intelligence so far this year, resulting in an estimated $8.5 billion in annual wage losses, according to a new tracker published this month by the Center for AI Safety. The Wage Loss Dashboard, which was updated in October to include September data, monitors job cuts attributed to AI since January 2026 and calculates their economic impact on families and local communities. The tool reveals how automation-driven layoffs are creating uneven financial burdens across different states.
The dashboard calculates wage losses by multiplying AI-attributed job cuts by the average annual salary in each state. When divided by population, the estimated average wage loss nationwide comes to $25 per person annually. But the impact varies sharply by location: California registers $56 per person after absorbing just over 27,000 layoffs tied to AI, while Alaska shows only 138 job losses and $14 per person. These state-level figures aren't direct observations of AI layoffs, however. The Center for AI Safety applies each month's national share of cuts citing AI to that state's announced job cuts, using data from Challenger, Gray, and Christmas monthly reports, Bureau of Labor Statistics wage data, and U.S. Census Bureau population estimates. In 2025, companies publicly linked over 54,000 job cuts to artificial intelligence, representing one in 20 layoffs from last year.
The researchers behind the project explain that the monetary impact extends beyond individual paychecks. "One person's layoff means less income for every business they support," they write. "Multiply that effect across thousands of workers in multiple industries, and you start to see the real economic weight of AI displacement." According to the dashboard, wage estimates "begin to show what those cuts can mean for households and local economies," with ripple effects touching grocery stores, small businesses, and rent. The Center for AI Safety notes that AI-attributed job cuts aren't distributed evenly—states with large tech and media sectors face greater impact. The dashboard deliberately uses a "moderate standard" for counting layoffs, capturing the broad pattern of AI-justified workforce reductions without requiring executives to explicitly state they replaced teams with AI.
The report acknowledges important gaps: the dashboard doesn't account for jobs created by AI, productivity gains, re-employment, or secondary economic effects, partly because experts lack consensus on whether artificial intelligence will stimulate the economy or outpace job displacement. The tracker also reveals how rapidly AI agents are evolving at remote work tasks. When the Remote Labor Index benchmark launched, the best AI agent completed just 2.5% of projects at professional quality; eight months later, that figure has climbed to 15.8%, doubling every 3.7 months. The Center for AI Safety emphasizes it's tracking what companies themselves say about layoffs, not delivering definitive proof of AI replacement, and the dashboard aims to make available data more accessible rather than shame specific industries for their automation choices.
The goal is to provide workers, communities, and policymakers with concrete information instead of speculation as they respond to AI's economic footprint. "AI is a technology being adopted by companies for many reasons," the Center for AI Safety writes. "Our goal is to make the costs of that adoption visible, so workers, communities, and policymakers can respond with real information instead of guesses." Recent laws in states including California now prevent companies from fully automating firing and other disciplinary decisions with AI systems, though legislation can't explicitly stop firms from choosing AI over human hiring in certain cases. The dashboard translates abstract layoff statistics into dollar-and-cent consequences that show up in everyday expenses like a tank of gas. By quantifying the financial toll on American families rather than just counting jobs lost, the tracker offers a clearer picture of how automation is reshaping local economies right now—even as the long-term balance between displacement and opportunity remains uncertain. Companies that frame workforce reductions around efficiency and innovation may overlook how those decisions concentrate risk in regions least equipped to absorb sudden income shocks.