Most of what circulates about AI and jobs is speculation, some of it careful and well-researched, some of it not. The Stanford Canaries Dashboard is different: it is real, measured payroll data updated monthly, not a scenario or a forecast, and it is one of the few sources that can actually tell you whether AI-related job disruption is showing up yet, and if so, where.<\/p>\n\n\n\n
The Stanford Canaries Dashboard<\/a> was built by the Stanford Digital Economy Lab in collaboration with ADP Research, led by economist Erik Brynjolfsson along with researchers Bharat Chandar and Ruyu Chen. It draws on real payroll records from ADP, the largest payroll processing firm in the country, covering roughly 25,000 firms and 4.6 million workers across more than 730 distinct occupations.<\/p>\n\n\n\n This guide breaks down what the Stanford Canaries Dashboard actually measures, what it has found so far, and what it means for your own job search, especially if you are early in your career or working in a role with high exposure to AI tools.<\/p>\n\n\n\n Speculative scenarios like AI 2027<\/a> and AI 2040<\/a> describe what might happen. The Stanford Canaries Dashboard is one of the better tools for checking which parts of those scenarios are actually showing up in real employment data right now.<\/p>\n\n\n\n