The AI Job Loss Dashboard tracks every workforce reduction linked to artificial intelligence, automation, or machine learning. Companies report these cuts in official statements, SEC filings, or public comments. The tool classifies layoffs as EXPLICIT, BLAMED, or MIXED, helping analysts separate AI‑driven churn from broader restructuring.

Data entry relies on three metrics: the number of positions eliminated, the cumulative count since January 1 2025, and the percentage of the current workforce affected. Midpoints fill gaps when companies provide ranges, while estimates marked with a tilde reflect unverified reporting from outlets like AP or Reuters to maintain transparency in the evolving labor market today.

The dashboard’s granularity lets researchers quantify AI’s impact across sectors. By aggregating explicit and blamed layoffs, users can compare how automation reshapes software, manufacturing, and services. The tool also highlights mixed cases, showing that AI often coexists with cost‑cutting or market shifts, underscoring the complexity of modern workforce decisions for policymakers and HR strategists alike.

Beyond academic interest, the dashboard informs regulators and investors about the speed of AI adoption. As companies disclose layoffs tied to new models, stakeholders can anticipate talent shortages and adjust compensation strategies. Ultimately, the platform offers a real‑time barometer of how quickly automation reshapes career trajectories in the tech industry for both and future professionals.