Breaking
AI Eating Itself: How AI Companies Use Their Own Tools to Cut Costs ● The Skills Gap Widening: Why AI Specialists Thrive While Adjacent Roles Disappear ● Q1 2026 Layoff Deep Dive: 39,000+ Jobs Cut in Just 3 Months ● The Great AI Consolidation: How Tech Giants Are Centralizing AI Development ● The Global AI Job Divide: How Emerging Markets Are Getting Left Behind ● The Skills Gap Paradox: Why Companies Buy AI Tools But Can't Teach Workers to Use Them ● The Great Skills Gap: Why Workers Are Falling Behind in the AI Era ● This Week in AI Layoffs: The Numbers, the Narrative, and What Comes Next ● AI Triggers Mass Layoffs in 2026? Future of Tech Jobs Explained ● Big Tech companies are now racing to see who can build the best AI coworker - Sherwood NewsAI Eating Itself: How AI Companies Use Their Own Tools to Cut Costs ● The Skills Gap Widening: Why AI Specialists Thrive While Adjacent Roles Disappear ● Q1 2026 Layoff Deep Dive: 39,000+ Jobs Cut in Just 3 Months ● The Great AI Consolidation: How Tech Giants Are Centralizing AI Development ● The Global AI Job Divide: How Emerging Markets Are Getting Left Behind ● The Skills Gap Paradox: Why Companies Buy AI Tools But Can't Teach Workers to Use Them ● The Great Skills Gap: Why Workers Are Falling Behind in the AI Era ● This Week in AI Layoffs: The Numbers, the Narrative, and What Comes Next ● AI Triggers Mass Layoffs in 2026? Future of Tech Jobs Explained ● Big Tech companies are now racing to see who can build the best AI coworker - Sherwood News
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About JobGoneToAI

Our Mission

JobGoneToAI is a data-driven news and research platform that tracks AI-driven job displacement in real time. We built this site because the conversation about AI and work is often vague and anecdotal. Policymakers, workers, and employers need accurate, verifiable data to make informed decisions. Our goal is to be the definitive source for that data — every confirmed layoff, every company, every number.

Unlike general tech news aggregators, every piece of data on JobGoneToAI passes through a structured verification pipeline. We don't count rumors. We don't aggregate speculation. If a number appears in our tracker, it's backed by a source you can check yourself.

What We Track

We aggregate layoff events, restructurings, and hiring freezes that are explicitly or credibly linked to AI adoption. Each event in our tracker is verified against company announcements, SEC filings, earnings calls, or reports from major publications including TechCrunch, CNBC, BBC, and The Verge. We classify AI attribution as direct (AI explicitly cited), partial (AI is one of several factors), or implied (inferred from context). We do not count speculative or unconfirmed reports.

Beyond raw layoff counts, we also maintain the Job Risk Index, which scores occupations from 0–100 based on AI capability mapping, labor market signals, and displacement trends. Workers can use this tool to benchmark their own exposure and find reskilling paths.

Data Methodology

Our data pipeline runs daily. Articles from configured sources are fetched, processed with AI assistance for summarization and categorization, and then manually or programmatically matched to layoff events. We link each event to at least one source article so you can verify the numbers yourself. Our Job Risk Index scores roles 0–100 using six pillars:

  • AI Capability Mapping — Which tasks current AI systems can perform today
  • Labor Market Signals — Job posting volume, wage trends, time-to-fill
  • Displacement Event Tracking — Confirmed AI-attributed layoffs from our tracker
  • Human Advantage Assessment — Physical presence, empathy, creative judgment requirements
  • Task Decomposition — Percentage of role time on automatable vs. complex tasks
  • Trend & Momentum — Speed of AI adoption in each domain

For full methodology details and per-role scores, see our Job Risk Index page.

Editorial Philosophy

JobGoneToAI occupies a specific editorial niche: we combine automated data collection with human editorial judgment and original analysis. For each report in our database, we provide an AI-generated summary and key takeaway alongside the full source text, contextual data from our tracker (companies affected, job counts, attribution level), and an editorial "Why This Matters" section that connects individual events to broader workforce trends.

We always link to the original source publication and encourage readers to verify our data. Our value proposition is not in being first — it's in being comprehensive, verified, and contextualized. We believe that understanding AI's impact on employment requires aggregated data, not isolated anecdotes.

Our Team

JobGoneToAI is maintained by a team of independent researchers and engineers who combine backgrounds in data journalism, software engineering, and labor economics. We operate independently and are not affiliated with any employer, AI company, or advocacy organization.

Our data pipeline is built with Next.js, Supabase, and n8n automation. Source articles are ingested daily from over a dozen configured publications. AI-assisted summarization and categorization accelerate our workflow, but every tracker entry is reviewed for accuracy before publication.

How to Cite Us

When referencing our data, please cite: JobGoneToAI (https://jobgonetoai.com), [specific data point], accessed [date]. Example: "According to JobGoneToAI, 89,000+ jobs have been displaced by AI as of February 2026, based on verified company announcements."

Contact

We welcome corrections, tips, media inquiries, and data partnership proposals. If you spot an error in our tracker or have a verified displacement event to report, please reach out:

For media inquiries, please include your publication name, deadline, and specific data points you're interested in. We typically respond within 24 hours.