About

AI Layoffs

Transparent, data-driven insights into how AI is reshaping the workforce.

What is this?

AI Layoffs is an automated platform that monitors and tracks layoffs related to artificial intelligence and automation across industries worldwide. Our goal is to provide transparent, data-driven insights into how AI is reshaping the workforce.

How it works

Our data pipeline runs daily, automatically scanning news sources for reports of AI-related layoffs. We use AI-powered extraction to identify key details like the company name, number of affected employees, and the connection to artificial intelligence. Each event is deduplicated and verified before being published.

Data sources

We aggregate data from public news sources including major technology publications, business news outlets, and press releases. All source articles are linked from each event entry for transparency.

Methodology

  • News articles are fetched from verified news sources daily
  • AI extraction identifies company, headcount, date, reason, and AI-relatedness with a confidence score
  • Events below a confidence threshold are flagged for review rather than auto-published
  • Deduplication prevents the same layoff event from being counted multiple times across different news sources

Limitations

This tracker relies on publicly reported layoffs. Not all workforce reductions are reported in the press, and some reported numbers may be estimates. The AI-relatedness classification is based on available reporting and may not capture all nuances of why layoffs occurred.

FAQ

Frequently Asked Questions

What counts as an “AI-related” layoff?+

We include layoffs where AI or automation is a primary, stated driver of the workforce reduction. This includes companies that explicitly cite AI adoption, automation of roles, or a strategic pivot to AI as the reason for cutting jobs.

We do not include layoffs where AI is merely mentioned in passing or used as broader context. Many companies reference “the age of AI” in layoff announcements that are fundamentally about cost-cutting, restructuring, or declining revenue.

Can you give an example of a layoff you excluded?+

Verizon (November 2025, 13,000 jobs) is a good example. The CEO’s letter framed the cuts as addressing a “cost structure that limits investment” and the need to “simplify operations.” While Verizon announced a $20M AI reskilling fund alongside the layoffs, the actual driver was operational restructuring — not AI displacing those roles.

Similarly, companies like UPS (78,000 jobs due to Amazon volume loss) and Unity (where the CEO explicitly stated layoffs were not AI-driven) were excluded despite being frequently mentioned in AI layoff discussions.

How do you determine the headcount numbers?+

We use the figures reported in credible news sources and official company announcements. When a company announces layoffs in phases, each phase is tracked as a separate event with its own headcount and date.

If different sources report conflicting numbers, we use the most authoritative source available — typically the company’s own announcement, SEC filings, or major business publications like Reuters, CNBC, or Bloomberg.

How often is the data updated?+

Our automated pipeline scans news sources daily. New events are extracted, deduplicated, and assigned a confidence score. Events above our threshold are published automatically; lower-confidence events are flagged for manual review. As AI-related layoffs increase, we’ll increase the frequency of updates.

Can I suggest a company or correction?+

Yes! If you know of an AI-related layoff we’ve missed, you can submit it here. Just paste a link to a news article and we’ll review it. If any of our data is inaccurate, please reach out. We aim to be as accurate and transparent as possible. Every event links back to its source article so you can verify the data yourself.