Daily AI Toll
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Methodology

How we track AI-driven job displacement

Data Collection

Daily AI Toll uses automated AI analysis to scan public news sources for reports of job displacement linked to artificial intelligence adoption. The system runs daily at 11:55 PM EDT.

Sources include major business publications, technology news outlets, and company announcements. Each potential event is evaluated for relevance and credibility before inclusion.

Inclusion Criteria

Every entry in the database must have:

  1. A verifiable source — Link to original reporting
  2. An excerpt — Direct quote or factual summary from the source
  3. Causality assessment — Classification of AI's role in the displacement
  4. Confidence score — Algorithmic assessment of data reliability

No evidence, no entry. We do not include rumors, speculation, or unverified claims.

Causality Classification

Each event is classified by the degree to which AI contributed to the job losses:

Classification Definition
direct Company explicitly states AI/automation as primary reason for cuts
contributing AI cited as one of several factors, or cuts occur alongside major AI investment
inferred Cuts in roles typically affected by AI (tech, content, support) without explicit statement

Confidence Scores

Each event receives a confidence score from 0.0 to 1.0 based on:

Higher scores indicate greater certainty in the reported data. Events with confidence below 0.4 are typically excluded.

What We Don't Track

Limitations

This data represents a lower bound estimate. Many AI-related job losses go unreported or are attributed to other factors. Companies may not disclose the role of automation in workforce decisions.

The automated collection system may miss events or occasionally include false positives. All data should be independently verified before use in critical applications.

Updates & Corrections

Data is updated daily. If you identify an error or have a correction, contact [email protected].