CAIS Dashboard Tracks $8.5 Billion in Annual Wage Losses From AI-Attributed Job Cuts
The Center for AI Safety released updated data showing over 117,000 national layoffs linked to artificial intelligence acceleration this year.
Key points
- The CAIS Wage Loss Dashboard reports 117,000 AI-attributed job cuts nationally through September 2026.
- Estimated annual wage losses total $8.5 billion, averaging $25 per person nationwide.
- California accounts for 27,000 of these cuts, resulting in $56 per person in estimated losses.
The Center for AI Safety updated its Wage Loss Dashboard this month to include September 2026 data, revealing the economic impact of artificial intelligence on employment. This tracker quantifies job cuts explicitly tied to AI acceleration into specific dollar amounts for households and local economies across the United States.
According to the dashboard, there have been just over 117,000 job cuts attributed to AI nationally this year. These reductions represent an estimated $8.5 billion in annual wage losses. The tool multiplies the number of AI-attributed layoffs by average annual salaries to calculate these figures, providing a financial perspective on workforce changes.
Methodology and National Averages
The dashboard presents data through a map showing where layoffs occurred since January 2026 and a drop-down menu for state-specific or national views. It displays the estimated average wage loss per person relative to everyday expenses, such as the cost of a tank of gas. For the entire country, the average loss is $25 per person per year.
CAIS notes that these state estimates are not observed AI layoffs but rather calculations. The dashboard applies each month’s national share of cuts citing AI to that state’s announced job cuts. It then converts these to estimated annual wage loss and divides by the state population to find the average loss per person.
State-Level Impact Variance
The financial impact varies significantly by state due to differences in job cut concentrations and population sizes. California shows the highest per-person impact at $56, driven by a high concentration of just over 27,000 layoffs attributed to AI. This reflects the state's larger share of the national total in absolute numbers.
In contrast, Alaska reports only 138 job losses attributed to AI, resulting in an estimated $14 per person in annual wage loss. These figures illustrate how the mass community effect of AI-driven workforce changes distributes unevenly across different regions, with some states bearing a heavier relative economic burden than others.
What should you do?
Security and technology professionals should monitor these economic indicators to understand broader industry trends. While this data tracks macroeconomic shifts, it does not indicate immediate security threats or vulnerabilities in specific systems.
What to do and how to stay safe: Center for AI Safety
- Review organizational workforce planning documents for mentions of AI-driven restructuring or efficiency initiatives.
- Monitor official communications from industry groups like CAIS for updated economic impact data.
- Assess local economic conditions in your region to gauge potential community-level effects of tech layoffs.
- Verify specific layoff reasons through company announcements rather than relying solely on aggregated dashboard estimates.
Step-by-step guide: Prompt Injection Warning Signs: How to Spot AI Manipulation
General security guidance from the Threat Times newsroom. It is not confirmed advice from the organisations named in this story.
Frequently asked questions
How many jobs has CAIS attributed to AI cuts this year?
The dashboard reports just over 117,000 job cuts attributed to AI nationally through September 2026.
What is the total estimated wage loss from these cuts?
The Center for AI Safety estimates $8.5 billion in annual wage losses based on average salaries.
Which state has the highest per-person wage loss?
California has the highest estimated loss at $56 per person, due to 27,000 attributed layoffs.
