New York Struggles to Track AI-Driven Job Losses

State's WARN law updates fail to capture full impact of AI layoffs

Published on Mar. 10, 2026

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More than 160 companies in New York filed mass termination notices with the state's Department of Labor in the year after a new law required them to disclose the impact of AI on job cuts. However, none of the notices attributed the layoffs to 'technological innovation or automation,' according to an agency spokesperson, highlighting the challenges of using self-reporting measures like WARN laws to fully capture AI's labor market impact.

Why it matters

As AI becomes more integrated into business operations, the ability to accurately track its effects on employment is crucial for policymakers to understand the scope of job disruption and develop appropriate support programs. New York's experience suggests current reporting requirements may fall short in this regard.

The details

The new WARN law update in New York was intended to provide more transparency around the role of AI and automation in mass layoffs. However, the lack of companies directly attributing cuts to these factors indicates employers may be reluctant to make such connections explicit, even when AI is a contributing factor.

  • The new WARN law update in New York took effect in 2025.
  • In the year following the law change, over 160 companies filed mass termination notices with the state's Department of Labor.

The players

New York Department of Labor

The state agency responsible for overseeing the WARN law and receiving mass termination notices from employers.

Amazon.com Inc.

A major tech company that has integrated AI technology into its business operations.

Goldman Sachs Group Inc.

A financial services firm that has also adopted AI in its operations.

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The takeaway

The experience in New York highlights the challenges policymakers face in accurately measuring the labor market impact of AI as companies may be reluctant to directly attribute job losses to technological changes. Developing more robust reporting requirements and data collection methods will be crucial for understanding and addressing the workforce disruptions caused by the increasing adoption of AI.