Measuring the Economic Effects of AI

2026-02-09 · Source: Agglomerations · Field: Finance & Economics — Economic Analysis & Policy, Human Resources & Workforce Development, Corporate Strategy & Leadership · Depth: Fundamental Awareness, quick

Summary

EIG has released a new report detailing essential steps policymakers should take to better measure the economic effects of Artificial Intelligence. The report emphasizes that AI is poised to significantly reshape labor markets and production methods, necessitating timely information for workers, firms, and policymakers. Key questions include how many firms and workers use AI, how AI-adopting firms differ, which industries are expanding or contracting, and how skill demands and worker transitions are evolving. The good news is that much of the required statistical infrastructure, such as expandable surveys, combinable administrative data, and federal statistical system human capital, already exists. The report concludes that policymakers primarily need to make targeted investments and scale what is currently working to improve AI impact measurement.

Key takeaway

For policymakers developing economic data strategies, you should prioritize targeted investments in existing statistical infrastructure to accurately measure Artificial Intelligence's economic impact. This approach will provide crucial, timely data essential for workers seeking new careers, students choosing relevant skills, and firms making informed investment and operational decisions. Proactive investment now avoids significant delays in understanding and adapting to AI's transformative effects on the economy and workforce.

Key insights

Measuring AI's economic impact requires targeted investment in existing statistical infrastructure.

Principles

• Timely economic data is crucial.
• Existing statistical systems are scalable.
• Targeted investment yields better measurement.

Method

Improve AI impact measurement by expanding existing surveys, combining administrative data, and leveraging human capital within federal statistical systems.

In practice

• Expand current economic surveys.
• Integrate diverse administrative data.
• Invest in federal statistical staff.

Topics

• Economic Impact
• Artificial Intelligence
• Labor Market Data
• Statistical Measurement
• Policy Recommendations
• Workforce Adaptation

Best for: Policy Maker, Executive, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by Agglomerations.