This bill mandates the Bureau of Labor Statistics to expand its data collection to track the adoption and impact of artificial intelligence on workplace conditions, tasks, and employment statistics.
Tim Walberg
Representative
MI-5
The AI Workforce Assessment and Research Enhancement (AWARE) Act mandates the Bureau of Labor Statistics (BLS) to begin collecting comprehensive data on the adoption and use of artificial intelligence in the workplace. This new data collection will address significant gaps in understanding how AI affects employment, wages, tasks, and training across the U.S. labor market. The goal is to provide policymakers and the public with timely, robust statistics to better respond to technological transformation.
The AI Workforce Assessment and Research Enhancement (AWARE) Act is essentially a massive software update for the Bureau of Labor Statistics (BLS). Right now, the government tracks things like how many hours we work and what we get paid, but it doesn't have a formal system to track how many of those hours are spent using AI or if a robot is actually the one doing the heavy lifting. This bill changes that by requiring the BLS to integrate AI usage data into its regular reporting on workplace conditions and production. Under Section 3, the agency has a strict 18-month deadline to start collecting this data, ensuring that the numbers reflect the reality of the modern office or factory floor sooner rather than later.
For most of us, AI isn't just a headline; it’s a tool we’re already using to draft emails, code faster, or manage inventory. However, the people making policy decisions are currently flying blind. The AWARE Act aims to fix this by documenting exactly how workers are using AI and how businesses are adopting it. If you’re a graphic designer whose workflow has shifted from manual sketching to AI-assisted rendering, or a warehouse manager overseeing new automated sorting systems, this bill ensures those shifts are officially recorded. By tracking AI-related changes in tasks and duties, the government can better understand whether AI is actually creating new types of jobs or simply making old ones obsolete.
This isn't just about spreadsheets for the sake of spreadsheets. The goal is to provide a clearer picture for educators and workforce trainers. For example, if the data shows a massive spike in AI adoption within the construction or medical billing industries, community colleges and trade schools can pivot their curriculum to teach those specific skills. For a mid-career professional looking to upskill, this data could be the difference between guessing which certifications matter and knowing exactly where the market is headed. Section 2 of the bill specifically notes that this data will help track AI-related training and retraining activities, giving us a roadmap for which industries are actually investing in their human workers versus just replacing them with algorithms.
One of the most practical changes in the bill is the requirement to add AI usage to the statistics collected on total hours of employment. This means we might finally see concrete data on whether AI is saving us time or just increasing the volume of work we're expected to finish in a day. It also looks at how AI impacts hiring, job vacancies, and wages. For a small business owner, this data could help benchmark whether they are keeping pace with their industry's tech adoption. By using the existing definition of AI from the National Artificial Intelligence Initiative Act of 2020, the bill keeps things consistent across the federal government, ensuring everyone is talking about the same technology when the data starts rolling in.