What Revelio Data Says About AI and the Job Market
Revelio Labs Chief Economist Lisa Simon spoke with TIME’s Charter about what new data from the AI Labor Market Tracker reveals about AI and the job market. Published on August 2, 2026, the interview looks at a labor market where demand is falling for some AI-exposed roles even as companies adopting AI continue to grow their headcounts.
Read the full article, “How Hiring is Changing as AI Expectations Adjust”: https://time.com/partner-content/charter/how-hiring-is-changing-as-ai-expectations-adjust/
The findings point to a more complex shift than broad predictions of AI-driven job losses suggest. AI is changing which workers companies need and, increasingly, what people do within their existing jobs.
AI adoption and employment can grow together
One of the clearest findings from the first release of Revelio Labs’ AI Labor Market Tracker is the difference between AI exposure and AI adoption.
Occupations with a high share of activities that can potentially be performed by AI are seeing declining labor demand, with particularly pronounced effects among junior workers. But companies that have already adopted AI show a different pattern: their headcounts are growing faster than those of non-adopting companies.
Both trends can happen at the same time.
“The general demand for highly exposed occupations is going down, even as companies that are successfully adopting some of these tools are growing in headcount,” Simon told TIME.
That distinction matters for understanding the relationship between AI and employment. The effects depend on the occupation, worker, company, and measure of labor demand being examined.
As Simon put it, the data shows that “adoption and growth and employment can coexist.”
How is AI changing jobs themselves?
Headcount only captures part of the transformation.
Revelio Labs tracks changes in the activities workers report performing and the activities employers include in job descriptions. That data shows the rate of change in work activities has accelerated sharply.
Historically, about 4% of activities across the economy would need to be reshuffled to match their distribution one year earlier. Over the past three to six months, that figure has risen to 8%.
More strikingly, 94% of that activity churn is happening within occupations.
That means much of the current transformation would be missed by looking only at how many people work in each occupation. The jobs themselves are changing, even when their titles and overall employment levels remain relatively stable.
Some of the shift appears to come from highly AI-exposed activities declining, suggesting employers may already be automating parts of existing jobs. At the same time, workers are taking on new activities.
Newsletter: Introducing the Revelio AI Labor Market Tracker
What the AI Labor Market Tracker measures
Revelio Labs launched the AI Labor Market Tracker in July 2026 to provide a recurring view of how AI is affecting the U.S. labor market.
The tracker brings together indicators covering labor demand, labor supply, employment, wages, recruitment, and changes in job content. It is updated monthly with the latest Revelio Labs data.
Rather than relying on a single employment measure, the tracker makes it possible to compare what is happening across workers, occupations, and companies.
Revelio Labs provides standardized workforce data covering employment histories, job postings, compensation, company headcount, skills, occupations, and employee sentiment. Its data is used by investors, companies, researchers, and governments to measure changes in the labor market.
A labor market changing from within
The first release of the tracker suggests that some of the most consequential effects of AI may be difficult to see in headline employment numbers.
AI-exposed occupations are facing pressure. Junior workers appear particularly affected. Yet AI-adopting companies are continuing to add employees, and much of the measurable transformation in work is taking place within occupations rather than through entire occupations disappearing.
That creates a more precise way to follow AI’s impact on work: track who companies hire, what skills they seek, how jobs change, and what workers actually do.
Explore the Revelio Labs AI Labor Market Tracker for the latest monthly data on AI adoption, employment, hiring, wages, and changing job content.
FAQ
What is the Revelio Labs AI Labor Market Tracker?
The AI Labor Market Tracker measures how AI is affecting the U.S. labor market across labor demand, labor supply, employment, wages, recruitment, and job content. Revelio Labs updates the tracker monthly using its workforce data.
Are companies adopting AI reducing headcount?
The first release of the AI Labor Market Tracker found that companies adopting AI are growing headcount faster than non-adopting companies. At the same time, labor demand is declining for some occupations with high AI exposure, particularly among junior workers.
How is AI changing existing jobs?
Revelio Labs found that the rate of change in work activities recently doubled from roughly 4% to 8%. About 94% of that activity churn is occurring within occupations, suggesting that much of AI-driven workforce change is happening inside existing jobs.
Who is Lisa Simon?
Lisa Simon is Chief Economist at Revelio Labs. Her work focuses on using workforce data to understand labor market trends, including AI adoption, hiring, skills, and changes in employment.