How AI Investment Is Driving Job Growth
Revelio Labs' Chief Economist, Lisa Simon, joined Bloomberg Open Interest on July 2, 2026, to discuss the state of the U.S. labor market and new evidence on AI investment and job growth. Drawing on Revelio Labs workforce data and recent research with Ramp, Simon explained why companies investing most heavily in AI are also among the fastest-growing employers, expanding both entry-level and experienced roles.
Watch the full Bloomberg Open Interest interview: https://www.bloomberg.com/news/videos/2026-07-02/how-ai-creates-jobs-video
What does the latest jobs report say about the labor market?
The latest employment data came in below expectations, but Simon cautioned against drawing broad conclusions from a single report. Major labor market indicators continue to produce different estimates, reflecting uncertainty around the precise pace of employment growth.
Looking across several months reveals a more encouraging direction. Hiring activity is beginning to improve after a prolonged period of limited employer demand, even as worker movement remains subdued.
“Hiring is up, but attrition’s still down,” Simon said. “It’s actually been going down for, like, the past twenty-six months.”
Lower attrition suggests that workers remain hesitant to change jobs. Continued hiring growth may be needed before confidence returns and job-to-job movement begins to accelerate.
Simon compared the current labor market to watching a close World Cup match. The overall position may be positive, but the slow pace leaves room for uncertainty.
How are AI investment and job growth connected?
Much of the public discussion around artificial intelligence has focused on automation and job displacement. Recent workforce data point to a broader employment story.
Revelio Labs and Ramp studied employment patterns among companies with different levels of AI investment. Companies investing most heavily in AI grew employment by more than 10% following adoption, while lower-intensity adopters experienced little employment growth. High-investment companies also expanded their share of entry-level workers.
“We just published a study just this week showing that companies that are adopting AI really heavily are actually some of the fastest-growing companies,” Simon said during the interview.
Employment growth extended across engineering, sales, and marketing roles. The findings suggest that companies generating value from advanced AI tools may require more workers to support growth, apply new technology, and manage a rising volume of output.
“AI adoption and employment growth can coexist,” Simon said.
The findings do not rule out displacement in particular roles or tasks. They show that workforce growth can occur alongside intensive AI adoption, especially among companies using AI as part of a broader expansion strategy.
Why are AI adopters hiring entry-level workers?
Entry-level employment has been central to concerns about generative AI. Early-career roles often include tasks that AI systems can perform or accelerate, leading many observers to expect companies to reduce junior hiring first.
The data show a different pattern among companies making the largest AI investments. These employers are increasing entry-level hiring while continuing to recruit experienced workers.
Simon explained that advanced AI adoption creates demand at both ends of the experience spectrum. Younger workers may bring familiarity with emerging technologies and greater comfort incorporating AI tools into daily work. Experienced employees provide the judgment and subject expertise needed to evaluate increasingly large volumes of AI-generated output.
The skills employers seek are also changing. Leadership, empathy, experience, and other distinctly human capabilities are becoming more prominent across roles. At the same time, AI may help employees build technical knowledge and reach higher levels of productivity more quickly.
As adoption advances, workforce needs may become more varied rather than uniformly smaller.
AI adoption remains uneven across industries
The employment effects of AI depend partly on where adoption is occurring. Simon noted that information-sector companies lead current generative AI adoption, with approximately 60% of companies in the study sample adopting the technology.
Adoption declines sharply across other industries. Manufacturing remains among the sectors with the lowest rates of generative AI adoption, reflecting differences in how readily current tools apply to the work being performed.
These gaps matter when assessing AI’s labor market impact. Industries adopting AI most intensively may experience changes in hiring, skill demand, and workforce composition sooner than sectors where adoption remains limited.
About Revelio Labs
Revelio Labs is a workforce intelligence and research company building the definitive standard for global workforce information. Our team of data scientists, economists, and engineers transforms billions of public employment records into clean, reliable, and standardized data spanning more than 30 million companies, over 5 billion job postings, and 195+ countries. Through the Revelio Terminal, economic research, and public labor market releases, Revelio Labs provides a comprehensive view of the global workforce, helping organizations make critical labor market decisions.
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Frequently asked questions
Is AI creating jobs?
Recent Revelio Labs and Ramp research found that companies investing most heavily in AI grew employment by more than 10% following adoption. Employment expanded across entry-level and experienced roles, suggesting that intensive AI adoption can coincide with workforce growth.
Are companies using AI hiring entry-level workers?
Companies with the highest levels of AI investment increased their share of entry-level employees. These workers may bring familiarity with emerging technologies, while experienced employees provide the expertise needed to review and apply AI-generated output.
Which industries have adopted generative AI most quickly?
The information sector has the highest rate of generative AI adoption in the Revelio Labs and Ramp study sample, at approximately 60%. Adoption is considerably lower in industries such as manufacturing, where current generative AI tools may apply to a smaller share of work.
What workforce data does Revelio Labs provide?
Revelio Labs provides standardized data on employment, headcount, hiring, job postings, compensation, workforce composition, skills, employee sentiment, and worker movement. Organizations use the data to analyze labor market trends across companies, industries, roles, and geographies.