Ben Zweig on CNBC: How AI Is Changing Jobs
Revelio Labs founder and CEO Ben Zweig joined CNBC’s Squawk Box on July 28, 2026 to discuss the launch of the Revelio Labs AI Labor Market Tracker and what the data shows about AI and jobs. The conversation examined where AI’s effects are already appearing across employment, hiring, and the work people do.
Watch the full interview: https://www.cnbc.com/video/2026/07/28/impact-of-ai-on-jobs-revelio-labs-ceo-ben-zweig-on-the-launch-of-new-ai-labor-market-tracker.html
The new monthly tracker combines workforce, job posting, salary, and employee sentiment data to measure AI’s impact across five parts of the labor market: worker supply, employer demand, employment and wages, work activities, and the hiring process.
What does the data show about AI and jobs?
The first edition of the AI Labor Market Tracker finds that AI exposure and AI adoption tell different employment stories.
Since the launch of ChatGPT, employment in occupations containing the most AI-exposed work has grown about 4% less than employment in the least-exposed occupations. The slowdown is larger among younger workers in exposed occupations than among older workers.
But companies that have actually adopted AI show a different pattern.
AI-adopting firms have grown headcount 27% relative to non-adopters since October 2022. That growth is concentrated in senior positions, which have grown 31%, compared with 6% for junior positions.
The findings point to two shifts happening at once. AI can reduce demand for particular kinds of work while companies adopting the technology continue to grow overall.
Work is changing faster than jobs
Employment numbers only capture part of AI’s impact.
Jobs are made up of individual activities, and employers can change those activities without changing a worker’s occupation or eliminating the position.
Revelio Labs measures these shifts through an activity dissimilarity index, which tracks how much the mix of work performed across the economy differs from one year earlier.
In June 2026, the year-over-year change in the activity mix reached 8.4 percentage points after rising sharply over the previous three months.
Most of that transformation is happening within occupations, rather than because workers are moving from one set of occupations to another.
That means a worker can retain the same job title while spending less time on activities such as drafting, summarizing, data entry, or routine analysis, and more time reviewing AI-generated work, exercising judgment, or managing AI-assisted workflows.
The data also shows that the share of job postings with high AI exposure has declined by approximately 5 percentage points since November 2022. The decline does not prove that AI has replaced that work, but it is consistent with employers beginning to automate or reduce their reliance on some highly exposed activities.
AI may be adding friction to hiring
AI is also changing how candidates and employers find one another.
The number of job postings required to make one hire has been rising for six years and has increased sharply since late 2022. Today, employers need to post a job more than five times, on average, to make one hire.
Candidates are also reporting more communication problems. Mentions of recruiter ghosting in no-offer interview reviews have increased by about 9% since October 2022.
These trends began before ChatGPT, so generative AI cannot fully explain them. But AI may be adding noise to an already difficult matching process.
Candidates can now tailor resumes, write cover letters, and prepare applications at very little additional cost. As polished applications become easier to produce, employers may have a harder time identifying which candidates are strongest from traditional application materials alone.
Tracking AI’s impact on the labor market
Revelio Labs launched the AI Labor Market Tracker in July 2026 to provide a consistent, monthly view of how these changes are unfolding.
The tracker is designed to measure what is happening rather than predict the eventual future of work. Each update follows changes across hiring, company growth, career entry, work activities, wages, and the mechanisms connecting workers with employers.
Revelio Labs provides standardized workforce data covering employment histories, job postings, compensation, skills, company headcount, and employee sentiment. Investors, companies, researchers, and governments use the data to measure changes across companies, industries, occupations, and geographies.
As the first results show, AI’s labor market effects can move in different directions at the same time. Employment can weaken in highly exposed occupations while AI-adopting companies grow. Jobs can remain in place while the work inside them changes. New recruiting technology can make applying easier while making successful matches harder.
Explore the Revelio Labs AI Labor Market Tracker for the latest monthly data on AI, jobs, hiring, and changing work.
FAQ
What is the Revelio Labs AI Labor Market Tracker?
The AI Labor Market Tracker is a monthly measure of AI’s impact on the labor market. It follows worker supply, employer demand, employment and wages, changes in work activities, and the hiring process using Revelio Labs workforce data.
Is AI reducing employment?
The effects differ depending on AI exposure and adoption. Employment in the most AI-exposed occupations has grown about 4% less than employment in the least-exposed occupations since ChatGPT launched, while AI-adopting firms have grown headcount 27% relative to non-adopters since October 2022.
How is AI changing existing jobs?
Revelio Labs data shows that much of the recent change in work is occurring within occupations. Workers can remain in the same occupation while the activities they perform change substantially.