The University of Maryland–LinkUp AI Maps Project released a white paper on April 23, 2026, titled Tribal Tales vs Hard Data, which challenges the prevailing narrative that artificial intelligence is causing widespread job displacement. The report, co-led by Anil K. Gupta, a professor at the Robert H. Smith School of Business, and the job market data firm LinkUp, found no empirical evidence that AI adoption is reducing overall labor market demand in the United States.
The study analyzed approximately 155 million U.S. job postings dating back to the first quarter of 2018. According to the data, the demand for technical AI talent has surged significantly since the launch of generative AI tools in late 2022. AI-specific job postings grew from 0.28 percent of all job listings in the fourth quarter of 2022 to 1.13 percent by the fourth quarter of 2025. Despite this rapid growth in AI-focused roles, the researchers found that total labor demand across the economy remains above pre-pandemic levels.
One of the report's most significant findings concerns the impact of AI on entry-level employment. Contrary to concerns that AI would automate roles typically held by junior employees, the data shows that the intensity of job postings for fresh graduates increased from 11.7 percent in late 2022 to 12.6 percent in the final quarter of 2025. The raw number of job postings explicitly targeting recent graduates reached 532,475 in the fourth quarter of 2025, a 63 percent increase compared to the first quarter of 2018.
Professor Gupta stated that the current discourse regarding AI-driven job loss is largely driven by anecdotes and isolated cases rather than economy-wide data. He noted that AI appears to be reshaping the labor market rather than shrinking it, potentially tilting the field in favor of younger, less experienced workers who can adapt to new technologies.
The white paper also addressed recent high-profile layoffs at major technology firms, often referred to as hyperscalers. The researchers attributed these workforce reductions to post-pandemic normalization and a reallocation of resources toward infrastructure, such as data centers, rather than direct AI substitution. The report highlighted that companies like Amazon, Microsoft, Google, and Meta ended 2025 with higher total employee counts than they had in 2023, despite periodic layoff announcements.
The findings suggest that sectors with the fastest growth in AI hiring often exhibit stronger overall job demand. In mathematical and computer occupations, demand for fresh graduates was 55 percent higher in the fourth quarter of 2025 than it was in early 2018. The report concludes that while AI is fundamentally changing the nature of work, the data does not support the theory that it is currently dampening the broader U.S. labor market.