Stanford Study Finds AI Widens Entry-Level Employment Gap

Researchers at Stanford University found that artificial intelligence has not caused widespread economy-wide job displacement but has widened the employment gap for entry-level workers. An update to the study titled "Canaries in the Coal Mine?" reveals that the employment gap for young workers grew from 15% to 19% over the past year.

The study indicates this shift is primarily driven by reduced hiring rather than increased separations. The researchers distinguish between codified knowledge, which consists of standardized information AI can easily replicate, and tacit knowledge acquired through real-world experience. Employment declined for young workers in roles relying on codified knowledge, while increasing for experienced workers who utilize tacit knowledge.

Using payroll data from ADP and the U.S. Bureau of Labor Statistics through June 2026, the researchers concluded that AI-exposed jobs experienced a mild slowdown in employment growth compared to the general sample. Co-author Erik Brynjolfsson observed that economy-wide job losses from AI are not visible in payroll data, though the team cautioned that other labor market forces may also contribute to these shifts.