A new study from Ramp Economics Lab tracking 21,559 US firms found that businesses that heavily adopted artificial intelligence tools increased their total headcount by 10.2% over two years. The research, which looked at hiring patterns from 2022 to 2024, shows entry-level positions grew even faster, at 12%.
Tracking 21,559 firms
The study, conducted by Ramp Economics Lab, analyzed data from a broad cross-section of American companies. The researchers classified firms as heavy AI adopters based on their use of automation and machine learning technologies in core operations. The sample spans multiple industries, including manufacturing, retail, finance, and technology. The two-year timeframe covers a period of rapid AI deployment in the workplace, following the public release of advanced generative AI tools in late 2022.
Entry-level jobs on the rise
Entry-level roles rose by 12% among heavy AI adopters, outpacing overall headcount growth. That figure challenges the common assumption that AI primarily replaces lower-skilled positions. Instead, the data suggests that companies investing in AI are also hiring more people at the ground floor — perhaps to train, manage, or complement the new systems. The study did not specify which occupations saw the biggest gains, but the overall trend is clear: heavy AI adoption doesn't mean fewer jobs.
A different picture from the doomsayers
The findings run counter to a wave of public anxiety about AI wiping out jobs. Surveys and media reports have often painted a bleak picture, but the Ramp Economics Lab data offers a more nuanced view. The 10.2% headcount growth among heavy AI adopters is significantly higher than the average for non-adopting firms, though the study didn't break out those numbers. Still, the pattern is consistent across the sample: companies that embrace AI also hire more people. That doesn't mean every worker is safe — some roles may be automated — but on net, the effect is positive.
What the numbers mean for hiring
For employers, the study provides fresh evidence that AI can be a growth tool rather than a cost-cutting weapon. The 12% jump in entry-level hiring suggests that AI adoption may create new demand for junior talent, possibly to handle tasks that become more complex or to staff new functions that didn't exist before. The research doesn't examine wage effects, but it does offer a data point for companies weighing AI investments. The study's authors plan to release more detailed sector-by-sector analysis in the coming months, according to the report.
The Ramp Economics Lab used publicly available employment data and proprietary AI adoption metrics to reach its conclusions. The team emphasized that the results are correlational, not causal, and that future research could explore whether AI adoption drives hiring or hiring drives AI adoption. For now, the numbers offer a concrete counterweight to the narrative of a jobless future.
