The public conversation about artificial intelligence replacing human workers changes every single day, and the data is getting messy. On one side of the debate, the raw numbers look alarming. By May 2026, corporate layoff announcements highlighted that tech companies eliminated nearly 90,000 positions due to automated software systems. Some economic forecasts even warn that automation could completely wipe out up to 15% of all employment roles in the United States over the next five years. These scary statistics make young professionals and recent college graduates incredibly anxious about whether anyone will actually hire them when they enter the job market.

However, a massive study from corporate spend platform Ramp and employment data firm Revelio Labs introduces a surprising twist to this gloomy perspective. The two firms analyzed real workforce records and software budgets across nearly 22,000 businesses. Their joint report reveals that companies investing heavily in artificial intelligence are actually expanding their staff numbers much faster than businesses ignoring the technology. This hiring boost extends directly to the entry-level positions that many critics assumed were permanently doomed.

The report specifically tracks a group it defines as high-intensity adopters. These are businesses spending an average of 30 dollars per employee every month on smart software services during their first quarter of deployment. Instead of slashing staff to save cash, these power users grew their total employee headcount by an average of 10.2%.

This employment growth did not just happen in tech development departments. Companies brought on more staff across almost every core business function, including sales, administrative support, customer service, corporate finance, marketing, and research roles. The absolute strongest staffing gains occurred within the information sector, a category that covers software engineering, internet services, digital media, and tech-adjacent businesses.

We do have to look at this data with a healthy dose of skepticism. The researchers admit the dataset skews heavily toward venture-backed, tech-forward knowledge firms. These specific businesses were already growing rapidly before the software wave arrived. Because of that pre-existing growth, it remains difficult to prove whether smart applications are directly causing the new hiring or if the software simply shows up at businesses that already have plenty of cash to burn.

The authors openly acknowledge that their paper does not prove automated tools will universally create employment opportunities for everyone. Still, the data successfully dismantles the widespread claim that automation will trigger a sudden collapse in total jobs. It also challenges popular reports about a junior worker crisis. For context, separate research from Goldman Sachs noted that automation erased roughly 16,000 net positions per month over the last year, with Gen Z and entry-level workers taking the brunt of the damage. Yet, inside the tech-forward companies tracked by Ramp and Revelio Labs, entry-level hiring actually climbed by 12%.

The biggest lesson here is that forward-thinking firms view automation as a tool for corporate expansion rather than a cheap way to replace human labor. For software and technology businesses, smart assistants make producing core assets much cheaper and faster. Workers use these tools to write code quicker, debug software anomalies, build internal databases, generate technical documentation, and accelerate product design pipelines. Dropping the production costs of these core workflows increases the financial return for the entire company, giving leadership the resources to expand the whole business rather than shrinking the engineering department.

This trend is creating a massive divide in the corporate landscape. Businesses that merely buy generic software subscriptions or launch small pilot programs without updating their core operations do not see any headcount gains. A widening gap is forming between wealthy firms with the capital, technical staff, and management bandwidth to transform their workflows and the struggling businesses that just buy basic app access. The companies that already possess massive resources will likely capture the largest rewards, while businesses without those advantages run a serious risk of falling behind permanently.