Predictions that artificial intelligence will replace large portions of the workforce have dominated headlines for the past two years. New research from Ramp suggests the reality may be more nuanced.
The financial operations platform has released a study indicating that companies making significant investments in AI are expanding their workforces faster than comparable businesses, including hiring more entry-level employees. The findings challenge one of the most persistent concerns surrounding enterprise AI adoption—that automation will inevitably lead to widespread job losses.
The report, “A New Look at AI’s Impact on Jobs: Firm-Level AI Spending and Workforce Adjustment,” is notable because it analyzes actual company spending on AI rather than relying on surveys or employer sentiment. Researchers linked Ramp’s corporate card and bill payment data with workforce records from Revelio Labs, examining AI spending and hiring trends across 21,599 U.S. companies.
Heavy AI Investors Are Hiring More
The research found that companies adopting AI increased their workforce by 10.2% over the two years following adoption, but the gains were concentrated among organizations making the largest investments in AI.
Businesses categorized as high-intensity AI adopters—those spending more on AI tools per employee shortly after implementation—experienced measurable workforce growth. Companies with relatively modest AI investments showed no statistically significant change in headcount.
The trend extended beyond experienced professionals. Among companies making the largest AI investments, entry-level hiring increased by 12% over the same two-year period.
The findings suggest that organizations investing strategically in AI may be using the technology to scale operations rather than reduce staffing levels.
AI Adoption Remains Uneven Across Businesses
The study also highlights that AI adoption is far from evenly distributed.
Companies investing in AI tend to share several characteristics before adoption. They are generally larger organizations, employ more engineering talent, attract venture capital funding, and already exhibit faster growth than non-adopters.
According to the researchers, these companies continue to outperform after integrating AI, raising questions about whether AI itself drives growth or whether high-growth businesses are simply better positioned to capitalize on emerging technologies.
Either way, the data points to AI becoming an increasingly important competitive advantage for organizations willing to make meaningful investments rather than limited experimentation.
Small Businesses Face a Different AI Challenge
While large enterprises dominate AI adoption today, the study uncovered an interesting trend among smaller businesses.
Small companies are less likely to adopt AI than larger organizations, but those that do often implement it more aggressively.
Researchers found the impact of AI investment was proportionally greater for smaller firms, where AI can automate tasks that might otherwise require hiring additional employees or building specialized teams.
That finding suggests AI could become an important equalizer for smaller organizations competing against larger enterprises with deeper resources.
However, adoption barriers—including awareness, implementation expertise, and investment capacity—continue to limit broader uptake among SMBs.
Ramp Partners With Meta to Boost AI Adoption
To encourage wider AI adoption among smaller businesses, Ramp announced a partnership with Meta Small Business.
The collaboration aims to increase awareness of AI’s business value while helping entrepreneurs access the tools, education, and support needed to integrate AI into daily operations.
Rather than focusing solely on technology adoption, the initiative seeks to address practical challenges that often prevent small businesses from moving beyond experimentation.
Why This Matters
The debate over AI’s impact on employment remains one of the defining questions of the current technology cycle.
Much of the public discussion has centered on automation replacing workers, particularly in administrative, customer service, and knowledge-based roles. At the same time, economists have argued that AI could create new jobs, improve productivity, and expand businesses in ways that ultimately generate additional employment.
Ramp’s research adds new evidence to that conversation by examining actual corporate spending behavior instead of relying on executive surveys or hiring intentions.
The study doesn’t conclude that AI universally creates jobs. Rather, it suggests companies making substantial, strategic AI investments are currently growing their workforces faster than similar firms—particularly when AI becomes part of broader business transformation rather than an isolated technology initiative.
As enterprise AI adoption accelerates, the relationship between automation and employment will likely remain complex. For now, the latest data indicates that AI may be augmenting business growth more often than replacing human workers, especially among organizations willing to invest beyond the pilot stage.
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