AI Doesn't Destroy Jobs: Companies That Invest Most Hire More

What happened?

A study published by payment platform Ramp in collaboration with Revelio Labs analyzed data from more than 21,500 U.S. companies, combining corporate spending on AI with workforce records. The main conclusion: companies that make intensive AI investments (around $33 per employee per month) increased their workforce by approximately 10% during the two years following adoption, in contrast to those investing modestly ($3 per employee), which saw no significant changes. This finding is based on one of the largest studies of its kind, cross-referencing AI spending data from Ramp's payment platform with workforce records from Revelio Labs, allowing granular analysis by company and sector.

Why is it important?

This finding challenges the prevailing narrative that AI is destroying jobs, fueled by announcements from big tech companies like Salesforce, which cut about 4,000 support positions, or Amazon, which eliminated tens of thousands of workers. The report suggests that far from replacing workers, AI acts as a growth catalyst, enabling companies to expand operations and hire more staff. Even entry-level roles, which previous research suggested were most affected, grew by 12% among intensive adopters, surpassing the overall average. This contrasts with earlier studies indicating junior workers were most vulnerable to automation, such as Goldman Sachs' 2023 report estimating 300 million jobs could be affected by generative AI. The Ramp study suggests that, at least in the short term, AI is creating more opportunities than it eliminates, especially in areas like sales, marketing, administration, finance, and customer service, not just in technical AI roles.

What consequences will it have?

If this trend solidifies, it could redefine HR strategies and public perception of AI. Companies may feel more inclined to invest in AI without fear of reducing their workforce, and workers could see the technology as an opportunity for improvement rather than a threat. However, the study warns that benefits are not immediate: companies need time to integrate AI, discover productive use cases, and then hire. Moreover, the positive effect is only seen in intensive adopters, suggesting investment must be significant to generate impact. This pattern mirrors the adoption of other disruptive technologies, like cloud computing or robotic automation, which initially sparked fears of mass unemployment but ultimately drove new job creation. For example, the introduction of ATMs in the 1970s did not eliminate bank tellers but transformed their roles and allowed banks to open more branches, increasing total employment in the sector. Similarly, AI may be enabling companies to scale operations that were previously unfeasible due to staffing constraints.

What should readers know?

The report is based on U.S. company data and cannot be directly extrapolated to other countries or sectors. It also does not predict long-term effects, as AI is still in early integration phases. Nevertheless, it provides solid evidence that, at least in the short term, intensive AI adoption correlates with job growth. It is important to note that the study defines 'intensive adopters' as those spending about $33 per employee per month in the first three months, a figure that may seem modest but represents a significant investment in AI tools for medium-sized companies. Additionally, job growth is not immediate: it is observed over two years, suggesting companies need a learning and adaptation period. For professionals, the recommendation is clear: acquire skills complementary to AI and stay updated, as roles will evolve but not disappear en masse. For companies, the key is to invest sufficiently and give AI time to demonstrate its value before expecting hiring results. The study also highlights that benefits extend to non-technical roles, indicating AI is democratizing growth opportunities rather than concentrating them solely among engineers.

"AI is not eliminating jobs; it is transforming companies and creating new employment opportunities," the study states.

In summary, while the Ramp and Revelio Labs report offers an optimistic perspective, it is necessary to continue monitoring employment evolution as AI becomes more deeply integrated into business processes. Technological history suggests long-term effects may differ, but for now, data indicates that companies betting heavily on AI are growing and hiring more.