- Companies that are betting on AI are also seeing positive impacts on their workforce
- Entry-level roles experienced above-average growth, contrary to existing research
- Benefits for the workforce are not immediate: AI needs time to find its place within organizations
A new report has challenged the narrative that AI adoption has led to job losses and instead reveals that companies making the biggest investments in AI are actually growing their workforce.
The study combines corporate AI spending data from Ramp’s payments platform and workforce records from Revelio Labs to analyze more than 21,500 U.S. companies, making it one of the largest of its kind.
It concludes that high-intensity AI adopters increased their workforce by about 10% in the first two years after implementing AI, which, after all, makes AI good news for workers and workers.
AI adoption is causing companies to hire more workers
Clearly, only strong adoption of AI has a positive impact on workers, because companies that made modest investments did not see any significant growth.
The study also emphasizes that the impacts are growing slowly: rather than seeing an immediate increase in employment, companies need time to integrate AI, discover productive use cases, and hire more workers.
High adopters are defined as those who invested about $33 per employee per month during the first three months after adoption, compared to about $3 for low adopters.
It also challenges other recent research, which claims that initial employment actually rose 12% more than the average among high-intensity AI adopters. Other reports have implied that entry-level workers are among the hardest hit.
Although the tech giants dominate the headlines, with Salesforce cutting nearly half of its support staff and Amazon notably cutting tens of thousands of workers, the Ramp/Revelio Labs report actually shows growth in more than just AI engineer roles, spanning sales, marketing, administration, finance, customer service, and more.
While the research cannot be used to predict long-term employment impacts, it at least serves as a warning that workers are not currently at risk of outright layoff, even amid changing job roles.
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