ai · · 2 min read

Adopting AI creates new jobs, not destroys them.

By James Thornton

Adopting AI creates new jobs, not destroys them.

My opinion is more in line

Data from 21,000 companies reveals: AI Spending Is Creating Jobs, Not Killing Them Go Premium Topics Popular Image: LightFieldStudios/Envato New data from Ramp and Revelio shows that intensive adoption of generation AI is linked to higher employee numbers and more entry-level engagement, challenges that „kill and transform IT leaders”. By July 6, 2026, I'm convinced that the AI team will be able to close jobs and solve their own problems, as well as reduce their entry-level positions, as well as reduce their working hours.

My opinion is more in line with Goldman Sachs CEO David Solomon, who at Cisco's AI Summit said that AI, like all other major technological transitions, will do three things - eliminate jobs, increase productivity, and create much more jobs, resulting in a net positive result. This is in line with data from the World Economic Forum, which also shows a net job growth. However, this has been difficult to reconcile with the data.

The report divided the adopters into two

A new study by Ramp and Revelio Labs, provided by TechRepublic and other agencies, owes a part of the fear of anonymizing AI, particularly by linking AI and ongoing tools to AI, which is the way AI is being developed, and how AI is being studied by companies that are developing AI, and how AI is being studied by companies, and how AI is being used by companies, and how it's being used by companies, is a big deal.

The report divided the adopters into two groups. Low-intensity adopters spent only a few dollars per year on AI per employee in the first three months. High-intensity adopters spent about an order of magnitude more dollars per employee in the same early period. This idea that „AI spends per employeealigns with a deeper integration of AI, such as coding agencies, APIs, and inference services, rather than just distributing AI chat licenses. Because AI adopters are already the largest, most technical, and fastest-growing than those who adopted AI at the same time, the study shows that junior adopters do not simply ”super-adoptemployee dollars and do not simply do so in the same period.

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Content written by James Thornton for techbriefe.com editorial team, AI-assisted.

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