Gartner: AI Will Net 1.7M Jobs by 2030, But Upskilling Becomes Critical

Artificial intelligence will fundamentally reshape employment over the next six years, delivering a net positive of 1.7 million jobs globally by 2030, Gartner said Tuesday. The transformation will hit technology workers particularly hard, as AI adoption forces a wholesale rethinking of job responsibilities and skill requirements across the sector.

The research firm projects that more than one in five workers will experience significant changes to their roles by 2030, altering not just what they do but how they do it and the scope of what they own. Gartner estimates that up to 1.8% of the global workforce will face direct job displacement from AI during this period.

Despite near-term disruption in the technology sector, AI will ultimately expand employment opportunities for technologists, according to John Lovelock, distinguished VP analyst at Gartner. "Each piece of the technology required to make AI work is going to require a new skill set and employee to deal with it," Lovelock told CIO Dive. "The CIO will in fact need more employees to deal with AI than they have for just dealing with IT."

The Math Behind the Shift

While Gartner forecasts nearly 9 million job losses by 2030, the technology will simultaneously generate approximately 10.6 million new positions. The majority of workers will experience some modification to their core tasks, though fewer than 2% will lose their jobs outright.

Lovelock cautioned that the labor market will likely remain relatively stable until organizations begin fundamentally restructuring how their departments operate. "AI projects are going in to solve a certain business function and that business function has tasks that spread across many different jobs," he explained. "Each job is going to get affected by almost every AI project that comes in, but very few jobs will have all of their tasks affected by an AI project or a collection of AI projects."

The technology is already reshaping work across sectors. Engineers are transitioning from writing code to overseeing AI systems, restaurant operators are automating workflows, and financial services firms are leveraging AI for lending decisions and forecasting.

Upskilling as the Critical Bottleneck

Workforce retraining will be essential to managing this transition, Lovelock said, as organizations must equip current employees with new competencies. Skills deficiencies, rather than technical limitations, frequently prevent enterprises from realizing returns on their AI investments.

By 2030, one-fifth of all workers will need to adapt their job performance. Among technologists specifically, 70% will face high exposure to AI, according to Gartner's findings.

However, many workers currently lack adequate preparation. A Forrester study found that only 16% of information workers demonstrated strong understanding of AI tools, while 43% risked serious misunderstanding.

Lovelock drew parallels to the workplace adoption of personal computers decades earlier. "The skills that they need in order to be effective and productive in their job will change. Not everybody is going to become a prompt engineer — most people will be root users of the AI that is given to them by the organization," he said. "But being able to use [AI] effectively is a similar kind of task to using email effectively back in 1989."

The CIO's New Leadership Challenge

Chief information officers will face their own transformation and operational disruption. IT teams will encounter AI's effects on their roles sooner, but CIOs must then cascade those lessons throughout their organizations, Lovelock said.

What they do, how they do it and the pace that they do it [in] is going to affect what gets done in the way of change control, reskilling and employee happiness across the organization. So, the changes that they're going to feel themselves, they have to help manage within the greater organization.

John Lovelock, Gartner