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Gartner found that low-experience workers in low-complexity roles, such as call centers, saw a productivity boost — not from AI’s automation capabilities, but from its ability to help them learn their job more effectively. That, in turn, led to higher productivity from workers using genAI, a phenomenon known as “experience compression,” or the ability for the technology to accelerate learning.
GenAI, Suda argued, boosts productivity for highly experienced workers in complex roles, like corporate finance or software engineering, by acting as a thought partner. That effect, he said, is known as “skill magnification,” where the technology amplifies employee capabilities, creativity, and productivity, leading to greater impact.
As time spent on tasks increases, so does the quality and quantity of output, making productivity rise disproportionately, according to Suda. “GenAI’s true strength lies in inspiring creativity and teaching, not just automating tasks,” he said.