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Good morning, CIOs. And a warm welcome to all our AI managers, AL/ML engineers, AI data specialists, computer vision architects, chief AI officers and other holders of job titles that did not exist just a few years ago.
As the Journal’s Isabelle Bousquette reports this morning, rising demand for generative AI talent has spawned myriad new job titles, confusing job seekers and challenging HR departments.
“This is all still very much nascent and developing,” says Don Vu, chief data and analytics officer at insurer New York Life, about the explosion of titles. “Is this an AI manager? Is it an AI coding agent? Is it an AI coding agent manager?” He added, “There’s a lot of new titles that didn’t exist before that are now manifesting.”
Do you know what’s not manifesting? Prompt engineering. Hailed as one of the buzziest jobs in tech, fetching salaries of up to $200,000, the job title is obsolete, a victim of improving AI models and companies’ own maturity in terms of understanding how to use the technology.
“Two years ago, everybody said, ‘Oh, I think prompt engineer is going to be the hot job.’” said Jared Spataro, chief marketing officer of AI at Work at Microsoft. “It’s not turning out to be true at all.”
A recent survey commissioned by Microsoft asked 31,000 workers what new roles their companies were considering. Prompt engineering was second from the bottom, Spataro said.
But never fear, for every prompt engineer delisted from job boards, there surely is a freshly minted AI trainer or AI data specialist or AI security specialist or agent whisperer to take its place.
“We’re seeing an acceleration in the job market’s evolution,” said Karin Kimbrough, chief global economist at LinkedIn, adding that some 20% of the people in the U.S. who took on a new job in the past 12 months took on a job title that didn’t exist in 2000, according to LinkedIn’s data. Read the story.
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