These Are the Jobs Most Likely To Be Eliminated by Generative A.I.
And in an ironic twist, they won’t stop talking about it
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The fear-mongering around Generative AI and ChatGPT taking jobs from hard-working, knowledge-economy humans has reached a fever pitch.
Without naming names and linking links (I’d rather keep you here, more on that later), a simple web search returns hundreds of articles, listicles, and correlation thought pieces, all written to harvest the click of the average bread-winner by instilling a panic image of the machines rising up and doing for free what you get paid for.
I’ve been working with Natural Language Generation (NLG) and the roots of Generative A.I. since 2010, which, on the technology timeline, is the Mesozoic Era.
And I’ve got some good news for you.
The job that Generative A.I. is going to take is probably not yours. And you might get an ironic chuckle when I tell you which jobs are immediately in danger of being erased.
How Technology Impacts the Bottom-Feeders
My journey into NLG began with a company called Automated Insights, which pioneered NLG tech to create narrative stories out of data in walled data gardens like sports, finance, marketing, and so on.
My job was to create the algorithms which analyzed the data and turned it into words. We sold to a private equity firm in 2015, and our tech, prehistoric as its origins may be, is still being utilized by Yahoo Fantasy Football, the Associated Press, and dozens of other organizations.
Anyway, as we made our meteoric rise from two engineers and a handful of young developers to a VC-backed, 75-person company, journalists took interest. I did a lot of interviews with major media outlets, and almost every single interview ended with the journalist turning off their recording device and asking, off the record:
“You’re coming for my job, aren’t you?”
My response was to get them back on the record and tell them firmly, and flatly, no. Not you. While there were plenty of technological shifts plaguing journalism and media at the time, we weren’t part of the problem.