AI's Impact on Jobs: Which Unusual Roles Might Endure?
The rapid advancement of generative artificial intelligence is prompting renewed scrutiny of its potential to reshape the global labor market, with some experts suggesting that only a handful of unconventional professions may withstand the coming transformation.
Adam Dorr, director of research at RethinkX, a nonprofit that analyzes technology-driven disruptions, told The Guardian that AI now targets human labor itself. He argues that as the cost of machine-based work plummets, employers will inevitably switch to cheaper alternatives, much like the transition from horses to automobiles or film to digital cameras.
“We’ve seen that pattern before,” Dorr said. “If I can get the same thing or better for the same or lower cost, switching is a no-brainer.” He added that “machines that can think are here, and their capabilities are expanding day by day with no end in sight,” urging that society has limited time to prepare.
While many jobs are at risk, Dorr identified an eclectic list of roles he believes will remain in demand: sports coaches, politicians, sex workers, and ethicists. However, he cautioned that these niches are far too small to employ the billions who may lose their current positions.
Beyond the Headlines: Broader Warnings
Dorr is not alone in predicting selective survival. Geoffrey Hinton, often called the “godfather of AI,” suggested in a June podcast that blue-collar trades like plumbing could remain secure, while white-collar roles such as paralegals and call-center workers face serious threats.
The potential scale of disruption is immense. Jim Farley, CEO of Ford, predicted earlier this month that AI could replace “literally half of all white-collar workers in the US.”
Yet skepticism is warranted. Companies have repeatedly encountered technical glitches and unforeseen hurdles when attempting to deploy AI at scale, slowing the anticipated wave of replacement.
Moreover, a future where AI displaces a critical mass of workers raises fundamental questions about the structure of the economy. OpenAI CEO Sam Altman argued last month that humanity has historically adapted, saying, “we have always been really good at figuring out new things to do.” He acknowledged that new roles might appear “sillier and sillier looking from our current perspective.”
Dorr himself admits uncertainty. “I don’t have the answers,” he told The Guardian. “We don’t even know if we have the right questions. We need to experiment now and try out new ownership structures, new stakeholder structures.”
As the debate continues, the only certainty is that the path forward remains unclear, with experts urging proactive experimentation to navigate the uncharted territory of an AI-driven economy.
