For several decades, there has been discussion about which areas of the labor market will be most affected by advances in artificial intelligence. However, this debate has taken on a whole new dimension with the massive emergence of language models in December 2022. … The unprecedented success of ChatGPT revealed in a few weeks a truth that is difficult to accept: artificial intelligence does not threaten manual professions as much as intellectual professions. But which ones are most threatened?
One of the most heard voices in this debate is, as seems logical, that of Elon Musk. The richest man in the world, founder of leading companies in the development of AI and robotics, has been saying for years that in the long term, virtually all jobs will eventually disappear and that it will be necessary to establish a universal basic income to support the economic system.
In a recent conference on the famous podcast Joe Rogan He talked specifically about what would happen before we got to that point and which jobs he thought would disappear in the short to medium term and which ones would be the most resilient.
AI and human productivity
As he explains, artificial intelligence remains, for the moment, fundamentally digital. This means that it is particularly effective for tasks performed entirely on a computer. In contrast, jobs that involve manipulating physical objects, moving through space, or interacting with the material world will continue to exist much longer. According to him, AI can “improve the productivity of humans who work with their hands”, but cannot massively replace them in the short term.
ELON MUSK: IF YOUR JOB IS TO MOVE ATOMS, YOU’RE SAFE. IF IT CONSISTS OF MOVING FIGURES, THE AI WILL REPLACE YOU AT LIGHTNING SPEED.
“AI remains fundamentally digital. Ultimately, it can increase the productivity of people who work with their hands.… pic.twitter.com/xMRlZAF9WE
– Ben Pierron (@Ben_egrado) December 11, 2025
“Any digital job, where someone is at a computer doing something, AI is going to do it at lightning speed,” he said. And he gave specific examples such as programming or similar tasks. He says the process will be comparable to when computers replaced people doing manual calculations, but “much faster.”