In the rapid rise of artificial intelligence, a quiet shift is taking place. Workers are not only doing labor, but also teaching machines how to do it.
In training programs for AI-powered humanoid robots, participants record their daily routines and household tasks. These videos become data used to help machines learn how to replicate human movements, from cleaning and organizing to other everyday chores.
Experts see this as a step forward for technology. Supporters say it could reduce repetitive work, improve efficiency, and eventually help machines take over physically demanding tasks, giving people more time for other forms of work and rest.
But for others, the development raises concerns.
Some workers see it as a possible threat to their livelihoods. If machines are being trained to perform the same tasks people rely on for income, questions arise about what happens when those machines become fully capable of doing the work themselves.
The situation reflects a broader tension in technological change: progress often brings both opportunity and disruption. As humans continue to supply the knowledge that trains AI systems, there is also growing uncertainty about how much demand will remain for human labor in the long run.
For now, the development sits between promise and concern, leaving open the question of whether this shift will benefit workers, or gradually replace the work they depend on.
Photo courtesy of AFP News Agency
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