28/04/2026
AI steals jobs…
Artificial intelligence does not “take” jobs in the way it is often portrayed - it primarily transforms, redistributes, and redefines them. Recent global research indicates that AI can fully automate only about 2.5% of jobs, while most occupations undergo partial change rather than disappearance. In practice, this means technology is not replacing people, but changing how they work.
At the same time, the effects are paradoxically positive: in sectors most exposed to AI, productivity is growing up to four times faster, while workers with AI-related skills earn on average 56% higher wages. Even roles most susceptible to automation are experiencing employment growth of around 38%, confirming that AI is creating more opportunities than it eliminates.
The key shift is not in the number of jobs, but in the structure of work. By 2030, it is estimated that around 92 million jobs may disappear, but at the same time as many as 170 million new ones will emerge, resulting in a net increase in global employment.
However, what is changing dramatically is the skill set required - job requirements are evolving 66% faster than before, creating a clear divide between those who adapt and those who fall behind.
Additionally, modern studies show that up to 78% of AI interactions involve “augmentation”, meaning the enhancement of human work rather than its replacement. In other words, AI most often does not work instead of humans, it makes capable individuals significantly more efficient.
The conclusion is clear: AI does not “steal” jobs randomly. It systematically eliminates routine, passivity, and low productivity, while rewarding adaptability, knowledge, and initiative. In that sense, the greatest risk is not the technology itself - but the failure to adapt to its evolution.
