AI will replace routine — freeing people for creativity.

That’s what technological optimists have been saying for decades. But today, the reality is far more mundane: the widespread use of artificial intelligence (AI) is replacing people. The world of human labor is fading faster and more ruthlessly than we’re used to. The problem is no longer just unemployment as a temporary phenomenon, but a system in which people, once laid off, have nowhere to go.

According to data from the world’s largest job board, Indeed, demand for IT jobs is rapidly declining. Backend development, testing, technical analysis — all of this is being automated faster than education systems can adapt. Since the end of 2022, global tech corporations have laid off more than 635,000 employees. Behind this figure are engineers, designers, analysts, UX specialists — people who, until recently, were considered the elite of the digital world.

These layoffs are not temporary. They reflect a structural shift in the logic of labor. GPT platforms, code generators, and automated data processing pipelines are making the traditional employment architecture obsolete. The key change is the speed. Technology is replacing people faster than governments, societies, and families can adapt.

This is precisely why the issue of universal basic income (UBI) is resurfacing — not as a utopian idea from leftist manifestos, but as a political mechanism to prevent the collapse of the social structure. In a world where even highly skilled labor is losing its uniqueness, a new question emerges: how can we ensure people have basic agency in a world where there’s no work for them?

Another paradox arises: layoffs are most common in sectors that were, until recently, considered the flagships of the “new economy.” Technological progress, built by the hands of thousands of engineers, has become the very force pushing them out. In this sense, neural networks are not just changing the market — they are transforming the very notion of human usefulness. Right now — while replacement is happening in the upper tiers of professions — society must ask: who will be needed? And what will be the status of the rest?

Source – citation

The problem is that even those supposedly “freed for creativity” are now being squeezed by modern neural networks. After all, why pay a mid-level artisan-artist if a neural net can generate a more-or-less decent image with minimal cost? Voice actors encountered this same issue when it became clear that neural networks could already deliver passable voiceovers that closely resemble the original. No, it’s not perfect yet — but give it a few years, and neural voiceovers will become the norm.

Naturally, in an environment where the state aims to reduce its basic obligations and the service sector is growing, the influx of “valuable creative professionals” into the labor market creates a permanent problem — one that will only worsen as neural networks (and in the future, quasi-AI) continue to evolve, bringing to life the grim forecasts of 1980s cyberpunk. It appears that within the capitalist system, this problem is unsolvable (as, indeed, are many others).