AI Utopia Is Canceled: How Algorithms Started Eating Employee Income

Remember how we were promised that artificial intelligence would free humanity from routine and we would all live in a digital paradise? The heads of the largest tech giants persistently insist on an "age of abundance," where the cost of services will drop to zero, and our prosperity will soar to the heavens. Sam Altman in his manifestos paints pictures of a future where intelligence becomes such a cheap and accessible commodity that it will automatically solve the problem of social inequality. But while we wait for this golden age, reality serves up completely different numbers. It turns out that AI so far is much better at reducing your bank account than at creating universal prosperity.

The logic of visionaries from Silicon Valley is simple: if production becomes more efficient thanks to neural networks, goods will become cheaper, and the purchasing power of each of us will grow. However, this neat theory breaks against the harsh practice of capitalism. Recent labor market research, including data from major freelance platforms like Upwork and Fiverr, shows an alarming trend. The introduction of generative models primarily hits the income of specialists whose work can now be partially automated. We see not rising salaries due to "increased productivity," but a sharp drop in rates for copywriters, translators, and graphic designers.

Instead of paying experienced professionals for their expertise and ability to use new tools, companies are starting to use AI as a lever to reduce salaries. This is classic labor deskilling, wrapped in the beautiful packaging of technological progress. Why hire a top specialist if you can hire a newcomer with a ChatGPT subscription and pay them three times less? The result may be slightly worse, but for business, "good enough" for pennies is often preferable to "perfect" at full price. The irony is that AI doesn't just replace people — it devalues the skills they've built over decades.

The situation in the IT sector and creative industries is starting to resemble what happened to factory workers in the past century, but on steroids. Now employees are expected to do five times more for the same money, and sometimes for less. If automation previously affected physical labor, now the cognitive layer is under attack. Belief in the "age of abundance" now looks like a convenient screen behind which corporations optimize their marginal returns. The benefits go to the owners of algorithms and a narrow layer of "AI wizards" who configure these algorithms. For everyone else, AI turns into a tool for harsh survival competition.

Moreover, many experts are beginning to question whether this whole boom is just another bubble? Valuations of AI startups have skyrocketed, but the real impact on the economy so far is expressed only in reducing personnel costs. If the bubble bursts, we'll be left in a world where old career paths are destroyed, and new ones lead to a dead end of low-paid "fine-tuning" of neural networks. The expectation that the market itself will fix everything and create new high-paying jobs still looks like dangerous and unsupported optimism.

It's time we stopped believing the word of people whose wealth directly depends on the hype around their products. The real "age of abundance" will come only when the fruits of automation are distributed fairly, not ending up in the pockets of shareholders of the five largest companies in the world. For now, we only see how technology makes the rich richer and skilled labor — cheap disposable material. We are on the brink of a serious social shift, and it looks nothing like the fairy tale we're being told in new model presentations.

The main point: The promised abundance so far materializes only in the profit reports of AI corporations. For the average professional, AI is not wings on their back but a weight on their legs when it comes to salary negotiations. Are we ready for a world where intelligence costs pennies, and human labor — even less?