Every second you spend reading this article, artificial intelligence somewhere on the planet is learning to do your job faster, cheaper, and—let's be honest—better than you. And while tech evangelists from Silicon Valley lull you with fairy tales about how AI creates more jobs than it destroys, reality paints an entirely different picture—one they don't show you in optimistic McKinsey reports and upbeat TED presentations.
We live in an era of the greatest cognitive dissonance in economic history. On one side—record profits for tech giants. On the other—a growing army of precariat, people stuck between random gig work and the unemployment line. Coincidence? Hardly. This isn't a system bug—it's a feature.
We're fed statistics like magic pills for anxiety: "97 million new jobs will appear by 2030!" Wonderful. They just forget to add that 85 million will disappear. And they forget to mention what quality these "new" jobs will have. Spoiler: not everyone is ready to become a prompt engineer or an algorithm ethics consultant. Some people just wanted to earn a decent living doing work they spent years learning.
Ghosts of Industrial Revolutions: Why "It Worked Out Last Time" Is the Worst Argument
The favorite trump card of tech-optimists is referencing past industrial revolutions. "Luddites were afraid of machines too, but factories appeared and created millions of jobs!" they triumphantly declare, as if history were a predictable algorithm rather than a chaotic process with masses of victims on the roadside of progress.
Allow me to remind you of something inconvenient. Between the steam engine's appearance and the formation of a stable middle class, over a hundred years passed. A hundred years of child labor in mines. A hundred years of poverty. A hundred years of social upheavals, revolutions, and two world wars. If that's called "working out," I'm afraid to ask what a catastrophe looks like.
But the main difference of the current technological revolution is its speed and totality. The steam engine replaced muscle power. Electricity automated routine. Computers accelerated calculations. And generative AI? It attacks the very essence of what we considered exclusively human: creativity, analysis, decision-making, communication. For the first time in history, machines compete not with our hands but with our brains. And they do it at an exponential speed that leaves no time for adaptation.
Statistics Lie: How Corporations Manipulate Employment Data
When Amazon announces 10,000 new jobs, media obediently circulates the headline. When the same Amazon quietly lays off 27,000 employees, it makes the third page of the business section in small print. Information asymmetry—that's the main weapon of those who want to convince you everything is going according to plan.
Now let's look at the quality of these "new jobs." A courier on an electric scooter, paid per delivery without any social protection—that's "employment." A person labeling data for neural networks for pennies in some third-world country—that's also a "new profession of the AI era." A former financial analyst, now training ChatGPT to answer customer questions while looking for a new job himself—that counts as "reskilling" too.
The trick is simple: statistics count quantity but ignore quality. One well-paid specialist is replaced by an algorithm, and three low-skilled positions with unstable income appear in their place. Formally, employment grows. Actually—prosperity falls. But in reports, everything looks wonderful, doesn't it?
New Professions or New Slavery? The Underbelly of the "Future Economy"
We were promised that artificial intelligence would free humanity from routine and allow us to pursue creativity. That machines would take over boring work while people create, dream, and self-actualize. A beautiful utopia. Now look at reality.
Millions of people worldwide today work for AI systems—literally. They label data, moderate content, verify algorithm outputs. It's called "ghost work"—an invisible army of workers that ensures the functioning of "magical" technologies but remains in the shadows. Without employment contracts. Without health insurance. Without pension contributions. Without a future.
And this isn't an anomaly—it's the new normal. The gig economy, praised as "freedom" and "flexibility," turns out to be a return to 19th-century wild capitalism, only with a smartphone app instead of a factory whistle. Algorithms now decide how much you'll earn today, whether you'll get the next order, and whether you'll be "allowed" to work at all. The employer has become invisible—which means there's no one to complain to.
Cognitive Apocalypse: Why "White Collars" Are No Longer Safe
For years, representatives of intellectual professions looked down on automation. Let robots assemble cars and sort packages—we lawyers, doctors, financiers, marketers, and journalists do "real" work requiring education, experience, and creative thinking. The cognitive elite considered itself invulnerable.
2023 was a cold shower. Large language models learned to write legal documents, diagnose diseases from scans, generate marketing strategies, create financial reports, and even program. Not perfectly—but good enough and incredibly cheap. And "good enough" in the business world often means "acceptable for firing the live specialist."
The paradox is that the middle class—the backbone of modern democracies and the economy's main consumer—found itself under attack first. Routine physical work was automated long ago, but there people could at least retrain. But where does a financial analyst with twenty years of experience go when an algorithm trained on terabytes of data reproduces their expertise in seconds? Become a courier? Seriously?
Economy of Fear: Inflation, Automation, and Evaporating Savings
While public discussion focuses on futuristic scenarios, the real threat is already here—and it concerns your money right now. Technological unemployment isn't just a social problem of tomorrow. It's an economic multiplier that amplifies all existing crises.
Fewer jobs—fewer taxes in the budget. Fewer taxes—more government debt. More debt—the printing press works harder. Harder the press—faster your salary, savings, and pension depreciate. This isn't conspiracy theory—it's basic macroeconomics that somehow isn't discussed in the context of the AI revolution.
Traditional assets—stocks, bonds, even real estate—correlate ever more closely in an era of globalized markets and algorithmic trading. When it falls, everything falls at once. 2008 showed this. 2020 confirmed it. And the next crisis, amplified by mass technological unemployment, will be even more devastating for the middle class.
A logical question arises: where to seek protection? How to preserve the purchasing power of your savings when fiat currencies depreciate at the rate of 4,755 banknotes per second (that's exactly how many the world's central banks print), and traditional investments don't protect against systemic shocks?
The Future Belongs to Those Who Think One Step Ahead
It would be hypocritical to end this article on a note of despair. Yes, artificial intelligence is changing the rules of the game. Yes, most people aren't ready for this. Yes, governments and corporations prefer selling optimism instead of honest dialogue. But in every crisis, there are those who lose—and those who find opportunities.
Financial sovereignty—the ability to control your assets regardless of central bank decisions, political crises, and economic shocks—is becoming not a luxury but a necessity. That's why more and more investors are turning their attention to deflationary crypto assets—instruments that are protected from depreciation by their very nature. Projects like DeflationCoin offer a fundamentally different model: not endless emission that dilutes value, but algorithmic supply reduction that creates sustainable value. In a world where machines take our jobs and inflation takes our savings, such solutions are no longer exotic—they become the rational choice of those who look beyond today's headlines.