Mass unemployment hasn’t arrived. But the claim that “nothing has changed” no longer holds up either.
Five years ago, most people answered the question “should I go into tech?” the same way: yes. Learn Python, build a few projects, land your first job, gain experience, grow. It wasn’t a guarantee, but it worked well enough that millions of people built their plans around it. Today the answer isn’t so obvious — not because developers are no longer needed, but because nobody can honestly say what that first career step will look like in three or four years.
AI trading in 2026 is real—but its most important achievement is not predicting the market.
Brokers, exchanges and crypto platforms are adding AI summaries, portfolio assistants, natural-language chart tools, research workflows and agentic execution. These products make it much easier to move from a market event to an explanation, from an idea to a strategy, and sometimes from a command to an order.
The evidence is much weaker on the question that attracts the most attention: can AI consistently turn that convenience into profit?
A reported essay on fear, candor, and the new jobs born beside AI
Last August, Mateusz Demski, a radio journalist in Kraków, walked into the studio for the last time. His termination notice was bloodless: “financial reasons.” A few months later the station’s schedule carried shows hosted by avatars—perfect voices that never needed a pause or a sick day. “I spent twenty years learning to love silence on air,” he told me.
Doctor? Optional. How AI Is Disrupting Healthcare Before Regulations Catch Up
Denys Voroshylov
Introduction: Three Diagnoses and One Algorithm I live in Poland and, as a taxpayer, have access to the national health insurance system (NFZ). In emergency situations, it works well — if something is seriously wrong, you’ll be saved, treated, hospitalized. But for “smaller” issues — recurring cystitis, ear inflammation, or a dependency on nasal sprays — things get tricky.
AICaver
