Artificial intelligence is rapidly becoming both the programmer and the code reviewer. As humans shift from building software to supervising it, one important question emerges: when AI writes the software and AI reviews the software, who actually understands the software?
In 2026 we worried AI would replace a few professions. By 2099, we discovered we had been asking the wrong question. The real issue wasn’t which jobs AI would take—it was which jobs humans would still be better at. A humorous prophecy about work, technology, and the future of civilization.
Artificial intelligence may be changing how decisions are made, but it should not change who is responsible for them.
Modern institutions increasingly optimize for liability reduction, optics, compliance, and process management instead of truth, effectiveness, or human judgment.
The result is a system that often protects itself better than it serves people.
Humanity once used convenience to save time. Eventually, convenience became so deeply embedded into daily life that even minor disruptions triggered confusion, anxiety, and complete societal dysfunction.
Modern civilization now runs on invisible systems understood by fewer and fewer people.
From AI and cloud computing to logistics, algorithms, and digital infrastructure, society increasingly depends on technological systems most people cannot explain, audit, or function without.
AI layoffs may not be delivering the ROI companies expected. New research suggests the real winners are not replacing people — they are using AI to make smart teams dramatically more effective. The difference comes down to whether companies use AI like a scalpel or a chainsaw.
JPMorgan Chase CEO Jamie Dimon says not to worry about AI, promises “proper regulation,” and insists tech isn’t to blame for weak jobs and wages. Chatrodamus calls BS, breaks down the corporate spin, and asks who really wins when Wall Street, DC and Big Tech roll out the AI tractors of the future.
AI can be useful, fast, and impressive. But the moment people start treating it like an authority instead of a tool, the machine stops helping and starts training humans to surrender judgment.