AI and Jobs
The honest answer is that nobody knows. AI does not eliminate professions cleanly or predictably. It mutates them, compresses entry pathways, and bifurcates roles between an automated layer and a residual human one. The question is not whether your profession is safe. It is where the automation line falls, and how fast it moves.
We are building a case-study series across the professions most exposed to AI displacement. Radiology, law, software engineering, creative industries. Each article examines one profession through the same structural lens: what AI can already do, where human expertise still holds, and what the career path actually looks like for someone entering the field in 2026.
The pattern is consistent across all of them. AI does not arrive as a replacement. It arrives as an augmentation tool, improves continuously, and at some point the efficiency gains it produces reduce the aggregate headcount required. The timing differs by profession. The direction does not.
AI reads scans. Ninety percent of U.S. health systems have deployed it for radiology. Only 19% report high success. The radiologist is not disappearing. But the career path is becoming impossible to plan, and that uncertainty is its own kind of damage.
Larry Fink has told a generation of college graduates that they studied the wrong thing. He is not entirely wrong. But BlackRock's $100M answer to a 300,000-worker deficit is not a solution. It is a press release.
Anthropic's new labor study finds no unemployment spike yet. Read it carefully. The signal worth watching is buried in the last section: the hiring door for young workers is already narrowing.
28% of game developers have been laid off in the past two years. 52% now say generative AI is bad for the industry. The GDC 2026 report is not a warning. It is a body count.
