The outcome may say more about AI than anyone expected.

For years, experts predicted that certain high skill professions would be among the first to fall to artificial intelligence. The tools arrived quickly, the data sets expanded, and the forecasts sounded confident. But inside one critical field, the results have been more complicated. Algorithms perform impressively in controlled settings, yet real world decisions continue to resist full automation. As researchers examine outcomes more closely, a pattern is emerging that raises uncomfortable questions about what machines can do, and what they still cannot replicate.



