AI was supposed to put white-collar professionals at risk. Instead, another group is shrinking fast

The standard approach to predicting AI’s impact on jobs involved building rankings based on how many of an occupation’s tasks could theoretically be handled by technology instead. Rankings like these consistently placed managers, financial analysts, and even lawyers near the top of the risk list, often above clerical positions like data entry or filing. Last week, economist Gad Levanon put that theory to the test using government employment data from the past two years, and published his…