Scenario Planning for AI and the “Jobless Future” ↗
The author reviews conflicting studies on AI's impact on jobs, noting both job losses and wage/policy counterpoints. He advocates scenario planning as a method to prepare for multiple plausible futures rather than predicting a single outcome. The proposed framework uses two crossing uncertainties—capability/adoption speed and efficiency vs. expansion goals—to map four quadrants and derive robust strategies."