Is It Really an AI Layoff?

Learning Objective: By completing this Nano Learning course, participants will be able to:

• Classify a headcount reduction justified with AI as replacement, reallocation, anticipation or correction, and apply the evidence test for each: process data, payback on what is bought, proof the capability runs in production, or a pre-growth baseline
• Evaluate a voluntary exit program for budgeting, including uncertain uptake, the risk that employees with the best outside options leave first, and how trading salaries for capitalized AI spending shifts cost from operating expense to later depreciation