Companies consider AI-systems to replace forecasting in legacy systems, hoping for improved accuracy and automation, even abandoning human demand planning teams.These decisions are often based purely on technological hype. We present a case study of the cost savings achievable by 1% Forecast Accuracy from AI forecasting (depending on data) and automation, against the cons of lost accuracy from judgmental adjustments showing that AI can improve Analytics but not repace human experts.