AWS on Managing AI Costs and Enterprise ROI

“Just because you’re the biggest spender doesn’t mean you’re going to deliver the biggest value,” Chris Hennesey, Enterprise Finance Strategist and Executive in Residence at AWS, tells Bloomberg Intelligence Senior Technology Analyst Anurag Rana. In this episode, the pair discuss how enterprises are grappling with rising AI costs, from forecasting token consumption and eliminating waste to choosing the right mix of frontier, open-weight and smaller models. Hennesey explains why caching, intelligent model routing and tighter cost attribution can improve AI economics, while companies increasingly need to connect productivity gains to measurable business outcomes and ultimately the P&L.