The FP&A Guy Network · 2026-08-26 · 42 min
In this episode of Future Finance, hosts Paul Barnhurst and Glenn Hopper discuss AI fatigue, better ways for finance teams to use AI, and the growing challenge of forecasting AI costs. They explore why finance leaders should focus less on chasing new models and more on building the data, context, and workflows needed to get real value from AI. In this episode, you will discover: Why finance teams should stop chasing every new AI model. Why context is becoming more important than prompting alone. How better KPIs and data foundations improve AI results. How organizations can forecast and manage AI token costs. Why AI success should be measured by business outcomes. Paul and Glenn explain why effective AI adoption isn't about using the most tokens or knowing every new tool. It's about using AI to help finance make better, faster decisions. Follow Glenn: LinkedIn: Follow Paul : LinkedIn: Disclosure: Portions of this episode (such as the introduction or promotional segments) use AI-generated voice narration produced under human editorial review. Future Finance is sponsored by QFlow.ai , the strategic finance platform solving the toughest part of planning and analysis: B2B revenue.
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