

Generative AI is not the panacea we’ve been promised | Eric Siegel for Big Think+
6 snips Aug 29, 2025
Eric Siegel, CEO of Goodr AI and author of The AI Playbook, discusses the misconceptions surrounding generative AI. While it's capable of impressive tasks, Siegel warns that it requires human oversight and isn't a standalone solution. He highlights the value of predictive AI, which provides concrete benefits like fraud detection and logistics optimization. Using UPS as an example, he explains how predictive modeling saved $350M by forecasting deliveries. Ultimately, it's about leveraging AI for practical, actionable insights.
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Generative Hype Versus Practical Power
- Generative AI is impressive but overhyped and won't run the world for you.
- Predictive AI remains the practical engine with untapped enterprise value.
Fluency Isn’t Reliability
- Generative models often appear human-like because they stitch correct words at a low level.
- That surface fluency doesn't guarantee reliability or autonomous trustworthiness.
Apply Predictive Models To Core Operations
- Use predictive AI to improve and automate high-volume enterprise decisions.
- Deploy models to prioritize actions like marketing, fraud detection, inspections, and patient triage.