The AI Iceberg: Navigating Hidden Costs to Reach Scalable ROI
summary
Claims that AI saves money hide concrete overruns: Gartner shows 80% of AI projects fail to deliver projected ROI, budgets often run two to three times planned, global spend hits $2.5T in 2026, and an uncontrolled token loop can spike costs by $24,000. Five hidden cost layers—data infrastructure, integration/migration, talent/upskilling, governance/compliance, ongoing maintenance—drive overruns. The recommended four-step AI cost reality framework maps costs, stress-tests scenarios, monitors budgets continuously, and measures outcomes.
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chapters (5)
- 0:00Introduction
- 2:43AI iceberg metaphor
- 7:51Hidden cost layers in AI
- 17:37Honest AI business case
- 20:48Summary
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