The hidden costs of enterprise AI: verification and context skew your ROI metrics
jonerp · x · 2026-10-05
- diginomica's weekly roundup tackles whether AI + analytics actually equals value, and why metrics fail to translate into business outcomes.
- Domo's Chief AI and Analytics Officer Ben Schein argues the metrics challenge isn't just tracking productivity or model costs — tokenomics anxiety is real — but understanding the hidden costs of verifying AI output and providing the right business context.
- Agreed-upon metrics can contain hidden costs that skew stated goals; the piece questions whether what's been built with AI has become a burden without corresponding benefits, and suggests decomposing cost into components like inference cost.
- Also covers doomsday narratives vs enterprise realities: recursive self-improvement is questionable, but cybersecurity is not.
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