Why AI Still Needs Human Judgment

Knowledge at Wharton

  • Jul 15, 2026
  • 11:09
  • Full Episode

ABOUT THE EPISODE What happens when companies rush to implement AI and the technology fails to meet expectations?

Santiago Gallino, Associate Professor of Operations, Information and Decisions and Associate Professor of Marketing at the Wharton School, examines the challenges companies face when moving AI from experimentation to real-world implementation.

Using examples from Starbucks and Ford, Gallino explains how inaccurate systems can undermine employee trust, disrupt operations, and damage the customer experience.

He also discusses why human judgment remains essential, how AI hype can encourage companies to scale too quickly, and why every technology investment must deliver measurable value.

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Brief Summary

Ford and Starbucks face AI challenges, highlighting the need for human oversight and careful implementation in retail.

Key points

  • AI's Reality Check at Ford and Starbucks. Ford and Starbucks are reevaluating their AI strategies after facing significant challenges. 'It's a natural evolution.'
  • The Importance of Inventory Accuracy. Santiago discusses the critical nature of inventory accuracy in retail and its challenges. 'It's not a trivial problem.'
  • Balancing Technology and Human Input. The return of human engineers at Ford highlights the need for human oversight in AI processes. 'Humans are still going to be important.'

Tension

45/ 100Some tension

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