EP 304: How to Avoid the AI Trust Recession episode artwork

EPISODE · Aug 7, 2026 · 22 MIN

EP 304: How to Avoid the AI Trust Recession

from Retail Unwrapped - from The Robin Report · host The Robin Report

We'd love to have your feedback and ideas for future episodes of Retail Unwrapped. Just text us!Who, or what, do you trust? Retailers who think moving quickly on generative AI as the winning strategy, may be sacrificing trust for speed driven by board and competitive pressure, not customer demand. Speed without building a trust framework is how brands may lose the very customers they're racing to win. Join Shelley and Alice Pope, author of The Trust Algorithm: How Leaders Build Trust with Generative AI to get up to speed on a current trust recession. Alice says that we are facing more customer data than ever yet have a deeper skepticism about AI than ever. This conversation unpacks why unclear ownership, rushed rollouts, and eroding employee trust are creating governance gaps and quietly undermining the AI strategies retail boards have invested in. Listen and learn how to avoid the trust recession.Guest: Alice Pope, author, The Trust Algorithm: How Leaders Build Trust with Generative AI. For more strategic insights and compelling content, visit TheRobinReport.com, where you can read, watch, and listen to content from retail industry experts, and be sure to follow us on LinkedIn, Instagram and Twitter.

Episode metadata supplied by the publisher feed · Published Aug 7, 2026

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We'd love to have your feedback and ideas for future episodes of Retail Unwrapped. Just text us! Who, or what, do you trust? Retailers who think moving quickly on generative AI as the winning strategy, may be sacrificing trust for speed driven by board and competitive pressure, not customer demand. Speed without building a trust framework is how brands may lose the very customers they're racing to win. Join Shelley and Alice Pope, author of The Trust Algorithm: How Leaders Build Trust with Ge...

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EP 304: How to Avoid the AI Trust Recession

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