We Are In A Trust Recession, Says Alice Sesay Pope episode artwork

EPISODE · Jul 14, 2026 · 51 MIN

We Are In A Trust Recession, Says Alice Sesay Pope

from A Beginner's Guide to AI

Generative AI trust is becoming one of the biggest leadership challenges in business.In this episode of Beginner’s Guide to AI, Dietmar Fischer speaks with Alice Sesay Pope, author of The Trust Algorithm: How Leaders Build Trust with Generative AI, about why AI success cannot be measured only by speed, automation, or cost reduction.Alice describes a growing “trust recession” where customers are unsure whether brands are acting in their best interest, employees are unsure whether AI will help or replace them, and leaders are under pressure to prove AI ROI before they have built the right strategy, governance, and human oversight.The conversation explores why AI customer service often disappoints, why bad data can mislead both chatbots and human agents, and why companies should not deploy generative AI just to say they are using it.You will also hear why leaders need to think about token costs, risk, guardrails, change management, psychological safety, reskilling, and privacy before scaling AI across the business.This episode is for founders, executives, consultants, marketers, customer experience leaders, and anyone trying to understand how to use generative AI responsibly without losing customer trust.Key TakeawaysWhy we are entering a generative AI trust recessionWhy AI customer service can damage brand loyaltyWhy AI ROI fails when leaders focus only on cost cuttingWhy human oversight and verification still matterWhy reskilling employees is a leadership responsibilityWhy agentic AI creates new trust and privacy questionsWhy companies need AI governance before scaling AIGet My Newsletter📧💌📧Tune in to get my thoughts and all episodes. Don't forget to subscribe to our Newsletter:https://beginnersguide.nl📧💌📧About Dietmar FischerDietmar Fischer is a podcaster and AI marketer from Berlin.If you want help with AI strategy or digital marketing, visit:https://argoberlin.comQuotes from the Episode“We are in a trust recession.”“Don't just use AI just to be utilizing. Use it purposefully.”“There's no technology solution that I believe can be effective without thinking of the human impact.”Chapters00:00 Opening and Alice’s AI background01:38 The Trust Algorithm and the trust recession04:13 Why AI answers still need human verification08:34 When customer service AI gets trust wrong13:56 Why leaders need AI strategy, ROI, and guardrails20:20 Human impact, reskilling, and change management30:13 AI agents, privacy boundaries, and practical executive use casesWhere to Find AliceWebsite: AliceSesayPope.comLinkedIn: Alice Sesay PopeBook: The Trust Algorithm: How Leaders Build Trust with Generative AI Hosted on Acast. See acast.com/privacy for more information.

Episode metadata supplied by the publisher feed · Published Jul 14, 2026

Generative AI trust is becoming one of the biggest leadership challenges in business.In this episode of Beginner’s Guide to AI, Dietmar Fischer speaks with Alice Sesay Pope, author of The Trust Algorithm: How Leaders Build Trust with Generative AI, about why AI success cannot be measured only by speed, automation, or cost reduction.Alice describes a growing “trust recession” where customers are unsure whether brands are acting in their best interest, employees are unsure whether AI will help or replace them, and leaders are under pressure to prove AI ROI before they have built the right strategy, governance, and human oversight.The conversation explores why AI customer service often disappoints, why bad data can mislead both chatbots and human agents, and why companies should not deploy generative AI just to say they are using it.You will also hear why leaders need to think about token costs, risk, guardrails, change management, psychological safety, reskilling, and privacy before scaling AI across the business.This episode is for founders, executives, consultants, marketers, customer experience leaders, and anyone trying to understand how to use generative AI responsibly without losing customer trust.Key TakeawaysWhy we are entering a generative AI trust recessionWhy AI customer service can damage brand loyaltyWhy AI ROI fails when leaders focus only on cost cuttingWhy human oversight and verification still matterWhy reskilling employees is a leadership responsibilityWhy agentic AI creates new trust and privacy questionsWhy companies need AI governance before scaling AIGet My Newsletter📧💌📧Tune in to get my thoughts and all episodes. Don't forget to subscribe to our Newsletter:https://beginnersguide.nl📧💌📧About Dietmar FischerDietmar Fischer is a podcaster and AI marketer from Berlin.If you want help with AI strategy or digital marketing, visit:https://argoberlin.comQuotes from the Episode“We are in a trust recession.”“Don't just use AI just to be utilizing. Use it purposefully.”“There's no technology solution that I believe can be effective without thinking of the human impact.”Chapters00:00 Opening and Alice’s AI background01:38 The Trust Algorithm and the trust recession04:13 Why AI answers still need human verification08:34 When customer service AI gets trust wrong13:56 Why leaders need AI strategy, ROI, and guardrails20:20 Human impact, reskilling, and change management30:13 AI agents, privacy boundaries, and practical executive use casesWhere to Find AliceWebsite: AliceSesayPope.comLinkedIn: Alice Sesay PopeBook: The Trust Algorithm: How Leaders Build Trust with Generative AI Hosted on Acast. See acast.com/privacy for more information.

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We Are In A Trust Recession, Says Alice Sesay Pope

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Generative AI trust is becoming one of the biggest leadership challenges in business.In this episode of Beginner’s Guide to AI, Dietmar Fischer speaks with Alice Sesay Pope, author of The Trust Algorithm: How Leaders Build Trust with Generative AI,...

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