---
title: "Trust is the new currency in CX: how to build confidence in AI-powered experiences"
description: Learn how to earn customer confidence with ethical, transparent AI. Download the free eBook to learn more.
---

[Blog ](https://www.glance.cx/blog)

# [Trust is the new currency in CX: how to build confidence in AI-powered experiences](https://www.glance.cx/blog/trust-is-the-new-currency-in-cx-how-to-build-confidence-in-ai-powered-experiences)

 Written by [Jeremy Majchrzak](https://www.glance.cx/blog/author/jeremy) | Nov 12, 2025 7:20:08 PM

AI is changing how customers interact with brands, from chatbots that handle support requests to intelligent tools that anticipate what you need before you even ask.

But as AI takes on more responsibility, one question matters most: *can your customers trust it?*

Trust isn’t automatic. It’s earned. And in customer experience, it’s the difference between loyalty and churn.

According to [Salesforce](https://www.salesforce.com/small-business/what-are-customer-expectations/), 68% of consumers say AI makes trust even more important. Yet [less than half](https://kpmg.com/xx/en/our-insights/ai-and-technology/trust-attitudes-and-use-of-ai.html) of people globally say they actually *trust* AI systems. That’s a gap no brand can afford to ignore.

Let’s look at what breaks customer trust - and what you can do to strengthen it.

### Why trust matters more than ever

Whether it’s financial services, healthcare, or online retail, AI is now embedded in critical customer moments. It’s helping people check claims, schedule care, or make purchase decisions in seconds.

But without transparency and human connection, customers can feel uneasy. They want to know when AI is being used, how it makes decisions, and that they can reach a real person if needed.

When that clarity is missing, trust breaks down, and the fallout is fast:

- Customers opt out of AI experiences
- Confidence in your brand drops
- Churn increases

The fix starts with understanding what erodes trust in the first place.

### **Common trust breakers to avoid**

Even the best technology can backfire when customers feel confused or misled. Here are some of the biggest pitfalls to watch out for:

**1. Hidden AI use  
**If customers only realize they’re talking to a bot after something goes wrong, it feels deceptive. Be upfront about where AI fits in.

**2. No clear human fallback  
**If customers can’t easily reach a person, frustration grows. Always offer a clear path to human help.

**3. Opaque or biased decisions  
**When AI makes a call, like approving a claim or recommending a product, customers deserve to understand *why*. Lack of explanation can mean lack of trust.

**4. Rigid automation  
**One-size-fits-all flows ignore nuance. AI should be flexible enough to recognize when an issue needs human judgment.

**5. Bots pretending to be human  
**If a system sounds human but isn’t, customers feel tricked. Transparency beats imitation every time.

Each of these mistakes erodes confidence, but they’re all avoidable with a thoughtful, ethical approach.

**Turning transparency into a trust advantage**

When companies lead with clarity, empathy, and accountability, AI becomes an opportunity to strengthen relationships, not strain them.

Transparency isn’t just about disclosure. It’s about showing customers that your technology was designed with *them* in mind.

Download our free report

Want to go deeper? Download our free eBook, *Trust and Transparency in AI-Driven CX*, for practical steps to build ethical, transparent AI systems that keep customers confident and loyal.

[Download your copy here](https://www.glance.cx/ebooks/trust-and-transparency-in-ai-driven-cx).

 

[View full post](https://www.glance.cx/blog/trust-is-the-new-currency-in-cx-how-to-build-confidence-in-ai-powered-experiences)

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