Why Customers Push Back on AI and How to Design Experiences They Trust

Conversations about AI in customer service seem to revolve around one recurring message: customers don’t want AI. Just a few minutes on Reddit or LinkedIn, and you’ll find countless posts from frustrated customers criticizing chatbots and automated phone systems, while business leaders continue to champion AI as the future of customer experience.

According to Gartner, 64% of customers would prefer companies not to use AI for customer service. At first glance, it seems like customers and CX leaders are pulling in opposite directions.

But in reality, online discussions and people’s opinions reveal a more nuanced story. All customers care about one main thing in customer service: how AI is impacting their experience with a brand. Ultimately, customers don't judge your AI strategy; they judge whether your brand solved their problem, respected their time, and made the interaction feel effortless.

So, what’s driving the skepticism? To answer that, we first need to understand what customers are actually reacting to.

Why Customers React Negatively to AI

When customers say they don't like AI, they often express very different concerns. Their hesitation is shaped by perception, unfamiliarity, and previous experiences:

• Fear of losing the human touch: For the past few years, headlines have focused on AI replacing jobs and human interactions. It's no surprise that many customers worry they'll lose access to empathy, flexibility, or the reassurance of speaking with another person. As a result, many associate "AI-first" with "human-last," even when that isn't an organization's intention.
• Unfamiliarity with AI interactions: Not everyone knows how to interact with AI. Many customers approach AI with expectations shaped by years of traditional customer support, expecting to immediately reach a live agent or assuming the technology won't understand their needs. According to Hyken’s latest ACA Study, 77% of customers report reaching an automated system, repeatedly asking for an agent, and eventually hanging up out of frustration, while nearly 3 in 4 boomers only want to talk to a live person.
• Poor experiences: For many customers, skepticism comes from experience rather than perception. They’ve already encountered chatbots that provide generic answers, trap them in endless loops, lose context throughout conversations, or ask them to repeat their information over and over.

Regardless of why customers feel hesitant about AI, they all judge the same thing in the end: the experience. Customers care that your brand solves their problem; remembers who they are, and makes every interaction feel effortless. They want to feel known and valued, especially after years of loyalty. Whether that experience is delivered by a person, AI, or a combination of both is secondary.

When interactions become fragmented by poorly designed AI experiences, however, the technology becomes impossible to ignore. Customers leave believing that AI is the problem, reinforcing their skepticism toward automated customer service. At the same time, that frustration shapes how they perceive your brand and the quality of service you provide.

This represents a challenge for CX leaders because deploying more AI won’t make you successful; designing intuitive AI experiences will. When AI creates friction, it becomes the face of the bad experience, while your brand bears the lasting consequences. The goal, then, is to design AI around customer experience. That starts by shifting the conversation away from the technology itself and toward building a strategy that solves real customer and business problems.

Designing AI Around the Customer Experience

The pressure to adopt AI is real. Organizations are being asked to improve efficiency, reduce costs, and deliver better customer experiences. But adopting AI without a clear strategy can have the opposite effect, creating friction that damages customer relationships and erodes trust in your brand.

According to an Avaya study by Forrester Consulting, nearly half of organizations adopt AI in the contact center for financial reasons, turning it into a short-term fix rather than a long-term CX strategy.

The most successful organizations take a different approach. Rather than starting with AI, they begin with the customer in mind. As noted in research from MIT NANDA, the framework is simple: “Pick one pain point, execute well, and partner smartly.”

In practice, that means identifying a specific challenge, establishing a baseline to measure improvement, and defining what success looks like from the outset. This “problem-pull” approach moves the conversation from “Where can we use AI?” to “Where can AI create a better experience?”

Once those pain points are identified, AI should no longer be viewed as just another tool. It becomes a business capability that transforms how your organization serves customers, empowers employees, and continuously improves the customer journey.

Why Agentic AI Changes Customer Experience

As organizations compete for customer attention, expectations continue to rise. Customers expect faster resolutions and memorable experiences. Nonetheless, traditional chatbots weren’t designed for this level of complexity. Most operate within predefined workflows, responding to prompts without understanding the broader customer journey.

That’s where agentic AI represents a fundamental shift. According to Amazon Web Services, instead of simply responding to requests, it can perceive what's happening, reason over customer context, learn from previous interactions, and act across systems to move customers toward a resolution. Agentic AI, when established in the right foundation, will understand customer intent use accurate business knowledge, and take meaningful actions.

Delivering this kind of experience isn’t as simple as deploying a chatbot. As Pasquale De Maio, Amazon Connect VP, describes, many organizations find themselves between “legacy platforms that don’t really understand AI” and point out solutions that promise to solve everything but struggle with the complexity of enterprise customer experiences.

Building the Foundation for AI Success

Agentic AI opens the door to more connected and intelligent customer experiences, but technology alone isn't enough. The organizations that succeed are those that build the right foundation before expecting AI to deliver meaningful outcomes.

Building that foundation often requires moving from legacy systems toward modern, AI-powered CX platforms like Amazon Connect Customer. These solutions provide the capabilities organizations need to redesign intelligent workflows, connect trusted data, establish clear governance, and enable seamless collaboration between AI and human agents, all while keeping the customer experience in the center.

Just as importantly, businesses need to approach AI as a long-term CX strategy rather than a standalone technology project. The right foundation, implementation, and architecture can make the difference between AI that creates friction and AI that actually improves every customer interaction.

At USAN we help organizations build that foundation on Amazon Connect Customer. As a Connect launch partner, we work with businesses to design AI around their business needs and customer experience, so every interaction is connected, personalized, and built for long-term success.

Ready to design AI that customers value? Let's build experiences they’ll actually trust. Schedule a call with the USAN team to explore how the right CX foundation can help you deliver seamless, connected, customer-first experiences.