October 2, 2026

AI Raises Customer Expectations Faster Than Service Quality

Alchemer: 89% of consumers have experienced negativity from AI in service, and 44% complain about the inability to reach a live specialist.

2 min read

AI is making customers expect more and tolerate lessAI-generated

Nearly six in ten consumers expect faster responses from companies if they know the companies use artificial intelligence. These figures come from Alchemer's "2026 AI & Customer Expectations Study." At the same time, 89% of respondents said AI has worsened their customer experience in at least one aspect.

Alchemer surveyed 2,009 U.S. consumers about the role of AI in customer service. The results put marketers and CX teams in a difficult position: the more often companies use AI to speed up behind-the-scenes processes, the faster customers begin to expect the experience itself to become quicker and more convenient.

How Long to Wait for a Response

45% of consumers reported that the development of AI has raised their expectations of companies in general. Nearly 30% expect acknowledgment of their feedback within 24 hours, and 16% expect it immediately.

The top complaint turned out not to be privacy, inaccurate information, or irrelevant recommendations. The leader is the difficulty of reaching a live human — 44%. This is especially painful given that one of the goals of AI-powered service is cutting costs by reducing human involvement.

Speed Is Not Enough

Consumers expect AI to speed up problem resolution: 38% want faster resolution of issues — the most common request — while another 34% ask for faster responses.

But speed isn't everything. One in five (20%) said AI increased the time it took to resolve their problem, and 30% had to repeat information they had already provided.

This changes the approach to evaluating automation. First response time metrics and the share of conversations resolved by bots can show success in AI interactions even if the customer returns with the same issue through another channel. A more accurate picture requires linking interactions across channels and tracking repeat contacts, the share of reopened cases, and time to full resolution.

Understanding Matters More Than Personalization

37% of consumers received an answer from AI that did not understand their question or need. 26% received incorrect information, and 19% received irrelevant recommendations or answers.

Unsurprisingly, 29% want AI to better understand their needs, and 24% want a more relevant and personalized experience.

A system may hold a vast amount of data about a customer and still fail the interaction if it misinterprets their current intent. AI is known for weak understanding of nuance and context, and adding new profile attributes won't solve that problem. Every customer-facing AI system needs to be tested for understanding the purpose of the customer's inquiry, not just the correctness of the answer. Confidence thresholds and escalation rules to a human are critical when the system is uncertain.

Experienced AI Users Are the Harshest Critics

The consumers most familiar with AI turned out to be its harshest critics. Daily users are more likely than rare users to describe AI interactions as impersonal: 40% versus 22%. They are also more concerned that AI jumps to premature conclusions without sufficient basis.

At the same time, daily users are more willing to pay for access to humans: 27% are ready to pay extra for guaranteed human support versus 10% among rare users. Overall, 43% of all consumers are willing to pay more for a product or service with guaranteed access to a live specialist.

Customers willing to pay for what they used to get for free benefit the company's finances. But it's hard to call that a victory.

Original: alchemer.com

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Анна Соколова

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