AI chatbots frustrate customers despite rising adoption
NEW JERSEY, UNITED STATES — Early experiences with AI-powered customer service chatbots are leaving many consumers frustrated, even as businesses increasingly adopt the technology.
According to a report from CNBC, while chatbots promise efficiency and faster resolutions, users report being trapped in endless loops, deflected to FAQs, or denied refunds, highlighting a rocky start to the consumer-AI relationship.
Consumers face loops and deflection
“I hate AI customer service chatbots,” said Carmen Smith of Campo, California.
“It seems that no matter what, they all will either point you to some type of FAQs list or repeat information you’ve already tried and found lacking. I’d rather speak to a human being,” Smith added.
Smith is far from alone. Nearly one in five consumers who have used AI for customer service saw no benefit, according to the Qualtrics 2026 Customer Experience Trends Report.
“Too many companies are deploying AI to cut costs, not solve problems, and customers can tell the difference,” said Isabelle Zdatny, head of thought leadership at Qualtrics XM Institute and author of the report.
Experts note that AI often reflects corporate priorities.
“AI doesn’t change corporate incentives — it scales them,” said Ben Wiener, global head of Cognizant Moment.
“If leadership prioritizes minimizing refunds, reducing escalation to humans, or shortening call times, you can expect AI agents to reflect that philosophy in the experience — in the same way a human agent would,” Wiener added.
While automation can frustrate customers, it can also reduce burnout among human agents in high-pressure jobs.
“AI can enforce rules consistently across the board in a way humans may not be able to do, without the arguing and back-and-forth strain of being yelled at for following company rules,” said Terra Higginson, principal research director at Info-Tech Research Group.
Evolving role of AI in customer service
Despite current limitations, AI adoption in customer service is set to grow. Tom Eggemeier, CEO of Zendesk, predicts that within five years, 80% of digital service interactions will be handled by AI.
Jesse Zhang, CEO of chatbot creator Decagon, emphasized that “people are very aggressive about optimizing for resolution,” noting that companies prioritizing deflection will lose money in the long run.
Platforms like Sierra and Decagon use outcome-based models to ensure AI resolves issues for both customers and businesses. Clear escalation paths to human agents are also essential, particularly for elderly users, VIP customers, or complex problems.
In some industries, AI is already supplementing human teams. At fintech Klarna, an AI assistant initially replaced hundreds of agents but required rehiring for complex queries, demonstrating that AI and human collaboration remain crucial.
“There’s just no way for the AI to bring the kind of understanding and empathy that a human being can bring to the table, especially if the customer is upset or has a legitimate problem,” said Jodi Miller, senior vice president of sales at NotifyMD.
As the outsourcing and customer service industry continues to embrace AI, businesses face a delicate balance: maximizing efficiency without sacrificing the human touch.
Companies integrating AI thoughtfully can reduce costs, improve agent well-being, and maintain customer satisfaction, but misaligned incentives risk undermining the technology’s promise.
In the global market, those that get the balance right may gain a competitive edge, while others risk frustrating the very customers they aim to serve.
