Observed Signal · Sep 6, 2026 · Market Research · Source: Retail-News · Impact: 1/5 · Sentiment: Negative
Gartner: Bad Chatbot Experiences Hurt Customer Trust
Gartner survey finds that only 27% of customers are willing to use a service chatbot again after a negative experience. The survey of 3,566 B2B and B2C customers, conducted in February and March 2026, reveals a significant gap between general openness to chatbots (49%) and actual usage (7%). Customers who had negative experiences often switched to other channels. Gartner recommends focusing on reliability over broad functionality, clearly communicating chatbot capabilities, and ensuring seamless handoff to human agents. The findings highlight the importance of trust and effective service design in AI customer service.
Survey insights on chatbot adoption are relevant for AI customer service but not a major industry shift.
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Key Takeaways & Evidence Grounding
- Only 27% of customers would use a chatbot again after a negative experience.
- 49% of respondents would use a chatbot if offered, but only 7% actually used one in their last service interaction.
- Gartner surveyed 3,566 B2B and B2C customers in February and March 2026.
- 87% of customers consider human agent access essential when companies use generative AI in customer service.
- Gartner advises companies to prioritize chatbot reliability and clearly communicate capabilities.
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Consumers Demand Trustworthy AI in Customer Service
Research by Pegasystems Inc. and YouGov polling more than 4,700 consumers in North America and the U.K. finds widespread distrust in AI-driven customer service. Major findings include low confidence in businesses' use of GenAI (64% not confident), concerns about responsible use (53%), and frequent unsuccessful outcomes from AI interactions (46% say they rarely or never get successful results). Consumers overwhelmingly prefer human support for better outcomes (77% say humans “always” or “often” achieve better results; 66% prefer human-led support), and only 2% want exclusively GenAI chatbots. The study concludes that businesses should move beyond simple chatbots toward more predictable AI agents that reliably complete customer tasks to rebuild trust and improve service outcomes.
Third-party generative AI beats brand chatbots
A Gartner survey of more than 3,500 B2B and B2C customers found people are three times more likely to use third-party generative AI tools for customer service than brand-owned chatbots. Usage of third-party generative AI doubled year-over-year, while customer use of company-provided chatbots has not shown a statistical increase since 2022, Gartner analyst Eric Keller said. Consumers often prefer familiar third-party tools (examples cited include ChatGPT, Claude and Copilot) and use them to complete tasks and take actions — capabilities many brand chatbots do not deliver today. The article notes brands should focus on transactional capabilities and rethink presentation, moving from a small pop-up chatbot to an AI-powered conversational interface or “intelligent front door” for the digital experience.
B2B Buyers Trust AI Less Than Marketers Think
Gartner presented survey findings at the Gartner CSO & Sales Leader Conference showing that 69% of B2B buyers turn to sales representatives to validate AI‑generated insights. The survey of 645 B2B buyers (conducted August–September 2025) found buyers used an average of seven information sources during a recent purchase and that 45% used generative AI mainly to gather vendor and product information. While 67% prefer a sales‑rep‑free experience and 70% prefer fully digital self‑service buying, trust remains a concern: 51% said they are more likely to encounter misleading information from GenAI and 49% said the same about sales reps. Gartner analyst Robert Blaisdell (VP Analyst, Chief of Research, Gartner Sales practice) said sellers must shift toward validating AI outputs and supporting decision‑making at key moments. The research signals implications for sales enablement, martech content credibility, and buyer‑journey design.
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