Consumer trust drops as companies shift customer service to AI, according to AnswerConnect's 2026 AI Customer Service Attitudes Report. The survey found 57% of consumers would trust a brand less if it relied predominantly on AI for support interactions, up from 53% the previous year - a trend that directly threatens revenue for businesses treating automation as a cost-cutting measure.
Natalie Ruiz, CEO of AnswerConnect, wrote in Forbes Business Council that businesses automating customer service at the expense of human interaction are trading long-term loyalty for short-term efficiency gains. "In the race to automate customer experience, many may be eroding the very thing that fuels long-term growth - customer loyalty," she said.
Loyalty numbers shift as AI replaces human agents
The report found that 73% of consumers said they are more loyal to companies that employ real people for service interactions, up from 69% the prior year. The parallel increase in both distrust of AI and preference for human agents suggests a hardening of consumer attitudes rather than a temporary reaction.
"When AI answers, customers feel handled, not heard, making it harder to cultivate trust and loyalty," Ruiz said. She framed the pattern as a direct revenue risk: "Trust and loyalty aren't soft metrics; they're your revenue line."
Transparency becomes a baseline demand
A full 85% of survey respondents said businesses should clearly disclose when customers are interacting with AI rather than a human agent. The finding reflects a shift from consumer preference to baseline expectation - undisclosed AI use now registers as a loyalty liability rather than a neutral operational choice.
For enterprise buyers weighing automation against outsourcing investments, the data complicates the cost-benefit calculation. Offshore BPO operations that maintain trained human agent capacity alongside AI for Customer Support tools are positioned to capture accounts that AI-only models are losing. The trust erosion documented in the survey connects directly to sourcing decisions, where human agents remain the primary differentiator in service models competing against fully automated alternatives.
Why this matters for customer support professionals
Support teams should treat disclosure as a competitive advantage, not a compliance checkbox. The 85% transparency demand means clear AI labeling can build trust even when automation is part of the workflow. Frontline agents and supervisors who combine human judgment with AI tools - rather than being replaced by them - align with the 73% loyalty premium consumers place on real-person interactions. For AI for Call Center Supervisors, the priority is deploying automation in ways that augment agents rather than displace them, preserving the trust metrics that directly affect retention and revenue.
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