Observed Signal · Jun 19, 2026 · Survey Publication · Source: https://martechseries.com/feed/ · Impact: 2/5 · Sentiment: Neutral
Consumers Prefer Hybrid AI–Human Customer Support
Kim.cc published an AI Customer Support Sentiment Report based on a June 2026 survey of 1,000 U.S. consumers showing that while many customers accept AI for routine tasks, they still demand human involvement for complex, sensitive or high‑context issues. The study found consumers welcome AI for simple tasks (e.g., tracking orders, FAQs) but report immediate frustration when they realise support is fully automated. Respondents indicated clear thresholds for human handoff — notably for refunds, complaints and technical fixes — and many attribute AI support failures to poor vendor decisions rather than AI per se. Kim.cc’s CEO Sachin Jaiswal urged brands to adopt hybrid models that route low‑complexity tickets to automation and reserve humans for nuanced cases.
Survey reveals practical consumer preferences for hybrid AI/human support; relevant to CX strategy, automation routing and MarTech vendors serving e-commerce and customer service teams.
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Key Takeaways & Evidence Grounding
- Kim.cc published the AI Customer Support Sentiment Report based on a survey of 1,000 U.S. consumers conducted in June 2026.
- 45% of respondents welcome AI involvement for simple customer support tasks (order status, store hours, basic FAQs).
- 35% of respondents report feeling immediately frustrated when they realise customer support is powered by AI.
- Respondents said human involvement is needed for sensitive tasks: 45% for fixing a broken device, 50% for refunds/billing disputes/upgrades, and 60% for filing a complaint about a terrible experience.
- 50% of respondents immediately blame company leadership when AI support fails to resolve a query.
Connected Companies & Entities
1 Entity mappedRelated Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
43% of Consumers Would Pay More for Guaranteed Human Support
Alchemer's 2026 AI & Customer Expectations Report, based on a survey of 2,009 U.S. consumers, reveals that AI is raising customer expectations faster than it improves experience. While nearly 60% expect faster responses from AI-using companies, 89% report at least one negative impact, with the top complaint being difficulty reaching a human (44%). Consumers also cite AI misunderstandings and repetitive information as issues, and 43% would pay more for guaranteed human support. Daily AI users are more critical: 40% find AI impersonal (vs. 22% of others) and 27% would pay for human support (vs. 10%). The study underscores the need for better AI metrics beyond response time, focusing on understanding intent and seamless human escalation.
Consumers Embrace AI, Many Brands Lag
New research from Invoca (the B2C Buyers Experience Report) finds consumers are increasingly comfortable using generative AI and AI agents across the purchase journey, preferring AI when it provides faster answers and expecting clear disclosure when they interact with it. The report warns many brands are unprepared to meet elevated expectations: slow follow-up, disconnected experiences, and poor automation continue to frustrate buyers. Consumers largely hold companies — not the underlying technology — responsible when AI interactions fail. The study also shows strong preference for hybrid experiences: 77% of consumers are more willing to use AI if they can easily transition to a human. The findings highlight operational needs around data quality, governance, prompt design, testing, and monitoring to protect brand perception.
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.
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