Five9: Bridging the CX Divide: Consumer Expectations for AI in Customer Service
Five9 — 2026 — Customer Experience
The Five9 and Hanover Research April 2026 study of 3,000 consumers and 600 business decision-makers reveals that consumer acceptance of AI in customer service hinges on transparency, clear human escalation options, and strong data governance. The report finds notable generational and regional variation — Millennials and German consumers are relatively more receptive to AI, while older generations and UK consumers express greater skepticism and frustration. Key operational issues include frequent misunderstandings, poor AI-to-human handoffs, and lower satisfaction for AI channels, leading the authors to recommend selective AI deployment for low-risk tasks, seamless context-rich transfers to human agents, explicit disclosure of AI interactions, and published data/privacy and consent policies to rebuild trust and demonstrate measurable ROI.
Key Statistics
- 55% of consumers trust AI to resolve their issue when a clear human option is available, compared to 26% when a human option is absent.
- 71% of consumers say it is important or very important to know whether they are interacting with an AI bot or a person (91% for the Silent Generation).
- 92% of consumers give AI fewer than 10 minutes to resolve an issue before escalating to a human.
- 46% of consumers cite repeated misunderstandings by AI as the primary reason for escalation to a human agent.
- AI and chatbot channels posted a 46% positive satisfaction rate compared to 68% positive satisfaction for phone interactions.
Key Takeaways
- Implement transparent AI disclosures and guaranteed, easily accessible human escalation paths in every AI interaction to restore psychological safety and trust.
- Prioritize AI for low-risk, routine tasks (e.g., password resets, order/status checks) and reserve complex or high-stakes interactions for human oversight or direct human handling.
- Invest in CRM and CX orchestration that preserves full interaction context so human agents receive seamless, context-rich handoffs and customers don’t have to repeat information.
- Publish clear data governance and consent policies, and provide explicit opt-in/opt-out mechanisms for AI-driven personalization to address privacy and security concerns.
- Segment AI deployment and channel routing by generation and geography, using dynamic orchestration to route customers to preferred channels and tailor AI experiences to audience preferences.
Cite as: Five9. (2026). Five9: Bridging the CX Divide: Consumer Expectations for AI in Customer Service. Retrieved from https://research.agilebrandguide.com/reports/five9/five9-bridging-the-cx-divide-consumer-expectations-for-ai-in-customer-service