Five9's 2026 research exposes a critical gap between AI deployment velocity and execution maturity in customer experience. Ninety-two percent of organizations have implemented or piloted AI in customer service, yet two-thirds of consumers still prefer human interaction, and 71% consider transparency about AI involvement essential to trust. This isn't a failure of AI adoption—organizations are realizing measurable ROI—but rather a failure of integration. The data reveals a systemic problem: nearly all decision-makers claim they preserve context during AI-to-human handoffs, yet 83% of consumers report having to repeat themselves after transfer. This disconnect suggests teams are measuring handoff success through operational metrics rather than customer experience outcomes, a distinction that matters enormously for anyone managing Zendesk, Freshdesk, or Salesforce implementations where handoff orchestration is theoretically seamless but practically fraught.
The infrastructure reality compounds this execution challenge. Eighty-four percent of organizations remain mid-transition from on-premises to cloud-based systems, meaning most CX teams are simultaneously managing legacy constraints whilst deploying AI capabilities designed for cloud-native environments. This creates a two-tier problem: teams lack the data architecture to feed AI effectively, and they lack the unified visibility to measure whether AI is actually improving customer outcomes or simply shifting work around. For contact center leaders, the implication is stark—your AI strategy cannot outpace your infrastructure modernization. The generational preference data reinforces this: phone remains dominant across all age groups, rising to 66% for Silent Generation consumers, yet most AI investment targets chat and digital channels. This suggests organizations are optimizing for cost reduction rather than customer preference, a misalignment that erodes trust precisely when transparency and choice matter most.
The path forward hinges on what Five9's CEO frames as the difference between deployment and execution: building AI strategies that preserve human agency, maintain context across every interaction, and align governance frameworks to actual customer expectations rather than operational convenience. For CX professionals already running multi-platform stacks, the question becomes whether your current tooling—whether unified platforms or best-of-breed combinations—can actually deliver the transparency, choice, and seamless handoffs consumers now demand, or whether you're simply automating the same broken handoff experiences at scale. The research makes clear that winning with AI requires treating human support not as a fallback but as the foundation upon which AI's value is built.
New Five9 Research: AI Adoption in CX Hits 92%, But Consumer Trust Still Depends on Human Support CustomerThink