Gladly: 2026 Customer Expectations Report

Quick Overview

The 2026 Customer Expectations Report, produced by Gladly in partnership with Wakefield Research, reveals a significant generational divide in AI customer support preferences, showing that 88% of customers who use AI support report their issues are resolved, but 47% of customers who experience a failed transfer to a human agent abandon the company, highlighting that the success metrics for AI should focus on relationship outcomes rather than just resolution rates.

Key Points: 88% of customers using AI support report their issues are resolved, contrasting with only 22% of those customers preferring AI over human support if the transfer fails. 48% of customers would abandon the interaction if they had to re-explain their issue after being transferred from AI to a human agent. Boomers show a lower tolerance for AI error, with 54% considering it a major frustration compared to only 26% of Gen Z. Gen Z shows significantly higher tolerance for AI, with 56% willing to continue past five exchanges, compared to only 11% of Boomers. The report suggests the primary metric for AI success should shift from simple resolution rates to measuring loyalty outcomes and customer relationship value. The data indicates that customers view AI as a 'gateway' for simple tasks but a 'gatekeeper' when complex issues arise, leading to frustration if the handoff fails. The report concludes that the era of using AI solely to cut costs is ending, advocating instead for AI designed to enhance service interactions.

Context: The video analyzes findings from the 2026 Customer Expectations Report, commissioned by customer service platform Gladly and conducted by Wakefield Research. The research surveyed 1,000 US adults about their experiences with AI-powered customer support across various industries like retail, finance, and healthcare, focusing on the gap between functional success (issue resolution) and emotional satisfaction (trust and relationship building).

Detailed Analysis

The analysis of the 2026 Customer Expectations Report highlights a major generational divergence in how customers perceive and tolerate AI customer support. While 88% of users report their technical issues are resolved by AI, only 22% prefer AI over a human agent if the initial interaction fails. This indicates that functional success is not sufficient for customer loyalty. The report emphasizes the 'exit condition' where 48% of customers abandon the interaction if they must re-explain their issue after being transferred from the AI to a human agent, causing frustration that rapidly erodes trust. Boomers show significantly less patience, with 54% citing this as a frustration compared to only 26% of Gen Z. Conversely, Gen Z tolerates more back-and-forth (up to five exchanges) before giving up. The fundamental takeaway is that companies must design AI not just for cost reduction (which leads to poor containment and high churn), but to enhance relationship value. The report strongly suggests that resolution rate is the wrong primary metric; instead, businesses should track loyalty outcomes, such as repeat purchases and Net Promoter Score, to properly measure successful AI implementation.