A cohort of DTC brands—Sproos, Trade Coffee, and Made In among them—are deliberately reintroducing human-staffed phone lines as a competitive differentiator, capitalising on documented customer fatigue with AI-driven support. The shift reflects a genuine market signal: 79% of Americans prefer human interaction over AI agents, and 41% report that customer service has deteriorated due to automation. Rather than viewing this as a regression, these brands position human phone support as a premium experience that enables deeper product knowledge, relationship-building, and operational intelligence. Trade Coffee's requirement that agents be former baristas, Made In's deployment of professional chefs for product troubleshooting, and Sproos's peer-to-peer communication model all suggest that the differentiation isn't merely about availability—it's about embedding domain expertise into the support function itself. This raises a critical question for teams already invested in omnichannel automation: if human support becomes a luxury signal rather than a cost centre, how should organisations rebalance their channel strategy and staffing models?
The implications for CX operations are substantial. First, this trend exposes a vulnerability in the prevailing automation-first narrative that has dominated platform roadmaps at Zendesk, Salesforce, and their competitors. If customers are actively seeking escape routes from AI interactions, the ROI calculus for pure automation shifts—particularly for brands where emotional resonance and trust drive retention. Second, the data suggests that assisted-volume interactions will surge as customers exercise their right to opt out of AI, meaning teams cannot simply decommission phone infrastructure or reduce headcount in support. Instead, the strategic play appears to be hybrid: maintain AI for triage and routine transactions, but ensure frictionless escalation to humans for complex or emotionally charged interactions. Third, these brands are extracting competitive advantage from call data—using customer inquiries to inform product development, marketing, and supplier relationships. This transforms support from a cost centre into a market research function, which has profound implications for how CX teams should be resourced and measured.
For smaller vendors and consultants, this represents both opportunity and threat. Opportunity lies in helping clients design human-centric support experiences that leverage AI for efficiency rather than replacement. Threat emerges if enterprise platforms begin bundling sophisticated workforce management and quality assurance tools that make hybrid models easier to operate at scale. The real question is whether this represents a durable shift in customer expectations or a temporary backlash that will fade once AI quality improves. The evidence from council services rolling out AI chatbots only to see call volumes rise suggests the former—customers don't simply accept automation because it exists; they actively circumvent it when alternatives are available. Teams should prepare for a future where phone support is not a legacy channel but a strategic asset.
Brands Briefing: Customer-service phone lines are getting a second look thanks to AI fatigue Modern Retail