Two thirds of shoppers want to use agentic AI, but control, security and transparency concerns slow uptake

Consumer demand for agentic AI in retail environments reveals a significant market opportunity, with two-thirds of shoppers expressing willingness to adopt autonomous AI-driven commerce solutions. However, this headline growth masks material friction points: control, security, and transparency concerns represent structural adoption barriers that will determine technology penetration rates across the sector.

CMRC and similar AI-driven commerce platforms are positioned to capitalize on this demand, but their near-term growth trajectory depends on resolving buyer concerns around data governance and algorithmic accountability. The gap between consumer interest and actual deployment suggests a maturation phase where enterprise procurement will prioritize vendors offering transparent, auditable AI frameworks.

Broader retail and e-commerce ecosystems including ETSY face a dual narrative: near-term competitive pressure from agentic AI, but also productivity gains if internal adoption reduces operational friction. The retail tech stack is undergoing structural change, favoring platforms that can bundle discovery, security, and explainability into unified offerings.

Sector implication: This signals a bullish inflection for enterprise AI infrastructure providers, but a cautious outlook for consumer-facing retailers lacking transparent AI integration. Market adoption will likely follow a bifurcated path: early adopters in high-trust environments versus measured rollouts in price-sensitive categories.