
A Commerce (CMRC) survey finds 67% of U.S. adults would use agentic AI for shopping. 71% cite security and control as top barriers. Retailers face a trust gap before earnings.
Alpha Score of 41 reflects weak overall profile with moderate momentum, poor value, moderate quality. Based on 3 of 4 signals – score is capped at 90 until remaining data ingests.
Commerce (Nasdaq: CMRC) commissioned a survey of 1,000 U.S. adults that found 67% would use agentic AI for product research and purchases. The same survey found 71% cited security and control over their data as the top barriers to adoption.
The results, released by Commerce on Tuesday, come as retailers experiment with AI agents that can browse, compare, and complete transactions on a user's behalf. The survey asked about attitudes toward such tools, not which vendors consumers prefer.
Commerce sells an open AI-driven commerce platform that unifies customer data across touchpoints and powers recommendation systems. That architecture could support the agentic AI the survey respondents want, provided the platform includes consent controls and explainable decision-making. The company calls this category "agentic commerce," framing shopping agents as a core part of the buying flow rather than an add-on chat widget.
The survey also asked about willingness to pay for control. 83% of shoppers said they would be more likely to buy from a retailer that lets them customize how much authority the AI has over the transaction. 76% said they would pay a premium for that control. That willingness creates a pricing opportunity for retailers that invest in controls, the survey suggests.
Commerce's platform is open, meaning retailers can bring their own AI models and adjust recommendation logic. That flexibility could help merchants build a trust layer. The survey suggests many retailers will need to invest in consent management and customer communication to bridge the gap between consumer interest and readiness.
Commerce did not disclose revenue tied to agentic AI features. The survey did not ask about specific vendors. The company's third-quarter earnings are due next month. Analysts will look for commentary on adoption rates among retail clients, particularly around consent-based AI recommendations.
The trust gap extends beyond Commerce. Every e-commerce platform integrating agentic AI faces similar consumer skepticism. Commerce's open, data-centric model gives retailers one lever: they can show shoppers exactly what data the AI uses and why it made a particular recommendation. That kind of transparency addresses the 71% who cited security as the top barrier.
Commerce reports third-quarter earnings next month. Analysts will ask about adoption rates for its agentic AI features.
Prepared with AlphaScala editorial tooling from the source reporting linked above. Indexable analysis may include a cited Alpha Score value. Publishing checks screen each story before release. Educational coverage, not personalized advice.