Consumers Want AI to Shop With Them, Not for Them

§ 01 Executive Snapshot

• What: Consumers are increasingly open to AI in shopping but prefer maintaining control over significant decisions.
• Who: PYMNTS Intelligence, consumers, technology companies.
• Why it matters: Understanding consumer preferences for AI can guide businesses in developing tools that enhance user experience while respecting human oversight.

§ 02 Key Developments

• New research from PYMNTS Intelligence's May 2026 Consumer AI Benchmark shows consumers prefer AI for tasks like discovery and comparison shopping but want human oversight for payments and irreversible decisions.
• The report indicates that consumers are more receptive to AI as a collaborative tool rather than a full replacement for human decision-making authority.
• Consumers express comfort with AI providing product recommendations and personalized shopping assistance, aligning with their existing online behaviors.

§ 03 Strategic Context

• Historically, the digital commerce landscape has aimed for frictionless experiences, reducing the number of decisions consumers actively make through automation.
• There is a shift occurring where consumers are now signaling a desire for some friction in AI-driven interactions, indicating a need for visibility and control in the decision-making process.

§ 04 Strategic Implications

• Businesses may need to recalibrate their AI strategies to incorporate consumer preferences for oversight, which could influence the design of AI tools and platforms.
• The evolution towards autonomous commerce may involve a continuous negotiation between automation and human input, rather than a swift transition to full machine autonomy.

§ 05 Risks & Constraints

• There is a risk of losing direct customer relationships to external AI platforms that may mediate decisions, impacting brand loyalty and consumer trust.
• Companies face the challenge of developing AI systems that consumers find trustworthy and transparent, as concerns over accountability could hinder adoption.

§ 06 Watchlist / Forward Signals

• Future developments in AI technology that emphasize user control and transparency in decision-making will be critical to success in this space.
• Monitoring consumer sentiment towards AI’s role in shopping and financial decisions will provide insights into the effectiveness of new AI implementations.