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ACI Worldwide Inc (ACIW)
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Consumers Skeptical of AI Shopping Agents: ACI Worldwide Survey Reveals Trust Issues

Last updated: June 29, 2026
Taurigo

1. Trust Gap Identified in New Research

In a revealing study conducted by ACI Worldwide (NASDAQ: ACIW), a leader in global payments technology, it has become evident that a significant trust gap exists between consumers and artificial intelligence (AI) shopping agents. The survey, carried out by YouGov among over 2,000 UK adults, underscores a critical barrier to the widespread adoption of AI in consumer shopping.

Key Insights from the Survey

The findings are striking: only 19% of respondents trust AI assistants to make everyday purchasing decisions following set rules, whereas a solid 55% prefer human experts for the same tasks. A staggering 69% of participants expressed distrust in AI, even when it adheres to their predefined rules. Alarmingly, six in ten consumers (60%) stated they would terminate their use of an AI shopping agent after just one mistake, highlighting the low tolerance for error in this domain.

Adriana Iordan, head of merchant and payments intelligence at ACI Worldwide, emphasized the implications of these findings: “The findings clearly show that consumers are open to AI helping them shop smarter, but only if they remain firmly in control of both the decision-making and their money.” This statement highlights the critical importance of consumer control in the evolving landscape of AI-driven commerce.

The Role of AI in Shopping

AI shopping agents are designed to assist consumers by searching, comparing, and completing purchases with the consumer's consent. However, the research indicates that while consumers are receptive to the idea of AI as a supportive tool, their trust diminishes sharply when AI is granted more autonomy over financial decisions.

  • Consumer Comfort Levels: Half of the respondents (50%) expressed trust in AI's ability to find the best available prices. However, only 18% trust AI to act in their best financial interest, with even fewer (15%) believing AI can handle issues effectively when things go awry.

Financial Incentives vs. Consumer Fear

Interestingly, the survey reveals that financial savings alone are insufficient to sway consumer opinions. A significant 44% of participants indicated they would not trust an AI shopping agent regardless of potential savings. Moreover, one in four respondents stated that they would require savings of more than 15% to consider using an AI agent.

Concerns Over Autonomy

The data indicates that concerns surrounding AI agents acting independently or accessing sensitive financial information trigger the strongest resistance among consumers. For instance:

  • 70% of respondents reported that purchases made without their explicit permission would greatly reduce their willingness to use an AI shopping agent.
  • 61% expressed discomfort with AI agents having direct access to their bank accounts, while 54% were wary of agents tracking their online browsing habits.

Accountability and Trust

When it comes to accountability, consumers are clear about where they assign responsibility. A notable 54% believe that the AI provider should be liable for any financial mishaps, while only 9% hold retailers accountable and a mere 3% blame banks or card issuers.

Perhaps most revealing is the fact that 59% of respondents do not trust any organization to manage AI-powered shopping and payments. Even traditional financial institutions, typically seen as trustworthy, only garnered 20% trust, with technology companies and retailers trailing far behind at 4% each.

Conclusion: A Call for Control

As AI technology continues to advance and integrate into shopping experiences, ACI Worldwide's research underscores a crucial message for the industry: consumer trust must be prioritized. The findings suggest that for AI shopping agents to gain acceptance, they must be designed with explicit consumer control, clear accountability, and robust safeguards in place.

Adriana Iordan summarizes the sentiment succinctly: “This isn’t a capability gap; it’s a trust and confidence gap.” As the industry moves forward, it must address these concerns to foster a more trusting relationship between consumers and AI technologies in the shopping landscape.

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