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Articles / retail-consumer-tech / US agentic sales to reach $1T by 2030: report

US agentic sales to reach $1T by 2030: report

May 11, 2026 · Source: paymentsdive.com · Topic:  retail-consumer-tech · fintech
U.S. Agentic Commerce Market Size
$1T
Projected market size of the U.S. agentic commerce by 2030
Consumer AI Tool Usage
68%
Percentage of consumers who have used at least one AI tool in the past three months during shopping
Sales Increase from AI
9.6%
Increase in real-time sales for Tecovas attributed to AI use in inventory management

⦿ Executive Snapshot

  • What: The U.S. agentic commerce market is projected to reach $1 trillion by 2030.
  • Who: ICSC and McKinsey & Company; retailers such as Vitamin Shoppe and Tecovas.
  • Why it matters: The integration of AI tools in retail is reshaping consumer behavior and retail strategies, impacting the future of brick-and-mortar stores.

⦿ Key Developments

  • Sixty-eight percent of consumers have used at least one AI tool in the past three months during their shopping experience.
  • 62% of surveyed consumers reported using AI to compare brands, models, prices, or reviews.
  • Nearly 40% of Gen Z and millennials prefer experiential retail, which enhances the relevance of physical stores.
  • The Vitamin Shoppe launched its first AI-enabled Innovation Store in NYC, utilizing the Shoppe Advisor tool for enhanced customer experience.
  • AI has led to a 9.6% increase in real-time sales for Tecovas when employed for inventory management.

⦿ Strategic Context

  • The retail landscape is evolving rapidly due to advancements in AI, necessitating that brick-and-mortar stores adapt to stay competitive.
  • Historical reliance on traditional shopping methods is being challenged as consumer preferences shift towards integrated online and offline shopping experiences.

⦿ Strategic Implications

  • Immediate consequence includes the need for retailers to redefine the in-store experience to meet heightened consumer expectations.
  • Long-term, retailers must invest in AI strategies to ensure their physical stores remain relevant and profitable amid changing consumer behaviors.

⦿ Risks & Constraints

  • Consumers express concerns regarding algorithm-driven pricing, which could hinder AI adoption in retail.
  • Trust issues with AI shopping assistants may affect consumer willingness to engage with AI tools in the shopping process.

⦿ Watchlist / Forward Signals

  • Upcoming milestones include further adoption of AI tools in retail and consumer acceptance of AI-driven shopping experiences.
  • Future developments signaling success will include measurable improvements in sales performance linked to AI implementation in stores.
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