Agentic commerce—where autonomous AI systems discover products, evaluate options and complete purchases on behalf of customers—is rapidly moving from theory into practice. Major technology companies including Google and OpenAI are embedding AI agents into search, browsing and checkout experiences. By 2030, agentic AI is projected to account for 15–25% of total U.S. e-commerce, and up to $385 billion in U.S. e-commerce spend could be influenced by AI agents by 2030.
The challenge for commerce teams is that AI agents currently surface the easiest discounts to apply—including leaked coupon codes and expired campaigns—rather than loyalty rewards that drive margin and retention. Without structured, machine-readable data exposure, traditional loyalty mechanics like point balances and tier benefits remain invisible to agents. To compete, brands must adopt standardized protocols such as Google's Universal Commerce Protocol (UCP) and implement identity linking to enable AI agents to securely access personalized loyalty offers and member benefits on behalf of customers (Modern Retail).
Brands that make their loyalty and promotions agent-ready now will gain early-adopter advantage and avoid the risk of margin erosion from uncontrolled discount proliferation. The window to prepare is narrowing, as agentic commerce platforms continue to standardize and major technology companies race to embed agents into mainstream shopping experiences.