Trade and commerce are critical to the functioning of society, and commerce has undergone a remarkable transformation, from barter and commodity-based exchange to today’s sophisticated ecosystem of digital payments, financial instruments, and global trade platforms. The e-commerce industry is valued at $7.4 trillion and is expected to reach $8 trillion by 2027. With the advent of AI, a new form of e-commerce known as agentic commerce is born, where autonomous AI agents research, compare, negotiate, and complete purchases on behalf of users or businesses.
Agentic commerce can be described as an autonomous AI agent that is fed structured product or service data backed by standardized protocols, allowing agents to discover items, verify user authorization, and execute payments safely. This approach shifts the buying journey from human-driven browsing activities to AI-driven action, where users provide intent, and the agent AI handles the entire workflow from start to finish. Agentic commerce can be applied in various use cases, including recurring purchases and subscriptions, Business to Business (B2B) procurement and inventory replenishment, and travel, ticketing, and digital services.
Agentic commerce typically involves a four-part flow: intent capture, discovery and selection, authorization, and completion of payment. The key characteristics of agentic commerce include autonomous decision-making, end-to-end execution, reasoning and planning capabilities, and interoperability. These characteristics enable agents to independently evaluate products, prices, and constraints, perform tasks across the commerce journey, and adapt to changes such as price fluctuations and stock availability.
Agentic commerce comes with several advantages, including greater personalization, faster purchasing, lower transaction costs, improved decision-making, and seamless end-to-end shopping experiences. However, it also raises concerns, such as the age-old principal-agent problem, where the principal delegates a task to an agent whose interests may not fully align with those of the principal. This situation can create risks of information asymmetry, moral hazard, and opportunistic behavior.
To address these challenges, agentic commerce requires mechanisms for alignment, transparency, accountability, consent, and oversight to ensure that delegated AI decision-making genuinely represents the principal’s interests. Trust and alignment are critical problems facing agentic commerce, as it must ensure AI agents genuinely act in the consumer’s best interests rather than optimizing for sellers, platforms, commissions, or other incentives.
Agentic commerce is emerging due to several factors, including advancements in AI and autonomous agents, standardized commerce protocols, and growing consumer adoption. According to McKinsey, AI agents could mediate $3 trillion to $5 trillion of global consumer commerce by 2030. IBM reports that 45% of consumers already use AI in parts of the buying journey today.
In conclusion, agentic commerce is a radical shift from optimizing human checkout flows to enabling AI agents to transact safely and autonomously on behalf of users. However, it is confronted with emerging risks and challenges, and the ability of the industry to deal with these challenges will set agentic commerce on a rapid path of growth while becoming an integral part of global commerce.
Key points
- Agentic commerce is a new form of e-commerce that uses autonomous AI agents to research, compare, negotiate, and complete purchases on behalf of users or businesses.
- The e-commerce industry is valued at $7.4 trillion and is expected to reach $8 trillion by 2027.
- AI agents could mediate $3 trillion to $5 trillion of global consumer commerce by 2030.
