Agentic Commerce

Curated, executive-grade intel on autonomous shopping—protocols, launches, and hard numbers—updated weekly.

$17.5T
Market by 2030
Source: Deloitte
4,700%
YoY Traffic Growth
Source: BCG
57%
Mainstream in 3 Yrs
Source: McKinsey

What is Agentic Commerce?

AI agents that autonomously search, compare, and purchase on your behalf—powered by open protocols and payment infrastructure converging in real-time.

🤖
Autonomous Agents
AI systems that shop, compare prices, negotiate terms, and complete purchases without human intervention.
🔗
Open Protocols
Standardized communication layers (ACP, AP2, A2A, MCP) enabling agents to transact across platforms and merchants.
Why Now
Payment infrastructure, model capabilities, and merchant APIs converge—creating the foundation for autonomous commerce at scale.
Who this hub is for
Merchants • Platform Teams • Infrastructure/Payments • Builders

About This Resource

AgenticCommerce.com tracks the emergence of autonomous AI-driven commerce, where AI agents make purchase decisions and complete transactions on behalf of consumers and businesses. This fundamental shift in how commerce operates represents what analysts call the defining infrastructure transformation of the decade—a $17.5 trillion market opportunity by 2030.

We curate and independently verify every resource on this hub, focusing exclusively on official protocol documentation, peer-reviewed research, direct announcements from major technology companies, and analysis from leading consulting firms. Our sources include OpenAI, Google, Stripe, Anthropic, McKinsey & Company, Boston Consulting Group, Deloitte, PwC, and Accenture—representing the companies and institutions actively building the agentic commerce infrastructure.

The agentic commerce ecosystem is evolving rapidly across three key domains: open protocols that enable AI agents to communicate and transact (ACP, AP2, MCP, A2A), payment infrastructure designed for autonomous transactions (from Stripe, PayPal, Visa, Mastercard), and real-world implementations from platforms like ChatGPT, Perplexity, Shopify, and enterprise systems. This resource hub provides executives, platform teams, infrastructure providers, and developers with a single, authoritative reference point for navigating this transformation.

Unlike general AI news aggregators, we maintain strict editorial standards: every link must be from an original source (no secondary reporting unless specifically noted), published within the context of production deployments or formal protocol releases, and provide actionable technical or strategic intelligence. This resource is maintained as an industry service to support informed decision-making as businesses prepare for the shift from human-driven to agent-driven commerce.

Updated: Oct 17, 2025 • 3 new links

Latest Launches & Moves

Google and OpenAI have launched competing protocols for autonomous AI commerce. Major consulting firms—McKinsey, BCG, Deloitte, PwC—project agentic commerce will drive $17.5 trillion by 2030. The battle for the soul of agentic commerce has officially begun.

Analyst & Consulting Briefings

Research and analysis from leading institutions tracking the agentic commerce transformation.

Standards That Make This Work

The technical foundation enabling AI agents to communicate, transact, and operate autonomously across platforms.

Frequently Asked Questions

What is agentic commerce?

Agentic commerce refers to AI-powered systems that autonomously shop, compare prices, negotiate terms, and complete purchases on behalf of users without human intervention. These AI agents use open protocols like ACP, AP2, and MCP to communicate with merchants, access product data, and execute transactions—fundamentally changing how commerce operates from human-driven browsing to agent-driven autonomous purchasing.

How does agentic commerce differ from traditional e-commerce?

Traditional e-commerce requires humans to browse websites, compare products, and manually complete purchases. Agentic commerce enables AI agents to perform these tasks autonomously—searching across multiple merchants, evaluating options based on user preferences, negotiating prices, and completing transactions. The shift moves commerce from a visual, browser-based experience to a protocol-driven, API-first infrastructure where agents communicate directly with merchant systems.

What are the main protocols powering agentic commerce?

Four key protocols are emerging: ACP (Agentic Commerce Protocol) from OpenAI and Stripe enables agent-ready commerce transactions; AP2 (Agent Payments Protocol) from Google provides payment-agnostic infrastructure for agent-to-merchant payments; MCP (Model Context Protocol) from Anthropic standardizes how AI systems access external resources; and A2A (Agent-to-Agent) enables agents to communicate and negotiate as autonomous peers across different platforms.

Which companies are actively building agentic commerce systems?

Major technology companies implementing agentic commerce include OpenAI (ChatGPT Instant Checkout), Google (AP2 protocol and cloud infrastructure), Stripe (ACP co-development), PayPal and Venmo (Perplexity integration), Visa and Mastercard (agent payment APIs), Shopify (merchant infrastructure), and Anthropic (MCP protocol). Enterprise platforms like Salesforce, Oracle, and SAP are also developing agent-ready commerce capabilities for their ecosystems.

How large is the agentic commerce market opportunity?

Leading consulting firms project agentic commerce will drive $17.5 trillion in transactions by 2030, with 57% of consumers expected to use AI shopping agents regularly within three years. Deloitte, McKinsey, BCG, PwC, and Accenture all identify this as a fundamental transformation of the commerce infrastructure, comparable to the shift from offline to online retail but occurring at significantly faster pace due to existing digital infrastructure.

How should businesses prepare for agentic commerce?

Businesses should focus on three areas: API-first infrastructure that enables agents to discover products and complete transactions programmatically; structured data optimization since agents evaluate products through data rather than visual interfaces; and protocol adoption by implementing standards like ACP, AP2, or MCP. Retailers, platform providers, and payment processors are already updating systems to be "agent-ready" as traffic shifts from human browsers to autonomous AI agents.