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Repair Windows errors before they cause bigger problemsFix Now →Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →Social commerce is shopping through social or messaging platforms; agentic commerce is shopping in which an AI assistant takes on tasks such as finding, comparing, recommending, or potentially buying products on a person’s behalf. The key difference is not simply where a shopper sees a product: it is how much of the decision and transaction the shopper delegates. AI-led discovery is growing quickly, but that does not mean autonomous AI checkout is already routine.
What is social commerce?
Social commerce is commerce conducted within a social-media or messaging environment. A platform may help people discover products, provide a structured way to place orders, or do both. Those roles are distinct: seeing a product in a social feed does not by itself mean the purchase took place on that platform.
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For formal ecommerce measurement, the OECD’s 2025 guidance draws the boundary at the method used to place or receive an order. A sale or purchase over computer networks counts as ecommerce when it uses a method specifically designed for ordering. An in-app catalogue, shopping cart, or integrated shop can qualify; a manually typed message, by itself, does not. The guidance gives TikTok Shop and WhatsApp Carts as examples. OECD 2025 definition and interpretation guidance.
What is agentic commerce?
Agentic commerce describes AI participation in shopping tasks, with the amount of delegation varying from one use to another. An assistant might search for products or compare options while the person makes the purchase. A more autonomous arrangement could also complete a purchase within the authority the person has granted. These are different levels of activity, not interchangeable descriptions.
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- Discovery: The AI searches for products or brings options to the shopper’s attention.
- Recommendation: It compares options and suggests what may fit the shopper’s request.
- Authorization: The shopper decides whether the AI may act, and within what limits.
- Payment execution: The purchase is paid for, either by the shopper or by an AI acting under the granted authority.
Evidence of growth in AI-assisted discovery measures the first part of this process; it does not establish that an AI was authorized to buy or execute payment.
How do social and agentic commerce differ?
| Question | Social commerce | Agentic commerce |
|---|---|---|
| Where does discovery happen? | In a social or messaging environment, such as a feed, catalogue, or chat. | Through an AI tool that searches, surfaces, or compares products. Discovery may occur inside a social platform or another channel. |
| Where is the order placed? | It may be placed through the platform’s structured shop or cart, or the platform may send the shopper elsewhere. Discovery alone does not establish an on-platform order. | It depends on the system. An assistant may only refer the shopper to a seller, or may potentially take further steps. |
| What does the technology do? | The platform provides a social setting and may provide ordering functions. | The AI may assist with discovery and comparison, and potentially act on a purchase within the user’s delegation. |
| Who authorizes payment? | The shopper typically makes the purchase decision through the ordering process; the exact payment flow depends on the platform and seller. | It depends on the authority granted and the payment arrangement. AI discovery or recommendations do not show that payment was delegated. |
| Can they overlap? | Yes. A person can discover products through AI features in a social environment. One term describes the social commerce setting; the other describes the AI’s role in shopping tasks. | |
So, agentic commerce is not simply another name for social commerce. A social platform can be the discovery channel, the ordering venue, or both. An AI can help with shopping without controlling the order or payment. To describe a particular experience accurately, identify where discovery happened, how the order was placed, how much the AI did, and who authorized payment.
Is agentic commerce already changing how people find products?
Salesforce’s September 30, 2026 release reports that agentic search as a first step in shopping grew 200% year over year. Its Fourth Edition State of Commerce report draws on surveys of 3,450 commerce professionals and behavioral data from more than 1.5 billion shoppers; the release also refers to a consumer survey of 4,689 people across eight countries conducted May 12–18, 2026. The 200% figure is a reported first-step measure, not a count of purchases completed by AI. Salesforce, State of Commerce report, 2026.
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In a separate analysis of shopping-platform behavior across more than 1.5 billion shoppers in 37 countries from Q1 2024 through Q1 2026, Salesforce says AI-chat referral traffic grew between 150% and 428% year over year in every measured quarter. Referrals indicate traffic sent from AI chat services; they are not a universal measure of agentic purchases.
The same release reports a consumer-survey finding that, between August 2025 and May 2026, the rate of shoppers discovering products through brand-owned properties fell 7%, and through traditional search fell 15%, while new channels—including AI assistants, social-media AI, and delivery apps—rose 38%. This describes the survey’s reported discovery pattern, not a shift measured across all commerce.
Can AI agents buy things for you?
Potentially, if a system supports purchasing and the person has authorized the relevant actions. But the ability to search or recommend is not the same as permission to spend. Before treating an AI as a buyer rather than a shopping assistant, check what it can do, which purchases it may make, and what approval or payment controls apply.
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Consumer willingness is one reason to distinguish those steps. In a US survey conducted by Harris Poll for Visa’s Trust Index on May 26–28, 2026, 72% of 2,065 adults said they had used an AI assistant. In the same release, 23% of US consumers said they trusted generative AI to handle payment transactions on their behalf; the payment-trust question had per-brand samples of 1,028–1,034. These are survey responses, not evidence that AI payment delegation is common in actual transactions. Visa Trust Index, September 9, 2026.
Trust also involves more than whether an AI can complete checkout. A shopper needs to understand what the system is authorized to do and retain meaningful control over purchases. Identity, fraud prevention, privacy, and payment authorization are relevant safeguards to assess, but the cited findings do not establish one standard set of protections or prove how particular services implement them. Visa Group President Oliver Jenkyn described trust as foundational to adoption, while noting that the technology is in its early days.
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What businesses expect from payment providers
Payment infrastructure is another part of the developing picture. PayPal reports that 95% of surveyed large enterprise merchants expect payment providers to play a leading or supportive role in agentic commerce. That is a finding about large-enterprise merchant expectations—not a consumer survey or proof of industry-wide adoption. PayPal, 2026 report on enterprise merchant expectations.
How to tell what kind of commerce a shopping experience represents
- Identify the channel: Did product discovery take place in a social feed, messaging service, AI assistant, or elsewhere?
- Find the ordering method: Was there a designed shop, catalogue, or cart, or did the platform merely lead to another seller?
- Separate assistance from action: Did the AI find or compare products, recommend one, place the order, or execute payment?
- Check who approved the purchase: Did the shopper confirm each transaction, or had they delegated authority? What limits or controls were described?
- Read statistics by what they measure: Referrals, survey answers, shopper behavior, and merchant expectations answer different questions. None should be treated automatically as a count of completed AI purchases.
These distinctions matter because the available figures do not form a comparable market-size series for social and agentic commerce. They describe different things—platform referrals, consumer responses, and merchant expectations—so they cannot establish the relative size of the two markets or a broad rate of autonomous purchasing.
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