23%
Behavior is already visible
of Americans bought something through AI in the past month, according to Morgan Stanley.
Morgan Stanley, Dec 2025Agentic commerce outlook
A clearer view of how AI agents are reshaping commerce
This page is designed for product, AI, and commerce teams that need a fast read on the category without wading through raw reports. It separates what is already happening from what is still directional.
Updated monthly from public analyst research, platform disclosures, and merchant-facing market studies.
Four signals worth tracking
Four signals worth tracking
Each signal answers a different strategic question: is the behavior real, is the flow growing, are merchants adapting, and could the channel become economically meaningful?
14x
Order flow is accelerating
growth in AI-driven orders since the start of 2025, according to Shopify.
Shopify, 202645%+
Merchant adaptation is underway
of mid-sized North American retailers already have AI tools in the customer experience.
Straits Research, 202520%
The channel could become material
of transactions could run through AI platforms or agents by 2030, in the Gartner forecast cited by Shopify.
Shopify citing Gartner, 2026Projection range by market maturity
Projection range by market maturity
Use these ranges as directional planning inputs, not as exact budgeting numbers. They help frame magnitude, not certainty.
2025
$25B-$250B
2026
$70B-$650B
2028
$250B-$2.2T
2030
$500B-$4T
Where adoption is strongest today
Where adoption is strongest today
The market is wider at discovery and narrower at autonomous execution. That is the trust gap most teams need to design around.
1
64%AI-assisted product search
2
58%Started a journey via assistant
3
41%Bought AI-recommended products
4
23%Comfortable with AI buying for them
5
4%Allow fully autonomous purchase
What this means for teams building now
What this means for teams building now
Design for discoverability first
If assistants cannot interpret product data, policies, and constraints cleanly, the channel underperforms before the buyer ever reaches checkout.
Treat trust as product infrastructure
The constraint is not just traffic. It is whether assistants, merchants, and buyers can understand what is allowed and when human review is required.
Avoid autonomy theater
Most teams should not optimize for blind agent execution. They should optimize for controlled delegation and faster learning loops.
How to read the data responsibly
How to read the data responsibly
Separate analyst forecasts from consumer surveys and platform signals.
Avoid treating broad AI usage claims as direct proof of autonomous transactions.
Read source dates closely. This category moves fast and mixed timelines distort judgment.
Use the combination of signals to guide strategy, not any single metric in isolation.
Source trail
Source trail
This page uses public sources already cited across the site. The goal is to keep the read fast while making verification easy.
Use the signal, not the hype
Use the signal, not the hype
If the category matters to your roadmap, the practical next step is to make your store or platform easier for agents to understand before the channel becomes more crowded.