Agentic Commerce

Your next competitive moat isn't an AI agent — it's your data

A quiet news week — the October 1 shutdown was averted with funding extended to December 11, and the pharma tariff we covered last week takes effect tomorrow. So this issue goes deep on the one development genuinely reshaping B2B commerce right now: AI agents entering the buying process. Here's the forecast, the prerequisite, and the reality check — and what each means for distributors and manufacturers. If your catalog isn't machine-readable yet, this one's your wake-up call.

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The 15-Second Scan

The numbers and market moves worth carrying into your
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$15T

B2B spend Gartner expects to flow through AI agents by 2028

90%

of B2B buying Gartner expects to be intermediated by AI agents by 2028

40%

of enterprise apps expected to embed AI agents by end of 2026, up from under 5%

~130

of thousands of “agentic AI” vendors Gartner considers the real thing

40%+

of agentic AI projects expected to be canceled by end of 2027

1 in 5

B2B sellers expected to be pulled into agent-led quote negotiations in 2026

01

The Deep Dive: Agentic Commerce

What AI buying agents mean for the channel

The Forecast

Agents are coming for the purchase order

Gartner projects that by 2028, 90% of B2B buying will be intermediated by AI agents, channeling more than $15 trillion in spend through automated agent-to-agent exchanges — systems that research vendors, compare offers, negotiate, and execute purchases with minimal human involvement. It's not purely a future scenario: Forrester's 2026 State of Business Buying, drawn from nearly 18,000 global buyers, found that 94% already use AI somewhere in the purchasing process. The research step that now precedes a buying decision is increasingly done by a machine.

$15T

B2B spend Gartner expects to flow through AI agents by 2028

Source:GartnerForrester

The Prerequisite

Machine-readable, or invisible

The shift rewires what makes a supplier findable. Gartner frames it bluntly: verifiable operational data becomes a currency, and products built on composable, API-first, machine-readable foundations gain a real competitive moat — while the buying tools themselves proliferate, with 40% of enterprise applications expected to embed task-specific AI agents by the end of 2026, up from under 5% a year earlier. For distributors and manufacturers, the implication is stark: a catalog trapped in PDFs, with pricing behind a quote request and availability that isn't exposed as clean data, is effectively invisible to a procurement agent. Optimizing for search is giving way to optimizing for retrieval by agents.

40%

of enterprise apps to embed AI agents by end of 2026, up from under 5%

Source:Gartner · Top Strategic PredictionsGartner · Enterprise Apps

The Reality Check

Assist now, autonomy later

The hype is running ahead of the plumbing. Gartner expects more than 40% of agentic AI projects to be canceled by the end of 2027 — not because the models fail, but because of escalating costs, unclear business value, and inadequate risk controls. It also warns of rampant “agent washing,” estimating that only around 130 of the thousands of vendors marketing “agentic AI” are the real thing. The near-term reality for the channel is assisted, not autonomous: contract-aware product search, automated reorder, and quote assistance with a human in the loop. Gartner expects roughly one in five B2B sellers to be pulled into agent-led quote negotiations during 2026 — so the pressure is real, even if full autonomy is not here yet.

~130

of thousands of “agentic AI” vendors Gartner considers the real thing

Source:Gartner · Agentic AI ProjectsGartner · AI Agents and Sellers

02

The Channel Takeaway

The winning move isn't buying an agent — it's being ready for one

The Priority

The data foundation is the entry ticket

Put the three together and the priority for distributors and manufacturers is clear. The highest-leverage work right now isn't deploying an autonomous buying agent; it's the unglamorous data foundation — clean, structured, machine-readable product, price, and availability information, exposed through APIs. That's the entry ticket to agent-mediated procurement, the moat Gartner describes, and — conveniently — the same data-integrity work that makes a distributor's own portal and sales-rep tools trustworthy today. The channel that gets its data house in order wins twice.

The work that prepares a catalog for agent-mediated procurement is also the work that makes today’s portal and sales tools more reliable.

Source:Gartner

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