AI AGENTS BUY B2B 2030
AI agents run routine B2B buying: $15 trillion+ a year.
Key figures
Gartner's forecast: 90% of B2B buying via AI agents by 2028, $15 trillion+.
Forrester 2026, 18,000 buyers: 94% used AI somewhere in their last purchase.
B2B machines that can already place an order: 3 billion today, 8 billion by 2030.
My call: routine B2B buying is agent-to-agent by 2030, strategic deals stay human.
AI agents are starting to buy on behalf of businesses. They compare suppliers, check the contract, place the order and settle the invoice.
Sellers say the takeover is 3 years out. Gartner forecasts that by 2028, 90% of B2B buying goes through AI agents, over $15 trillion a year, and that by 2030, 20% of all money moves with rules written into it.
The tape is more human. Forrester asked nearly 18,000 buyers in 2026: 94% used AI somewhere in their last purchase, but the decisions still get made by people on a call. "Intermediated" covers a chatbot summarising a tender. It is not a machine signing the deal.
Why it happens anyway: a buying agent reads every spec, never forgets a price and cannot be taken to lunch. Gartner counts 3 billion B2B machines that can already place an order, 8 billion by 2030. Reorders, spare parts, cloud credits, ad inventory: rules-based spending goes machine-to-machine first, because nobody enjoys doing it.
My call: by 2030, routine, rules-based B2B buying is agent-to-agent by default, $15 trillion+ a year. People keep the strategic deals, set the rules and approve the exceptions. Sellers win by being readable to machines: structured data, transparent pricing, clean contracts.
Warning: an agent buying from an agent has no lunch, but it also has no judgment. The first big procurement fraud between 2 bots is coming, and the humans who switched off the approvals will own it.
