The B2B buying process has crossed a threshold. According to IDC's CMO Buyer Alignment Blueprint, published in August 2026, 80 per cent of B2B technology buyers now use AI agents to assist with or carry out purchasing tasks. G2's 2026 Buyer Behavior Report, surveying 1,038 decision-makers across North America, EMEA and APAC, adds the detail: the same proportion have taken software recommendations from an AI assistant in the past two years, and buyers who use AI are markedly more likely to purchase from their original shortlist.
This is not a future trend. It is a present condition. For enterprise suppliers in the agentic AI ecosystem and beyond, the implication is direct: your next buyer may never visit your website, may never download your white paper, and may never speak to a salesperson before deciding whether you make the shortlist. The agent does that work now. Understanding how, and optimising for it, is becoming a commercial imperative.
What the research says: three converging signals
IDC's blueprint identifies five structural shifts in how enterprise technology is bought. The buyer is permanently digital-first, with 71 per cent preferring digital channels even for complex, multi-stakeholder purchases. AI agents have joined the buying team, meaning vendor content must now serve human and machine readers equally. Static content is losing ground to interactive, real-time tools. Human contact still matters, but as a trust-building intervention rather than a linear handoff from marketing. And 88 per cent of buyers say alignment between a vendor's values and their own influences supplier choice.
G2's June 2026 report quantifies how far the delegation has already gone. Among buyers using AI assistants, half say the assistant had its greatest influence at the shortlisting stage. AI assistants now sit level with review sites as the top shortlist influencer, at 37 per cent against 38 per cent. More than 60 per cent of buyers use or plan to use AI agents in software evaluation, and the tasks they hand over are the analytical ones: comparing total cost of ownership at 51 per cent, building the shortlist at 51 per cent, researching solutions at 49 per cent, and evaluating shortlisted vendors at 46 per cent.
Deloitte research, published via The Wall Street Journal in March 2026, adds a supplier-side perspective. While 38 per cent of B2B buyers are already using agentic AI in purchasing, only 13 per cent of suppliers say their front- and back-office systems are completely integrated. High-digital-maturity suppliers beat annual sales goals by 6.1 per cent on average, compared with 2.9 per cent among lower-maturity peers. The gap between buyer adoption and supplier readiness is not closing. It is widening.
Why the shortlist is the decisive moment
G2 found that buyers who use AI assistants bought from their initial shortlist in at least three of their last five purchases 80 per cent of the time, against 65 per cent for buyers who did not. That fifteen-point gain in shortlist stickiness means the moment an agent builds the list is the moment most of the deal is decided. Being on it is largely a function of whether the agent could find and trust your answers.
An AI buying agent asks the questions a diligent analyst would ask, only faster and with less patience for marketing language. What does it cost at our scale? What does it integrate with? Who else like us uses it, and what happened? What does the security review involve? The vendors whose answers are structured, verifiable, and easy for a machine to read are the ones that make the list. The vendors whose best evidence sits in slide decks, memory, or unsearchable PDFs are the ones that do not.
The supplier readiness gap
Deloitte's research highlights a structural problem on the supplier side. Nearly nine in ten surveyed B2B suppliers are currently upgrading their enterprise resource planning systems or planning to do so. Only 13 per cent report complete integration between front-office sales and e-commerce functions and back-office operations. Buyers are six times more likely than suppliers to describe their purchasing processes as mostly manual, and three times more likely to say it is difficult to do business with a given supplier.
The cost of this friction is measurable. Suppliers estimate an average of 13 per cent of sales bids are lost due to negative buyer experience. Buyers report spending 29 per cent more with suppliers that deliver a positive experience. In a market where an AI agent is doing the first pass of evaluation, a positive experience increasingly means one where the agent can find what it needs without asking a human for help.
What suppliers can do now
Optimising for AI buying agents does not require a new technology platform. It requires organising what you already know so that a machine can use it. IDC's recommendation is to structure facts, capabilities, pricing, integrations, security, outcomes and customer evidence so that machine-driven discovery can read them. Two fast wins stand out: metadata optimisation for AI search, and AI-guided touchpoints such as a pricing assistant or value calculator.
For organisations with a customer relationship management system, the practical move is to treat the CRM as the source for a proof library. Reference customers, integration inventories, industry outcomes and security documentation are all things the CRM already stores or can store with a handful of fields and a routine. When those fields are complete and current, the proof a buying agent needs can be published from the system of record. When they are not, the organisation's best evidence stays trapped in formats that machines cannot read.
Gartner's top strategic prediction for 2026, published in late 2025, holds that by 2028 some 90 per cent of B2B buying will be intermediated by AI agents. A March 2026 Gartner survey of 646 B2B buyers found 67 per cent now prefer a representative-free experience for much of the journey. The direction of travel is clear: the agent does the first pass, the human decides, and the vendors that are easy for the agent to evaluate are the ones the human ends up meeting.
What it means for the agentic AI market
For companies building or selling agentic AI platforms, the buyer-side adoption data is a tailwind and a warning. The tailwind is that 80 per cent of B2B buyers are now operating in a world where AI-assisted evaluation is normal. The warning is that these same buyers will evaluate agentic AI vendors with the same machine-driven rigour they apply to every other category.
A buyer's AI agent does not care whether you are selling AI agents or accounting software. It cares whether your pricing is transparent, your integrations are documented, your security posture is verifiable, and your customer evidence is current. The suppliers that treat this as a channel to optimise rather than a curiosity to observe are the ones that will capture the fifteen-point shortlist advantage that G2 has measured.
The Agentic Expo angle
Agentic Expo 2027, taking place at Olympia London on 23-24 March 2027, is built for a market where AI agents are already doing the buying. The event brings together the platforms, governance tools, professional services firms and industry specialists who are turning agentic AI from a technology conversation into an operations conversation.
For suppliers, the event is a direct channel to enterprise buyers who are actively evaluating agentic AI solutions and who will bring the same machine-assisted scrutiny to their purchasing decisions that IDC and G2 have documented. For buyers, it is a space to evaluate what works, what is secure, and what is worth betting on in a market where the shortlist is increasingly built by agents. In a landscape where 80 per cent of buyers already use AI agents and 90 per cent will by 2028, a dedicated forum for evaluation is not a nice to have. It is where the shortlist gets made.