The B2B campaign is dead. A machine just shortlisted your competitor.

McKinsey's latest report opens with a woman buying trail-running shoes. She asks an AI assistant for a training plan, compares three options, reads a summary of hundreds of reviews, and buys, all before a single brand gets a look in.

The behaviour in that story is not a consumer quirk. It is the buying journey, and it is already running in B2B. The committee researches the category. It compares specifications. It validates claims against reviews and peers. It builds a shortlist long before anyone fills in a contact form. McKinsey found nearly half of consumers now use AI search across that journey: 73 per cent to learn a category, 61 per cent to compare specific products, 60 per cent to explain technical specifications, and 60 per cent to summarise reviews.

That is how a procurement lead, an engineer and a CFO evaluate a capital purchase.

Most B2B brands are not ready for it. McKinsey found 90 per cent of CMOs are experimenting with AI, yet fewer than 10 per cent have captured any value from it. Only 28 per cent are rewiring how they work. The rest are bolting AI onto the campaign they already run, which makes the old model faster without making it fit.

The shift is from attention to trust

McKinsey describes a move from an attention economy to a trust economy. Recommendation systems now decide which brands get considered. Being visible is no longer enough. Brands have to be, in McKinsey's words, consumable and trusted by machines, and by the buyers those machines now guide.

The most exposed B2B brands are those whose value lies in technical depth, specifications and proof: manufacturers, industrial businesses and technology companies. These are often the brands whose best evidence sits in a gated PDF, a sales deck or a spec sheet that a machine cannot read or cite.

If an AI assistant cannot interpret your product, validate your claims and recommend your brand accurately, you never make the shortlist, let alone the pitch.

What B2B brands need to build

McKinsey points to a knowledge engine: a body of content and data that both buyers and machines can find, read and trust. For B2B it has three parts.

• Content that answers the buyer's real questions. Category explainers, product comparisons and technical guidance written for the questions buyers actually put to an AI assistant.
• Credibility signals a machine can validate. Structured specifications, verified results and genuine expert input, in a form a model can cite without guessing.
• Information kept current. Proof that is maintained, not published once and left to age.

This is the discipline McKinsey says marketers are least ready for. It is also where B2B has the most to gain, because B2B has always run on proof and trust. The channels buyers use to reach a decision have changed, but the qualities that win it, proof and trust, are the same as they have always been.

Where to start

• Fix the proof layer first. For most B2B brands this is where the economics shift fastest. Get your specifications, results and expertise into a form buyers and machines can find, read and trust, then build outward from it.
• Rewire one workflow, not all of them. Less than a quarter of marketers have a sequenced plan, and the brands that struggle most are those that treated AI as a switch to flip across the board.

A campaign starts and stops, but your buyers, and the machines they now trust, do not. The brands that win will be present, accurate and recommended at every moment a buyer goes looking, every day, not for the six weeks a campaign happens to be live.

How Human Digital helps

Human Digital generates awareness and qualified leads for B2B manufacturers, industrial businesses and technology brands across search, social and in-person channels. We build the proof layer: structured specifications, case studies with real numbers, and a clear expert point of view, all in a form that buyers and machines can find and trust. Strategy, content and deployment under one point of accountability, run as continuous growth rather than a campaign that starts and stops.

Source: McKinsey & Company, "From campaigns to continuous growth: AI capabilities shaping marketing," June 2026. https://www.mckinsey.com/capabilities/growth-marketing-and-sales/our-insights/from-campaigns-to-continuous-growth-ai-capabilities-shaping-marketing