The short version

When 73% of B2B buyers are using AI tools to research what they buy, the ground under construction’s sales and procurement playbook is already shifting.

This data point, reported by National Today, isn’t a construction‑only study—but it’s a clear proxy for what’s coming to jobsite software, equipment deals, prefab contracts, and professional services. If most buyers in the broader B2B world lean on AI to shortlist vendors and decode complex offerings, it’s only a matter of time before the same pattern hardens inside every GC, subcontractor, and owner’s rep.

If AI is quietly helping buyers choose, then every construction company is already competing in an AI‑filtered marketplace—whether they’ve logged in or not.

For construction technology vendors, this means your next RFP response might be read first by a model, not a person. For contractors and owners, it means the tools you use to research software, materials, and automation gear will increasingly feel like co‑pilots rather than static search bars.

Why this matters on real projects

The headline number—73% of B2B buyers using AI tools for purchase research—sounds abstract until you drop it into a real precon meeting.

Picture a project executive at a mid‑size GC evaluating three options: a new reality‑capture platform, an AI‑assisted scheduling tool, and a robotics vendor promising on‑site automation. Historically, they’d lean on reps, word‑of‑mouth, maybe a conference demo. In the emerging pattern reflected by the National Today report, that same executive is more likely to:

• Paste each vendor’s marketing copy into an AI assistant and ask for a plain‑English comparison.
• Ask an AI tool to summarize customer reviews and case studies.
• Generate a checklist of must‑ask questions about data ownership, integration, and risk.

None of that requires the tools to be “construction‑specific.” General‑purpose AI is already good enough to translate vendor jargon into something a superintendent or CFO can interrogate.

This has a few concrete implications for AI in construction:

1. **Procurement is becoming AI‑mediated.** If buyers are using AI to filter options, vendors of construction technology are effectively being pre‑screened by algorithms. Clarity, structured information, and real case studies will rank higher in that AI‑driven first pass than vague promises about “digital transformation.”

2. **The bar for proof just went up.** AI tools are very good at spotting repetition and thin claims. When 73% of buyers are using them for research, it’s safer to assume your prospect has already asked an AI assistant, “Does this automation platform actually reduce rework?” That nudges the whole market toward more specific data: change‑order reductions, schedule compression, or RFIs avoided.

3. **Internal buyers will lean on AI too.** Inside construction firms, champions of new tools—say a VDC manager pushing an AI‑driven clash‑detection add‑on—can use AI to build their case: draft internal memos, summarize vendor docs, and model ROI scenarios. The same trend that National Today highlights in general B2B behavior will quietly accelerate internal adoption of AI in construction.

4. **Smaller firms can research like giants.** A three‑crew specialty contractor might not have a procurement department, but they do have a browser. With AI tools, they can evaluate project management platforms, estimating systems, or field‑data apps with the same structured rigor a large ENR‑ranked contractor uses—if they choose to.

The underlying tension: AI doesn’t care about the old relationship‑driven hierarchy of who “gets in the door.” It cares about what’s written down, what’s been measured, and what can be compared.

What to watch next

• **AI‑ready marketing for construction tech:** Expect more vendors to rework their sites, datasheets, and case studies so AI tools can easily parse and compare them—clear headings, explicit metrics, and structured FAQs.
• **AI‑assisted RFPs and bid reviews:** Owners and GCs will increasingly use AI to summarize long proposals, highlight risks, and benchmark automation claims across multiple bidders.
• **Growth of AI co‑pilots in procurement suites:** As the broader B2B world normalizes this behavior, look for construction‑focused platforms to embed AI that suggests vendors, flags unrealistic promises, or surfaces relevant past project data.
• **Training gaps on AI in construction buying:** Many field leaders will use AI informally before policy catches up. Firms that offer light‑touch guidance—what to ask, what to doubt—will make better decisions about construction technology.
• **Data‑rich case studies as currency:** Because AI leans heavily on available text, vendors who publish specific, verifiable outcomes for their automation and AI tools will surface more often in AI‑generated shortlists.

Field note from the editor

I’ve sat through enough vendor demos to know the sales cycle in construction is stubbornly old‑school: steak dinners, golf, a glossy slide deck. The National Today figure—73% of B2B buyers already using AI tools to research purchases—suggests the real action now happens quietly, after the meeting.

Someone on the project team goes back to their laptop and asks an AI assistant, “Summarize this product in one paragraph,” or “What should I be worried about with this kind of automation?” That silent second opinion is becoming the default.

If you’re on the buying side, it’s worth making that behavior intentional: document how you use AI, and pair it with human judgment from people who’ve actually poured concrete or closed out a punch list. If you’re selling AI in construction, assume your pitch now has two audiences: the person in the room—and the model they’ll consult as soon as you leave.