The tools arrive, the trust doesn’t

A new study from First American Data & Analytics and DealGround, the CRE Industry Pulse Check, surveyed 255 commercial real estate professionals through March and April this year. 66% of them use AI weekly or daily. Only 5% trust it enough to inform an actual deal decision. I’ve seen this pattern up close: the software gets deployed, the training session happens, and six weeks later the team is back to spreadsheets and gut feel because no one really knows how to use the thing when the brief changes or the data doesn’t fit the template. The gap isn’t technical. It’s capability transfer.

Why do teams adopt AI tools but not trust them?

Because adoption is measured in logins and licences, not competence. A tool gets added to the stack, someone sits through a demo, and capability transfer is assumed to happen by osmosis. It doesn’t. Trust builds through repeated use under supervision, documentation that actually explains the why, and systems designed so the next associate can run them without a phone call.

I work with asset managers, portfolio teams, and family offices who need brand systems and marketing infrastructure that don’t collapse the moment I leave. That means capability transfer isn’t a final-week checklist. It’s engineered from day one: editorial handovers so the next hire can publish without me, on-site walkthroughs of the content management system, file sources and fonts documented, AI literacy built into the training scope, not tacked on at the end.

What does proper capability transfer look like in practice?

It looks like an asset manager learning to run the brand system I built for their mixed-use scheme, not just receiving the files. It’s the portfolio team being trained on the content rhythm so they can maintain momentum between pitch documents. It’s documentation that covers not just what to click, but what to do when the photography brief changes or the planning committee asks for different visuals three days before submission.

I see this across every project type: the family office preparing a launch who needs to own the story after I hand over, the fund services business whose marketing associate has to understand both the platform and the prose, the development where empty units depend on the in-house team being able to update brochures without waiting for agency time.

Where does AI literacy fit into this?

AI literacy for asset managers isn’t about learning to code or understanding transformer architecture. It’s about knowing when a tool is useful, what its boundaries are, and how to fold it into the actual work: drafting reports, preparing briefing documents, tightening copy for a hoarding that goes to print Friday morning. AI arms teams, it doesn’t replace them. But that only works if the team knows how to hold the tool.

The trust gap is a training gap

The First American and DealGround research confirms what I already see in practice: tools are arriving faster than the training to use them properly. The result is a trust gap dressed up as a technology problem. If your portfolio team has adopted new software but still doesn’t trust it for anything that matters, the issue is probably capability transfer, not the platform itself.

I build systems, then I hand them over properly. If your team is sitting on tools it doesn’t trust, send a paragraph about the situation and I’ll write back.