Who Owns the Narrative?

The discipline that keeps human judgment from quietly drifting away

A note before we begin: Ben and his team are fictional — a constructed scenario, not a reported story. The problem they illustrate is real.

Ben returned to his office.

Two-twenty-four.

The Market Review meetings with his commercial real estate brokerage team seemed to go quicker each week. He remembered the days when he and his associates would debate for hours over what they were seeing in the market and what it meant for their clients. Now the meetings rarely went past the bottom of the hour. It wasn’t that they had less to talk about. The reports Ben finalized Friday mornings were more thorough than they’d ever been — beautiful graphs, concise analysis, clear takeaways. But the increase in information was met with more head-nodding than actual engagement. It wasn’t that the team didn’t care. It was that the AI built into Ben’s market analysis tools had already done all the thinking for them.

Created with ChatGPT

He reflected on how much easier this part of his job had become.

In the old days, Ben kept a yellow legal pad with him everywhere. Noticing that the paint was fading on the “space available” sign in front of a commercial office park would send him digging into how long that space had sat vacant and what comparable transactions in the area looked like. A comment on rising rents from a friend at the chamber breakfast would generate a note on the pad. A call from a tenant rep about a deal that fell through, followed by a call to the landlord, would uncover the kind of detail that never shows up in a database. All week, his three associate brokers were doing the same — probing their contacts, listening to frustrated building managers, talking to ambitious business owners about their growth plans.

Friday morning, Ben would close his office door and try to make sense of what he was seeing and hearing. Online publications and databases provided context and data points. But it was his deep knowledge of the market — built contact by contact, deal by deal, over fifteen years — that let him pull a thread of clarity out of the tangled web of notes. The report was the output. The week was the work.

When the team convened on Friday afternoon, each of them had seen the elephant from a different angle, and they argued about it.

Now CoStar, Reonomy, and LoopNet fed data directly into Ben’s software, which also pulled from his CRM. The AI scooped it all up and turned it into an impressive deck Ben could walk his team through on Friday afternoon. They nodded along and got an early start on the weekend.

Atrophying Judgment

In a recent essay, Microsoft CEO Satya Nadella drew a distinction between two kinds of capital a firm builds. Human capital is the knowledge, judgment, relationships, and pattern recognition of its people. Token capital is the firm’s investment in AI capability. Both matter. But they compound differently — and they don’t always grow together.

Ben’s years of hard work, and that of his team, collecting information and wrestling with what it meant had built the human capital that made his firm the go-to commercial real estate broker in the city. Business leaders and landlords trusted Ben’s judgment because he had earned it, one difficult Friday morning at a time. His software could now answer almost any question he asked of it. But he was losing touch with the heartbeat of his market. Without the cognitive challenge, the muscle was going soft.

The wake-up call arrived quietly. During the weekly review, his office manager asked what seemed like a simple question about absorption rates in the east submarket. Ben froze. He knew the software had the answer — and it did, within seconds. But he should have been able to reason through it himself, maybe with less precision but more conviction. That was the moment he understood what he had been giving away.

What Ben Did

Ben didn’t abandon his tools. He changed his relationship to them.

During the week, instead of dropping notes into the CRM and forgetting about them, he began weaving threads together in his mind — figuring out what story the market was telling before Friday arrived. Then, on Friday morning, instead of asking the software for the report, he told the software the story he was seeing and asked whether the data supported it. He argued with it, letting the data push back on his instincts and sharpen his thinking. The report that came out the other side was still polished. But now it was his.

He also turned the Friday meeting on its head. Instead of walking his associates through a finished deck, he started by asking them what story they were seeing. The first week he got silence. The second week, tentative answers. By the fourth week, his associates were arriving with opinions they were ready to defend — because Ben had made it clear that their judgment was what the meeting was for, not their ability to read a slide.

The full report still went out. But it had become secondary to something harder to measure and more valuable to protect: the knowledge and conviction that a team builds when it is required to think, not just to receive.

One of the largest commercial property owners in the city called Ben a few months later. He had always trusted Ben’s firm, he said, but he wanted Ben to know that a recent negotiation with one of his newer associates had impressed him. She had come in with depth of market knowledge and the kind of conviction you can’t fake. He didn’t know what Ben was doing differently, but he hoped he’d keep doing it.

Ben smiled and didn’t say much. He knew exactly what had changed.

The Theology Underneath

R.C. Sproul defines biblical meekness as power under control — and Ben’s story is another way to see what that looks like in practice. He had not lost his expertise. He had simply stopped exercising it, ceding the cognitive work to tools that were glad to take it. When he decided to reclaim the narrative, he didn’t discard the software’s power. He put his hand back on it. The tool stayed. The abdication ended.

James 3:13 asks: “Who is wise and understanding among you? Let him show by good conduct that his works are done in the meekness of wisdom.” The meekness of wisdom is an interesting phrase. It suggests that genuine understanding doesn’t announce itself — it shows up in the quality of conduct, in the kind of work that earns trust over time. Ben’s associates weren’t just becoming better at their jobs, they were being formed by the practice of paying attention and having to account for what they noticed. That formation is what a leader’s faithfulness makes possible.

The question underneath Ben’s story isn’t whether AI tools belong in a commercial real estate firm; they clearly do. The question is who owns the narrative. When the software synthesizes the market and Ben receives its conclusions, token capital grows and human capital drifts. When Ben does the synthesizing and the software tests it, both compound together. The difference is a discipline. And disciplines, practiced week after week, form the kind of judgment that no software update can replicate — or replace.

A Few Questions Worth Wrestling With

Where in your business have you let technology take over the thinking you should still be doing yourself?

Has AI made your work so easy to produce that your knowledge and judgment are beginning to drift — not because anything went wrong, but because nothing required them?

How could you introduce healthy friction back into your team’s discussions — not to slow things down, but to ensure the people in the room are genuinely growing in wisdom and discernment?

Don’t neglect the human capital that makes your business worth trusting. It was built the hard way. It won’t maintain itself.

I’ve helped businesses navigate a few of these waves — the Internet in the ’90s, wireless in the ’00s. Each month I work with a small number of owners on exactly these questions around AI. If that’s you, reach out. I also publish a weekly AI market intelligence newsletter with a strategic and faith-based lens. Find it on Substack at Faithful Intelligence.

A note on process: This article was developed in collaboration with AI tools — reflecting the very intersection this newsletter explores. The research, theological convictions, and editorial judgment are my own; AI assisted in drafting and refinement; human editing shaped the final version.