AI is becoming an increasingly key tool in customer service for luxury businesses worldwide. Image credit: Lurii Motov, Shutterstock
There's a moment I keep seeing.
It happens about forty minutes into a keynote. I've just finished a live demo, built something in front of the audience in real time, no slides, no safety net, and I look out at the room.
Every time, the crowd splits into two groups.
You can see it on their faces.
The first group is leaning forward, taking it all in like a toddler that just discovered YouTube. (If you have kids, you get this.)
They're already thinking about what they're going to build when they get back to their desk.
They're not impressed by the technology, they're annoyed they didn't start sooner.
The second group has a different expression.
It's not confusion or skepticism.
It's something quieter than that.
It's the look of someone watching a plane take off from the terminal after the gate has closed.
Drew Thompson
I delivered 63 keynotes last year. Finance. Real estate. Hospitality. Manufacturing. Luxury brands. Over 53,000 professionals across industries that have almost nothing in common except this: every single room had both groups in it.
And the ratio is shifting.
Twelve months ago, group two was the majority. Today, in most rooms, it's closer to half and half.
By this time next year, if the trajectory holds, the people who haven't figured out how to integrate AI into their actual workflows won't just feel behind.
They'll be measurably slower than the person sitting next to them.
Nobody talks about this gap honestly.
The tech companies want you to believe AI is magic. Download the app, watch your life completely transform as an AI agent does everything for you.
The consultants want you to believe it's impossibly complex.
That you need a six-figure engagement and a twelve-week implementation roadmap before you can touch anything.
Neither version is true, and both versions serve someone's business model, not yours.
Here's what I've actually observed, up close, across thousands of professionals in dozens of industries over the past two years:
AI adoption is not a technology problem, it's a workflow problem.
The people who succeed with AI don't start by learning the technology. They start by looking at their actual workday (the emails, the research, the client prep, the reporting, the follow-ups, the content, the operational drag) and asking one specific question:
Which of these tasks am I doing manually that a machine could handle in a fraction of the time?
That's it. It sounds almost offensively simple.
But the gap between knowing that intellectually and actually sitting down, mapping your workflows, and building a working system? That's the gap where most people's AI ambitions go to die.
They read the articles.
They watch the demos.
They nod along at the keynotes.
Then they go back to their desk and do everything exactly the way they did it before.
I know this because I watch it happen. Over and over. In rooms full of people who are way smarter than I am.
I spent the better part of my career in learning and development at scale.
I served as head of learning and development at the fifth-largest real estate company in the United States, responsible for training and systems across a network of more than 30,000 agents.
Before that, I was head coach at Coldwell Banker. Before that, I ran my own agency. Before all of it, I was a kid on a soap opera set learning how to read a room before I could read a balance sheet.
The through line across all of those chapters is the same: I watch how people learn, and I figure out why they don't.
What I've learned about AI adoption specifically is that the barrier isn't access, intelligence or even willingness.
The barrier is that nobody has sat down with most professionals and said: Open your laptop. We're going to build this together. Right now. Not next quarter. Now.
Enterprise clients pay tens of thousands of dollars for that experience. I've delivered it inside organizations managing billions in assets. The methodology works. Not because it's complicated, but because it forces people past the gap between intention and implementation in a single session.
But the individual professional, the person whose career is arguably most exposed to displacement, almost never gets access to that kind of hands-on buildout.
They get webinars. PDFs. Theory.
Theory doesn't save anyone's Tuesday afternoon.
I want to talk about luxury for a moment, because I think the dynamics here deserve more attention than they're getting.
Luxury has always been built on a specific promise: that the human being across the table from you has done the work. The research is thorough. The preparation is meticulous. The follow-up is personal. The experience feels bespoke because someone invested real time making it so.
That promise isn't going away. But the economics underneath it are being quietly rewritten.
A market analysis that used to take four hours can now be drafted in 12 minutes. Follow-up communications that consumed an afternoon can be personalized, scheduled and sent in the time it takes to finish a coffee. Competitive research that required a junior associate and a full day now takes a senior professional and 15 minutes.
The professionals who figure this out don't become less human. They become more available for the work that actually requires humanity: the relationship, the judgment, the trust, the presence in the room that no algorithm replicates.
The ones who don't figure it out will keep doing things the old way.
And for a while, no one will notice.
The decay is slow. It shows up as slightly longer response times. Slightly less thorough preparation. Slightly fewer touches per client per month.
The kind of erosion that's invisible until the client quietly moves to someone who seems, somehow, to always be a step ahead.
That's how displacement works in relationship-driven industries. Not with a dramatic announcement.
With a slow, silent transfer of trust.
On March 23, I'm doing something I haven't done before.
I'm taking the same methodology I deliver to enterprise clients – the workflow mapping, the live system build, the displacement-proofing framework – and running it in a three-hour live workshop for 30 people.
The first hour, we map your work the way it actually happens and identify the three to five workflows where AI removes time immediately. Not theoretically. You finish the map before we move on.
The second hour, we build. Use case by use case, tool by tool, your personal AI operating system. Constructed live, tested live, functional before we hit hour three.
The third hour is the one most courses skip entirely. We talk honestly about which skills are being commoditized, which are being repriced upward, and how to position yourself over the next 90 days so you're not just using AI. You're becoming the person in your organization or your market who knows how to deploy it.
The workshop is $497. If you do the work and don't leave with a system that saves you at least five hours in your first week, I'll refund every dollar.
But the number I actually think about isn't $497.
It's the 20 hours a month you get back. And what you choose to do with them.
Spend them on the human work. The work that builds reputations, earns referrals and closes the deals that matter.
That's not a productivity hack.
That's a different career.
The seats are limited because the format requires it. I give individual feedback to every person in the room. As of this writing, more than half are spoken for.
March 23, 2026. 12 noon to 3 p.m. EDT (New York time). Live. Virtual. Hands-on.
Drew Thompson is founder/CEO of Signal & Scale, an intelligence transition company. He previously served as head of learning and development at Real Brokerage and has delivered keynotes and workshops to more than 53,000 professionals across industries. He is the author of “Permission to Laugh” and writes “Human Powered,” a publication on ambition, authenticity and automation.