There's a pattern I keep seeing with executives and AI.
They want a demo.
A vendor comes in, shows off a polished product, everyone nods and says “impressive.” Then the meeting ends, the demo is forgotten, and nothing changes.
I've been running AI workshops in Austin for the past two years. I've watched this happen enough times that I stopped offering demos entirely. Not because demos are worthless. But because they're solving the wrong problem.
The Problem With Demos
When a company brings in an AI vendor for a demo, they're seeing someone else's finished product. It's been built, polished, and packaged for a specific use case. It looks clean and simple.
What they don't see is the underlying capability. What AI can actually do when applied to their specific situation, their own data, their own workflows.
And here's the thing about being an executive: you can't make good decisions about something you don't understand. You can't evaluate a vendor's proposal. You can't push back when the IT team says “it's too complicated.” You can't spot the obvious opportunity your competitors are missing.
A demo teaches you what someone else decided was worth building. That's not the same as knowing what's possible.
What Actually Changes Things
There's a CFO I worked with last year. Smart, experienced, running a finance team of about 15 people. He came to one of my Austin workshops with a very reasonable stance: “I don't need to learn this myself. I need my team to learn it and implement it.”
By the end of the morning session, he was running his own analysis in real time. Not with help. Just him, a laptop, and a few prompts.
Something shifted.
It wasn't that he suddenly became a developer or an AI expert. It was that he saw enough. He understood what the raw material could do.
The next week, he sent me a list of over 30 processes he wanted his team to look at. Client reporting, reconciliation workflows, contract review prep, board meeting prep… things he hadn't thought about automating because he didn't know automation was possible.
That's what I mean by the awareness expansion. Before you see what AI can do, you're ordering from a menu you can't read. After, you can finally see the options.
What “Understanding AI” Actually Means
I'm not talking about learning to code. Or understanding large language models at a technical level. Or building your own tools.
It's simpler than that.
It means being able to sit down with an AI tool and do something useful in under 10 minutes. Draft a memo. Summarize a long document. Analyze a spreadsheet. Walk through a decision framework.
When executives have that experience firsthand, they stop delegating their AI strategy to the IT team. They start thinking like product managers for their own operations. They see where the bottlenecks are. They know which vendor proposals are overpriced. They understand why the rollout isn't working.
The agent-as-teammate concept is a good way to think about where this leads. The goal isn't replacing workers with robotic automation. It's building AI that behaves like a capable colleague: aware of the priorities, connected to the right information, clear on when to escalate. But you can only design that if you understand what it can do.
Why Most Executives Skip This
It comes down to time and perceived relevance.
“I'm not a tech person.” “That's what I have an IT team for.” “I don't need to know the details.”
I get it. Executives have full calendars. Learning something new feels like a cost.
But AI is one of those rare areas where leadership ignorance is a direct liability. Your team can implement tools, but they can't redirect strategy. They can't decide what's worth building. They can't spot the opportunity your competitor is about to find.
And the awareness expansion doesn't take months. For most people, it takes one focused afternoon.
Try This
If you're leading a team right now: set aside half a day and just play with AI yourself. No agenda. No deliverable. Just try to break it.
Use it to analyze a real problem from your business. Write a memo. Build a process map. See what it does well and where it falls apart.
You won't need to look for opportunities after that. They'll be obvious.
That's the difference between a demo and a red pill. One shows you the surface. The other changes what you see.
Thanh Pham is the founder of Asian Efficiency and runs AI workshops in Austin. If you want to explore what AI could do for your team, check out the 4-Day AI Sprint.
