Image: ChatGPT. Creative direction: Cognitive World.

This Member Article is authored by think tank member Christine Heckart, CEO, co-founder of Xapa, which uses game mechanics to help people build the human skills for success in an AI world, in 5 minutes of play a day. This is especially important in an AI workplace where everyone is a 'manager now' of AI teammates.
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When I give talks about AI, I bring a hammer on stage. Then I ask the audience a question: how many of you can use a hammer?

Every hand goes up. Of course it does. The hammer is a brilliant tool. It's fast and easy to learn. You can get proficient in an afternoon. And it's wildly versatile. You can build stuff, break stuff, pry stuff apart. You can use it to attack or to defend yourself.

Nearly every tool in your garage works the same way. Power drill, circular saw, level, tape measure. I can use all of them.

But I can't build a beautiful house. Not even if you hand me the blueprint and a full day of training. I might be able to build my dog, Tank, a house. But it might lean a bit, or leak. Yet I can use all the tools.

So what's the difference between knowing how to use a hammer and knowing how to build a house?

That gap is the same gap that every company now faces with AI. Using AI is fast and easy. If you can talk or type, you can use the tool. Learning a few best practices is smart, and a short training plus a bit of practice will get you there. Companies can even measure it: logins, prompts, tokens.

None of that means you can build anything worthwhile.

The distance between using the tool and creating something of quality is the central AI problem inside businesses today. Most companies are measuring the first and assuming the second. That's how you end up with a lot of busy hammering and a building nobody wants to live in.

What the builder knows

A good builder isn't better at swinging a hammer than I am. Not by much, anyway. What they have is everything around the swing.

They read the site before they touch it: the soil, the slope, the drainage, the client who says "modern" but means "farmhouse." That's context. They know the foundation comes before the framing, and which problems have to be solved today versus next month. That's prioritization.

They can look at a wall and tell it's out of plumb by a quarter inch, and they know whether that matters. That's judgment. They notice when the blueprint is wrong, and they say so. That's critical thinking, plus the nerve to push back. And they know which corners can't be cut, even when cutting them would be faster and cheaper. That's ethics.

Notice that the blueprint didn't save me. A blueprint is a lot like a great prompt template. It helps someone who already knows how to build. It does almost nothing for someone who doesn't.

AI is the most powerful toolkit ever handed to a workforce. It will frame a wall in seconds. It will also frame it crooked, with total confidence, and frame ten more just like it if you ask. The tool can generate and evaluate its work, but it cannot independently determine whether the result meets every business need. That still requires the builder's judgment.

Nobody learns to build in a seminar

Here's the other thing builders know: you don't become one in a day of training. Carpenters learn the way all real craft gets learned. Small reps, every day, for a long time, with a foreman who points out what's crooked and models what straight looks like.

The skills that make AI valuable work the same way. Context, judgment, prioritization, and asking better questions don't come from a one-time class or an hour-long video. People forget most of that within days, and their habits don't budge. What works is short doses, delivered continually, and reinforced by managers in both what they say and what they do.

The usual objection is time. Everyone is too busy to stop and learn. Even five minutes a day of focused practice can help build these skills over time. That isn't much. You know what's less? Zero minutes. And zero minutes is how we get a company full of people swinging hammers at full speed, building things that lean, or worse, that never should have been built in the first place.

Stop counting hammer swings

Nobody ever bought a house because the builder swung the hammer a lot. Yet that's how most companies are grading their AI programs: usage dashboards, prompt counts, adoption rates. Those numbers tell you people picked up the tool. They tell you nothing about whether anyone can build.

So let's ask a better question. Not "how many of our people use AI?" but "how many of our people know what a good house looks like, and can spot a crooked wall before the roof goes on?"

And ask if you're teaching these skills. If not, it's time to get started. Because without it, you have a giant, human-sized hole in your AI strategy.

Christine Heckart is CEO and co-founder of Xapa, which uses game mechanics to help people build the human skills for success in an AI world, in 5 minutes of play a day.

Christine has experience on both sides of the board table. She brings over twenty five years of experience in the technology industry having held a variety of leadership roles including CEO, GM, president, and CMO in industries that include entertainment, SaaS, data analytics, security, networking, and storage. She has worked in B2C and B2B business models at companies ranging in size from one person to over one hundred thousand at iconic brands such as Microsoft, Cisco Systems and NetApp. Having begun in new product development, Heckart's passion is in forging wholly new markets, and she has launched three new categories that have reached several billion in revenues annually. She has also created disruptive business models and worked through big market downturns and inflections.

Does Your AI Strategy Have a Human-Sized Hole?