AI can be used to replace people, or to give them an unfair advantage. I build for the second one. The tools are available to everyone. The edge comes from the people using them and how deeply they work AI into the everyday.
Everyone is renting the same models. The advantage comes from the people using them and how deeply AI is woven into their everyday work. Invest there, and the tools pay for themselves.
Too many companies post an AI role before they’ve decided what AI should do for the business, or how their team will take it. Answer those first, then hire someone to run with it.
Playing it safe means reacting to what clients ask for. By the time they ask, someone else has already shown them. Bring them what you can build before they know to ask.
A lot of people still believe AI is coming for their job. The tech isn’t what stalls adoption. The fear is. How a company explains AI and brings it in decides whether people lean in or dig in.
Five steps, in order. Skipping the first two is how most AI efforts stall.
What should AI do for this business, and what shouldn’t it? Answer that before anyone buys a tool or hires a role.
Address the fear head on. Show people how AI makes their work better, then train them until it’s second nature.
Find the bottlenecks and build for them. When the right tool doesn’t exist, make it.
Governance from day one: where client data goes, what needs a human sign-off and what stays off limits.
Turn what works inside into what you offer outside. Bring clients ideas before they come asking.
Speed is the whole point of AI. These are the three places I refuse to rush.
The guardrails aren’t sophisticated enough, and one misplaced message can be the difference between a happy client and an angry one. Anything client-facing gets human eyes first. Most companies haven’t even written governance rules for AI talking to clients.
When a client wanted us working inside their own platform instances, I verified that our AI platforms don’t train on the data we put in, so I could show them our tools were just as strong and their data just as safe. That research taught me governance is worth understanding deeply, and it’s the first thing I walk a new company through: what to watch for and which questions to ask.
I don’t just trust AI, and I don’t just trust people either. Everything gets checked and verified to the same standard, whoever or whatever made it. Same review, same scrutiny, every time.
AI is powerful, but the really impressive stuff you see has been massaged a lot to look that perfect. Don’t be fooled by the demo.
If you can think of something and explain it well, it can build it for you. Right now, that feels like a superpower.
Everyone gets the tools. Not everyone brings the taste.
In two or three years, these tools will be more capable than any of us can picture, and nearly everything will run on prompts. That puts two kinds of people side by side: the ones using the tools, and the ones using the tools plus their own point of view.
The second group makes work that feels custom and unmistakably theirs. That’s the edge I build for, in my own work and in every team I lead.