The Gold Rush Is On. Are You Ready to Mine?

All Will Try. Most Will Stumble. A Few Will Leap.

Let me tell you what I think is going to happen over the next six to twelve months, because I've been watching this pattern build for a while now.

Act One: Companies hear the word "AI" approximately nine hundred times in board meetings, strategy sessions, and industry newsletters. They form a working group. They buy a few ChatGPT Enterprise licenses (God help them). They attend a webinar. They ask an intern to "look into it." Nothing much happens.

Act Two: The same companies, slightly embarrassed by Act One, hire a consultant who delivers a very nice 48-slide deck about "AI Transformation Readiness." The deck is emailed around. Some people read it. The slide about "change management" makes everyone slightly anxious. The deck is filed somewhere and mostly forgotten.

Act Three - and this is the one I'm excited about - a handful of companies skip Acts One and Two entirely, or they burn through them fast, and they get to the part where someone actually builds something. They integrate AI into a real workflow. The MD is deeply involved. They RAG their ten years of client documentation. They deploy a local language model that analyses their financial exposure overnight and flags anomalies before the humans arrive in the morning. And suddenly, those companies are doing in twenty minutes what used to take two days.

Why I'm Superbly Positioned to Help You Get There

I've spent over two decades building custom software systems - the kind that actually run businesses, not the kind that look good in demos. PHP, Linux, billing architectures, ERP integrations, telco systems. I know what it means to ship working code into a production environment and be responsible for it when things go wrong.

And for the past several years, I've been deep inside AI implementation - not the theoretical kind, but the "it has to run on Tuesday morning" kind. Retrieval-Augmented Generation pipelines that make company knowledge instantly searchable. Local language models deployed inside a client's own walls so that not one byte of sensitive data leaves the building. Integrations that connect AI to the systems companies already use - their CRMs, their ERPs, their internal databases - so the productivity gain is immediate and measurable.

I'm also a registered Expert for the European Commission, with a focus on AI policy and sovereign AI deployment. So I can speak to your board about governance and compliance, and then open a terminal and write the code the same afternoon.

Here is what working with me looks like in practice:

It might be a two-hour Zoom call where I look at your current stack and tell you honestly what to do first, what to avoid, and how much it's likely to cost. For some companies, that's all they need to get moving.

It might be a part-time engagement where I come in, build the core system, and train your team to run it. Three months, done, you own it completely. You'll keep me on speed-dial because of the value we'll have created together.

It might be a full immersive project - if what you're building is significant enough to warrant it - where I'm effectively your CTO for AI, embedded in your team, responsible for the outcome.

What it will never be is a slide deck and a handshake. I have no interest in that.

What This Moment Actually Means

Here is the thought that keeps me up at night - in the best possible way.

Human effort has become a commodity. Writing a letter, summarizing a document, translating a contract, generating a first draft of almost anything - these tasks that used to require hours of skilled human time can now be done in seconds, for fractions of a cent. That is a staggering shift in the economics of knowledge work.

But human intelligence - the real kind - is not a commodity. It's a couple of tokens away, yes. But knowing which tokens to ask for, and why, and whether the answer is any good - that still requires something the models don't have.

Experience. The scar tissue from a thousand past mistakes that tells you why the obvious answer is probably wrong.

Good taste. The ability to look at an output and know, in your gut, that it's not quite right - even when you can't immediately articulate why.

Expertise. The deep domain knowledge that lets you prompt precisely, evaluate critically, and integrate intelligently.

Choices. The wisdom to know which problems are worth solving with AI, which aren't, and what you risk if you automate the wrong thing.

These are human things. And in a world where raw cognitive output is cheap, the people and companies who have these qualities in abundance are about to become extraordinarily more powerful than those who don't.

This is not a threat to humanity. It's a promotion.

The Next Six Months Are Going to Be Remarkable

I genuinely believe that the competitive landscape in almost every sector is going to look meaningfully different by the end of this year. The companies that move with purpose - not recklessly, not timidly, but with a clear strategy and the right technical execution - are going to establish advantages that will be very hard to close later.

If you're sitting on the fence right now, I understand. There's a lot of noise. There's also a lot of genuine risk in moving too fast without the right foundations.

But the fence is not a safe place to sit for much longer.

If you're on the French Riviera or in Belgium - my two home territories - let's have coffee. Or if you're somewhere else and you have the right project, let's have a Zoom call this week.

I'm not here to explain AI to you. I'm here to build it with you.