There are three forces converging on your business right now and one of them nobody is talking about.

Or Just Better at Hiding It?

This week I sat down to write and realised something slightly embarrassing.

About ten years ago, I found myself sitting between two women having an argument I didn’t understand well enough to have an opinion on.

$15 trillion. That is the projected contribution of AI to global GDP by 2030.

Running AI agents locally is the coolest thing you can do right now, and it might also be the riskiest.

Today, I built an AI agent that QA’d my entire platform. It signed in as me, walked through every step, found the bugs, and filed feature requests.

Inside many companies right now, two people with the same job title are producing radically different results.

I keep seeing the role prompt debate pop up over and over again. Some people treat it like a cheat code while others roll their eyes and move on.

When ChatGPT launched in 2022, Google reportedly declared “code red” and scrambled to rush Gemini into the world.

Something delicious is happening in consulting.

Prompt injections are trending again. They are back in the spotlight because agents now browse the web and take actions on your behalf.

You know that moment when a client says, “We’ll think about it,” and you’re left wondering if that means “Maybe next week” or “Never call us again”?

You would not hire Iron Man to do strategy, marketing, and business development.

Yet that is exactly how most people treat their AI.

AI was meant to clear the clutter. But too often, it multiplies it. A new tool here, another “game-changer” there, and suddenly you’re spending more time managing the stack than enjoying the results.

Your AI isn’t stupid, it’s overfed.

The more documents, slides, and half-baked notes you throw at it, the more it starts to sound like an overconfident intern who skimmed the company wiki once and now insists on answering every question.

You feed your AI like a freeloading flatmate. You throw it prompts, upload knowledge, connect it to apps, and fix its mistakes just to keep it alive. At first it feels novel, like training a clever pet.

AI failure has become the new corporate pastime.

I’ve watched my AI answer questions like it was centre stage on karaoke night. It was loud, confident, and completely off-key.

Sam Altman said last week that only 7% of paid users have ever touched the o-models.*