AI Knows THE World. It Doesn't Know YOUR World.
A raw AI model out of the box will not produce much impact.
That's a hard sentence for a guy building an AI company to write. But it's true, and understanding why it's true is the difference between companies that actually transform and companies that spend a lot of money to change nothing.
AI is incredibly knowledgeable. It can recite API 653 inspection intervals, it can run 230+ engineering calculations, it can reference AMPP coating standards and AWWA maintenance standards. It has read more about asset and tank integrity than any single human ever will. It knows THE world. The published, documented, standardized body of knowledge that exists across every industry.
But it doesn't know YOUR world.
It doesn't know your specific corrosion history. It doesn't know that the ground on the north side of your facility settles differently than the south. It doesn't know your operator's maintenance habits, your client's risk tolerance, or the inter-personal dynamics that determine which capital projects actually get approved.
That gap between THE world and YOUR world is where all the value lives.
And here's the part most people get wrong. Closing that gap is not a technology problem. It's a human problem.
The companies I see struggling with AI adoption aren't struggling because the technology is insufficient. They're struggling because their business was designed for a different era.
An AI tool plugged into a dated process just produces the same dated outputs, but just a little faster. An AI tool plugged into a well designed, modern process becomes a force multiplier that compounds over time.
The question isn't 'which AI tool should we buy?' That's a buzzword broker question. The question is 'what does our business need to look like after AI solves the simple stuff? What's the value we deliver to our customers?'
That's harder. It requires rethinking what gets measured and why. Challenging incentive structures that reward blunt effort instead of outcomes delivered. Leadership needs to be willing to look at how the business has always operated and ask whether that's how it should operate.
It can be scary, but it's the only path that leads somewhere real.
Technology works like crystallization. Apply heat. The liquid evaporates. What's left is the concentrated solid, the thing that was actually valuable all along.
Rooms full of human "computers" doing calculations by hand? The liquid evaporated. What crystallized was the computational capability, now in your pocket.
Drafting departments drawing plans by hand? The liquid evaporated. What crystallized was the engineering judgment, the decisions about what gets built and why.
Same thing is happening right now across every industry I work in. The manual steps, the redundant data, the meetings nobody likes, the three ring binders that sit on shelves, that's all liquid. It's going away.
What crystallizes is the judgment. The relationships. The intuition based on years of experience that knows which issue actually matters and which doesn't. The ability to think, forecast, and 'see around corners'. That's built over decades that can't be copy pasted.
Those are human advantages. They compound over time. And they become exponentially more valuable as AI handles everything else.
AI knows THE world. Your job is to apply it to YOUR world.
