AI First, Resilience First | Peter Hughes
Borrowed horsepower vs rented foundations There is a big difference between using AI as borrowed horsepower and embedding AI as a layer in your operating model. Borrowed horsepower is drafting, summarising, exploring options, and creating first drafts you refine. It is leverage. It is speed. It is a force multiplier. Rented foundations is when AI becomes the default place where your business thinks and runs. Customer responses, internal decision notes, policy and reporting, knowledge retrieval, and now increasingly agent driven actions. At that point you are not just buying a tool. You are weaving a third party capability into the fabric of how work happens. That can still be a smart trade. The point is to make it a conscious one. Follow the money We should also be honest about the economics. Vast amounts of money are being sunk into models, data centres, chips, and the platforms that sit on top. Those investments do not pay back by magic. They pay back when AI becomes a recurring line item across as many organisations as possible, especially when it becomes embedded and hard to replace. I do not say that with cynicism. It is normal. It is how infrastructure waves become industries. But it changes the question from "should we use AI?" to "how do we use AI without turning our business into a permanent subscriber to someone else's investment thesis?" Costs, creep, and affordability The future cost question is not simple. Some things will get cheaper as capability becomes more commoditised. At the same time, there are forces that push your total cost up: usage creep, automation creep, richer features, and organisational dependency. Low margin businesses do not get to be surprised by recurring costs. The danger is rarely the first bill. The danger is the slow adoption curve that makes the bill feel "normal", while more and more work quietly routes through the same third party layer. So one of the most practical questions a business can ask is this: can we bake AI int...
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