Article by B4 Strategy Expert, David Finch, Founder of Thinking in Fields
For most of modern business history, intelligence was scarce.
Companies that could gather better information, analyse it faster, and act on it before their competitors had a genuine advantage. Organisations were built around the acquisition and protection of that intelligence. Strategy, process, hiring – a great deal of how businesses were structured was shaped by that single underlying reality.
AI changes it.
Intelligence is becoming abundant. Not just available – abundant. Faster than most organisations can absorb, and cheaper than most predicted. The advantage that took decades to build is becoming a commodity. What AI has really done is change the cost of intelligence. The question that doesn’t yet have a clear answer is what that means for the cost of value.
And yet something strange is happening. Businesses are investing heavily in AI, intelligence is improving, and many leaders are still asking the same question: where is the value?
I hear a version of this almost every week. Reports are produced faster. Queries get answered more quickly. And yet the business doesn’t feel meaningfully different. The same decisions still take too long. The same bottlenecks remain. The same conversations happen in the same meetings.
The intelligence has improved. The value hasn’t.
I think this is because we’ve been operating under an assumption so embedded that most organisations never stop to question it: that more intelligence automatically creates more value.
It isn’t true.
Here’s the distinction that matters. A tool is a dumb object. It waits to be used. AI isn’t that. It reasons, responds, and generates. Which is precisely what makes the gap between intelligence and value so important to understand, because AI can do all of those things and still not know what your business should value. That remains a human judgement. And it’s the one judgement that no amount of processing power can replace.
Intelligence answers questions. Value changes outcomes. Those are different things.
Value appears when better decisions get made, when customers receive a better experience, and when people are able to contribute more effectively. Those outcomes don’t come from AI alone. They come from what the organisation does with it – the decisions it makes about structure, ownership, and where intelligence is actually applied.
If five people still have to sign off a decision, AI simply prepares the paperwork faster. The bottleneck isn’t intelligence. It’s design. What’s required is a clearer answer to a prior question: where, exactly, is value getting stuck?
Once you understand that, AI becomes much easier to apply. If customer enquiries take too long, AI may help. If managers are spending hours on reports instead of talking to customers, AI may help. If institutional knowledge walks out the door when people leave, AI may help. But AI finds its purpose only when it’s pointed at something real.
Businesses have always succeeded by creating value for someone else. That logic doesn’t change. What changes is what’s scarce.
For two centuries, the scarce resource was intelligence. Now it isn’t. The organisations that flourish over the next decade won’t simply have more AI. They’ll understand something more fundamental about their own business: where value is created, where it’s being lost, and how to design the connection between the two.
The defining capability of modern organisations is no longer access to intelligence.
It’s what they do with it.
ABOUT DAVID FINCH
David Finch is the Founder of Thinking in Fields. He works with founders, CEOs and leadership teams to help them convert intelligence into coherent action – identifying where decisions are stalling, ownership is unclear, and organisational friction is preventing progress. Thinking in Fields helps organisations turn better intelligence into better outcomes. The result is greater organisational coherence, enabling businesses to grow, adapt and create long-term value in an age of abundant intelligence.
Categories: AI & Innovation | Strategy | Leadership | Decision Architecture