What becomes valuable when intelligence is everywhere?

When electricity became infrastructure in the early twentieth century, the race to build generators slowed, and a different race began. The question shifted from how to produce electricity to what to do with it. The differentiator was no longer access to power. It was what you built with it.

We are at a similar moment with intelligence.

Unmetered intelligence

Zack Kass, one of the clearest thinkers on AI's practical implications, uses the phrase 'unmetered intelligence' to describe what is now arriving: AI that is everywhere, always on, built into every system, freely available in every device. Not a specialist tool. Infrastructure. Like electricity. Like running water.

When intelligence becomes infrastructure, expertise changes meaning. Access to information was once a competitive advantage. In a world of unmetered intelligence, access disappears as a differentiator. The value shifts from what you know to what you do with it, and whether that doing creates something genuinely meaningful.

The question that shifts

The AI conversation has been dominated by task-level questions. Will AI replace this job? Can AI do what this person does? These are real questions. But they are not the deepest ones.

When intelligence is everywhere, the deeper question is not whether AI will replace tasks. It is: what becomes valuable when intelligence itself is no longer scarce?

• Judgement: the ability to decide what matters, in context, under uncertainty, with incomplete information. AI can inform judgement. It cannot hold it.
• Meaning-making: the human ability to interpret, connect and make sense of what is happening in ways that create shared understanding and direction. Not synthesis. Sensemaking.
• Wisdom: what Aristotle called phronesis, practical wisdom, the capacity for right action in a specific situation, which requires lived experience, moral stake and genuine accountability. AI can analyse. It cannot be wise.
• Collective capability: the shared ability of people, teams and organisations to know what value must be created and how to create it together. This lives between people, not inside them.

Work as value creation, not task execution

There is a deeper frame underneath all of this. Work, at its best, has never only been task execution. It is the human and organisational contribution to value creation. What makes it meaningful is not the output alone, but the judgement, care, coordination and trust that humans bring to it.

In the AI era, predictable tasks will increasingly be automated. This is not a crisis, it is a clarification. It forces the question of what work really is, and what it is for. The organisations that answer this question well will not be the ones that automate fastest. They will be the ones that most clearly understand what humans are uniquely able to contribute.

The civilisational question

None of this is only a business problem. The AI era is testing something larger than organisational capability. It is testing our collective human ability to live wisely with powerful technology: to build the conditions, the relationships and the wisdom needed to turn abundant intelligence into meaningful human value.

Innovation capability, rightly understood, is not about running AI pilots or building innovation labs. It is about building the human and organisational conditions needed to turn uncertainty into value, repeatedly. That requires shared language, clear direction, conditions for agency, and feedback loops that show whether capability is actually growing, not just whether intelligence is being used.