AI mapping

Clarity is one of Norbound’s guiding principles.

For us, clarity starts with knowledge. But knowledge alone is not enough. We also need to make sense of what is happening AND understand what it means -for us as individuals, for our business, and for the society and wider world we are part of. Sense making.

Clarity also takes perspective. The ability to step back for a moment, look at an issue from different angles and see what gets lost in the noise.

Recently, we have devoted much of our time to doing just that with AI. We have followed its development for years, yet even we have begun to find its complexity almost bewildering.

But our starting point was not which tools businesses should use. We started with the bigger questions:

  • What is actually happening?

  • What forces are driving it?

  • What new dependencies are taking shape?

  • Where is value being created—and where is power concentrating?

  • What does all this mean for individuals, businesses, societies and countries, in terms of both risk and opportunity?

Making sense of the present meant looking back. Although AI’s roots go back to the 1950s, we focused on its development from 2006 onwards and mapped today’s value chain—from raw materials, energy and chips through computing capacity, models and agents, all the way to the people who use and live with AI.

We explored the technology alongside its implications for businesses, economies, societies and geopolitics.

Three visuals emerged from this work:

  1. An overview of AI’s many dimensions

  2. A timeline showing how we got here

  3. A geopolitical map of power, dependencies and adoption

Together, they begin to offer a map of a rapidly changing landscape.

But in AI, a map can be out of date within days. We therefore also needed a structured way to keep track of developments - an agent that could monitor the field, assess what had materially changed and help us keep the map current. The aim was to find our bearings and decide where to go, without waiting for certainty.

Clarity over certainty.

So far, so good.

The work also brought something else into focus: no single perspective can do justice to an issue with this many dimensions.

We can develop frameworks, test hypotheses and use artificial intelligence to challenge our thinking. But we firmly believe in collective intelligence, both human and artificial. Our map needs to be tested against other people’s experience.

People facing different decisions. Seeing different risks, opportunities and dependencies. Feeling the friction in places we might overlook.

That is where we are now. As summer has turned to autumn, we have had several opportunities to test and refine our thinking - and, along the way, help others find their own course.

And it all starts with clarity.


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An Outside Perspective