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Foundations

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Data Was the New Oil. Now It Becomes the New Sun.

Oil was extracted, refined, burned. The Sun is different — abundant, ambient, a force that organises everything around it. Enterprise data must do the same.

Written by Bart Van Mulders

For two decades we treated data like oil. We drilled it from operational systems, refined it inside warehouses, and burned it inside dashboards. The metaphor produced a generation of pipelines, lakes, and reports — and a generation of leaders who confused measurement with intelligence.

That era is ending. Not because the metaphor was wrong, but because it was too small for what comes next.

The Sun is a different kind of asset

The Sun is not extracted. It is not stockpiled. It does not sit in a warehouse waiting to be queried. It radiates — continuously, ambiently — and every system around it organises itself in response.

Enterprise data is becoming the same. When meaning is encoded once, in a semantic layer, and made available to every agent, every workflow, every decision, the organisation stops consuming data and starts orbiting it.

The question shifts from "do we have the report?" to "is the system reasoning with the right context, right now?"

What this changes for the operating model

Three things collapse at once. The dashboard layer is replaced by queryable systems — a leader asks a question and receives an answer with provenance, confidence, and the trace that produced it. The approval chain shortens because agents reasoning from shared meaning route to humans only where judgment, taste, or accountability genuinely require it. And the org chart reorganises around decision domains, not reporting lines. The CFO no longer owns "finance data." The semantic layer does. The CFO owns the judgment that the data informs.

The discipline this requires

This is not a tooling upgrade. It is a discipline. Semantic clarity — every entity, metric and relationship defined once and owned somewhere. Decision latency as a KPI — the time between a meaningful signal and a meaningful action, measured and shrunk on purpose. Trust engineering — provenance, confidence and reversibility built into every automated decision, not bolted on after an incident.

Without these, "AI in the enterprise" remains a demo. With them, the enterprise itself becomes the AI — and data, like the Sun, simply organises everything around it.

Key takeaways

  • 01Data is no longer a resource to extract — it is a field to orbit.
  • 02Meaning lives once, in a semantic layer; every agent and workflow reasons from it.
  • 03Functions reorganise around decision domains, not reporting lines.

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Related terms

This idea is explored in practice through Discover Gravity.