AI keeps getting better. Why do so few companies get better as a result?

AI keeps getting better.

Why do so few companies get better as a result?

Everywhere, the conversation is about tools:

Models. Prompts. Agents.

What I repeatedly see in conversations with managing directors:

AI rarely fails because of the tool.

It fails because of organisation and leadership.

The real bottleneck is not technology. It is access to context. Standard AI knows the world. But not your company.

When people think of context, most first think of data: master data and transaction data. I call that data context.

What is almost always missing is decision context.

These are an organisation’s explicit rules and decision logic. And people’s implicit experiential knowledge: the instinct for how decisions are actually made beyond documented rules.

Only when both contexts come together does a real competitive advantage emerge.

Who decides which context matters?

Who carries responsibility?

This is not an IT question.

This is a leadership question.

Honest question: are you currently talking about tools, or about your organisation?

#Leadership #ArtificialIntelligence #HybridOrganisation