29/04/2026
There is a case to be made that many organisations should slow down their AI efforts.
Not because the technology lacks potential, but because the conditions required to extract value are often missing.
Across boardrooms, AI has become a signal of progress. The expectation is clear. Move early, move fast, show activity. But speed, in this context, can be misleading. When the underlying business logic is not well defined, acceleration does not create an advantage. It compounds inefficiency.
AI does not introduce clarity. It depends on it.
It requires a precise understanding of where decisions are made, how value is created, and which constraints actually limit performance. Without that, it is applied broadly rather than deliberately. The result is a growing layer of tools, models, and initiatives that operate in parallel, rarely converging into measurable impact.
This is why many organisations find themselves in a strange position. High levels of AI activity, yet limited change in margins, growth, or capital discipline.
From a board perspective, this should raise a different question.
Not “How fast are we adopting AI?”
But “Where does AI materially change the economics of this business?”
That question forces a slower, more selective approach. Fewer initiatives. Clear ownership. Direct links between capability and outcome. In some cases, it may even lead to the decision not to apply AI at all in certain areas.
That is not hesitation. It is discipline.
In AI Is Not One Story(https://skaleegenkapital.com/our-insights-skale-egenkapital/ai-is-not-one-story/), we explore why AI should not be treated as a single transformation narrative, and why many of the current approaches risk scaling ambiguity rather than value.
Moving slower, in this context, is not about falling behind.
It is about avoiding the cost of moving in the wrong direction.