Platform-agnosticism as a symptom of strategy

Most "AI adoption" right now is a Copilot licence and some prayers.

It comes bundled with the M365 contract your company already has. An admin switches it on with a click, and hopefully someone on the team works out what to do with it. No strategy involved.

This is not just a feeling. A new AWS-commissioned report on AI adoption in the Nordics shows the shape of the problem. 85% of businesses say they use AI providers from multiple regions. 80% say switchability matters. On the surface, that sounds like flexibility is widespread, and sovereignty is alive.

Then look at the adoption tiers in the same report. 54% of AI-adopting businesses are still at the most basic stage of use. Only 28% have reached "advanced" deployment, whatever that might be.

That changes the story. The businesses that genuinely multi-source are likely to be the ones already far enough along to know what they need. The majority in the basic tier is not necessarily choosing flexibility. In many cases, they use whatever arrived with the software estate they already had. Google Workspace > Gemini, M365 > Copilot, etc.

Platform-agnosticism is not just a tactic you adopt to avoid lock-in. It is a symptom that tells you whether anyone has done strategic thinking at all. Picking the right tool for the task requires knowing more than one exists, knowing what each is good at, and having the capacity to govern those choices.

Most SMEs have not yet built that capacity. So when you see a business running one vendor across everything, you may not be looking at a vendor decision. You may be looking at the absence of a decision. If your AI strategy is a licence bolt-on, you are not really adopting AI. You are paying a tax on hope.

Look at your AI stack honestly. Did you choose it, or did it choose you?

If you need help deciding how to do it properly, let me know.