AI is no longer just a software subscription, it is becoming a portfolio of cost, control and accountability choices:
– Cloud AI creates usage risk.
– Local AI creates capital risk.
– Hybrid AI creates routing risk.
– Large models create breadth.
– Small models can create control.
– Audit trails create defensibility.
The useful enterprise question is no longer simply: “Which AI tool should we use?”
It is:
– Where should this work run?
– What does verified machine work actually cost?
– Which data can leave the organisation?
– Which outputs require human approval?
– Can the decision be reconstructed later?
This is where AI moves from productivity software into governance infrastructure.
In this Something for the Weekend article, Henri Winand sets out the boardroom version of that question:
https://lnkd.in/eerzH6qG
