The AI business case is moving from adoption to cost recovery.
That matters for boards, CFOs and risk leaders.
Many organisations still compare AI tools with employees as though the comparison is simple:
- salary versus subscription.

It is not.

AI work brings a different cost structure:
– usage,
– compute,
– tokens,
– cloud,
– integration,
– security,
– supervision,
– verification,
– vendor dependency,
– and liability.

The point is not that AI will fail, the point is that unmanaged AI usage can convert fixed headcount cost into variable machine-work cost without proper governance.

As CFO Brew has noted, finance teams are already dealing with more variable technology budgets. So, as @Anthropic and Google Cloud show through recent infrastructure announcements, AI capacity is not abstract. It is physical, capital-intensive and metered.

In this ‘Something for the Weekend’, Henri explains why the “$200 digital employee” was always the wrong framing.

Read the article:
https://lnkd.in/eXhMGTza