Every CFO today was once the junior who stayed late to fix a broken model. Who caught a missed assumption in the variance analysis. Who closed books with spreadsheets and Red Bull?
That pain trained judgment.
But what happens when the new generation never touches the numbers?
When the AI does the work and they just click approve?
We’re raising editors. Not experts.
AI handles:
Rolling forecasts
First drafts of board slides
P&L and variance checks
80% of management reporting
But without understanding why numbers move, your team becomes surface-level smart.
The risk: a finance org that’s fast, clean, and hollow.
How do they decide who to lay off? Would be an interesting article
Every CFO today was once the junior who stayed late to fix a broken model. Who caught a missed assumption in the variance analysis. Who closed books with spreadsheets and Red Bull?
That pain trained judgment.
But what happens when the new generation never touches the numbers?
When the AI does the work and they just click approve?
We’re raising editors. Not experts.
AI handles:
Rolling forecasts
First drafts of board slides
P&L and variance checks
80% of management reporting
But without understanding why numbers move, your team becomes surface-level smart.
The risk: a finance org that’s fast, clean, and hollow.
This looks rough. Do you think it is more from over hiring or AI optimisations?
So what does someone who has been out of work for almost 2 years do?