How CFOs Should Evaluate AI-Augmented Finance Talent

Your next finance hire may have a résumé that looks very different.

Instead of emphasizing years spent building reports manually, candidates may highlight AI-assisted forecasting, agentic research, automation, and other augmented skills.

That creates a new hiring problem for CFOs.

Traditional signals such as tenure, titles, and years of experience still matter, but they may not reveal how much leverage someone can create with modern tools.

A younger candidate may have fewer years on the job while being capable of automating work that once required several people.

The evaluation model has to expand. Leaders need to understand not only what a candidate has done, but how that person structures work, validates AI-assisted output, exercises judgment, and converts tools into repeatable operating leverage.

How should we evaluate the new generation of finance candidates?