By Ankit Sarawagi,
AI has changed how money moves inside companies. Over the last two years, I have seen teams rush into AI tools, scale infrastructure in weeks, then struggle to explain the returns in boardrooms. The CFO role has moved away from guarding budgets. It now sits at the center of capital judgment. The work is turning experimentation into economics, curiosity into control, and ambition into outcomes you can stand behind when the numbers get questioned.
When Reality Shows Up
In early 2024, a growth stage SaaS company signed off on a big generative AI spend. It felt like the right call. The deck looked solid. The demos worked. Heads nodded around the table and everyone moved on.
A few months later, the story changed. Cloud bills kept growing. Usage did not. Board meetings felt heavier. People spoke less. Questions came slower and clearer. What looked obvious earlier now needed defending.
AI creates speed and confidence. It also removes any cushion for loose capital decisions. The gap between excitement and economics shows up quickly and usually at the worst moment. That is why CFO thinking has shifted.
The role today lives in the messy middle, backing ambition while keeping a tight grip on control so the company stays standing when reality hits.
How CFO Thinking Is Changing
The first change is in how returns are judged. AI rarely delivers value in a straight line. The impact shows up in time saved, tickets avoided, or teams moving faster. CFOs have stopped chasing perfect ROI math here. They look at practical signals. Productivity per person. Cost per automated task. Margin movement tied to real usage. With AI spend exploding, belief alone carries no weight anymore.
The second change is around budgeting. Fixed annual budgets break the moment AI enters the picture. Costs move. Usage surprises you. CFOs now prefer rolling forecasts and staged funding. Money gets released in steps. Teams earn more capital by showing adoption and learning, not by selling a vision. This keeps speed without letting losses run wild.
The third change is how risk gets framed. AI bets feel exciting, but core revenue still keeps the lights on. CFOs separate experimentation from operations. A clear pool funds exploration. The rest stays disciplined. This removes drama inside teams and sets clear boundaries for ambition.
The fourth change is talent. In AI driven businesses, a few strong hires change everything. CFOs now look at output, not headcount. One high quality AI hire can wipe out layers of manual effort. Talent has become one of the most important capital decisions on the table.
Risks That Deserve Attention
Once the hype settles, a few things start showing up every time. Usage creeps up and the cloud bill suddenly feels bigger than anyone expected. Teams get comfortable with one vendor and realize late how stuck they are. Too much knowledge sits with one or two people and everything slows down when they are unavailable. Automation sounds clean in a deck, but the savings arrive slower in real life. And when AI messes up in front of a customer, brand damage hits immediately. These issues stay invisible early. They surface when no one is watching closely.
What Comes Next
AI rewards companies that stay honest with their money. The job stays simple, even if it feels messy. Fund learning. Watch what actually changes. Move capital the moment the signal shifts. When cycles turn, clarity is what keeps the room steady and the company standing.
The author is chief financial officer, Verloop.io. Views are personal.
