Q: What do you call it when FinOps maturity surges but cloud efficiency plummets?
A: An AI-nigma.
I don’t claim to be a comedian. But I do claim to be Fred FinOps, so the paradoxical findings from CloudZero’s new report titled FinOps in the AI Era: A Critical Recalibration, created in partnership with B2B SaaS benchmarking firm Benchmarkit, had me scratching my head.
The good news:
- 72% of companies now have formal cloud cost management programs, up from just 39% the year before
- 87% of companies now assign cloud cost budgets, up from 73%
- 64% of companies have adopted chargeback, one of the more advanced FinOps capabilities, up from 45%
These numbers tell a story of cloud cost maturity and control. But then there’s the bad news:
- Cloud Efficiency Rate (CER) has fallen by an average of 15% across all segments (80% → 65%)
- Top quartile CER has fallen from 92% to 85%
- 25th percentile CER has fallen from 70% to 45%
CER measures how much of your revenue you spend on the cloud. A company with a 92% CER sends just 8% of their revenue to their cloud providers. So, across the board, companies are sending 15% more of their revenue to cloud — including AI — providers than last year, with the least efficient companies sending a full 25% more.
The culprit, as you might have predicted by now, is AI spending. 40% of companies now spend $10M or more a year on AI; compare that to 47% of companies doing the same in the cloud, which launched 13 years before ChatGPT was a glimmer in anyone’s eye. As AI spending eats into margins, FinOps leaders face that old, early-disruption-cycle dilemma: How do we balance spending money on sexy new features that will make us money, and saving money so that we don’t run out of money?
In other (fewer) words: How do we balance making money and saving money?
Making Money Versus Saving Money
One thing I know to be true is that no matter what, you can’t save your way to success. You’re not going to add a bunch of new customers because you cut your Anthropic spending; you’re going to add customers because you shipped a revolutionary new feature (which ballooned your Anthropic spending).
Another thing I know to be true is that you can’t spend your way to success — forever. That revolutionary new feature will require some unprofitable outlays at first, but if unprofitability never transforms into profitability, you don’t have a business.
You can’t save your way to success, but you can (and will have to) save your way out of failure.
At a moment like this, it feels like there’s a fundamental tradeoff between making money and saving money. But in reality, they’re inextricably linked, bridged at the midpoint of sound investment.
At its most mature, a company can identify sound investments as those which produce the healthiest profit. In a moment like the one we’re currently experiencing with AI, profit might not be the crowning indicator, but that doesn’t mean sound investment is impossible to quantify — or qualify.
FinOps leaders understand that FinOps success depends as much on cultural change as anything. People up and down the leadership hierarchy need to buy into the FinOps vision in order to consider farther-reaching changes like KPI updates, process changes, new tooling, etc. The earlier you secure this buy-in, the easier it is to infuse FinOps capabilities into your company’s core operations.
The report indicates that, for cloud costs, companies get this and are prioritizing it, whereas for AI costs, financial efficiency is less of a concern.
How can you drive FinOps for AI in a moment where leadership cares more about making money than saving money? Pitch sound investment guardrails whose sole purpose is to connect IT investments with business outcomes.
Explain that your goal isn’t to halt or even slow AI investment, necessarily, but merely to show how it’s impacting key metrics like company profitability, customer margins, COGS, and CER. And furthermore, from a cultural perspective, that FinOps for AI is fundamentally about giving your engineers the data they need for autonomous efficiency: showing them how that code they shipped last night impacted key business outcomes, enabling them to prevent unnecessary overspending before it happens.
Some unprofitability is strategic. Other unprofitability is simply a waste. guardrails like these, implemented early enough, help you promote the former and eliminate the latter.
Avoiding The Perilous Pivot
What tends to happen to companies after the earliest stage of the disruption cycle is this perilous pivot.
Revenue growth slows, and you have to turn on a dime from growth to profitability. You lay people off, you slash IT costs, and you otherwise radically change the composition of the company to salvage whatever you can.
This just isn’t necessary. Sound investment can and should be a company priority from day one. The earlier you adopt ways to quantify sound investment, the earlier and less painfully you’ll get to profitability. From a security perspective, people know not to wait for a life-threatening hack to put essential controls in place. Sound investment is the highest aim a company can aspire to; just like security, your culture and processes should always reflect this.
The Cloud Cost Playbook
The step-by-step guide to cost maturity
