This article digs into a growing worry in AI startups: how revenue reporting can get murky, especially when it comes to ARR (Annual Recurring Revenue) versus Committed ARR (CARR).
There’s tension here. Traditional ARR sticks to recurring revenue from customers who are actually using the product, while CARR throws in signed contracts that haven’t gone live yet.
That difference? It makes CARR much easier to pad when you’re forecasting future revenue.
Startups sometimes stretch the rules. They might count long free pilots, multi-year contracts, or steep discounts as ARR, even though the money isn’t in the bank yet.
It’s not just a minor detail. This kind of metric-blurring can warp how the market sees you and set up funding stories that don’t really match reality.
ARR vs CARR: Definitions and the Core Issue
ARR is all about recurring revenue from customers who are up and running. CARR includes deals that are signed but haven’t started generating cash.
That gap? It’s where things get fuzzy. CARR can be inflated, especially if you’re eager to show growth that isn’t quite real yet.
Why CARR is a temptation and where it creeps in
TechCrunch and other folks in the industry have noticed that CARR-heavy stories are everywhere. Venture capitalists know it, too.
Sometimes, CARR numbers overshoot ARR by 70%. One big enterprise even claimed $100 million in ARR, but a lot of it hadn’t actually been collected.
Startups often count those long, free pilots and deep-discount deals as ARR. They don’t always factor in churn or the chance things won’t pan out.
Some investors look the other way. A bigger number draws in talent, customers, and the press, which can boost a fund’s image—at least for a while.
But not everyone’s on board. A handful of founders push for transparency, arguing it’s the only way to build lasting value. Others warn that mixing up CARR and ARR will eventually backfire—maybe sooner than people think.
Impact on investors and market dynamics
Inflated revenue metrics can push companies to chase appearances instead of real, steady growth. With all the AI hype, it’s tempting to act like future revenue is already in the bag.
This kind of thinking can fool people about how well the product fits the market, the risks of actually making it work, and how fast cash is really coming in.
It also muddies the waters for investors trying to do their homework. When not everyone calls out questionable numbers, it starts to feel normal, and the bar for honest reporting drops.
Best practices for credible revenue reporting
- Spell out ARR and CARR in every disclosure, and show both numbers if you can.
- Don’t lump in uncollected revenue with ARR. Keep it separate from deals that haven’t started earning real money.
- Factor in churn, downsell, and the risk of failed launches when you’re projecting run rates. Pilots aren’t guaranteed revenue, so don’t treat them like they are.
- Stick with conservative, forward-looking numbers, and add clear disclaimers about what might not convert or how long it’ll take to see the cash.
- Get outside verification—audits or third-party checks help keep everyone honest.
- Line up your metrics with actual cash coming in, like cash receipts and how long it takes to get paid (DSO).
- Build a culture of accountability where leaders care more about real value than splashy headlines.
Role of governance, due diligence, and policy signals
Industry watchers and investors keep pushing for stronger governance. They want formal revenue recognition policies, external audits, and clear paths for escalating discrepancies.
As market dynamics shift toward usage-based pricing and longer-term deals, companies really need robust reporting standards. Without them, it’s way too easy to misinterpret numbers and lose investor trust.
Here is the source article for this story: How VCs and founders use inflated ‘ARR’ to kingmake AI startups