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Anup Kejriwal avatar
Founder & CEO, MangoApps
May 06, 2026 · 1 min read

AI ARR needs a gross margin test

A lot of AI companies are announcing they grew ARR to 8 or 9 figures in just a few months.

First, congratulations. That is impressive. But we should be careful not to compare apples to oranges.

In traditional SaaS, revenue often came with 80%+ gross margins once the product was built and scaled. In many AI businesses, a meaningful part of every dollar goes back into compute, inference, model costs, and infrastructure.

That does not make these bad businesses. It just means the revenue profile is different.

A grocery store can be a great business. So can a software company. But $100M of grocery revenue and $100M of high-margin SaaS revenue are not the same thing.

The better question is not how fast ARR is growing. It is how much durable gross profit is left after serving the customer. That is where the real comparison should start.

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About the author

Most frontline organizations struggle not just because their systems are fragmented across communication, operations, and knowledge, but also because they lack modern, AI-powered tools built for how work actually happens today. Over the past 15+ years, I’ve focused on solving this problem—helping organizations eliminate silos and build a unified platform for daily work. My work sits at the intersection of frontline workforce operations, employee experience platforms, and AI-native digital workplace technology. At MangoApps, we’ve built an AI-native workforce platform that brings people, tools, knowledge, and AI together in one place—so managers can keep teams aligned, work moving, and employees supported across frontline and office environments. Today, our platform supports millions of employees globally, helping organizations simplify operations, improve communication, and deliver a more connected, intelligent workplace experience.

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