High top-line revenue is a vanity metric if it doesn't translate to profit. By setting a high margin target (e.g., 80%+) and enforcing it through pricing and cost management, you ensure the business is sane and profitable, not just busy.

Founders often feel guilty about raising prices. Reframe this: sustainable profit margins are what allow your business to survive and continue serving customers. Without profitability, the business fails and everyone loses. It's a matter of ensuring longevity, not greed.

For service-based businesses, 80% gross margins should be the absolute minimum. This high margin is not just for profit; it is the essential fuel required to cover all other business costs like sales, marketing, and administration, making it a prerequisite for scaling.

The compute-heavy nature of AI makes traditional 80%+ SaaS gross margins impossible. Companies should embrace lower margins as proof of user adoption and value delivery. This strategy mirrors the successful on-premise to cloud transition, which ultimately drove massive growth for companies like Microsoft.

High customer concentration risk is mitigated during hypergrowth phases. When customers are focused on speed and market capture, they prioritize effectiveness over efficiency. This provides a window for suppliers to extract high margins, as customers don't have the time or focus to optimize costs or build in-house alternatives.

High margins create stability but also invite competition. The ideal strategy is to operate with margins low enough to build customer loyalty and a competitive moat, while retaining the *ability* to raise prices when necessary. This balances long-term growth with short-term financial resilience.

Unlike SaaS, where high gross margins are key, an AI company with very high margins likely isn't seeing significant use of its core AI features. Low margins signal that customers are actively using compute-intensive products, a positive early indicator.

Rapidly scaling companies can have fantastic unit economics but face constant insolvency risk. The cash required for advance hiring and inventory means you're perpetually on the edge of collapse, even while growing revenue by triple digits. You are going out of business every day.

Many AI startups prioritize growth, leading to unsustainable gross margins (below 15%) due to high compute costs. This is a ticking time bomb. Eventually, these companies must undertake a costly, time-consuming re-architecture to optimize for cost and build a viable business.