What is Gross Margin Preservation?
Gross Margin Preservation is the discipline of protecting software gross margins as AI features are added to the product.
Gross Margin Preservation is the discipline of protecting software gross margins as AI features are added to the product. Traditional software has near-zero marginal cost of serving an additional user. AI features introduce variable inference costs (API calls, GPU compute, token usage) that erode gross margins with every interaction.
The Margin Trap: - Traditional SaaS gross margins: 75-85% - AI-enhanced SaaS gross margins: 50-70% - AI-native products with poor controls: 20-40%
Gross Margin Preservation strategies include: model right-sizing (using the smallest model that achieves acceptable accuracy), intelligent caching, request batching, and tiered AI access (reserving expensive models for high-value interactions).
Why It Matters
Investors price SaaS companies on gross margin. A 10-point gross margin decline from AI features can reduce enterprise valuation by 30-50%. Richard Ewing's Evergreen Ratio framework specifically measures the balance between variable AI costs and fixed traditional code costs to protect margins.
How to Measure
Track gross margin monthly. Decompose into traditional software COGS vs. AI inference COGS. Monitor the trend. Use the AUEB tool to model margin impact of AI feature decisions.
Frequently Asked Questions
Can you have high growth and preserve gross margins?
Yes — but it requires intentional architecture. Companies that optimize AI inference costs (model selection, caching, batching) can maintain 70%+ gross margins even with heavy AI usage.
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Richard Ewing is a Product Economist and AI Capital Auditor. He helps companies translate technical complexity into financial clarity.
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