Rule of 40AI/MLSeries B

Rule of 40 for AI/ML at Series B

2026 data · Sample size: 350 · Source: HubSpot Marketing Statistics 2025

25th %ile

26.8%

Median

48.5%

75th %ile

75.9%

90th %ile

85.3%

▲Trending up year-over-year

About This Metric

Sum of revenue growth rate and profit margin should exceed 40% for a healthy SaaS company.

Revenue Growth Rate (%) + Profit Margin (%)

Higher is better · Unit: percentage

How to Improve

Model multiple scenarios that show different paths to Rule of 40 compliance. Invest in automation across sales, support, and operations to improve margins. Focus on expansion revenue which is more capital‑efficient than new‑logo acquisition. Build pricing power through product differentiation and customer switching costs. Implement zero‑based budgeting to ensure every dollar drives growth or margin.

Ehsan's Analysis

The Rule of 40 breaks down for AI companies because AI has a unique cost structure: inference costs scale with usage AND quality improvements require ongoing research spending. A SaaS company at maturity can stop R&D investment and maintain the product (not recommended, but possible). An AI company that stops model improvement falls behind within 6 months. This means AI companies have a structurally higher "maintenance capex" than SaaS, reducing achievable margins by 10-20 percentage points. The AI-adjusted Rule of 40 should subtract "model improvement capex" (distinct from R&D for features) from the margin calculation. By this measure, most AI companies scoring 40+ on the traditional rule are actually at 25-35 adjusted. The AI companies hitting 40+ adjusted (Palantir, arguably) have found ways to improve their products through customer data rather than research spending, which reduces model improvement capex while maintaining competitive positioning.

Ehsan Jahandarpour

AI Growth Strategist & Fractional CMO

Forbes Top 20 Growth Hacker · TEDx Speaker · 716 Academic Citations · Ex-Microsoft · CMO at FirstWave (ASX:FCT) · Forbes Communications Council

Frequently Asked Questions

What is a good Rule of 40 for AI/ML companies at Series B stage?

The median Rule of 40 for AI/ML companies at the Series B stage is 48.5%. Top‑quartile companies (75th percentile) significantly outperform this baseline. The most important factor is consistent improvement over time rather than hitting any single target number.

How does Rule of 40 differ by company stage in AI/ML?

Rule of 40 typically improves as AI/ML companies mature from seed through growth stage. Earlier‑stage companies should benchmark against stage‑appropriate peers rather than comparing themselves to mature companies.

How often should AI/ML companies measure Rule of 40?

AI/ML companies at the Series B stage should track Rule of 40 monthly with quarterly deep‑dive analysis. Set up automated dashboards and alerts for significant deviations from your baseline.

What factors most impact Rule of 40 in the AI/ML sector?

In AI/ML, the primary factors impacting Rule of 40 include product‑market fit maturity, competitive landscape intensity, customer segmentation strategy, pricing optimization, and operational efficiency. Series B‑stage companies should focus on the one or two highest‑leverage factors rather than trying to optimize everything simultaneously.

How does Rule of 40 for AI/ML compare to cross‑industry benchmarks?

AI/ML Rule of 40 benchmarks can differ significantly from cross‑industry averages due to factors specific to the AI/ML vertical including customer acquisition dynamics, competitive intensity, and typical deal sizes. Always compare against industry‑specific benchmarks rather than broad averages for meaningful insights.