The cloud bill and the margin
Software margins are under pressure from infrastructure and inference costs, but the pressure is uneven and the industry median has not moved. That gap between the aggregate and the cohort is the thing to examine, because a healthy blended margin can hide accounts that lose money.
The 80% gross margin belonged to a specific technical era, when replication was close to free and cloud infrastructure had finished commoditizing. Whether that era is ending is a question people answer too quickly in both directions.
The aggregate numbers are calm. Benchmarkit’s 2026 metrics report finds median software gross margin holding above 80% and stable across 4 years, and says plainly that industry-wide infrastructure costs have not yet compressed software margin at the median. Anyone claiming a general margin collapse is ahead of the data.
Particular cohorts are not calm. The 2026 Aleph and Benchmarkit benchmarks put usage-only pricing models at 62% gross margin against the 80% software median, because compute cost scales with revenue rather than sitting against a fixed subscription. ICONIQ’s 2026 State of AI report, drawn from around 300 executives at companies building AI products and published in July 2026, records average gross margin for those products at 45% for 2025, with respondents expecting 53% in 2026 and 59% in 2027. Those forward figures are expectations rather than results, which is worth holding onto: they describe what builders think will happen to their own costs.
The arithmetic at the unit level is easier to trust than any forecast. Ben Murray of The SaaS CFO worked a straightforward case: add an assistant feature to an 80 dollar per month seat, and inference, routing and supporting infrastructure can add roughly 15 dollars of direct variable cost, taking gross margin on that seat from 80% to nearer 65%.
Why a blended number hides the problem
Because cost to serve varies by account and revenue does not follow it.
A company with a healthy company-wide margin can contain a set of accounts running at a fraction of it, driven by heavy usage, unmanaged data retention, custom infrastructure or bespoke integrations agreed years ago at a price that no longer covers the cost. Nobody notices, because nobody calculates margin per customer. The account is large, visible and celebrated, and the rest of the base is paying for it.
This is not universal. Plenty of companies at this size have flat cost to serve across the base and nothing interesting to find. The point is that the blended figure cannot tell you which kind of company you are looking at, and the blended figure is usually all that is offered.
Why this is board work
Because the fix is architectural and commercial at once, and it takes several quarters.
The commercial half is repricing accounts that do not cover their cost, which is a negotiation with a customer who currently believes they have a good deal, and which cannot be done to all of them at once without a churn event.
The technical half is cost attribution before optimization. You cannot manage cost to serve that you cannot see, and many companies at this size cannot attribute infrastructure cost to a customer at all.
Neither half completes inside 100 days, and both drift the moment nobody is asking. The measurement that keeps it honest is gross margin by customer cohort, reviewed quarterly, against the plan agreed at close.
More insights
Nobody can state the ROI, so nobody can defend the price
A company that cannot express what its product is worth in the customer's own numbers will discount under pressure, lose renewals it should win, and never raise prices. This is one of the most tractable problems in the first 100 days after an acquisition.
Pricing built before the market changed
Seat-based pricing is no longer the default it was, and among the companies buyers look at in this range it often was not the default to begin with. What matters in diligence is not which model a target uses but whether anyone has examined it since it was set, and what moving it would cost.
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