Finding · The 2026 State of B2B Software Monetization
Can B2B software companies meter AI-agent usage separately from human usage?
According to Nalpeiron’s 2026 State of B2B Software Monetization study (n=243 B2B software companies with AI features, fielded June 2026), 79% of companies can differentiate human-user usage from AI-agent usage in their entitlement or metering infrastructure.
Key numbers
| Response | Share of companies with AI features |
|---|---|
| Yes, we can differentiate human and agent usage | 79% |
| No, we cannot make that distinction | 18% |
| We do not have AI agents in our product yet | 3% |
| Unsure | 0% |
Question Q21. n = 243 (companies with AI features).
What this means
The ability to separate agent activity from human activity is the technical precondition for pricing AI agents. When a single seat can dispatch thousands of automated actions, per-seat pricing stops tracking the value delivered, and the meter has to see the difference. In this study, that capability is already common rather than rare: 79% of companies with AI features can make the distinction.
Measurement is not the bottleneck. A related figure in the same study shows 60% of companies can meter AI usage in real time overall (n=255), and the agent-versus-human distinction sits higher still at 79% among companies with AI features. The harder problem is downstream: turning that measurement into a charge.
That is where the gap shows. Even though most companies can see agent usage, only 13% fully pass AI inference costs through to customers, and 44% absorb those costs entirely (n=243). Companies are watching the meter run on AI agents and, in most cases, still eating the bill.
Methodology
The 2026 State of B2B Software Monetization is based on n=255 product and engineering leaders at B2B software companies, screened for direct involvement in pricing, packaging, or monetization decisions (manager-level and above; 86% director-level or higher). It was fielded in June 2026 through an industry research panel; figures reflect 255 completes as of 19 June 2026. Two AI-inference questions use a reduced base of n=243.
This finding uses a reduced base of 243 responses, the companies to whom the question applied (survey Q21).
See the full methodology and every question on the report hub.
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This finding is one cut from The 2026 State of B2B Software Monetization. Get the complete report, all findings, and the full data appendix.
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