Enterprise Software Ditches Flat Fees for AI Usage Pricing

Enterprise software companies are abandoning flat per-user subscription fees in favor of usage-based pricing tied to AI consumption. By end of 2025, 79 of the 500 largest software firms tracked by analyst Kyle Poyar, including HubSpot, Adobe, and Salesforce, had implemented additional charges based on AI usage, more than doubling the count from 2024. This shift reflects how AI capabilities are disrupting traditional seat-based licensing models that no longer capture the value these tools generate.
TL;DR
- →79 of 500 major software companies now charge extra for AI usage, up from roughly 35 in 2024
- →HubSpot, Adobe, and Salesforce among firms moving away from flat per-user fees
- →Usage-based pricing reflects AI's threat to legacy seat-based subscription models
- →Shift accelerated through 2025 as AI features became core product differentiators
Why it matters
This pricing migration signals that AI is no longer a peripheral feature but a primary value driver in enterprise software. Companies can no longer sustain traditional per-seat models when AI usage varies wildly across customers and generates outsized value for heavy users. The shift also indicates consolidation around usage-based economics as the industry standard for AI-augmented products.
Business relevance
For operators and founders, this trend validates usage-based pricing as a viable model for AI-heavy products and suggests customers will accept incremental charges for AI capabilities. It also creates pressure on legacy software vendors to restructure pricing or risk losing customers to more flexible competitors. Startups building AI tools should consider usage-based models from the outset rather than retrofitting traditional licensing.
Key implications
- →Seat-based licensing is becoming obsolete for software with meaningful AI components, forcing legacy vendors to restructure revenue models
- →Usage-based pricing may increase customer acquisition costs initially but allows vendors to capture more value from power users
- →Customers gain flexibility but face unpredictable costs if AI usage scales unexpectedly, creating new procurement and budgeting challenges
What to watch
Monitor whether usage-based AI pricing becomes standard across all software categories or remains concentrated in specific verticals. Watch for customer backlash or churn if AI charges become too aggressive, and track whether startups gain competitive advantage by offering more transparent or predictable AI pricing models. Also observe how enterprise procurement teams adapt to managing variable AI costs in their budgets.
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