Stop Guessing Your AI Costs. Download the 2026 AI Pricing Report.
A comprehensive study analyzing how 296 software buyers across industries evaluate, experience, and budget for AI pricing.
the Budget Problem
The Hidden Cost of AI Implementation.
9 out of 10 buyers have blown past their initial budgets. Learn why Al features generate unexpected internal demand and adoption velocity that standard SaaS models fail to account for.
89%
of AI buyers exceed initial budget
295+
Enterprise software buyers surveyed
across ARR segments
89%
Organizations that exceeded their
initial AI budget forecasts
67%
Name IT departments as the primary owners of budget risk
23%
Identify product teams as the core
drivers of AI adoption
68%
Rank price predictability as their
absolute #1 priority
55%
Rate token and credit models as highly complex to evaluate
45%
Find consumption-based pricing models difficult to track
19%
Prioritize a low entry price over
long-term cost stability
The Evaluation Problem
Predictability Over
Entry Price.
Buyers will actively pay a higher premium for a stable, predictable cost structure over a low entry fee. See how seat-based models stack up against consumption, tokens, and outcome-based pricing models.
Seat-based
+29
Net evaluation score
Navigating the Reality of Enterprise AI Adoption.
AI's unpredictable costs and confusing credit models are wrecking traditional software budgets. Based on insights from 296 enterprise buyers, this study explains why most SaaS evaluation models just don't work for AI.
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