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.
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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
We asked 296 organizations if their AI spending went over budget.
Yes, significantly
45%
Yes, moderately
44%
No
9%
Too early to tell
3%
295
+
Enterprise software buyers surveyed
across ARR segments
89
%
Enterprise software buyers surveyed
across ARR segments
67
%
Enterprise software buyers surveyed
across ARR segments
23
%
Enterprise software buyers surveyed
across ARR segments
68
%
Enterprise software buyers surveyed
across ARR segments
55
%
Enterprise software buyers surveyed
across ARR segments
45
%
Enterprise software buyers surveyed
across ARR segments
19
%
Enterprise software buyers surveyed
across ARR segments
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
Easiest to evaluate
Hardest to evaluate
43%
14%

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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