TechnologyDemo analysis
Software margins face a new cost: inference
AI features can support pricing and retention, but the unit economics depend on how usage turns into computing expense.
A new feature can raise product value while also introducing a variable cost that the conventional software model was not built to absorb.
Why the setup matters
The important comparison is not simply AI revenue against AI spending. Investors need to understand usage, model choice, pricing, and the infrastructure work that changes cost per task.
A useful market thesis separates the signal investors can monitor from the story they merely hope will happen.
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What to watch next
Look for cohort-level adoption, pricing that follows value, and a declining compute cost per useful customer outcome.