There’s a massive problem in the AI world that almost nobody is talking about: unit economics.
Unit economics is simply what it costs, end to end, to answer one more question using AI.
Right now, those unit economics are impossible to know because AI pricing is heavily subsidised to drive adoption.
Big tech is in a gold rush for dominance, so prices are kept low, often close to variable cost, while the massive data centre investment sits in the background.
At some point, those costs will be recovered, and pricing and packaging will reset.
That creates a real risk for businesses: if your AI use case only delivers marginal gains, today’s “win” can flip into tomorrow’s loss when prices rise.
This will hit Copilot-style rollouts, RAG-heavy workflows, and token-hungry systems that scale quietly behind the scenes.
That's why we built Kiraa using an entirely different architecture.
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