Decoding Gen AI Pricing: Why Traditional Software Models Are Breaking—and What’s Replacing Them
For the last couple of years, enterprise adoption of generative AI operated under a single unwritten rule: adoption at all costs. Companies rushed to deploy AI copilots and foundational models, treating steep software bills as the cost of staying relevant. But as organizations navigate their second and third waves of renewal cycles, the honeymoon phase is over.
The burning question for CFOs, product leaders, and tech buyers is no longer just “What can this AI do?” but rather “How are we paying for it, and is it actually worth it?”
Generative AI has fundamentally broken traditional software economics. To survive this shift, both vendors and buyers are being forced to reinvent how intelligence is packaged, measured, and monetized.
The Fatal Flaw of Traditional SaaS Pricing
For decades, the software-as-a-service (SaaS) industry relied heavily on per-seat pricing (
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