AI application companies should price around recognizable work units and business outcomes rather than tokens, protecting margins while making spend forecastable. Credits mapping to completed work—not infrastructure costs—create better unit economics and customer relationships than token-per-unit pricing.
Topics: AI (Horizontal) · Enterprise Software · Venture Capital & Startups
Published by A16Z · their site ↗
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