Pricing the Intelligent Future: AI, Infrastructure, and the Usage Economy

  • AI Is Reshaping the Economics of Software and Labor

    The shift to agentic AI breaks the near zero marginal cost model of traditional SaaS by introducing ongoing compute costs for every inference and workflow. Compute becomes a new form of labor, forcing companies to rethink unit economics, value creation, and cost governance.

  • Domain-Specific Agents Will Become the Primary Source of Competitive Advantage

    Generic models are commoditizing while specialized agents trained on proprietary data create pricing power. Companies that build industry tuned agents can charge premiums, expand through new modules, and establish defensible differentiation.

  • Monetization Must Evolve Toward Usage, Governance, and Outcome Alignment

    AI’s variable cost structure requires usage based or hybrid pricing tied to tokens, workflows, and compute tiers. Customers will demand cost predictability, governance tools, and transparent value measurement, which creates new opportunities for premium features and performance based pricing.

    Ali Arsanjani – PhD, Director Applied AI Engineering – Google