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Navigate the economics of AI

How tokenomics is reshaping AI costs and ROI

Tokens are the currency of AI. Learn how they influence pricing, costs, and the value different agentic models can deliver.

Key takeaways

  1. AI economics are fundamentally different from traditional IT economics 
    As AI adoption accelerates, organizations must adapt to new consumption-based cost models that are more dynamic and difficult to predict.
  2. Tokens are the primary driver of AI cost and value 
    Understanding how tokens are consumed is essential for managing costs, scaling AI responsibly, and maximizing business outcomes.
  3. Competitive advantage depends on optimizing AI consumption, not just AI adoption 
    Organizations that actively manage and optimize token usage will be better positioned to control costs, improve ROI, and capture greater value from their AI investments.

Explore the full report to navigate AI economics and turn investment into sustainable value

AI is rapidly becoming one of the largest and most unpredictable cost drivers in the enterprise, forcing organizations to rethink how technology investments get measured, governed, and scaled.

As adoption accelerates, traditional cost models break down. AI no longer scales through licenses or compute alone, but rather, scales through tokens, the currency of AI work that links usage directly to cost and business value. AI cost structures also depend on how solutions are built and deployed, each with distinct implications for scalability, cost efficiency, and control.

For Canadian organizations, governing AI means treating this investment as a dynamic economic system, forecasting, and optimizing token consumption with the same discipline applied to capital. This challenge is amplified in a constrained economy, where innovation has to move without losing cost discipline, data sovereignty has its own demands, and ROI has to be measurable.

Those who succeed will convert AI consumption into enterprise value, aligning infrastructure, operating models, and financial governance to optimize outcomes. But without the right discipline, efficiency gains will fuel more usage and higher costs, eroding the value they were meant to create. 

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