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For decades, enterprises have been built around traditional currencies:
money, budgets, headcount.

But with the rise of AI, a new unit of value is emerging: tokens.
Every interaction with models, every generated line of code, every automated workflow — all of it is measured, optimized, and ultimately constrained by tokens.

What looks like a technical detail is quickly becoming something much bigger:
A new economic layer inside the enterprise.

In this session, we explore what it means when tokens become a core currency for building and operating software systems:

  • How tokens reshape cost structures in engineering
  • Why prompt design becomes a financial decision
  • How efficiency shifts from infrastructure to inference
  • What happens when every API call has a marginal cost

This is not just about optimizing usage. It’s about a fundamental shift:
From thinking in compute and capacity to thinking in consumption and token economics.

--------- What to expect
A new perspective on AI cost and value in enterprises, How token-based pricing changes engineering decisions, Implications for architecture, tooling, and governance, Why FinOps needs to evolve into “AI Ops”

--------- Who should join?
Engineering leaders and architects, Platform and infrastructure teams, FinOps and cloud cost experts, Anyone working with LLMs and AI systems in production

Related topics

Artificial Intelligence Machine Learning Robotics
Technology Innovation
Enterprise Architecture
Technology Governance
Business Scaling

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