Opsera Presents Flutter 2026 · The AI-SDLC Summit

Tokenomics: The Currency of Enterprise AI

tokenomics the currency of enterprise ai fireside chat

Why This Roundtable, Why Now

A major enterprise recently shared a data point worth sitting with: they quadrupled the number of engineers using frontier AI tools since the start of the year and their cost per token went down, not up. Not because they restricted access, but because they treated token efficiency as an engineering problem, not a budget problem: smarter caching, tuned defaults, real-time cost visibility for every engineer, and continuous evaluation of which model fits which job.

Their own leadership called it the end of the “tokenmaxxing” era, the idea that more tokens automatically means more value. What comes next isn’t about who spends the most. It’s about who uses AI the most efficiently.

As AI adoption scales across the enterprise, a new discipline is emerging, one that treats tokens the way finance treats capital. This session brings together technology and security leaders for an unscripted conversation on what’s actually working, what isn’t, and where this is all heading.

What We’ll Cover

  • What “tokenomics” actually means and why it’s no longer just an engineering conversation
  • The efficiency signal what leading enterprises are reporting about cost, adoption, and value, and what it tells the rest of the market
  • Governance and cost are the same conversation how security posture and spend visibility intersect
  • Open floor a facilitated Q&A where attendees can bring their own tokenomics questions to the panel and to each other

Who Should Attend

This roundtable is designed for senior leaders who own AI strategy, engineering productivity, or platform decisions:

  • CTOs and VPs of Engineering navigating the shift from AI adoption to AI outcomes
  • Security and Compliance Executives building governance frameworks for agentic workflows
  • DevOps and Platform Leaders responsible for inner/outer loop orchestration
  • Technical Executives making long-term bets on developer productivity platforms