This panel brings together voices from companies that are heavy consumers of AI tokens to unpack how usage patterns are evolving in practice. Panelists share real data and firsthand insights on:
- How token consumption is shifting as companies move from pilot projects to production workloads
- The tradeoffs between frontier models and open-source or specialized alternatives — and when each makes sense
- What's actually driving optimization decisions: cost, latency, task-specific performance, or something else entirely
- What rising or falling token usage signals about a company's AI maturity and product strategy
- Practical, hard-won lessons from teams operating at scale
Watch to get a clear-eyed view of where the real value — and the real spend — is heading across the AI stack.
