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title: Token ecomonics in Amsterdam: Inside the first Tokenomicon
description: A recap of the first Tokenomicon + FinOps X conference in Amsterdam, hosted by the newly launched Linux Foundation Tokenomics Foundation. Highlights include...
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# Token ecomonics in Amsterdam: Inside the first Tokenomicon

**[Quesma](https://daily.dev/sources/quesma)** · 7 min read · 2 upvotes · 0 comments

## Summary

A recap of the first Tokenomicon + FinOps X conference in Amsterdam, hosted by the newly launched Linux Foundation Tokenomics Foundation. Highlights include Big-T Notation (a Big-O-style framework for estimating token consumption scaling), the Tokenomics Mind Map for shared AI-cost vocabulary, and the upcoming FOCUS 1.5 spec adding model ID, token-type breakdown, and PrincipalId tracking for AI billing. Talks covered prompt compression trade-offs (PointFive), linking token usage to completed tickets, forecasting API-equivalent costs for subscription-based AI usage (UNICC), and Infracost's internal AI cost-reduction agent using OpenTelemetry, PromptFoo, and Langfuse. The Foundation's September 2026 State of Tokenomics report found proving AI ROI (43%) and spend attribution (27%) as bigger pain points than pricing complexity (7%), with clear cost ownership correlating with measurable outcomes. The piece closes with the authors' own agentic-coding benchmarks and their open-source session collector, Quesma Shipper.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://quesma.com/blog/inside-the-first-tokenomicon-amsterdam>

## Questions this post answers

### What is FOCUS 1.5 and how does it improve AI cost tracking?

FOCUS 1.5 is a planned update to the FinOps Open Cost and Usage Specification aimed at broader support for AI spend. It adds model ID and family tracking, a distinction between input, output, and cached tokens, and a PrincipalId field to attribute usage to a specific developer, team, or agent. It is planned for later in the year the update was announced.

_Teams standardizing AI cost reporting can follow FOCUS spec developments through daily.dev._

### What is Big-T Notation for measuring AI token costs?

Big-T Notation is a framework from the Tokenomics Foundation that describes how token consumption grows as agentic workflows become more complex, similar to how Big-O notation estimates compute complexity. It accounts for scaling factors like repeated context, additional model calls, and agents calling other agents, helping teams estimate cost growth when designing a workflow.

_Engineers estimating agentic workflow costs can track frameworks like this via daily.dev._

### What did the September 2026 State of Tokenomics report find about AI cost challenges?

Proving value or ROI was the most commonly cited AI cost challenge, named by 43% of 472 respondents across 11 industries representing $4.6 trillion in combined revenue. Visibility and attribution of spending followed at 27%, while only 7% cited cost or pricing complexity. Teams with clear AI cost ownership were nearly four times more likely to link spend to a measurable outcome.

_Anyone justifying AI spend to leadership can follow tokenomics research trends on daily.dev._

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- [What Is Tokenomics, And Why Your AI Infrastructure Is Now a FinOps Problem](https://daily.dev/posts/what-is-tokenomics-and-why-your-ai-infrastructure-is-now-a-finops-problem-yrbmaidqg) · Cast AI · 0 upvotes · 0 comments
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---

Tags: [#llm](https://daily.dev/tags/llm), [#ai-agents](https://daily.dev/tags/ai-agents), [#finops](https://daily.dev/tags/finops)

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