FinOps X San Diego 2026

This year I had the opportunity to attend FinOps X 2026 in San Diego, the global event for FinOps professionals and industry leaders.  For me, this was more than just a conference, it was a chance to connect with peers, learn from real life examples of how FinOps has played a crucial part in organisations and how they are adapting their practices to gain investment and buy in by leveraging the value of AI.  With AI becoming a bigger part of everyday business, many of the conversations focused on AI Value, Token Economics, and Agentic FinOps, exploring how companies can keep costs under control while making sure they're getting real value from AI.

AI was the FOCUS at FinOps X 2026

It is no surprise that AI took centre stage.  This year’s conversations were dominated by the value of AI, which is reflective of how AI adoption is accelerating across businesses.  Organisations are now facing new challenges, such as, measuring the value of AI, tracking token consumption, allocating AI expenses across business units and ensuring AI investments align with business outcomes.  This sounds familiar right? 

It is clear the difficulty organisations are facing is the rate in which AI related activities are growing.  There was a clear recognition that AI cost management is about far more than simply controlling spend. Businesses want to understand whether the money they are investing in AI is generating value, improving productivity, enhancing customer experiences, or driving innovation. As AI becomes embedded in more products, services, and internal processes, visibility into both cost and value becomes highly important.

What Agentic FinOps means for Cost Management

Another topic that came up time and time again throughout the event was Agentic FinOps. AI is already helping organisations analyse data and gain insights faster than ever, but the conversation is now shifting towards how AI can take on some of the day-to-day FinOps tasks.

Instead of simply highlighting issues or suggesting actions, AI agents have the potential to take on those traditional FinOps tasks (cost monitoring, cost optimisation, anomalies) and automate them. This could reduce the manual effort involved in managing cloud and AI costs, giving FinOps teams more time to focus on strategy and delivering value to the business. Although we're still at the beginning of this journey, there was plenty of enthusiasm around what Agentic FinOps could make possible, with many organisations already considering how it might support their FinOps teams in the coming years.

Token Economics – the next FinOps Frontier?

One of the most talked about topics at the conference was the announcement of token economics as a new focus area within FinOps.  Industry leaders discussed how AI consumption models differ fundamentally from traditional cloud infrastructure. Rather than simply monitoring compute, storage, and networking costs, FinOps teams must now understand prompt usage, token consumption, etc.

The FinOps Foundation highlighted the need for new frameworks and standards to help organisations manage AI spending effectively. Discussions throughout the event emphasised that AI cost optimisation is not only about reducing expenditure, but also about maximising value generated from every AI interaction and workload.

Say hello to Tokenomicon

A key announcement was the launch of the Tokenomics Foundation and Tokenomicon, both signalling how quickly AI cost management is becoming its own discipline. The Tokenomics Foundation has been created to bring together enterprises, hyperscalers, model providers, infrastructure providers, and practitioners to develop open standards, benchmarks, and best practices for managing the economics of AI infrastructure.

Tokenomicon, announced as a new conference dedicated to the economics of AI, will provide a focused forum for organisations trying to understand how token consumption, model choice, inference costs, and AI value should be measured and managed. For FinOps teams, this is an important moment. It shows that token economics is moving beyond theory and into practical operating models, where organisations need consistent ways to track AI usage, attribute cost, benchmark efficiency and connect AI spend to business outcomes.

FinOps Lessons from real life experiences

Breakout sessions featured organisations sharing real experiences managing cloud and AI costs at scale. Topics ranged from Databricks optimisation and KPI governance to executive strategy alignment and technology investment.  A recurring theme throughout these sessions was the shift from cost visibility to value visibility. Rather than focusing solely on reducing spend, leading organisations are building frameworks that connect technology investments directly to business outcomes and generating revenue.

I had the chance to participate in a FinOps Maturity Assessment breakout session, where I was able to listen to the approach other professionals would take in assessing internally or externally.  It was great to be able to share the way in which Synyega delivers maturity assessments and gain the validation from the FinOps Foundation.

Key Takeaways: From Cloud Cost Optimisation to Technology Value

FinOps X 2026 demonstrated that FinOps is entering a new phase of maturity.  As organisations invest heavily in AI, SaaS, and emerging capabilities, FinOps professionals are being asked to deliver more than cost savings. They are increasingly responsible for helping businesses understand and maximise the value of technology investments.

The conversations in San Diego made one thing clear, as the industry moves forward, the journey for FinOps professionals has expanded beyond cloud optimisation.  The ideas introduced at FinOps X 2026 - from token economics to Agentic FinOps - are likely to shape the next generation of FinOps practices.  The focus now is technology value.