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Why FinOps Rewrote Its Mission and What It Signals for Technology Management

Jay Litkey
Flexera

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology.

Expanding FinOps Beyond Public Cloud

Historically, FinOps was adopted by enterprises strictly for cloud cost management purposes. Now, organizations are understanding the value of adapting FinOps beyond the cloud, applying practices across the full technology stack, from AI platforms and SaaS applications to software licensing and even on-premises data centers. This recognized need for full-scale management is reflected in the 2026 Flexera State of the Cloud report, finding that 63% of organizations have established FinOps teams.

Consider the difference between technical SaaS services, which are primarily infrastructure-focused, versus business SaaS services, such as Microsoft 365 or Salesforce, which touch nearly every team and process across an organization. Managing these systems isn't just about cost control but also understanding how much meaningful value they bring to the company. FinOps teams are the boots on the ground to ensure proper management of technology and in turn, enable organizations to extract measurable value across their entire technology ecosystem.

AI Is the Biggest Catalyst Reshaping FinOps

Over the past year, increased AI projects and initiatives have infiltrated all corners of the enterprise from the ground up. The FinOps Foundation 2026 State of FinOps Report indicates that amongst all conversations across FinOps teams, AI value management is the most sought after FinOps skill set. Nearly all 1,192 survey respondents (98%) report that AI spend is the top technology investment they are managing, up dramatically from 31% just two years ago.

As organizations take on greater responsibility for managing AI spending, they require complete visibility across all technology environments, making a strong case for expanding their scope of FinOps to track and optimize AI usage and costs comprehensively. Teams are also often being asked to self-fund AI initiatives through efficiency gains elsewhere in the technology portfolio — FinOps is able to help deliver on this and deserves a seat at the executive table.

FinOps Is Gaining Executive Influence and Strategic Authority

An increase in FinOps responsibility and scope comes with greater influence over technology selection and business decisions. This rise in strategic authority is occurring concurrently with the rise in tech innovation, as the FinOps Foundation's recent survey found 75% of FinOps teams now report to CIO or CTO leadership. With FinOps supporting more business functions today, it is enabling teams to report higher value return-on-investment (ROI) metrics — a critical outcome as businesses continue to adopt new technology today.

In recent years, there has been a clear shift in what defines success, especially as innovations exit the hype cycle. Today, more and more leaders are measuring success through long-term business value. This mindset is helping organizations remain competitive and successful for years to come. In this new technology era, the true ROI is not simply about minimizing budgets — it's about sustained business value.

What's Next for Technology Management

FinOps did not outgrow cloud; it grew into technology value. With 160 or more vendors claiming to offer FinOps solutions, very few can address the expanded definition of FinOps. In the coming years, we'll see many of those who provide niche capabilities and partial visibility fall down. To ensure long-term success, companies require technology conversations that can prove unified data, consistent accountability and a shared understanding of tradeoffs across environments.

Looking forward, the FinOps Foundation's mission change only formalizes what leading organizations are already doing: leveraging FinOps to not just optimize cloud but now governing and maximizing the value of technology. As enterprises continue to foster a culture of innovation, managing across all technology environments will be a key enabler for success. Leaders, are you embracing the new age of FinOps? 

Jay Litkey is SVP of Cloud and FinOps at Flexera

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Why FinOps Rewrote Its Mission and What It Signals for Technology Management

Jay Litkey
Flexera

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology.

Expanding FinOps Beyond Public Cloud

Historically, FinOps was adopted by enterprises strictly for cloud cost management purposes. Now, organizations are understanding the value of adapting FinOps beyond the cloud, applying practices across the full technology stack, from AI platforms and SaaS applications to software licensing and even on-premises data centers. This recognized need for full-scale management is reflected in the 2026 Flexera State of the Cloud report, finding that 63% of organizations have established FinOps teams.

Consider the difference between technical SaaS services, which are primarily infrastructure-focused, versus business SaaS services, such as Microsoft 365 or Salesforce, which touch nearly every team and process across an organization. Managing these systems isn't just about cost control but also understanding how much meaningful value they bring to the company. FinOps teams are the boots on the ground to ensure proper management of technology and in turn, enable organizations to extract measurable value across their entire technology ecosystem.

AI Is the Biggest Catalyst Reshaping FinOps

Over the past year, increased AI projects and initiatives have infiltrated all corners of the enterprise from the ground up. The FinOps Foundation 2026 State of FinOps Report indicates that amongst all conversations across FinOps teams, AI value management is the most sought after FinOps skill set. Nearly all 1,192 survey respondents (98%) report that AI spend is the top technology investment they are managing, up dramatically from 31% just two years ago.

As organizations take on greater responsibility for managing AI spending, they require complete visibility across all technology environments, making a strong case for expanding their scope of FinOps to track and optimize AI usage and costs comprehensively. Teams are also often being asked to self-fund AI initiatives through efficiency gains elsewhere in the technology portfolio — FinOps is able to help deliver on this and deserves a seat at the executive table.

FinOps Is Gaining Executive Influence and Strategic Authority

An increase in FinOps responsibility and scope comes with greater influence over technology selection and business decisions. This rise in strategic authority is occurring concurrently with the rise in tech innovation, as the FinOps Foundation's recent survey found 75% of FinOps teams now report to CIO or CTO leadership. With FinOps supporting more business functions today, it is enabling teams to report higher value return-on-investment (ROI) metrics — a critical outcome as businesses continue to adopt new technology today.

In recent years, there has been a clear shift in what defines success, especially as innovations exit the hype cycle. Today, more and more leaders are measuring success through long-term business value. This mindset is helping organizations remain competitive and successful for years to come. In this new technology era, the true ROI is not simply about minimizing budgets — it's about sustained business value.

What's Next for Technology Management

FinOps did not outgrow cloud; it grew into technology value. With 160 or more vendors claiming to offer FinOps solutions, very few can address the expanded definition of FinOps. In the coming years, we'll see many of those who provide niche capabilities and partial visibility fall down. To ensure long-term success, companies require technology conversations that can prove unified data, consistent accountability and a shared understanding of tradeoffs across environments.

Looking forward, the FinOps Foundation's mission change only formalizes what leading organizations are already doing: leveraging FinOps to not just optimize cloud but now governing and maximizing the value of technology. As enterprises continue to foster a culture of innovation, managing across all technology environments will be a key enabler for success. Leaders, are you embracing the new age of FinOps? 

Jay Litkey is SVP of Cloud and FinOps at Flexera

Hot Topics

The Latest

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...