Open source has undergone a profound transformation over the past few years. Once celebrated as a community-driven alternative to proprietary software, it has quietly become the operational backbone for artificial intelligence and cloud-native technologies. The romantic notion of developers contributing code purely out of goodwill is being replaced by a more pragmatic reality: open source is where companies like Red Hat, Microsoft, Google, and Nvidia compete to set the standards that everyone else must follow.
Control through code
The numbers tell the story. The Cloud Native Computing Foundation (CNCF) now hosts more than 230 projects with over 300,000 contributors worldwide. Its 2025 survey found that 98% of organizations have adopted cloud-native techniques, and 82% of container users run Kubernetes in production. GitHub's 2025 Octoverse report recorded 1.12 billion contributions, more than 180 million developers, and a record 518.7 million merged pull requests. Even the Apache Software Foundation, often seen as more traditional, reported 9,905 committers across 295 projects and issued 1,310 software releases in fiscal year 2025.
These figures indicate a shift in how open source is used. It is no longer a fringe alternative but the default layer for building and running modern applications. The center of gravity has moved from individual hobbyists to corporate engineering teams. In 2025, CNCF Devstats showed Red Hat leading all contribution activity with 194,699 contributions, followed by Microsoft with 107,645, and Google with 91,158. Independent contributors still ranked fourth with 52,404, a reminder that the community has not disappeared entirely, but the balance has tipped decisively toward large organizations.
This matters because it changes the motivations behind open source contributions. Too many observers still view them as acts of civic virtue. Too many open source program offices try to convince their engineers to contribute because it is the right thing to do, hoping the efforts will ingratiate the company into some nebulous community. In reality, open source has become a strategic battleground where vendors aim to set defaults, normalize interfaces, and shape the operational assumptions that everyone else must live with. It is less about openness for its own sake and more about control — not proprietary control, but control over the layers where ecosystems harden into standards. The companies investing upstream are not doing it because they have discovered altruism. They do it because whoever shapes the substrate usually gains leverage over everything built on top of it.
Who gives, and why?
Take Red Hat. Its position as the top CNCF contributor is no accident. Red Hat's OpenShift is a Kubernetes-centric application platform, so the company naturally pours effort into the Kubernetes ecosystem. That is not community service; it is product strategy. Red Hat has long exercised influence through code, and Kubernetes is too important for any serious infrastructure company to ignore. The company's contributions help ensure that the platform evolves in ways that align with its commercial interests.
Microsoft's rise to second place is even more revealing. Once perceived as hostile to open source, the company now invests heavily in projects like OpenTelemetry, which has become one of the fastest-rising CNCF projects with a 39% increase in commits in 2025 and a contributor base growing from 1,301 to 1,756 individuals. The motivation is not charity but a land grab around observability standards. Microsoft, Splunk, and other top contributors are all helping themselves by shaping the tools and protocols that define how systems are monitored and debugged.
Cilium provides another example. This project sits at the intersection of networking, observability, and security — exactly the categories that become mission-critical when workloads are distributed, latency-sensitive, and expensive. After joining CNCF, the number of contributing companies rose 90% from 533 to 1,011, and individual contributors jumped from 1,269 to 4,464. Google, Datadog, and Cloudflare all expanded their contributions as the project matured. AI may drive headlines, but the real strategic work often happens in projects like Cilium, where the infrastructure determines whether AI workloads are governable, visible, and efficient.
Nvidia's involvement underscores the trend. With enormous financial resources, Nvidia could simply buy its way into any technology stack. Instead, it ranked 14th in Kubernetes contributions over the past two years, with 5,892 contributions. It has also open-sourced KAI Scheduler, a Kubernetes-native GPU scheduler from Run:ai, and describes itself as a key contributor to Kubeflow. Nvidia is not just selling chips; it is investing in the scheduling, orchestration, and workflow layers that determine how effectively those chips are used in real-world AI systems. And it does so through developer communities rather than lump-sum cash payouts.
An essential supporting actor
The Nvidia work signals where open source is heading in the AI era. CNCF reports that 66% of organizations hosting generative AI models now use Kubernetes for some or all inference workloads, explicitly calling Kubernetes the de facto operating system for AI. While this claim naturally serves the foundation's interests, it reflects a genuine trend: Kubernetes and Kubeflow are increasingly central to training and inference systems. AI is making open infrastructure more important because few organizations want to build their future on opaque, inescapable infrastructure they cannot inspect or influence.
So is open source increasing in importance? Absolutely, but not in the warm, nostalgic way some still imagine. It is becoming less romantic and more essential. The old story of open source as a fringe alternative or a developer-led morality play was never entirely accurate, and it is not remotely credible now. Open source is where the cloud-native stack gets standardized, where observability gets normalized, where platform engineering gets productized, and where AI infrastructure is increasingly being built. The companies that understand this are investing accordingly, not because they believe in the abstract ideal of openness, but because they recognize that control over infrastructure translates into competitive advantage in an AI-driven world.
Source: InfoWorld News