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E se l'AI avesse una traiettoria paragonabile a quella di Kubernetes? (una roba un po' tecnica da sapere prima, lo ammetto, però il concetto se leggete l'articolo viene fuori chiaro chiaro)
Money quote: "Once that happened, innovation moved to Kubernetes. Whatever the platform was missing, someone started building: networking, storage, observability, deployment tools, policy engines. A large number of startups were created, and legacy vendors joined in as well. Almost every component required to run Kubernetes in production became available as open source. Cloud providers and companies including Mesosphere/D2iQ, Rancher, Red Hat and Nutanix then built businesses around integration, enterprise features, support and operations.
Kubernetes did not win simply because its repository was public. It became a neutral substrate that engineers, cloud providers and enterprise vendors could all extend to fit their customers’ needs. Common interfaces and vendor-neutral governance gave everyone confidence that they could build on it.
The lesson I took away wasn’t that open source always wins. It was that once an open platform that people can customize becomes the industry’s center of gravity, no single vendor can match the combined rate of innovation around it.
I think AI is approaching the same point."
https://tobi.knaup.me/2026-07-25-open-weight-ai-is-having-its-kubernetes-moment/
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