Equinix launches AI control plane to automate multi-cloud infrastructure

Equinix is turning network control into an AI product. On April 15, the company launched Fabric Intelligence, an AI-native operational layer designed to manage network infrastructure and automate how AI workloads connect across clouds, data centers and edge environments. Equinix said AI agents can autonomously manage networking environments, a sign that the competitive center of gravity is shifting from raw model capability to the systems that keep enterprise AI fast, secure and dependable.

That matters because the operational burden of AI is often bigger than the model layer itself. Equinix had already moved in that direction on March 11, when it introduced the Distributed AI Hub as a unified framework to connect, secure and simplify distributed AI ecosystems. The hub is powered by Fabric Intelligence and integrated with Palo Alto Networks for real-time threat detection for AI workloads. Equinix also says its fully programmable, AI-optimized network links more than 270 data centers across 77 markets, giving it the scale to pitch infrastructure control as a core part of enterprise AI deployment.

For monday.com, the story is not about networking hardware. It is about what enterprise customers now expect from the software layer sitting on top of all that plumbing. On March 11, monday.com announced dedicated agent onboarding and purpose-built infrastructure so external AI agents can access the platform and work alongside humans. The company said those agents operate under the same governance, security and permissions standards as human users, and that its AI respects existing permissions and regional data-residency policies. Administrators can also disable AI capabilities or monitor usage through AI governance controls.

That is the kind of detail that starts to matter in procurement conversations. When infrastructure vendors like Equinix frame AI as a control problem, not just a model problem, buyers have more reason to ask whether their work management platform can automate without creating new risk. For engineers and product managers at monday.com, the bar is no longer just whether an AI feature works. It is whether it works inside a messy, multi-cloud, policy-heavy enterprise environment without breaking trust or slowing workflows.

The business numbers show how quickly that expectation is becoming mainstream. monday.com says more than 250,000 customers worldwide use its platform. Revenue in the fourth quarter of 2025 was $333.9 million, up 25% year over year, while full-year revenue grew 27%. Customers with more than $50,000 in annual recurring revenue made up 41% of total ARR, and monday.com said it posted record net adds of customers with more than $100,000 in ARR. The company also said monday vibe was the fastest product in its history to top $1 million in ARR. In other words, the market is rewarding AI features, but it is increasingly rewarding the infrastructure and governance behind them even more.