Automation is old school: The future belongs to self-driving networks

August 5, 2026 | Rami Rahim, Executive Vice President, President & General Manager, Networking, HPE

As today’s networks are expected to connect every user, device, application, agent, and workload, self-driving networks have become the operating model for the AI era

In this article

AI-driven driven business models are driving the need for agentic self-driving networks that continuously observe, learn, optimize, and heal themselves
To be truly self-driving, a network must be self-optimizing, self-healing and self-protecting across every user, device, workload, and location
Many networking vendors will claim to have an AI-powered network; the true test is efficacy, autonomy, and breadth - resulting in proven outcomes at scale

As AI reshapes the enterprise, networks are expected to connect and optimize everything from employee experiences and business applications to AI agents and inference workloads. The next challenge is not simply managing this complexity but operating it at a speed and scale beyond human capacity. That is why self-driving networks are becoming the new operating model for the AI era.

Unlike past networking models, a self-driving network does more than just automate tasks. It continuously observes, learns, optimizes, and heals itself. This enables IT teams to spend more time driving business outcomes and less time troubleshooting.

How much time? It’s estimated that IT teams currently spend up to 70-80% of their time configuring, troubleshooting, and firefighting rather than focusing on strategic initiatives. Self-driving networks dramatically reduce that burden.

A self-driving network is only valuable if it can be trusted.

Trust makes autonomy possible

Unsurprisingly, there is a lot of networking industry chatter about systems that offer AI agents and autonomous operations. But there's a critical reality that often gets overlooked:

A self-driving network is only valuable if it can be trusted. In other words, the real question isn't whether AI can generate recommendations. It's whether customers can trust it to independently turn recommendations into reality. Autonomy without accuracy creates risk. Autonomy with proven efficacy creates transformation.

This is where HPE is different. Our self-driving network is built on more than a decade of AI-native networking innovation and experience data. Our models have been continuously reinforced through real-world deployments and customer support interactions, creating a foundation of trust that others simply can’t replicate overnight.

The result is a self-driving network that can do more than advise. It can confidently identify root causes, make corrections, and continuously improve outcomes, which HPE is doing right now for hospitals, stores, schools, stadiums, offices, and factories throughout the world.

This trusted intelligence operates via an agentic mesh of autonomous agents, working in unison, to observe, reason, decide, execute, and learn across the network, without human intervention when possible.

Coupled with end-to-end visibility and assurance—from client devices to campus, branch, WAN, data center, cloud, applications, and security—our platform has the context necessary for making the right decisions and delivering exceptional user experiences at scale.

Built on a cloud-native microservices architecture, the platform delivers faster feature innovation, elastic scalability, and higher resilience. This enables new AI capabilities to be deployed continuously without downtime or disruption. In addition, a combination of custom and merchant silicon avoids a one-size-fits-all approach to hardware, delivering differentiated capabilities such as scale, telemetry, security, and automation, combined with speed of innovation and optimized economics.

Finally, to be truly self-driving, an AI-powered network must also be self-protecting. By integrating security directly into the network, HPE enables autonomous protection through continuous visibility, adaptive Zero Trust enforcement, and AI-driven threat response across every user, device, workload, and location.

To be truly self-driving, an AI-powered network must also be self-protecting.

Claims vs. reality

Every networking company will claim to have AI. Many will offer AI that advises. Far fewer have earned an enterprise the trust required to let AI act autonomously. That trust will define the leaders of the AI age.

In a future that belongs to self-driving networks, we believe HPE is uniquely positioned to deliver.

For more about the difference between AI-assisted networking and self-driving networks that are self-optimizing, self-healing, and self-protecting, check out the HPE Technology Now episode: Self-driving, intelligent, and built for AI.

For a more in-depth look, including real-world implementations across multiple industries, watch the HPE Discover 2026 spotlight session: The next generation of networking: From vision to self-driving reality. Or visit the self-driving network solutions website.