HPE's networking boss says AI will handle all trouble tickets without humans in two years

Your network trouble tickets will eventually be handled by AI, not humans.

HPE's networking business president, Rami Rahim, stated that AI will fully automate network trouble ticket resolution within two to three years. He indicated that current AI-assisted monitoring and automated remediation, known as AIOps, already handle 70-80% of tickets without human intervention. Rahim envisions a future where AI automatically orders replacement parts for hardware failures, requiring only an intern to physically install them, thus freeing up skilled network administrators. He drew parallels to the increasing trust in self-driving cars and automatic transmissions to explain why users will accept AI-driven network management. Rahim highlighted the common 'the Wi-Fi sucks' complaint as a prime example where AI can identify and fix issues faster than humans. He also emphasized the growing importance of reliable networks for an increasing number of AI agents, which he believes will outnumber human users and necessitate AI for network management. Rahim also commented on the successful integration of HPE's and Juniper's networking portfolios post-acquisition.

The assertion that AI will entirely replace humans in handling network trouble tickets signals a significant acceleration in AIOps adoption. This implies that IT departments will need to re-skill their human workforce towards higher-level strategic tasks rather than day-to-day problem-solving. The projected timeline suggests that network infrastructure management will become increasingly autonomous, potentially lowering operational costs but also demanding new skillsets for monitoring and overseeing AI systems.

This shift toward fully automated network operations, driven by the proliferation of AI agents, indicates a fundamental change in how organizations must approach IT infrastructure. The increasing complexity and scale of networks managed by agents will make human intervention impractical, pushing AI into a critical management role. Companies that do not embrace these AI-driven automation capabilities risk falling behind in operational efficiency and responsiveness.