
"The deepest IT management layers are also the most dangerous. The infrastructure players focused on them are just as eager to reap the benefits from agentic AI as any other vendor. More advanced, self-policing automation also brings yet another abstraction layer, additional room for error, and a potential shake-up of the job description for IT engineers industry-wide."
"To be clear, we're not referring to an IT infrastructure for running AI. Instead, the focus here is on AI inside IT infrastructures, affecting the core systems themselves rather than merely being enabled by them. This deployment, largely in its infancy, is really an extension of the high degree of automation already happening inside systems successfully."
"Routine, monotonous operational workloads generally occur underneath proprietary cloud architectures, Terraform IaC scripts or other pre-built tooling. Resource provisioning, automatic scaling, log analysis, anomaly detection - much of it has been realized without the aid of generative AI or agentic workflows."
"The question is: how do we build an enterprise that thinks and scales autonomously? says Rick Spencer, General Manager of Engineering at SUSE. So this is what we call agent-assisted infrastructu"
Deep IT management layers are becoming more automated and potentially more risky as infrastructure vendors adopt agentic AI. The focus is on AI operating within core IT systems rather than infrastructure built to run AI workloads. Much routine automation already exists through proprietary cloud architectures, Terraform IaC, and tooling for provisioning, scaling, log analysis, and anomaly detection. Agentic approaches add self-policing automation and an additional abstraction layer, increasing room for error and potentially reshaping IT engineers’ job descriptions. Infrastructure vendors aim to move beyond serving AI models and workloads toward enterprises that think and scale autonomously, with varying levels of ambition and caution among leading companies.
#agentic-ai #it-infrastructure-automation #autonomous-systems #infrastructure-management #it-engineering-roles
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