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The Enterprise Rush To AI Agents Is Already Breaking Infrastructure
The enterprise race to adopt autonomous AI agents is creating a significant IT infrastructure and security crisis, according to a new S&P Global report.
Key Points
- The enterprise race to adopt autonomous AI agents is creating a significant IT infrastructure and security crisis, according to a new S&P Global report.
- Nearly 60% of organizations are pursuing agent capabilities, driving a projected 500% increase in GPU shipments for 2025-2026.
- Unlike chatbots, agentic AI operates without direct human prompting, straining existing hardware and introducing new security risks from non-human identities.
The enterprise race to adopt autonomous AI agents is causing a massive IT infrastructure and security crisis, according to a new S&P Global report. Unlike chatbots, these systems act on their own, creating an unprecedented strain on hardware and forcing a fundamental rethink of corporate security.
Off the leash: Agentic AI operates without direct human prompting, initiating multiple actions at once. This break from “human pacing” means agentic systems consume vastly more IT capacity, creating unpredictable, resource-intensive workloads that current infrastructure wasn't built to handle.
The great GPU grab: The demand is explosive. The report reveals nearly 60% of organizations are pursuing agent capabilities, driving a staggering 500% increase in GPU shipment projections for 2025-2026 as companies scramble to secure hardware. Meanwhile, tech giants like Microsoft, ServiceNow, and Salesforce are fanning the flames by rolling out a flood of new agent-building platforms.
The price of admission: The fallout is already being felt, with CIOs now locked into planning their hardware needs half a decade out. Beyond the resource drain, these autonomous systems introduce novel security threats that demand new frameworks for managing non-human identities. The S&P Global report warns that solving these hardware and security problems is no longer just a competitive edge—it's the cost of admission.
An organization's ability to secure the necessary infrastructure and expertise for agentic AI is quickly becoming a key competitive differentiator, separating the leaders from those left behind in the next wave of technological change.
In other news, the AI gold rush is prompting a surge in S&P 500 companies publicly disclosing AI as a material risk. Despite the hype, many IT leaders remain wary of fully autonomous systems, citing a lack of trust and governance. Elsewhere, agentic AI is already being deployed in sectors like healthcare and manufacturing to reshape workflows and improve efficiency.
