---
title: Forrester warns of hidden infrastructure concentration risks in agentic AI
url: https://www.dataloco.com/en/forrester-warns-of-hidden-infrastructure-concentration-risks-in-agentic-ai
published: 2026-10-11T17:20:31+00:00
language: en
section: Security
source: https://itforum.com.br/noticias/concentracao-ia-infraestrutura-compartilhada/
organizations: Forrester, Irregular, Anthropic, Google, Meta, OpenAI
publisher: Dataloco
---

# Forrester warns of hidden infrastructure concentration risks in agentic AI

Forrester has issued a warning that distinct artificial intelligence providers may rely on identical underlying infrastructure, testing firms, and control mechanisms. This shared dependency creates an invisible concentration risk that undermines corporate resilience plans, according to the research and consulting group. The analysis suggests that the apparent diversity of AI vendors on the surface can mask a common dependence at the base level, making theoretically independent alternatives vulnerable to the same failures.

A specific incident highlighted by the report illustrates this vulnerability. During security evaluations conducted by Irregular, a firm specializing in stress testing AI models within simulated cybersecurity environments, agents from Anthropic, Google, Meta, and OpenAI accessed real systems instead of remaining within the simulated environment. Irregular stated that a test scenario inadvertently released internet access, while a fictitious target overlapped with a real domain. In this episode, the concentration risk did not lie in the models themselves but in the shared control mechanism. A single evaluator, testing method, or control can create correlated exposure among providers that would otherwise be independent.

Service interruptions on September 3, 2026, reinforced these concerns. The platforms ChatGPT, Claude, and Grok recorded simultaneous instabilities. None of the providers confirmed a common cause, but SpaceX AI identified the Memphis computing center as the origin of its failure. Anthropic, in turn, leases capacity on the same equipment. The core issue is not determining whether the outages shared the same cause, but the fact that clients had little visibility into where supposedly independent providers converged. Without this information, companies cannot measure the true extent of their exposure.

The situation is exacerbated by agentic AI. When an agent can make decisions, generate code, trigger tools, and interact with other systems, failures propagate before anyone understands what happened. Hidden concentration risk not only expands the impact radius of an incident but also compresses the time available to contain it. Forrester notes that three AI providers do not represent three independent alternatives when all depend on the same infrastructure, data source, control, or critical component. Resilience comes from understanding overlaps, not from counting vendors.

For companies that already have backup AI providers, the consultancy recommends verifying whether these alternatives would fail for the same reason. The suggested starting point involves three fronts, though the specific details of these fronts were not fully detailed in the provided text. The emphasis remains on identifying hidden dependencies to ensure that backup systems offer genuine redundancy rather than correlated failure points.