CSPs Enter AI Infrastructure Race, Reinvent Operations

Forrester published a blog on May 15, 2026 by Principal Analyst Tom Mouhsian arguing that global AI adoption gives communication service providers (CSPs) a chance to transform. Forrester reports that dozens of well-known CSPs are entering the AI infrastructure race and are pushing artificial intelligence into their networks, engineering, IT, business, service, and marketing operations. The piece frames operator moves as an attempt to capture new growth after previously missed opportunities in OTT and cloud. Forrester says the report provides examples from operators across regions and highlights CSP advantages in connectivity, edge locations, and physical infrastructure.
What happened
Forrester published a blog post on May 15, 2026 by Principal Analyst Tom Mouhsian that examines how global AI adoption is creating opportunities for communication service providers (CSPs). According to Forrester, dozens of well-known CSPs are entering the AI infrastructure race and are "pushing artificial intelligence into its network, engineering, IT, business, service, and marketing operations." The post includes examples from operators in multiple regions and frames these moves as responses to prior missed opportunities during the rise of OTT and cloud services.
Editorial analysis - technical context
Companies undertaking comparable infrastructure moves in the past have typically leverage their existing assets, fiber, edge points of presence, central offices, and on-prem data centers, to host workloads that require low latency or high bandwidth. For practitioners, that pattern implies practical areas of focus: edge inference hosting, private 5G networks for closed-loop data capture, and colocated GPU racks or partner-hosted accelerators to reduce end-to-end latency for AI services.
Industry context
Industry observers note that CSPs long regarded connectivity as commoditized and that a shift toward hosting AI infrastructure is framed as an attempt to create differentiated, higher-value services. Forrester positions these developments as part of a broader competitive landscape in which traditional "picks-and-shovels" infrastructure vendors and hyperscalers already play major roles, and where operators hope to exploit unique physical and regulatory assets.
For practitioners, what to watch
Watch for public announcements of GPU or accelerator deployments at edge sites, commercial partnerships between operators and hyperscalers or model vendors, new low-latency SLA offers for enterprise AI, and carrier APIs exposing network context to applications. Also monitor regulatory and spectrum developments that could affect carrier ability to sell managed AI infrastructure. These indicators will clarify whether operator efforts focus on connectivity-first augmentation, platform hosting, or managed AI services.
Scoring Rationale
The report highlights a notable industry trend where CSPs pursue AI infrastructure roles, which matters to engineers and infrastructure planners but is not an immediate paradigm shift. The story is directly relevant to edge, networking, and deployment strategies.
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