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AI adoption marks a structural shift in enterprise infrastructure. As workloads distribute across clouds, data centers, and edge locations, network performance has emerged as the primary constraint on AI cost and scale—defined by bandwidth, latency, and programmability.


Lumen is positioned to lead this transition by combining one of the largest fiber networks in the U.S. with a rapidly scaling digital platform and connected ecosystem—enabling cloud-like economics with durable, low-cost growth.


Lumen is positioned to lead this transition by combining one of the largest fiber networks in the U.S. with a rapidly scaling digital platform and connected ecosystem—enabling cloud-like economics with durable, low-cost growth.

expected by 20292

tagged for AI infrastructure in 20263

to date supporting AI data center connectivity

up to 1 billion square feet by 20304

expected by 20292

tagged for AI infrastructure in 20263

to date supporting AI data center connectivity

up to 1 billion square feet by 20304

expected by 20292

tagged for AI infrastructure in 20263

to date supporting AI data center connectivity

up to 1 billion square feet by 20304

The defining AI performance metric for real-time AI and other advanced use cases—an emerging baseline requirement in the Cloud 2.0 era.
At roughly $2,000 per hour for a 64-node GPU cluster, slow data movement can add ~$420K in avoidable costs in a single AI workload by leaving high-value compute idle.5


Transferring 1 petabyte of training data takes 222 hours at 10 Gbps vs. 6 hours at 400 Gbps, dramatically reducing time spent waiting for data.5

The defining AI performance metric for real-time AI and other advanced use cases—an emerging baseline requirement in the Cloud 2.0 era.
At roughly $2,000 per hour for a 64-node GPU cluster, slow data movement can add ~$420K in avoidable costs in a single AI workload by leaving high-value compute idle.5


Transferring 1 petabyte of training data takes 222 hours at 10 Gbps vs. 6 hours at 400 Gbps, dramatically reducing time spent waiting for data.5

The defining AI performance metric for real-time AI and other advanced use cases—an emerging baseline requirement in the Cloud 2.0 era.

At roughly $2,000 per hour for a 64-node GPU cluster, slow data movement can add ~$420K in avoidable costs in a single AI workload by leaving high-value compute idle.5

Transferring 1 petabyte of training data takes 222 hours at 10 Gbps vs. 6 hours at 400 Gbps, dramatically reducing time spent waiting for data.5
Fiber footprint enables ≤5ms latency to approximately 95% of U.S. businesses, with 47M intercity fiber miles planned by 2028
Converts fiber into software-addressable services via APIs, automation and network-as-a-service (NaaS)
Extends our network through integrated partners, cloud providers, data centers and marketplaces.
Fiber footprint enables ≤5ms latency to approximately 95% of U.S. businesses, with 47M intercity fiber miles planned by 2028
Converts fiber into software-addressable services via APIs, automation and network-as-a-service (NaaS)
Extends our network through integrated partners, cloud providers, data centers and marketplaces.


In an era where first movers compound advantage, Lumen is transforming from a legacy telecom provider into a digital-first network services company—to become the backbone of the AI-powered enterprise.
See how Lumen is shaping the next era of enterprise networking and delivering on financial and strategic priorities.
1 IDC, Worldwide semiannual public cloud services tracker.
2 Gartner, Forecast analysis: GenAI spending in software (assumes 2023–2028 CAGR extends through 2030).
3SAP Capital IQ, Earnings calls.
4Baxtel and 4MC Partners, Analysis.
54MC Partners, Multi-source data prepared for Lumen analysis.
Services not available everywhere. Business customers only. Lumen may change, cancel or substitute products and services, or vary them by service area at its sole discretion, without notice.
©2026 Lumen Technologies. All Rights Reserved.