Network X Americas: AT&T and Comcast reveal huge AI impact on network operations
Echoing a recent Cisco report, telecom leaders at the Network X Americas conference (held in Irving, TX last week) noted that AI is fundamentally shifting traffic patterns while having a very positive impact on network operations. With billions of connected sensors and devices (like autonomous vehicles generating 20GB of data per day), operators are forced to prioritize uplink capacity and low latency over traditional consumer downlink traffic.
AT&T’s network CTO, Yigal Elbaz, cited the robo-taxi as a bellwether for how AI is affecting network traffic. Each Waymo vehicle generates about 20 gigabytes of data per day, roughly 30 times the amount a typical mobile user consumes. Most of that traffic flows from the car to the cloud. “Every other week,” Elbaz noted, “a new flavor of a frontier AI model drops on us.”
“We already have about 700,000 changes on a daily basis in our network made by AI,” said Elbaz, noting that AT&T has built a proprietary foundation AI model because standard large language models (LLMs) don’t understand KPIs, network alarms or fiber deployment specifics. He cited a 20-25% cost reduction and 12-15% better results than general-purpose models.
In his keynote speech, Comcast EVP and Chief Network Officer Elad Nafshi described 200 edge compute centers capable of self-healing 77% of network events. He touted AI chipsets close enough to customers’ homes to pinpoint outside plant faults with 99.2% precision, and a partnership with Nvidia to push that edge platform further.
Nafshi highlighted the gap in network provider promises vs delivery with a hypothetical small-business use case example. A pizza shop operator, could materially change workflow and productivity if the service provider delivered an AI-enabled concierge—built on a task-optimized small language model—to manage order intake and customer interaction. In that scenario, the network evolves from a passive access pipe into an application-aware platform that augments business operations. The concept is credible from a technical standpoint, but remains largely theoretical until operators can effectively reach and educate SMB customers who still perceive connectivity as a fixed monthly expense.
Both AT&T and Comcast Israeli executives said this was more than modernization and discussed the changes in what a network does. The network is now a platform, not a pipe. Today’s network learns, adapts and increasingly acts on behalf of its customers. But I can’t help but wonder if the customers know… or if that network value will ever trickle down to the customers who need it most.
In a keynote panel session titled, ” Convergence in action – Competing, scaling and winning in the AI-driven connectivity market,” Josh Goodell, AT&T’s VP of Broadband and Converged Product Development, framed the company’s objective as becoming “the greatest simplifier of our customers’ lives” while instilling “connectivity confidence.” That positioning is notable for a sector that has historically under-communicated its value proposition beyond basic service metrics.
The broader industry narrative appears to be shifting. Historically, go-to-market strategies emphasized throughput benchmarks and promotional pricing. As Omdia’s Ruth Brown (panel session moderator) observed, packaging has been largely defensive, optimized around billing constructs rather than differentiated user experience. The emerging model instead centers on networks that operate contextually and autonomously—delivering value in ways that are largely invisible to the end user.
Derek Peterson, CTO of Boingo Wireless, articulated a parallel issue in venue networks, describing the “stadium problem.” Operators dimension infrastructure for peak ingress and then underutilize that capacity once users are inside the venue. The architectural question is no longer solely about capacity provisioning, but about service-layer innovation on top of that capacity. At Petco Park, Boingo leveraged existing network assets to enable pre-entry commerce, driving incremental revenue before fans pass through the gates. The infrastructure was not the constraint; the limiting factor was identifying and executing on higher-order use cases.
A similar disconnect persists in the industry’s framing of the digital divide. AT&T’s John Stankey and others have suggested the gap is nearing closure, citing expanded fiber footprints and fixed wireless access. While coverage metrics have improved, the divide has never been purely a function of infrastructure availability. Adoption is equally constrained by affordability and, critically, by perceived value. If connectivity continues to be positioned as a commoditized utility, the most economically vulnerable segments—those with the greatest need for digital enablement—remain the least likely to engage.
This is particularly relevant in an AI-driven economy. The users and small enterprises that could benefit most from intelligent, network-delivered services are often those least exposed to the evolving capabilities of the platform. The industry risks over-indexing on measurable deployment milestones while under-communicating the functional value of next-generation networks.
The Network X keynotes underscored that the technical roadmap is largely in place. Network operators are advancing toward networks capable of real-time traffic learning, proactive cybersecurity at the edge, and highly personalized in-home connectivity experiences. These capabilities represent a more compelling value proposition than traditional service tier comparisons.
However, the central challenge remains go-to-market execution. The industry has demonstrated that it can architect and deploy these capabilities at scale. It has yet to establish a clear, effective framework for articulating that value to end users and enterprises in a way that drives adoption.
As a final observation, the broader telecom ecosystem—illustrated by developments such as autonomous vehicle platforms—already depends on AI-enabled, highly distributed network intelligence. While the underlying infrastructure is incrementally aligning with these requirements, the industry dialogue around its broader economic and societal implications remains underdeveloped.
References:
Cisco report: Agentic AI to reshape WAN traffic, AI inference will be ~25% of total traffic by 2035
Will the wave of AI generated user-to/from-network traffic increase spectacularly as Cisco and Nokia predict?
Telecom operators investing in Agentic AI while Self Organizing Network AI market set for rapid growth
Analysis: Cisco, HPE/Juniper, and Nvidia network equipment for AI data centers
Cisco CEO sees great potential in AI data center connectivity, silicon, optics, and optical systems
The Financial Trap of Autonomous Networks: Scaling Agentic AI in the Telecom Core
Ericsson integrates Agentic AI into its NetCloud platform for self healing and autonomous 5G private networks
STL Partners webinar: Agentic AI needed for RAN autonomy & efficiency
Nokia to showcase agentic AI network slicing; Ericsson partners with Ookla to measure 5G network slicing performance
Agentic AI and the Future of Communications for Autonomous Vehicles (V2X)
Telecom data centers must be redesigned for the AI era with rack scale architectures, enhanced power & cooling requirements
Is the “far edge” a bridge to far to cross for AI inferencing? What about “Distributed AI Grids”?
T-Mobile US announces new broadband wireless and fiber targets, 5G-A with agentic AI and live voice call translation
Intel and AI chip startup SambaNova partner; SN50 AI inferencing chip max speed said to be 5X faster than competitive AI chips
CES 2025: Intel announces edge compute processors with AI inferencing capabilities
