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The AI opportunity heads to the edge
edge-computing

The AI opportunity heads to the edge

AI’s shift from data centers to edge AI agents creates huge opportunities for carriers, powered by 5G’s low-latency networks.

August 11, 2025
5 min read
Stephen M. Saunders MBE

The AI Opportunity Moves to the Edge: How 5G and Edge AI Agents Transform Networks

The AI revolution is entering a new phase — and that’s good news for carriers and service providers. Phase 1 of the global shift to AI focused on training large language models (LLMs) in giant data centers packed with expensive GPUs. In Phase 2, which is currently underway, the focus shifts to autonomous agentic AI agents installed at the network edge. As with so many “new” trends in communications, we’ve seen this before — back in the 1980s, with the transition from centralized mainframes to client-server computing. That shift prompted the need to increase network capacity at the periphery of the network from coaxial cables supporting a few hundred kilobits per second to twisted pair cables and protocols capable of megabit speeds, which in turn spawned a new and profitable local area network (LAN) industry.

The Need for Agentic AI Agents at the Edge of the Network to Draw Down Inference

And that, right there, is the solution to the existential question that service providers have been asking themselves for the last two-and-a-bit years: how do we get a piece of the AI revolution? (And, of course, it also finally answers another carrier question: “Why the heck do we need 5G?” Because only 5G, not 4G, can deliver the AI-native, cloud-native, network-sliced, low-latency network that inference requires). So, the answer for carriers is to stick to their knitting: upgrading and improving the edge networks providing the essential architecture in anticipation of ubiquitous agentic AI. Equally importantly, the new edge phase of AI also provides carriers with clarity on what not to do. Service providers have spent much of the last couple of years arguing internally over whether their future lies in building AI factories or enabling an ecosystem to launch an AI-enabled OTT-style consumer app. Those are terrible strategies (unless you had the foresight to see this whole AI trend coming a decade ago and start a new company with a strong, wide moat — like Vultr or Cerebras). This is a shift in the AI market that is bigger than AI itself — or carriers, or telecom, for that matter. The combination of agentic AI and inference-capable edge networks provides the infrastructure for a new global digital economy in which all businesses and industries become smarter, more efficient, and more sustainable. Carriers now have an essential role in building it.
Op-eds from industry experts, analysts or our editorial staff are opinion pieces that do not represent the opinions of Fierce Network.
Source: Originally published at Fierce Network on August 11, 2025.

Frequently Asked Questions (FAQ)

What is Phase 2 of the AI Revolution?

Phase 2 of the AI revolution focuses on the deployment of autonomous agentic AI agents at the network edge, shifting from the centralized training of LLMs in data centers.

Why is 5G crucial for edge AI inference?

5G is essential because it provides the AI-native, cloud-native, network-sliced, and low-latency network infrastructure required for efficient AI inference at the edge.

What is the core strategy for carriers in the AI revolution?

Carriers' core strategy should be to focus on upgrading and improving their edge networks, as this provides the essential architecture to support the widespread adoption of agentic AI.

What are detrimental strategies for service providers in the AI market?

Service providers should avoid strategies focused on building AI factories or solely enabling an AI-enabled consumer app ecosystem, as these are generally not as effective as focusing on core infrastructure.

How does agentic AI and edge networks contribute to the global economy?

The combination of agentic AI and inference-capable edge networks creates the infrastructure for a new global digital economy, enabling businesses across all industries to become more intelligent, efficient, and sustainable.

Crypto Market AI's Take

The evolution of AI from centralized data centers to the network edge, powered by 5G, signifies a critical shift in technological infrastructure. This move to the edge is particularly relevant to the cryptocurrency space, where real-time data processing and low-latency transactions are paramount. Our platform, Crypto Market AI, leverages similar principles by utilizing AI agents for sophisticated market analysis and trading strategies. The demand for efficient edge AI mirrors the need for decentralized and responsive systems in blockchain technology. As AI agents become more sophisticated and integrated into network infrastructure, they will undoubtedly play a larger role in how financial markets, including cryptocurrency, operate, offering enhanced insights and automated capabilities that were previously unattainable. This transition highlights the interconnectedness of network advancements and the burgeoning field of AI-driven financial services.

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