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The AI opportunity heads to the edge
agentic-ai

The AI opportunity heads to the edge

AI is shifting from data centers to edge AI agents, creating huge opportunities for carriers with 5G-enabled 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 Carriers’ Future

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)

Understanding AI and 5G Integration

Q: What is the primary benefit of 5G for AI at the edge? A: 5G's low latency, high bandwidth, and network slicing capabilities are crucial for enabling the real-time inference required by agentic AI at the network edge. Q: How does the transition to agentic AI at the edge compare to past technological shifts? A: It's similar to the shift from mainframes to client-server computing in the 1980s, which required significant network upgrades at the periphery to support new applications and industries, such as LANs.

Carrier and Service Provider Role in the AI Revolution

Q: How can carriers and service providers participate in the AI revolution? A: By focusing on their core strengths: upgrading and improving edge networks to provide the necessary infrastructure for ubiquitous agentic AI. Q: What are considered "terrible strategies" for service providers in the AI space? A: Building AI factories or solely focusing on enabling an ecosystem for AI-enabled consumer apps are generally considered poor strategies for service providers, unless they have a unique, established advantage.

The Future of the Digital Economy

Q: What is the broader economic impact of combining agentic AI with edge networks? A: This combination is expected to fuel a new global digital economy, making businesses and industries smarter, more efficient, and more sustainable.

Crypto Market AI's Take

The evolution of AI from centralized data centers to distributed edge networks signifies a fundamental shift in how intelligence is processed and deployed. This mirrors the trajectory of data and computation in the telecommunications sector, where the value has increasingly moved towards localized, intelligent processing. At Crypto Market AI, we see parallels between this network evolution and the advancements in decentralized finance (DeFi) and AI-powered trading. Just as 5G and edge AI are enabling new capabilities for carriers, AI agents are revolutionizing how we analyze and interact with the complex cryptocurrency markets. Our platform leverages these advancements to provide sophisticated AI-driven market intelligence and automated trading solutions, aiming to democratize access to advanced financial tools. You can explore more about how AI is transforming the cryptocurrency landscape and learn about our approach to AI-powered trading bots for strategic market engagement.

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