AI Is Shifting the Enterprise Network Bottleneck

Most enterprises are bracing for the wrong problem.

The fear is a bandwidth crunch: AI arrives, demand explodes, and companies scramble for capacity. But the purchasing data in Lightyear's 2026 State of Connectivity Report points to a less obvious shift. Bandwidth prices have been falling for decades, and high-capacity circuits have become more available. What’s getting harder is finding the power, colocation space, and route independence to use that capacity.

AI's network impact is real, but concentrated

AI changes network demand in three main ways: more throughput, lower latency, and more direct access to cloud and colocation. Those pressures are real, but they’re hitting a specific set of buyers first.

AI is changing networks most sharply for the companies building and serving the models: software, hardware, cloud, and AI-native firms. They’re adding 100G and 400G backbones, moving compute-heavy workloads into latency-optimized edge and colocation, and using direct cloud connections for workloads that stay public. Startups that once would have launched straight into AWS now ask about colocation and private backbones from the start.

That’s a real shift, but it’s not the whole market. Across most industries, bandwidth growth still looks steady. Average wireline bandwidth consumption is rising about 20% a year, roughly the same pace as before ChatGPT. The move out of public cloud predates the AI boom too, and usually has more to do with cost control than model training.

AI isn't a network purchase every company makes the same way. An AI infrastructure company may need to rethink its backbone this year; a law firm, hospital, or regional retailer mostly needs to keep benchmarking and right-sizing. The real question is whether AI has changed your traffic, your latency needs, or what an outage costs. If it hasn’t, you probably don’t need a redesign yet.

High-capacity circuits are getting cheaper and more available

If AI were straining the network layer for everyone, high-capacity transport would be getting scarce and expensive. The data points the other way.

400G is a good example. Not long ago, it was a specialized product. Now it’s a normal part of the market. In Zayo's 2025 Bandwidth Report, more than half of all wavelength capacity bought over the prior year came through 400G waves. AI workloads, hyperscale buildouts, and 5G backhaul pushed 400G into broader availability, and pricing has come down as it spread. The quote data behind it shows the same thing: a 100 Gbps wave between two data centers now comes in near what 10 Gbps dedicated internet access costs. Many carriers expect 800G to follow the same curve.

Producing capacity is the easy part now. The harder part is what has to exist around it: enough power to run it, and a path that’s actually independent.

The real scarcity moved into the building

Colocation is where AI's physical limits show up first. Hyperscalers are reserving entire facilities before they open, while most enterprises want a few racks or a cage with room to grow. Increasingly, they find themselves bidding for that space against tenants that wanted the whole building. Retail inventory has gotten scarce: vacancy in primary markets is under 2%, and the first delivery date a provider quotes is often in 2027.

That shortage is showing up in pricing. In the same data, all-in colo cost per kilowatt rose about 17% to 21% between the first and second halves of 2025, and rack rates in major hubs are up as much as 20% to 30% in a year. Renewals are especially exposed, since providers have little reason to protect a legacy rate when demand is this tight. Above a megawatt, volume discounts are harder to find because contiguous blocks of power are scarce. Demand that can’t fit in primary hubs like Northern Virginia is spilling into secondary markets such as Hillsboro, Oregon, and pushing prices up there as well.

The hard limit is power. A single AI rack can draw more than 50kW, enough to require liquid cooling and new electrical builds. So a colocation tenant in 2026 is not just paying for floor space. They’re paying for access to electricity, cooling, and a provider's ability to deliver both on time. That’s the part that will not loosen quickly. Data center buildings can go up faster than the grid capacity needed to run them.

That changes the planning order. Enterprises used to pick a site and then source the circuits. Now the circuit may be the easier part. The harder part is finding a facility that can support the deployment.

Network diversity is getting harder to verify

Less attention goes to a harder question: whether the path actually improves resilience or just recreates the same failure points. Take where a service terminates. A regional carrier may quote 400G and then backhaul it from a farther-away delivery point, adding latency or weakening the diversity the buyer thought they had. The order looks right on paper; the path underneath may not. So the real question is where the circuit terminates, which route it takes, and whether it’s independent of everything else you run.

Redundancy and diversity are not the same thing. Redundancy means having more than one path. Diversity means those paths do not share the same failure points, such as routes, carriers, buildings, or owners. Two circuits from two different providers are not diverse if they share the same physical path or depend on the same underlying network after a merger.

Carrier consolidation adds another reason to review network diversity regularly. The past two years brought a heavy run of telecom deals: AT&T acquired Lumen's mass-market fiber business, Verizon closed its acquisition of Frontier, Charter and Cox agreed to merge, and Zayo took Crown Castle's fiber, with Everstream, Allied Telecom, and Mitel all moving through Chapter 11. When providers merge, they often combine overlapping network assets, which can reduce the separation a customer originally relied on. Two circuits that once came from two different providers may no longer be fully independent, even if you are still paying two separate bills.

The aim is to remove the single points of failure that actually matter to the business, not to add backup links everywhere.

What network teams should verify

Before you treat capacity as solved, verify what's around it:

• High-capacity circuits: the real termination point, route, and latency, not just the speed on the order. A 400G handoff backhauled from far away isn't the circuit you think you bought.
• Diversity: that two providers actually mean two physical paths and two owners. Check the building entrance, riser, conduit, and who owns the underlying network after recent mergers.
• Colocation: power and cooling on your timeline, not just open floor space: kW per rack, cooling design, and the real delivery date.
• Bandwidth itself: whether AI actually changed your traffic, latency budget, or outage cost before assuming you need more.
  

The 2026 network problem isn’t more bandwidth

AI is driving real network demand, but not evenly. For most companies, bandwidth prices are still falling and high-capacity transport is more available than it was a few years ago. The pressure has moved to things that are harder to add quickly: power, cooling, colocation space, and route independence.

Bandwidth isn’t the hard part anymore. The hard part is housing it, powering it, and proving your backup path isn’t just the primary path under a different name.

Caroline Colwell leads Product Marketing at Lightyear, which publishes the annual State of Connectivity report on enterprise connectivity pricing and trends. Figures cited here are drawn from the 2026 edition.