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The Inference Era Is Here — And Enterprises Can’t Ignore it

Training happens in centralized data centers. It’s compute-heavy and bandwidth-intensive, but latency isn’t critical. Inference happens everywhere — constantly, in real time. It’s where AI actually goes to work — making predictions, automating decisions, and driving user experiences across industries.

AI is shifting from training to inference — and that shift has major implications for enterprise infrastructure. This pivot makes metro fiber more important than ever. Read more.

The problem? Today’s networks weren’t built for AI at this scale. Legacy infrastructure is struggling to keep up with the sheer amount of data AI requires. If the infrastructure can’t keep up, businesses face downtime, rising costs, and missed opportunities 

More servers and more power aren’t enough to support the AI data center boom. To sustain AI’s rapid growth, and ensure enterprises can fully leverage it, we need to build more modern long-haul networks – faster, denser, and more resilient than ever before. These networks are the key to seamlessly transporting massive AI workloads between hyperscale data centers. As data centers expand and rack densities soar, networks must scale with them.

Poll:

AI gets the spotlight. But what part of making it work is still most misunderstood?

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Hot Take:

Alissa Clousing, Managing Director, Zayo Global Reach

The world’s economy doesn’t just run on oil anymore — it runs on fiber, and the arteries of global trade aren’t shipping lanes, they’re subsea cables.

Subsea cables, Waves, and DIA aren’t just plumbing, they’re the critical arteries of global trade, AI innovation, and real-time enterprise operations. Global bandwidth demand isn’t just growing — it’s accelerating into the unknown, and legacy procurement models aren’t built for the pace we’re heading into. The world’s hunger for bandwidth is accelerating so fast that even the most ambitious buildouts can’t predict just how much capacity we’ll need.
Read more.

AI Number of the Week:

$15.7

Trillion

That’s the projected economic impact of AI by 2030, according to PwC. Of that, $6.6T will come from productivity gains, and $9.1T from increased consumer demand.

The takeaway? AI isn’t just a tech trend — it’s a global economic shift. And the infrastructure decisions that are made today will determine who captures that value tomorrow.

What You Should Read:

Future Forecast:

Data Centers Without Fiber are Just a Giant Refrigerator

States across the U.S. are offering increasingly aggressive tax incentives to attract data centers — and it’s working. Billions of dollars in investment are flooding into regions offering exemptions on equipment, electricity, and property tax. But while the incentives race heats up, there’s one critical piece that often gets overlooked: the network. Read more.