Runaway AI training demand is pushing data center fabrics past their limits, making optical networking the bottleneck to unlock GPU-scale performance and efficiency. Scale-up connects more GPUs within a box or across tightly coupled racks to form supernodes with ultra-low-latency fabrics. A new forecast from Goldman Sachs positions optical networking as the next mega-trend in AI infrastructure, with spend growing an order of magnitude as clusters densify. CPO—integrating optical engines with switch ASICs or accelerators—features prominently in the growth outlook. Expect a technology mix that also includes pluggable 800G/1.6T optics and emerging Linear Pluggable Optics (LPO) to reduce DSP power at short reaches.
Across roughly 2,000 decision-makers in telecom, data center, and large enterprises, a strong majority doubts that existing infrastructure will keep up with AI’s next wave. In the US, most respondents expect network buildouts to lag AI investment and call out near-term priorities such as optimizing bidirectional data flows, expanding fiber capacity, enabling real-time training feedback, and placing low-latency compute closer to users. In Europe, most enterprise leaders say current networks are not ready for broad AI adoption; many already report latency, throughput, and resiliency pain as data demands rise. The common thread is clear: without accelerated modernization, networks risk becoming the bottleneck that constrains AI outcomes.
Nokia delivered a stronger-than-expected third quarter, with comparable operating profit reaching €435 million against consensus of about €342 million. Group net sales rose 12% to €4.83 billion, above forecasts, driven by Optical Networks and cloud-related demand tied to AI data centers. The stock jumped double digits intraday and added billions in market value, reflecting newfound confidence after a challenging first half. The recovery now is concentrated in network infrastructure rather than mobile RAN, underscoring where customers are actually spending to handle AI-era traffic patterns. Nokia nudged its full-year operating profit outlook to €1.7–2.2 billion, with a reporting change related to scaling down passive venture investments partly in play.
The telecom sector once hailed AI as a game-changer, but is it delivering? This article explores why many operators report low ROI on AI tools, and how legacy systems, cultural resistance, and regulatory hurdles stall adoption. Despite challenges, AI shows targeted promise in predictive maintenance, fraud detection, and 5G network slicing.
A new Ciena and Heavy Reading study signals that AI will become a primary source of metro and long-haul traffic within three years while most optical networks remain only partially prepared. AI training and inference are shifting from contained data center domains to distributed, edge-to-core workflows that stress transport capacity, latency, and automation end-to-end. Expectations are even higher for long-haul: 52% see AI surpassing 30% of traffic and 29% expect AI to account for more than half. Yet only 16% of respondents rate their optical networks as very ready for AI workloads, underscoring an execution gap that will shape capex priorities, service roadmaps, and partnership models through 2027.
Legacy broadband networks are struggling to meet today’s demands. Open architectures — modular, interoperable, and standards-based — are revolutionizing broadband by promoting flexibility, cost-efficiency, and faster innovation. Learn how service providers can leverage open broadband strategies to scale, improve customer experiences, and build resilient, future-proof infrastructures ready for the digital economy.
As networks grow more complex, traditional management models fall short. This article explores how AIOps (Artificial Intelligence for IT Operations) enables autonomous networks that self-configure, self-optimize, and self-heal. Learn how service providers can use AIOps frameworks to achieve predictive maintenance, dynamic resource management, enhanced customer experiences, and operational scalability to thrive in the era of 5G, IoT, and beyond.
The telecommunications industry is undergoing a transformative shift driven by the synergy of fiber optic cables and Generative Artificial Intelligence (GenAI). This powerful combination enhances network operations, providing high-speed, low-latency data transmission essential for AI models. As telcos like SK Telecom and TELUS integrate AI into their services, strategic investments in fiber infrastructure and AI expertise are crucial. Discover how this convergence is enabling network management, boosting efficiency, and setting the stage for future advancements in the telecom sector.
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