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South Korea is funding a national AI stack to reduce dependence on foreign models, protect data, and tune AI to its language and industries. The government has committed โ‚ฉ530 billion (about $390 million) to five companies building large-scale foundation models: LG AI Research, SK Telecom, Naver Cloud, NC AI, and Upstage. Progress will be reviewed every six months, with underperformers cut and resources concentrated on the strongest until two leaders remain. The policy goal is clear: build world-class, Korean-first AI capability that supports national security, economic competitiveness, and data sovereignty. For telecoms and enterprise IT, this is a shift from โ€œconsume global modelsโ€ to โ€œoperate domestic AI platformsโ€ integrated with local data, compliance, and services.
Lumen is accelerating a multi-year, multi-billion-dollar expansion of its U.S. backbone to match the explosive rise of AI-driven traffic. The company plans to add 34 million new intercity fiber miles by the end of 2028, targeting a total of 47 million intercity fiber miles. In 2025, Lumen has already added more than 2.2 million intercity fiber miles across 2,500+ route miles, with a year-end target of 16.6 million intercity fiber miles. Network capacity grew by 5.9+ Pbps year-to-date, and Lumen earmarked more than $100 million to push 400Gbps connectivity across clouds, data centers, and metrosโ€”now covering over 100,000 route miles with 400G-enabled transport.
Gartnerโ€™s latest outlook points to global AI spend hitting roughly $1.5 trillion in 2025 and exceeding $2 trillion in 2026, signaling a multi-year investment cycle that will reshape infrastructure, devices, and networks. This is not a short-lived hype curve; it is a capital plan. Hyperscalers are pouring money into data centers built around AI-optimized servers and accelerators, while device makers push on-device AI into smartphones and PCs at scale. For telecom and enterprise IT leaders, the message is clear: capacity, latency, and data gravity will dictate where value lands. Spending is broad-based. AI services and software are growing fast, but the heavy lift is in hardware and cloud infrastructure.
SK Telecom has been named OpenAIโ€™s exclusive B2C partner among Korean carriers as OpenAI opens its Korea office, signaling an aggressive push to scale consumer AI access and localize go-to-market in a strategically important market. The two companies unveiled a promotion for ChatGPT Plus, giving new or returning subscribers who purchase one month two additional months at no cost. While the immediate focus is consumer-facing, SK Telecom indicates the partnership will extend toward business services and potential collaborations across the broader SK Group.
SpaceXโ€™s $17 billion purchase of EchoStar spectrum signals a deliberate push to blend satellite and mobile connectivity at consumer scale. SpaceX is acquiring EchoStarโ€™s AWS-4 and H-Block licenses, adding roughly 1.9โ€“2.0 GHz spectrum into its portfolio for direct-to-device (D2D) service in the U.S. Owning licensed spectrum lets SpaceX widen capabilities beyond roaming-style add-ons, potentially toward a branded service that spans home broadband and handset connectivity. A two-year window for first compatible handsets is a realistic baseline. Analysts broadly expect Starlink to expand via partnerships: wholesale arrangements to MNOs for satellite fallback, and potentially an MVNO to bring a Starlink-branded phone plan to market.
Lumen has introduced Wavelength RapidRoutes, a pre-engineered 100G/400G service with a 20-day delivery SLA aimed at removing months-long bottlenecks from enterprise and hyperscaler connectivity. The company is packaging pre-defined, high-demand optical paths as a catalog of ready-to-deploy waves, removing custom design cycles from many standard routes. Lumenโ€™s RapidRoutes offers 100G and up to 400G wavelength services on prioritized intercity routes with an industry-forward 20-day service delivery SLA, shifting the customer experience from quote-engineer-build to select-provision-activate on pre-engineered paths. A portal-enabled experience with AI-driven tools and more than 300 automated workflows underpins ordering, change management, and capacity scaling.
AI buildouts and multi-cloud scale are stressing data center interconnect, making high-capacity, on-demand metro connectivity a priority for enterprises. Training pipelines, retrieval-augmented generation, and model distribution are shifting traffic patterns from north-south to high-volume east-west across metro clusters of data centers and cloud on-ramps. This is the backdrop for Lumen Technologies push to deliver up to 400Gbps Ethernet and IP Services in more than 70 third-party, cloud on-ramp ready facilities across 16 U.S. metro markets. The draw is operational agility: bandwidth provisioning in minutes, scaling up to 400Gbps per service, and consumption-based pricing that aligns spend with variable AI and data movement spikes.
Palo Alto Networks PAN-OS 12.1 Orion steps into this gap with a quantum-ready roadmap, a unified multicloud security fabric, expanded AI-driven protections and a new generation of next-generation firewalls (NGFWs) designed for data centers, branches and industrial edge. The release also pushes management into a single operational plane via Strata Cloud Manager, targeting lower operating cost and faster incident response. PAN-OS 12.1 automatically discovers workloads, applications, AI assets and data flows across public cloud and hybrid environments to eliminate blind spots. It continuously assesses posture, flags misconfigurations and exposures in real time and deploys protections in one click across AWS, Azure and Google Cloud.
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.
Lumen surpassing 1,000 customers on its Network-as-a-Service platform is a clear marker for where enterprise networking is headed. AI adoption, multi-cloud architectures, and distributed applications are pushing organizations toward on-demand, software-driven connectivity. Lumens platform bundles three core service types under a single digital experience. The platform integrates with major hyperscalers, enabling direct paths to AWS, Microsoft Azure, and Google Cloud. All can be provisioned self-service, scaled up or down based on demand, and stitched to cloud regions and third-party data centers via cloud on-ramps.
OpenAI has confirmed its role in a $30 billion-per-year cloud infrastructure deal with Oracle, marking one of the largest cloud contracts in tech history. Part of the ambitious Stargate project, the deal aims to support OpenAIโ€™s growing demand for compute resources, with 4.5GW of capacity dedicated to training and deploying advanced AI models. The partnership positions Oracle as a major player in the AI cloud arms race while signaling OpenAIโ€™s shift toward vertically integrated infrastructure solutions.

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