AWS

Ericsson’s latest Mobility Report points to a clear shift: operators are turning 5G capabilities into differentiated, SLA-backed services rather than just selling more data at higher speeds. After years of building coverage and capacity, 5G networks are mature enough to commercialize features like guaranteed latency, uplink boosts, and application-aware prioritization. The catalysts are in place: more 5G Standalone (SA) cores, rising traffic from video creation and immersive apps, and enterprise demand for predictable performance across sites and clouds. The net result is momentum behind premium, differentiated connectivity that can be priced, assured, and exposed to partners.
Jeff Bezos is stepping back into day-to-day operations as co-CEO of Project Prometheus, a new AI company reportedly funded with $6.2 billion to build “AI for the physical economy.” Project Prometheus will be co-led by Bezos and Vik Bajaj, an operator-scientist with leadership experience at Google X, Verily, and Foresite Labs. Early reports indicate the company is targeting engineering and manufacturing tasks across sectors such as aerospace, automotive, and computing hardware. Headcount is already near 100, drawing researchers from OpenAI, Google DeepMind, and Meta, signaling an aggressive push for top-tier AI talent.
Amazon has moved its low Earth orbit broadband effort out of code-name mode and into a market-facing brand with strategic implications for telecom and enterprise buyers. Project Kuiper is now Amazon Leo, a direct reference to the low Earth orbit constellation underpinning the service. The rebrand signals a transition from R&D to commercial execution. Amazon reports more than 150 satellites in orbit today—roughly 153 by recent counts—following a string of successful launches and a completed prototype mission. The company says it will light up service as it adds coverage and capacity.
October’s job-cut announcements surged, with AI and cost control reshaping staffing plans across technology and adjacent sectors. Planned layoffs spiked to roughly 153,000 in October, up more than 180% from September and about 175% from a year ago, according to the latest Challenger job-cuts tally. Year-to-date announcements for 2025 have crossed 1.09 million, the highest October-through-period since the pandemic shock of 2020 and above comparable 2009 levels. The cuts reflect a pivot from growth-at-any-cost to profitability, with AI rebalancing roles and budgets across the stack. Across reasons given, cost reduction led by a wide margin, and AI adoption was the second-largest driver, underscoring both macro pressure and structural transformation.
LG Uplus is working with AWS on agentic AI that automates installation of cloud‑native network software, with early claims of up to 80% faster turn‑ups versus manual methods. LG Uplus and AWS partnered to develop an AI-driven approach that installs complex network software stacks without human intervention. The system uses Amazon Bedrock alongside AWS’s Strands-Agents SDK to orchestrate multiple cooperating AI agents. These agents are pre-trained on network design and implementation documents so they can execute the full workflow - provisioning cloud infrastructure, collecting device and network parameters, generating configurations, performing installation, and troubleshooting.
OpenAI has signed a multi‑year, $38 billion capacity agreement with Amazon Web Services (AWS) to run and scale its core AI workloads on NVIDIA‑based infrastructure, signaling a decisive shift toward a multi‑cloud strategy and intensifying the hyperscaler battle for frontier AI. The agreement makes OpenAI a direct AWS customer for large‑scale compute, starting immediately on existing AWS data centers and expanding as new infrastructure comes online. AWS and OpenAI target the bulk of new capacity to be deployed by the end of 2026, with headroom to extend into 2027 and beyond.
At SK AI Summit 2025, CEO Jung Jaihun outlined plans to expand the Ulsan artificial intelligence data center (AIDC) to 1GW-class capacity, stand up a nationwide trio of hubs (Gasan in the Seoul metro, Ulsan in the south, and a new southwest site), and take the model into Southeast Asia starting with Vietnam. The operator is also deepening technology collaborations with Amazon Web Services (AWS) on Edge AI and with NVIDIA on AI-RAN and a Manufacturing AI Cloud; it intends to buy more than 2,000 NVIDIA RTX PRO 6000 Blackwell GPUs and scale Korea’s largest GPU cluster, Haein, as core compute for industrial AI workloads.
NEC is moving to scale its cloud and SaaS business support capabilities with a $2.9 billion acquisition of CSG Systems International, positioning Netcracker at the center of the combined telecom monetization play. CSG brings a sizable recurring-revenue portfolio in digital BSS, billing, charging, and customer engagement used by communications, cable, media, and digital service providers, complementing Netcracker’s OSS/BSS, orchestration, and service automation strengths. The all-cash deal values CSG at approximately $2.9 billion on an enterprise value basis and has unanimous board approval, with closing targeted for 2026 pending CSG shareholder approval and customary antitrust and other regulatory reviews.
MTN has launched StarEdge Horizon, a Layer 2 service over SpaceX’s Starlink designed to move enterprise traffic on a private path to MTN points of presence (PoPs), bypassing the public internet and reducing latency, jitter, and operational complexity. The service extends a private Layer 2 domain from remote sites over Starlink into MTN regional PoPs, where enterprises can centralize internet egress, security, and policy. QoS and segmentation protect prioritized traffic, while multi-link redundancy reduces site-level downtime risks. By bringing a private Layer 2 architecture to Starlink, MTN’s StarEdge Horizon turns LEO from best-effort internet into a controllable enterprise transport.
Qualcomm is moving from mobile NPUs into rack-scale AI infrastructure, positioning its AI200 (2026) and AI250 (2027) to challenge Nvidia/AMD on the economics of large-scale inference. The company is translating its Hexagon neural processing unit heritage—refined across phones and PCs—into data center accelerators tuned for inferencing, not training. AI200 and AI250 will ship in liquid-cooled, rack-scale configurations designed to operate as a single logical system. Qualcomm is leaning into that constraint with a redesigned memory subsystem and high-capacity cards supporting up to 768 GB of onboard memory—positioning that as a differentiator versus current GPU offerings.
A new partnership between Palantir and Lumen Technologies signals a shift from internal AI pilots to packaged enterprise services delivered over a telecom-grade edge and network footprint. Palantir will provide its Foundry and Artificial Intelligence Platform (AIP) as the data and decisioning layer for Lumen’s enterprise AI offerings, which Lumen plans to deliver on top of its edge computing nodes, broadband infrastructure, and managed digital services. The companies position this as a multi-year, strategic collaboration focused on operational AI use cases, not just experimentation. While exact terms were not disclosed, multiple reports indicate Lumen’s total spend could exceed $200 million over several years.
Netflix is expanding generative AI across recommendations, ads, and production workflows, signaling how big media will operationalize AI at scale without replacing human creativity. The company highlighted recent use in final footage, de-aging in a new film, and pre-visualization for set and wardrobe design. This is not about automating storytelling; it is about compressing timelines, lowering iteration costs, and enabling more variants for testing and localization. Expect AI to touch asset creation, trailer and thumbnail generation, dubbing and subtitling, quality control, and promotional creative — all tied to measurable uplift in engagement and ad yield.
Sponsored by Palo Alto Networks
⚡ Utilities ⏱ 8 min ✓ Free
This tool is built and hosted by TeckNexus.
Launch Tool →
Whitepaper
Neutral host, network slicing, and autonomous ground vehicles look like three unrelated topics — but they share the same hidden security risk. See what 100 airport deployments reveal about securing the components with the broadest reach across the network....
Whitepaper
Airports are deploying AI surveillance, biometrics, and autonomous vehicles faster than most networks can secure them. See what 100 real-world airport deployments reveal about the airside/landside security gap — and the 4-layer framework built to close it....
Scroll to Top