TM Forum

SoftBank and OpenAI have formed SB OAI Japan, a jointly owned entity that will commercialize “Crystal intelligence,” a bundled enterprise AI offering focused on management and operations in Japan. The venture will combine OpenAI’s enterprise-grade models and tooling with localization, integration, and support led by SoftBank in-market. Crystal intelligence is positioned as a turnkey solution that pairs model access with domain-specific implementation, governance, and support. SoftBank plans to deploy the solution across its own group companies, validate outcomes in production, and recycle those learnings back into SB OAI Japan’s offerings.
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.
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.
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.
Google Cloud’s 2025 ROI of AI study signals a step-change: AI agents are now in production at scale and delivering measurable business outcomes. The study, fielded with National Research Group across 24 countries, finds 52% of executives report their organizations already use AI agents—specialized models that can plan, reason, and take actions. Momentum is material: 39% say their company has launched more than ten agents. Executives also report faster delivery cycles, with over half moving use cases from idea to production within three to six months, up from last year. Generative AI investment continues to climb as technology costs fall.
Enterprise demand is shifting from project-based consulting to managed, outcome-driven operations infused with AI and data. By combining WNS’s scaled operations with Capgemini’s consulting, engineering, and cloud capabilities, the company aims to capture this demand with end-to-end, AI-enabled “run and transform” offerings. The deal expands Capgemini’s delivery footprint in India, strengthens its business services unit, and adds vertical platforms and playbooks that can be cross-sold to Capgemini’s installed base in North America and Europe. For WNS clients, it opens access to broader transformation capabilities—cloud, data, and engineering—while preserving managed services continuity.
India and the United Kingdom have launched the India–UK Connectivity and Innovation Centre to accelerate secure, AI-driven, and resilient telecom technologies over the next four years. The two governments committed an initial £24 million—roughly ₹250–₹282 crore depending on exchange rates—to fund applied research, joint testbeds, field trials, and standards contributions in emerging telecom domains. The investment concentrates on three pillars: AI in telecommunications, non-terrestrial networks (NTNs) for satellite and airborne connectivity, and telecoms cybersecurity with open, interoperable systems. The multi-year window aligns to the critical runway for 5G‑Advanced and early 6G experimentation.
Telecom Secretary Neeraj Mittal underscored that AI will be central to the next generation of networks, not an add-on. The direction aligns with industry momentum: 5G-Advanced is already introducing AI-enabled RAN and core features via 3GPP, while 6G initiatives under the ITU-R IMT-2030 framework envision AI-native control loops, sensing-assisted connectivity, and tight integration of compute and communications. India expects 6G trials to begin around 2028, with commercial deployments to follow. Operators that harden their AI and automation capabilities during 5G-Advanced will enter 6G with a competitive execution advantage.
The new AT&T IoT Marketplace turns complex IoT procurement and lifecycle management into a catalog-driven digital experience that aims to speed revenue and reduce operational friction for enterprises and partners. AT&T, working with Ericsson, introduced a digital eCommerce platform that unifies how IoT services are discovered, configured, contracted, provisioned, and billed. The Marketplace is powered by Ericsson’s Digital Experience Platform alongside its Catalogue Manager and Order Care components. AT&T reports it has cut the time it takes to order certain fleet management services from hours to minutes, an indicator of the step-change in operational efficiency the Marketplace is designed to deliver.
Nokia has introduced a fiber-to-the-home (FTTH) digital twin and AI-powered applications inside its Altiplano platform to give operators a unified view of active and passive assets and to improve reliability with faster, first-time fixes. The core launch centers on creating a digital twin of the FTTH network that stitches together live data from active elements (OLT/ONT, IP edge, customer premises equipment) with outside-plant passive infrastructure (ducts, cables, splitters) maintained in inventory and geospatial systems. Together, these tools target the highest-impact operational pain points: early anomaly detection, automated topology audits, faster root cause analysis, and improved first-time fix rates.
The AI value gap is widening—and it’s now a strategy problem, not a tooling problem. Fresh research shows a small cohort of “future-built” companies converting AI into material P&L impact while most firms lag despite sizable spend. BCG’s 2025 assessment of 1,250 senior executives finds only 5% of companies have the capabilities to consistently generate outsized AI value, with 35% scaling and beginning to see benefits, and a full 60% reporting little to no financial impact to date.

TeckNexus Newsletters

I acknowledge and agree to receive TeckNexus communications in line with the T&C and privacy policy

Tech News & Insight
Enterprises adopting private 5G, LTE, or CBRS networks need more than encryption to stay secure. This article explains the 4 pillars of private network security: core controls, device visibility, real-time threat detection, and orchestration. Learn how to protect SIM and device identities, isolate traffic, secure OT and IoT, and choose...

Sponsored by: OneLayer

     
Whitepaper
Telecom networks are facing unprecedented complexity with 5G, IoT, and cloud services. Traditional service assurance methods are becoming obsolete, making AI-driven, real-time analytics essential for competitive advantage. This independent industry whitepaper explores how DPUs, GPUs, and Generative AI (GenAI) are enabling predictive automation, reducing operational costs, and improving service quality....
Whitepaper
Explore how Generative AI is transforming telecom infrastructure by solving critical industry challenges like massive data management, network optimization, and personalized customer experiences. This whitepaper offers in-depth insights into AI and Gen AI's role in boosting operational efficiency while ensuring security and regulatory compliance. Telecom operators can harness these AI-driven...
Supermicro and Nvidia Logo
Scroll to Top

Feature Your Brand in Private Network Magazines

With Award-Winning Deployments & Industry Leaders
Sponsorship placements open until Nov 21, 2025