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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.
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.
A sprawling social engineering campaign tied to the Lapsus$/Scattered Spider/ShinyHunters ecosystem is extorting enterprises after allegedly siphoning close to a billion records from Salesforce customer environments. Attackers claim broad theft of personally identifiable information from organizations that use Salesforce, while the vendor states its core platform and code were not breached. Evidence points to identity-led social engineering, followed by misuse of sanctioned tools and APIs to quietly extract large data volumes. For telecom and enterprise IT, CRM data now sits on the front line of extortion economics, raising urgent questions about identity controls, SaaS hardening, and third-party risk.
Fujitsu is expanding its strategic collaboration with NVIDIA to deliver a full-stack AI infrastructure that pairs domain-specific AI agents with high-performance compute for enterprise and industrial use. The companies will co-develop an AI agent platform and a next-generation computing stack that tightly couples Fujitsu’s FUJITSU-MONAKA CPU series with NVIDIA GPUs using NVIDIA NVLink-Fusion. On the software side, Fujitsu plans to integrate its Kozuchi platform and AI workload orchestrator (built with Fujitsu AI computing broker technology) with the NVIDIA Dynamo platform.
AI is everywhere in telecom, yet most pilots never make it into production because the industry’s data, tooling, and operating models are not ready for scaled automation. Recent industry research suggests that about 95% of AI pilots in telecom fail to scale beyond proofs of concept. Leaders are moving from pilots to platforms by embedding AI in the systems that run the business and anchoring every initiative to measurable outcomes. Telecom AI will not scale through pilots alone; it scales when embedded in the systems that run revenue, experience, and networks.
AI now depends as much on the network and interconnection layer as it does on GPUs, and this blueprint turns that reality into a repeatable design. Training has concentrated in a few massive regions, while inference is exploding at the edge and in enterprise colocation sites, creating a scale challenge the industry hasn’t codified until now. Zayo and Equinix are proposing a common model that aligns high-capacity transport, neutral interconnection hubs, and specialized training and inference data centers. The aim is to shorten time to market for AI services by providing reference designs that reduce trial-and-error across L1–L3, interconnection, and traffic engineering.
Malaysia’s five mobile operators will federate a GSMA Open Gateway API to give banks and online retailers a consistent, cross-network tool to fight account takeovers and digital identity theft. CelcomDigi, Maxis, U Mobile, Telekom Malaysia, and YTL Communications plan to provide federated access to the GSMA Open Gateway Number Verification API, based on the CAMARA standard. The API verifies a user’s mobile number against real-time network attributes, offering a more secure, low-friction alternative to SMS one-time passwords. Network-anchored verification provides silent, possession-based authentication that reduces user friction and closes common OTP exploits. Developers can integrate once and reach all participating Malaysian networks while each operator retains control of data, policy, and monetization.
Databricks is adding OpenAI’s newest foundation models to its catalog for use via SQL or API, alongside previously introduced open-weight options gpt-oss 20B and 120B. Customers can now select, benchmark, and fine-tune OpenAI models directly where governed enterprise data already lives. The move raises the stakes in the race to make generative AI a first-class, governed workload inside data platforms rather than an external service tethered by integration and compliance gaps. For telecom and enterprise IT, it reduces friction for AI agents that must safely traverse customer, network, and operational data domains.
T-Mobile has set a clear handover plan that pairs continuity with a sharpened focus on digital, AI, and new growth vectors. Srini Gopalan, currently Chief Operating Officer, will become CEO of T-Mobile US, succeeding Mike Sievert. Sievert moves to a newly created Vice Chairman role, remaining on the management team and Board to advise on strategy, innovation, talent, and external relations. The structure signals operational continuity and a deliberate next phase for the Un-carrier playbook across wireless, broadband, and adjacent services. Expect Gopalan to intensify investments in AI across care, sales, and network operations.
New analysis from Bain & Company puts a stark number on AI’s economics: by 2030 the industry may face an $800 billion annual revenue shortfall against what it needs to fund compute growth. Bain estimates AI providers will require roughly $2 trillion in yearly revenue by 2030 to sustain data center capex, energy, and supply chain costs, yet current monetization trajectories leave a large gap. The report projects global incremental AI compute demand could reach 200 GW by 2030, colliding with grid interconnect queues, multiyear lead times for transformers, and rising energy prices.
Indonesia’s three leading mobile players – Telkomsel, Indosat Ooredoo Hutchison (IOH), and XLSMART -have formed a joint Telco API Alliance to standardize network-exposed APIs and harden the country’s digital ecosystem against fraud. The alliance commits all three operators to a common telco API protocol aligned with CAMARA, the open-source, Linux Foundation–hosted API project supported by the GSMA Open Gateway initiative. The initial roll-out centers on customer protection and fraud prevention—areas where network signals offer high value. SIM Swap detection flags recent SIM changes, a leading indicator of account takeover risk.
Digital Nasional Berhad (DNB) and Ericsson have launched a national upskilling program to train 40,000 municipal and government employees in 5G, AI, IoT and automation, signaling a shift from network build to service delivery readiness. Malaysia’s 5G footprint is expanding and the country is positioning for AI-led growth by 2030. Infrastructure alone will not unlock outcomes. Cities and agencies need people who can specify, procure, secure and operate digital services at scale. This initiative targets the execution gap by training frontline staff and policy makers on how to translate connectivity into citizen services, operational efficiency and data-driven decisions.
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