Artificial Intelligence Monthly Insights

Bell Canada will start building a large-scale AI data centre near Regina, Saskatchewan this spring, in partnership with the Saskatchewan government and George Gordon First Nation, with a reported ~$1.7 billion investment and positioning as the largest AI facility in Canada.

Korea's three mobile carriers plan to use AI-driven traffic prediction and real-time optimization to manage anticipated heavy 4G/5G network load around Gwanghwamun during a BTS performance, likely involving temporary capacity tuning and congestion control.

Deutsche Telekom announced BMW as a customer for its Magenta Secure Fabric network-as-a-service platform, signaling a push into managed, secure enterprise networking.

Nebius entered multi-year agreements to supply AI computing capacity to Meta across multiple locations, with total value up to $27 billion over five years, per Reuters.

C-DOT announced its indigenous AI-driven fraud detection platform 'FraudPro' was selected as a top finalist, leveraging AI analytics to combat telecom fraud and support secure digital infrastructure and trusted connectivity.

MTN reported 2025 results covering revenue and subscriber trends, capex investment levels, and opex efficiency initiatives, and underscored continued expansion of its mobile financial services platform as a key growth engine.

SynaXG and Highway 9 Networks introduced an AI-RAN solution leveraging NVIDIA AI Aerial to enable AI-driven RAN capabilities for operators and enterprises.

Comcast is conducting a field trial integrating Nvidia technology into edge locations to form an 'AI grid,' indicating deployment of GPU-accelerated compute at the network edge for AI workloads.

SoftBank Corp. introduced a synthetic data generation pipeline leveraging NVIDIA NeMo Safe Synthesizer with Differential Privacy to protect confidential network operations data while maintaining data utility for training its telecom-focused generative AI foundation model (LTM).

SoftBank detailed an AI-RAN strategy centered on its AITRAS Orchestrator (with the open-sourced Dynamic Scoring Framework), ran a joint PoC with Ericsson to optimize low-latency, high-reliability connectivity for robots, is deploying AITRAS in edge data centers with Mitsubishi Heavy Industries for secure industrial AI inference, and joined the Linux Foundation’s OCUDU initiative while aligning with vendors like Ericsson and Nokia to promote an open, distributed AI ecosystem.

Orange is integrating AI as a core pillar of its corporate strategy and is extending an AI-enabled product within its 'Max it' app to a broader market.

SK Telecom plans to work with sister company SK Hynix to mitigate AI memory bottlenecks, leveraging SK Hynix’s Gaia generative AI platform optimized for memory efficiency, with deployment targeted for 2026.

The headline indicates MaxLinear is emphasizing connectivity solutions aligned to AI infrastructure for cloud and telecom, but the source text provides no technical details, products, or partnerships.

Intel is presenting its Xeon 6 CPU family as the compute foundation for AI-enabled telecom infrastructure, targeting network workloads and AI inference across telco edge and core environments on a global basis.

Superloop is advancing an AI-driven billing system initiative while operating two customer-facing agentic AI assistants (Teddy and Mo) and integrating automated self-service diagnostic tools. No vendor platforms or infrastructure details were disclosed.

SynaXG integrated Eridan’s Ultra-Clean Signal radios with its full-stack L1/L2/L3 CU/DU software across CPU and GPU architectures, validated for peak throughput and stable RF under concurrent AI and 5G workloads with dynamic GPU reallocation. At MWC Barcelona, the joint demo shows FR1 and FR2 radios operating alongside AI applications on shared GPU infrastructure under real-time multi-service orchestration.

Broadcom announced VMware Telco Cloud Platform 9, targeting deployment of 5G network workloads alongside AI workloads for communications service providers on the VMware telco cloud stack.

ServiceNow is extending its AI-driven capabilities to target government and telecom sectors, indicating broader sector-specific adoption of its AI offerings.

At MWC 2026, SDMC outlined its AI Home '1+2+X' strategy and introduced an AI-native tri-band Wi‑Fi 8/10G fiber gateway with an integrated AI NPU for traffic classification and dynamic spectrum management, plus Wi‑Fi Sensing for presence detection and prplOS-based remote lifecycle/OTA management. SDMC is moving its 'Cedar' Home AI Agent from cloud to edge to enable local inference for self-optimizing network operations and offline voice-based customer assistance, reducing latency and cloud dependence. The roadmap includes AI Station and AI NAS Frame to expand edge intelligence across connected home devices via operator partnerships.

Wind River and Vodafone conducted tests of AI-driven RAN automation aimed at simplifying Open RAN operations; the same source also references NTT DATA and Ericsson efforts to industrialize private 5G and edge AI.

At MWC Barcelona 2026, Huawei and Bittel introduced the Xinghe AI SafeStay hotel campus network using Huawei AirEngine Wi‑Fi 7 APs to deliver Wi‑Fi 7 coverage and dual 10 Gbps wired/wireless access, with AP-based spatial sensing for temperature control (claiming 20% energy savings), 24/7 security, and plug‑and‑play deployment that avoids additional infrared/mmWave sensors.

Huawei asserts that telecom networks must evolve—introducing AI-era service assurance metrics and architectures—to support massive-scale AI agents alongside 5G networks.

Singtel partnered with Cohesity to introduce a sovereign data service aimed at fault-tolerant, highly secure AI adoption for enterprises and government agencies, anchored in-country for data residency and compliance.

Grameenphone is partnering with ZTE to develop autonomous network operations using large language models (LLMs) and agentic AI, employing an A2A-T protocol to enable closed-loop automation and multi-agent coordination.

Sinch introduced Voice Relay (early access) within its Enterprise Voice platform to bridge text-based AI agents with live calls, handling ASR, TTS, interruption management, and low-latency media. The release adds AI-ready voice infrastructure, branded calling protection, and expanded global network capabilities; no technical specifications or pricing were disclosed.

SoftBank introduced a Telco AI Cloud architecture that integrates large-scale GPU data centers with edge-deployed AI-RAN to align centralized AI compute with distributed radio access processing.

Google Cloud outlined its 2026 'agentic telco' roadmap, integrating Gemini-driven autonomous agents across network operations to detect anomalies, trigger workflows, and remediate faults with minimal human intervention. It reported measurable outcomes with carriers (e.g., a 25% drop in complaints at Bell Canada and a 95% reduction in network management event times with Deutsche Telekom’s RAN Guardian), is expanding its autonomous network framework with Vodafone, and launched a GraphML-based AIOps pilot with MasOrange and NetAI using digital twins and graph neural networks.

SoftBank Corp. integrated a coordinated multi-agent system into its Large Telecom Model (LTM) and started verification in base station integration to automate analysis, decision-making, and execution in network operations.

SK Telecom is piloting an agentic AI system built on its small language model to manage factory rail systems within SK Group, targeting elimination of equipment downtime and advancing toward autonomous manufacturing.

NETSCOUT is aligning its telecom portfolio to deliver AI-ready network data and observability pipelines for service providers, enabling analytics, automation, and ML-driven operations.

T-Mobile and Qualcomm will run pre-commercial 6G trials and standards work spanning advanced connectivity (wider bandwidths, Giga-MIMO, new waveforms/coding, multi-device paradigms), integrated radio-based sensing with multimodal fusion, and energy-efficient high-performance compute in virtualized RAN/AI environments. The program aims to validate AI-native 6G capabilities at scale on T-Mobile’s U.S. network, aligning with a 2029 commercialization target while continuing 5G Advanced deployments.

Light Reading reports that the CEO of Jio Platforms is committing Reliance Jio to compete aggressively in AI while referencing Jio’s rapid scale-up since its 4G launch; no concrete AI technology, deployment details, or partners are specified.

MWC 2026 discourse emphasized agentic AI progressing toward autonomous networks, marking a shift from MWC 2025's focus on outcome-based automation.

Light Reading reports that Ericsson and Nokia are taking notably different approaches to applying AI in the RAN, with operator voices (including BT and Verizon) highlighting AI’s role in network operations. The divergence signals contrasting product and deployment strategies for AI-enabled RAN features.

At MWC Barcelona 2026, Ericsson showcased AI-native 6G building blocks and interoperability work with device, silicon, and compute partners, progressing from 5G Standalone/5G Advanced toward an 'intelligent fabric' with AI embedded across radios (via Ericsson Silicon), RAN compute, transport, OSS/BSS, and the core. The company highlighted collaboration with Intel to accelerate AI-driven RAN and packet core use cases and platform security, and participation in the Linux Foundation's OCUDU initiative. The activities align with 3GPP’s first implementable 6G specifications targeted for 2029 and emphasize enhanced uplink and energy efficiency to support GenAI, agentic AI, and physical AI applications.

At Nvidia GTC, T-Mobile and Nvidia outlined plans to deliver 'physical AI' workloads at telco edge locations (e.g., radio towers, central offices), leveraging T-Mobile’s network footprint to host low-latency AI inference close to users and data sources.

Microsoft highlighted the use of cloud-based agentic AI to compress Vodafone’s B2B cycle, indicating deployment of AI agents on Azure to streamline enterprise sales and service processes; references to AT&T, T-Mobile, and Telefónica suggest broader operator interest.

At MWC 2026, IDC's VP for data and analytics stated that Chinese vendors are extending AI from software into hardware (e.g., AI-enabled devices such as "robot phones"), with generative AI and context-aware automation entering smartphones and smart devices; AI is also moving into communications infrastructure and enterprise workflows, with computing power networks seen as enablers for new monetization models; China’s supply chain depth, talent base, and rapid consumer adoption underpin this trajectory despite external restrictions.

Asian Business Review reports that 6G is being framed as foundational infrastructure for the AI economy, with generative AI use cases already increasing network traffic. The piece offers a macro view without citing specific vendors, spectrum bands, or deployments.

Keysight collaborated with Samsung and NVIDIA to demonstrate an automated end-to-end AI-RAN validation workflow for PUSCH channel estimation, integrating the Keysight AI-RAN Simulation Toolset with the NVIDIA Aerial Testbed (GH200, DGX Spark), NVIDIA Aerial Omniverse Digital Twin, and Analog Devices’ Titan O-RU to unify data generation, AI/ML training, and benchmarking in a single environment.

SiliconANGLE analyzes discussions at MWC Barcelona on how AI could intersect with 6G to address persistent telco monetization challenges, without detailing specific vendors, deployments, or spectrum moves.

KPMG published an analyst perspective outlining how telecom is shifting from pure connectivity toward intelligence-driven models, with emphasis on AI-enabled services, software-centric networks, and new monetization approaches. The piece appears to be a thought-leadership overview rather than a specific product or partnership announcement.

At MWC 2026, discussion focused on selecting optimal hardware for executing AI workloads in telecom networks and determining where those workloads should run, reflecting operator priorities around performance, cost, and power efficiency.

TIM’s CEO advocated viewing telecom networks, cloud infrastructure, and AI platforms as an integrated digital stack, highlighting implications for service assurance and operational alignment across the ecosystem.

IFS highlights industry trends for telecom operators, emphasizing adoption of agentic AI, alignment to sustainability mandates through energy KPIs, and deployment of edge-native infrastructure to support AI-enabled operations.

Pipeline Magazine publishes an analysis highlighting how agentic and generative AI can enhance enterprise telecom customer experience by improving decision-making and execution, with an emphasis on cloud-delivered intelligence.

Pipeline Magazine outlines how AI should be embedded into CSP customer and business operations, emphasizing sales process orchestration integrity and AI-driven customer experience to improve telecom sales effectiveness.

EY reports that enterprises rank security as the leading criterion when selecting telecommunications and technology providers.

AI News analyzes the cost dynamics of multi-agent AI for enterprise automation, highlighting the 'thinking tax' and the expense of relying on massive models for each subtask, with implications for model orchestration and hardware selection.

TPG Telecom is upgrading its Service Operations Centre with AIOps capabilities by integrating Splunk IT Service Intelligence and Cisco AIOps tooling to improve observability, event correlation, and incident response across network and IT services in Australia.

VoIP Review reports on an 'Open Telco AI' collaboration theme, noting that only 16% of telecom GenAI implementations currently touch network operations and calling for cross-industry coordination to operationalize GenAI beyond customer-facing use cases.

NCTA reports that discussions at MWC 2026 emphasized AI’s role in reshaping RAN architecture and improving network operations, indicating broader telecom sector movement toward AI-driven network optimization.

SK Telecom signaled intent to take its sovereign AI approach to external markets, positioning offerings related to customer experience and agentic AI concepts for deployment beyond its home country.

Mobileum is advancing offerings focused on monetizing roaming intelligence and deploying AI-driven network testing and analytics for operators.

SK Telecom is investing in AI data centers and launching sovereign AI models for Korean enterprises while scaling 5G and private networks, aiming to lift ARPU and expand B2B revenues.

Nokia is positioning as a core provider for AI-enabled industrial automation and 5G infrastructure, drawing increased investor interest; no concrete technology platforms, spectrum bands, or deployment specifics were disclosed.

AT&T outlined a $250B program through 2030 focused on fiber buildout, 5G, resilience, public safety, workforce development, and AI-era infrastructure, targeting >60M fiber endpoints (36M today) and installing ~3,300 miles of fiber per month, while using AI to support technicians, optimize fiber deployment, and assist cell-site planning.

NASSCOM published guidance debunking seven common myths around agentic AI, framing practical capabilities, adoption constraints, and alignment with enterprise digital transformation and GenAI programs.

Cisco announced the Cisco AI Grid with NVIDIA, a full-stack reference architecture integrated with the Cisco Mobility Services Platform to deliver real-time AI inferencing across distributed service-provider networks. AT&T is identified as the first operator to bring these capabilities to market, with initial focus on wireless access and expansion to heterogeneous access technologies.

NVIDIA and T-Mobile are working with Nokia and a developer ecosystem to integrate GPUs into radio access network sites to support connectivity functions, local AI inference, and interaction with physical systems.

AI-RAN places AI processing within cellular network elements (particularly the RAN/edge), with participation from Nvidia, Nokia, Ericsson, and Intel to align telecom infrastructure with 6G-oriented AI execution.

Indosat and Safaricom agreed to collaborate on exchanging AI practices and lessons learned across telecom operations and networks. No technical platforms, deployment models, or timelines were disclosed.

AGIBOT signed its first overseas telecom partnership with Singtel and deployed service robots at Singapore’s Changi Airport Terminal 5.

Indosat Ooredoo Hutchison and Safaricom formed a partnership to apply AI across telco operations and digital financial services, including predictive care for network issues, AI-driven customer engagement (product recommendations, conversational support), AI-based fraud/risk management, payment reliability improvements during peak loads, and AI-informed Smart CAPEX planning; the collaboration also includes joint leadership and AI skills development. No financials, timelines, vendors, or shared platforms were disclosed.

MTN expanded its collaboration with Huawei to roll out AI-driven network operations and fixed wireless access solutions across African markets.

AT&T CEO John Stankey indicated the operator is capturing tangible operational efficiencies from AI, moving beyond pilots to production use across its operations.

Huawei leadership outlined a shift from API-based control to service-based intent interaction, positioning agent-driven AI to translate service needs into automated network behavior.

TelecomTV hosted a discussion with Nokia and NVIDIA on AI-RAN and AI-native network design from 5G-Advanced toward 6G, focusing on applying AI to RAN control and efficiency at the network edge. The session emphasized how operators could utilize AI for performance optimization and energy savings using vendor platforms.

e& UAE and Khalifa University released a joint white paper in Abu Dhabi outlining AI-centric approaches for future 6G network architecture and operations.

DriveNets’ Dudy Cohen discusses communications service providers moving toward GPU-as-a-Service models to support AI/GenAI workloads, as featured in The Fast Mode’s MWC Candid Reels.

Deutsche Telekom highlights Greece as a key location for AI-augmented 5G network initiatives, with leadership indicating the next phase is embedding AI directly into telecom networks to optimize operations and performance.

An AWS technologist outlines a 6G vision where agentic AI and non-terrestrial network (NTN) integration drive telco value creation; AWS's Telco AI Platform includes jointly building a core large language model to develop AI agents for telco domains.

At MWC26, Amdocs (via executive Raman Abrol) outlined that telecom is moving from AI hype to practical deployments and framed a vision for "agentic reality" in operator environments.

Equinix outlines neutral metro hubs to simplify last-mile access, orchestrate distributed infrastructure across clouds, and place AI inference closer to end users for lower latency and improved governance.

At MWC26, Nokia and Broadcom outlined their collaboration to support operators’ move to cloud-native architectures, apply AI to network operations, and prepare for 6G, combining Nokia’s telecom software with Broadcom’s silicon capabilities.

In a CEO column tied to MWC26, SK Telecom described plans to evolve into an AI-powered mobile network operator and a full stack AI provider spanning AI data center solutions and AI models.

Verdict reports that AI-driven automation is increasingly applied to telecom network operations, while LLM-related traffic remains a small share of overall consumer network usage.

Analysis notes that ~75% of consumers globally use generative AI, primarily via smartphones, implying mobile networks must add low-latency performance, higher throughput, edge compute integration, and AI-aware traffic management to support AI agents at scale.

Amdocs, via a YouTube conversation, outlines a shift from AI buzz to concrete agentic AI use cases intended to deliver measurable outcomes for telecom, without disclosing specific products, partners, or deployments.

In a MarketScale interview, Verizon Business’s healthcare practice lead details how hospitals are adopting private 5G for more reliable and secure connectivity beyond Wi‑Fi, integrating AI-enabled tools (ambient voice, computer vision) and medical IoT at the edge to support clinical workflows, real-time monitoring, hospital-at-home care, and strengthening cybersecurity and network resilience.

TRAI signals intent to establish a regulatory framework for AI use across Indian telecom networks, particularly in core functions such as network management and traffic control, emphasizing governance, security, and accountability.

Washington State enacted a bill mandating AI chatbot operators implement reasonable measures to prevent generation of sexually explicit or suggestive content, with a focus on protecting minors.

Vodafone Idea is in exploratory talks with ST Telemedia, JSW Group, Tillman Global Holdings, and other domestic players for a strategic equity investment following government relief measures; a potential fresh equity infusion (estimated up to Rs 50,000 crore per brokerage scenarios) could enable conversion of Rs 48,000 crore spectrum liabilities into equity without raising the government's stake above ~49%, aiding deleveraging and 5G capex. Management will meet institutional investors in Singapore and Hong Kong on March 16–17; structure (promoter dilution vs fresh issuance) remains undecided.

Telefónica acquired Altim, a SAP-focused services firm, to expand its enterprise/B2B application and integration capabilities. The move aligns with Telefónica’s ongoing inorganic build-out of digital transformation services.

Telia and Brookfield entered a long-term strategic partnership to build Sweden’s largest sovereign AI initiative aimed at strengthening Sweden’s and Europe’s digital capabilities; specific infrastructure, platforms, and rollout details were not disclosed.

Singtel’s venture arm launched a $250 million growth fund targeting AI solutions for network operations, cybersecurity, IT automation, and enterprise AI platforms, with intent to deploy outcomes across Singtel’s networks and platforms.

BlackRock committed US$100 million to develop and support roles for construction, installation, and operations tied to AI-related infrastructure spanning energy systems, telecommunications networks, and data centres.

Selectstar joined the GSMA Telecom AI Alliance under the Open Telco AI initiative, becoming the only Korean startup participant. The move aligns the company with operators and vendors collaborating on telecom-focused AI development and adoption.

Nokia is pursuing alliances focused on applying AI to the Radio Access Network (RAN) to support its next phase of growth; specific partners and technical details were not disclosed in the provided content.

Selectstar joined GSMA's Open Telco AI alliance, a global consortium of carriers, vendors, and academia focused on telecom-specialized AI with an emphasis on safety and accuracy.

At MWC 2026, AMD confirmed participation in GSMA's Open Telco AI initiative, supporting an open portal (open-telco.ai) with shared datasets, tools, and benchmarks. AMD will supply Instinct GPUs with the ROCm software platform for AI training and inference, introduced EPYC 8005 CPUs optimized for distributed edge and vRAN workloads, and expanded its Ryzen AI portfolio with Ryzen AI 400 and Ryzen AI PRO 400 Series desktop processors for OEM AI PCs.

Michael Rubas has been appointed Chief Executive of BuyIn, the joint procurement venture of Orange and Deutsche Telekom, effective 1 June 2026.

Orange has replaced its technology leader for its home market in France. In parallel industry activity, Orange is cited among early participants in Satellite Connect Europe and took part in a Nokia–AWS demonstration of agentic AI-driven 5G network slicing alongside du.