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Google Cloud Study: 52% Deploy AI Agents, Driving ROI

Google Cloud Study: 52% Deploy AI Agents, Driving ROI
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.

Capgemini completes $3.3B WNS acquisition

Capgemini completes $3.3B WNS acquisition
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–UK telecom innovation centre for 5G-Advanced and 6G

India–UK telecom innovation centre for 5G-Advanced and 6G
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.

AI to Power India’s 6G Self-Healing Networks

AI to Power India’s 6G Self-Healing Networks
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.

AT&T and Ericsson launches cloud-based IoT Marketplace

AT&T and Ericsson launches cloud-based IoT Marketplace
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 FTTH digital twin and AI tools boost reliability

Nokia FTTH digital twin and AI tools boost reliability
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.

AI Leaders Double Revenue and Cut Costs 40%

AI Leaders Double Revenue and Cut Costs 40%
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.

Why 95% of GenAI Pilots Fail to Scale Across Industries, Including Telecom

Is AI Underperforming in Telecom? Challenges, Use Cases & the Road Ahead
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.

Telefónica Level 4 Network Automation Achievements

Telefónica Level 4 Network Automation Achievements
Telefónica is translating years of network automation into tangible Level 4 autonomous operations in targeted domains—an inflection point for service quality, cost, and speed at 5G scale. Under its Autonomous Network Journey (ANJ), Telefónica is aligning to the TM Forum Autonomous Networks framework and pushing selected processes to Level 4—closed-loop autonomy with minimal human oversight. The company reports a 70% reduction in flapping-related service impact and removal of manual work in these incidents, advancing this use case to Level 4 maturity. The operator cites 80% faster analyses for planning, operations, and optimization; a 40% drop in capacity issues; more than 90% reduction in sites experiencing high load with widespread customer impact; and a 5% latency improvement via virtual optimization prior to rollout.

Microsoft 365 AI integrates Anthropic Claude

Microsoft 365 AI integrates Anthropic Claude
Microsoft is preparing to license Anthropic’s Claude models for Microsoft 365, signaling a multi-model strategy that reduces exclusive reliance on OpenAI across Word, Excel, Outlook, and PowerPoint. According to multiple reports, Microsoft plans to integrate Anthropic’s Claude Sonnet 4 alongside OpenAI’s models to power Microsoft 365 Copilot features, including content generation and slide design in PowerPoint. This is a notable pivot from a single-model default to a best-of-breed approach that routes tasks to the model that performs best for a given function. For enterprises, especially in regulated and mission-critical domains like telecom, the shift implies more resilience, better accuracy for specialized tasks, and new options to optimize for quality, cost, and latency.

Network APIs in Telecom: Growth, Use Cases & Challenges

Network APIs in Telecom: Growth, Use Cases & Challenges
Network APIs are redefining the telecom sector, enabling real-time services, secure mobile payments, IoT support, and cross-industry innovation. With projected market growth to $30B by 2030, telecom leaders are focusing on standardization, ecosystem collaboration, and developer engagement to unlock the full value of APIs in the 5G era.

Telcos to Techcos: How AI & 5G Are Transforming Telecom

Telcos to Techcos: How AI & 5G Are Transforming Telecom
The telecom industry is in the midst of a major shift from “telco” to “techco”, with operators investing in AI, 5G, cloud computing, and digital services to compete with tech giants like Amazon and Google. At MWC 2025, leaders from e&, KDDI, MTN, and SK Telecom discussed their AI-driven strategies, including self-healing networks, smart city infrastructure, fintech expansion, and enterprise 5G solutions. As telcos embrace AI-powered automation and cloud-based innovations, they are redefining their role in the digital economy.
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