Private Network
Intelligence
Intelligence Journeys
Utilities Private Broadband Planning
AI Use Case Planning for Utilities

Data Privacy

Gartner’s latest outlook points to global AI spend hitting roughly $1.5 trillion in 2025 and exceeding $2 trillion in 2026, signaling a multi-year investment cycle that will reshape infrastructure, devices, and networks. This is not a short-lived hype curve; it is a capital plan. Hyperscalers are pouring money into data centers built around AI-optimized servers and accelerators, while device makers push on-device AI into smartphones and PCs at scale. For telecom and enterprise IT leaders, the message is clear: capacity, latency, and data gravity will dictate where value lands. Spending is broad-based. AI services and software are growing fast, but the heavy lift is in hardware and cloud infrastructure.
COAI has endorsed MeitY's move to address spam and scam communication from OTT apps. While telecom operators follow strict UCC rules, OTT platforms remain loosely regulated. COAI is advocating for uniform cybersecurity standards and clear regulatory roles to ensure user safety, particularly with emerging threats like steganography.
ETSI has published its first ISAC report for 6G—ETSI GR ISC 001—highlighting 18 use cases across healthcare, public safety, automation, and mobility. The report dives into deployment scenarios, sensing modalities, and KPIs like fine motion accuracy and sensing latency. It also outlines security, privacy, and sustainability guidelines for real-world ISAC integration into 6G networks.
Confidencial.io will unveil its unified AI data governance platform at RSAC 2025. Designed to secure unstructured data in AI workflows, the system applies object-level Zero Trust encryption and seamless compliance with NIST/ISO frameworks. It protects AI pipelines and agentic systems from sensitive data leakage while supporting safe, large-scale innovation.
NVIDIA and Google Cloud are collaborating to bring secure, on-premises agentic AI to enterprises by integrating Google’s Gemini models with NVIDIA’s Blackwell platforms. Leveraging confidential computing and enhanced infrastructure like the GKE Inference Gateway and Triton Inference Server, the partnership ensures scalable AI deployment without compromising regulatory compliance or data sovereignty.
India’s telecom sector is rapidly evolving with AI and automation enhancing network operations, customer service, and 5G deployment. With over 125 million 5G users and major investments from companies like Reliance Jio and Bharti Airtel, AI technologies are proving essential for scalability and efficiency. Despite challenges like infrastructure integration and talent gaps, India’s growing AI ecosystem and government support are driving the future of smart telecom solutions.
Scroll to Top
TELECOM AI AGENTS Q3 2026 · Available Now

Explore the Telecom AI Agents Leadership Landscapes

Explore market positioning, deployment momentum and operator validation across the telecom AI agent ecosystem.

Explore Leadership Landscapes
Independent · Evidence-based · Telecom-focused