The Telecom AI Platform collaboration between Jio Platforms Limited (JPL), AMD, Cisco, and Nokia revealed at last month’s Mobile World Congress 2025 may represent a significant shift in how telecom networks evolve in coming years.

The partnership focuses on developing an open AI framework for network operations, and comes as service providers worldwide face mounting pressure to improve efficiency and create new revenue streams.

Announced on March 3, the alliance brings together expertise across RAN, routing, AI data centres, security, and telecom infrastructure to create what the companies describe as a “central intelligence layer” for telecom and digital services. The multi-domain intelligence framework aims to integrate AI and automation in all network operations, with Jio serving as the first implementation case.

“We are building a multimodal, multi-domain orchestrated workflow platform […] for the telecom industry,” said Mathew Oommen, Group CEO of Reliance Jio. He highlighted the platform’s potential to transform networks into “self-optimising, customer-aware ecosystems.”

Technical foundations and AI

What sets the Telecom AI Platform apart is its technological approach. The platform will be LLM-agnostic and use open APIs, using multiple forms of artificial intelligence including agentic AI, general and domain-specific LLMs, Small Language Models (SLMs), and non-GenAI machine learning techniques.

AMD’s chair and CEO Lisa Su heralded “more secure, efficient, and scalable networks,” made possible through the platform, which uses Cisco’s Agile Services Networking and Data Centre Networking, plus Nokia’s capabilities in RAN, Core, fixed broadband, and optical transport.

India first, then global expansion

The Open Telecom AI Platform’s first customer, Jio, describes a “replicable reference architecture and deployable solution for the broader global service provider industry.”

The company hopes to position India as a front-runner in AI-driven telecom innovation. The timing of the project is significant, as telecom operators worldwide face increasing pressure to enhance network performance and offer new services beyond those of traditional telecom infrastructure.

“The initiative goes beyond automation – it’s about enabling AI-driven, autonomous networks that adapt in real-time, enhance user experiences, and create new service and revenue opportunities across the digital ecosystem,” Oommen said.

Real-world applications and benefits

Industry analysts suggest the Telecom AI Platform could drive significant improvements in several key areas:

1. Network security: Enhanced threat detection and prevention through AI-driven analysis across network layers
2. Operational efficiency: Reduced total cost of ownership through automation and predictive maintenance
3. Self-healing networks: Autonomous identification and resolution of network issues before they impact service
4. Revenue generation: Creation of new AI-enabled services and applications for enterprise and consumer segments

Potential timeline and global impact

While specific deployment timelines weren’t disclosed in the announcement, the companies indicated that development is actively underway. The platform’s open architecture design suggests its impact could extend far beyond Jio’s network in India.

The Telecom AI Platform represents a significant step toward what industry experts call “cognitive networks” – telecommunications infrastructure with embedded intelligence that can learn, adapt, and evolve autonomously. For global telecom operators watching this development, the platform could provide a blueprint for integration that addresses their most pressing challenges: reducing operational costs, enhancing security posture, improving customer experience, and developing new revenue streams.

As telecom networks continue their evolution toward 6G and beyond, initiatives like this Telecom AI Platform may well determine which operators thrive in the future – and which countries will lead the next wave of telecommunications innovation.

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At MWC 2025, Indosat Ooredoo Hutchison became the first mobile operator in Southeast Asia to deploy AI-RAN (Artificial Intelligence Radio Access Network), in collaboration with Nokia and NVIDIA. The deployment integrates Nokia’s 5G Cloud RAN solution with NVIDIA AI Aerial, creating what the companies term a unified computing infrastructure that hosts both AI and RAN workloads.

AI and telecom convergence

Indosat is the world’s third operator to deploy AI-RAN commercially. The recent initiative combines AI and wireless connectivity to improve network performance, efficiency, and service capabilities. As part of the partnership, the companies have signed an MOU to develop, test, and deploy AI-RAN solutions. The initial focus will be on AI inferencing workloads using NVIDIA AI Aerial, followed by the full integration of RAN workloads on the same platform.

Indosat, Nokia, and NVIDIA will work with Indonesian universities and research institutes to advance AI-driven telecom applications, support academic research and student training, and drive innovation in network optimisation, spectral efficiency, and energy management.

AI-RAN’s role in network transformation

The AI-RAN infrastructure is expected to change Indosat’s network strategy, letting the company share infrastructure costs for multiple applications and introduce AI-powered services. The integration’s aims of improving spectral efficiency and reduction in energy use laying the groundwork for future 6G improvements.

The initiative is in line with Indonesia’s national AI strategy, establishing Indosat as an enabler of AI services rather than just a telecom provider. The company has established a ‘Sovereign AI Factory’ in Indonesia, designed to support startups, enterprises, and government organisations in developing AI applications for healthcare, education, and agriculture. With NVIDIA AI Enterprise software and serverless APIs, Indosat plans to scale AI inferencing for Indonesia’s population of 277 million, optimising AI workloads across the network.

Expanding AI capabilities across applications

The provided serverless API framework, created in collaboration with NVIDIA, will allow Indosat’s AI partners, including Hippocratic.ai, Personal.ai, GoTo, and Accenture, to deploy distributed inference engines on a large scale.

Indosat President Director and CEO Vikram Sinha made clear the broader impact of AI integration in telecom, saying, “By embedding AI into our radio access network, we’re not just enhancing connectivity – we’re building a nationwide AI-powered ecosystem that will fuel innovation across industries. This aligns with our mission to connect and empower every Indonesian.”

Deployment roadmap

The AI-RAN rollout will follow a phased approach:

• Early 2025: A 5G AI-RAN lab established in Surabaya to support development, testing, and validation.
• Second half of 2025: Launch of a small-scale commercial pilot to test AI inferencing workloads running on the NVIDIA AI-RAN infrastructure.
• 2026: Broader expansion of AI-RAN deployment.

Industry perspectives

Tommi Uitto, President of Mobile Networks at Nokia, stated: “When you combine AI with RAN, you create an engine for future innovation. With our 5G Cloud RAN platform, Indosat can transform its network into a multi-purpose computing grid that uses the synergies of AI-accelerated computing. With our AI-powered products, we help Indosat augment RAN capabilities for enhanced performance, operational efficiency, advanced automation and optimised energy efficiency.”

Ronnie Vasishta, SVP Telecoms at NVIDIA said: “The combination of Indosat’s vision for a nationwide AI grid and NVIDIA AI expertise and full-stack software and hardware platform will catalyse AI adoption and innovation across Indonesia, creating a new playbook for telecom operators worldwide.”

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