Ericsson CTO Endorses India's AI-Powered 5G Leadership and Bharat 6G Initiative

2 min read     Updated on 22 Jan 2026, 08:32 PM
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Overview

Ericsson CTO Erik Ekudden highlighted India's leadership position in AI-powered 5G networks during the World Economic Forum in Davos. With one of the world's largest 5G deployments and nearly a billion projected connections, India is well-positioned for AI-native network evolution. Ericsson maintains strong commitment to India as its second-largest market with over 24,000 employees and supports the government's Bharat 6G initiative for future telecommunications advancement.

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*this image is generated using AI for illustrative purposes only.

Ericsson's Senior Vice President and Chief Technology Officer Erik Ekudden has positioned India as a frontrunner in the global transition toward AI-powered telecommunications infrastructure. Speaking at the World Economic Forum Annual Meeting in Davos, Ekudden outlined how advanced connectivity will serve as the foundation for artificial intelligence adoption across industries.

AI Integration in Current 5G Networks

Ekudden emphasized that artificial intelligence is already embedded within existing 5G networks, delivering measurable improvements across multiple parameters:

Current AI Applications: Benefits Delivered
User Experience Enhancement: Improved network performance and reliability
Energy Optimization: Reduced power consumption across network infrastructure
Service Deployment: Accelerated rollout of new telecommunications services
Workflow Automation: Enhanced coding, testing, and system development processes

The Ericsson executive noted that the company has begun realizing tangible returns from early AI investments, particularly in research and development operations. These AI-driven workflow improvements have resulted in significant productivity gains and reduced time-to-market for new solutions.

Evolution Toward AI-Native Networks

The next phase of AI adoption will fundamentally depend on data movement efficiency between devices, sensors, and cloud systems. Ekudden highlighted the emergence of agentic AI, where multiple AI agents interact within complex workflows, creating new demands on network infrastructure.

This evolution will significantly alter network traffic patterns, particularly increasing uplink demand and requiring more intelligent, AI-native network architectures. Ekudden described this transformation as creating an "intelligent fabric" of connectivity that functions "more like a fabric, a mesh of communication."

India's Strategic 5G Position

India's telecommunications landscape presents unique advantages for AI-powered network deployment:

India's 5G Advantages: Details
Network Scale: One of the world's largest and fastest 5G deployments
Projected Connections: Close to one billion 5G connections within the next few years
Sector Applications: Manufacturing, transportation, and retail AI services
Upgrade Path: Smooth transition capability toward AI-native 6G networks

Ekudden emphasized that countries do not need to wait for next-generation 6G standards to benefit from AI capabilities. Current AI-powered 5G standalone networks already offer substantial opportunities for innovation and service development.

Ericsson's India Commitment and Bharat 6G Support

India represents Ericsson's second-largest market globally, with the company maintaining over 24,000 employees in the country. The company's Indian operations play a crucial role in global research and development efforts across multiple technology domains:

  • Software and hardware development
  • AI technology advancement
  • Network management solutions
  • University collaborations
  • Startup ecosystem partnerships

Ekudden expressed strong support for the Indian government's Bharat 6G initiative, describing India's approach as forward-looking and focused on leveraging AI to drive economic growth rather than relying on traditional models.

Future Technology Outlook

Looking toward 2026, Ekudden anticipates continued innovation across multiple technological fronts, including advanced agentic AI applications and emerging use cases such as AI-enabled glasses and wearable devices. However, he stressed the critical importance of trust, security, and end-to-end compliance in building reliable digital infrastructure to support these transformative technologies.

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