India's aggressive semiconductor initiatives alongside advancements in agentic artificial intelligence are poised to revolutionize the country's technology landscape, creating new opportunities in chip design, manufacturing, autonomous networks, and enterprise solutions.

  • AI-enabled devices to grow with advanced chipsets supporting large language models on edge
  • Domestic semiconductor manufacturing to expand, targeting legacy nodes initially
  • Telecom operators to leverage AI for autonomous operations and new enterprise offerings

What happened

Industry leaders in India have emphasized the transformative potential of the country’s semiconductor ambitions combined with agentic AI technologies. Companies like MediaTek highlight the trend of increasingly intelligent devices capable of running large language models natively, enhancing performance at the device level. The launch of advanced chipsets such as MediaTek’s Dimensity 9600 Pro with dual neural processing units exemplifies this shift toward AI acceleration on mobile and connected devices.

Simultaneously, India’s government initiatives under the India Semiconductor Mission 1.0 and 2.0 are fostering a burgeoning semiconductor ecosystem aimed at boosting self-reliance. While domestic chip manufacturing is currently focused on legacy technology nodes, experts anticipate steady progress toward more advanced fabrication processes. Complementing this, telecom industry experts underscore AI’s growing influence, envisioning autonomous network operations, enhanced customer service automation, and integrated AI solutions for enterprises, especially small and medium-sized businesses.

Why it matters

This convergence of semiconductor development and AI adoption is critical for India’s ambition to reduce dependence on foreign technology and build a robust, indigenous electronics ecosystem. Expanding fabrication capabilities and fostering local manufacturing ecosystems enables India to retain greater control over supply chains and technological innovation. This strategy also positions India as a competitive player in the global semiconductor and technology markets.

For the telecom sector, agentic AI promises to revolutionize operational efficiency and service offerings. By automating network management and customer interactions, telecom providers can improve reliability and reduce costs. Additionally, AI-driven enterprise offerings create new revenue streams, supported by secure, sovereign AI models that comply with local data residency requirements and reinforce digital sovereignty.

What to watch next

Industry observers will be closely monitoring the pace at which India’s semiconductor manufacturing capabilities advance beyond legacy nodes, as achieving state-of-the-art fabrication processes remains a long-term goal. The effectiveness of government initiatives like ISM 2.0 in catalyzing a full semiconductor supply chain—from design to manufacturing—will be pivotal.

In parallel, the deployment of agentic AI across telecom network operations and enterprise solutions will be a key trend to watch, particularly how telecom companies integrate AI with 5G and upcoming 6G technologies. Leaders in the space advocate for India to take an active role in shaping 6G standards and promote open technology frameworks to avoid overreliance on proprietary systems, which could influence the global technology landscape and India’s position within it.

Source assisted: This briefing began from a discovered source item from Economic Times Tech. Open the original source.
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