As global competition around artificial intelligence intensifies, Zoho co-founder Sridhar Vembu has called on India to focus on building a broader and more self-reliant technology ecosystem rather than concentrating solely on AI models.

His remarks came after reports that access to certain advanced AI models developed by Anthropic, including Fable 5 and Mythos 5, was restricted for foreign nationals under new US regulations.

According to Vembu, artificial intelligence is only one layer of a much larger technology stack that powers modern digital infrastructure.

AI Is Only the Tip of the Technology Pyramid

Sharing his views on social media platform X, Vembu argued that much of the discussion around AI focuses on large language models while overlooking the foundational technologies required to support them.

“AI is the tip of a whole pyramid of capabilities, most of it we don’t have and we don’t even hear about,” he said.

I would frame the issue facing Bharat as sovereign tech in general and not just sovereign AI.

AI is the tip of a whole pyramid of capabilities, most of it we don’t have and we don’t even hear about. Most of those capabilities are not very expensive to acquire (unlike AI itself)…

— Sridhar Vembu (@svembu) June 15, 2026

He emphasized that many of these underlying technologies are far more attainable than building frontier AI models. While developing cutting-edge AI systems requires enormous capital investments, foundational capabilities often depend more on engineering expertise, talent development, and long-term commitment.

According to Vembu, India should launch a coordinated national effort that strengthens every layer of the technology ecosystem rather than focusing exclusively on AI applications.

The Importance of Technology Sovereignty

Vembu’s comments highlight a growing global conversation around technology sovereignty. Countries worldwide are increasingly recognizing that controlling digital infrastructure, semiconductor supply chains, networking systems, data center technologies, and software platforms is just as important as owning AI models themselves.

He pointed to Japan as an example of a country that has built strategic influence through specialized industrial technologies that support global AI infrastructure.

Many Japanese companies supply critical components and technologies that power modern data centers, cloud platforms, and advanced computing environments, despite not being prominent names in the AI model race.

Open-Source AI as a Strategic Alternative

Vembu also suggested that India should explore open-source AI technologies and smaller, efficient AI models rather than attempting to directly compete with the massive investments being made by leading global AI companies.

Industry estimates suggest that developing and maintaining frontier AI models requires investments worth tens or even hundreds of billions of dollars.

Instead, Vembu believes India can achieve meaningful progress by leveraging open-source innovation, nurturing domestic talent, and strengthening the broader technology ecosystem that supports AI deployment.

Why Infrastructure Matters as Much as AI

The discussion highlights an important reality often overlooked in AI conversations.

Building AI systems is not only about developing models. It also requires:

• Data center infrastructure
• High-performance computing hardware
• Networking systems
• Semiconductor technologies
• Energy management solutions
• Cybersecurity frameworks
• Software deployment platforms

These foundational layers determine how effectively AI can be developed, deployed, and scaled.

Industry experts increasingly view these supporting technologies as critical components of national competitiveness in the AI era.

A Long-Term Vision for India’s Technology Future

As nations race to secure leadership in artificial intelligence, Vembu’s message offers a broader perspective. Rather than focusing solely on headline-grabbing AI breakthroughs, he argues that India should invest in developing a complete technology ecosystem capable of supporting innovation across multiple sectors.

Such an approach could strengthen technological resilience, reduce dependence on external systems, and create long-term opportunities for Indian businesses, engineers, researchers, and startups.

As global regulations, supply chains, and AI governance frameworks continue to evolve, building strong capabilities across the entire technology pyramid may prove just as important as building the next generation of AI models.