I recently had the opportunity to join a delegation visit to India, to coincide with India’s massive AI Impact Summit in New Delhi. While events like these are often defined by keynote announcements and product showcases, what stood out to me was the sheer scale and intensity of India’s digital transformation – and the lessons that other regions can learn from this.
India is moving with a level of clarity and intent that has direct relevance far beyond its own borders. The discussions reinforced a number of themes that are becoming increasingly important globally – the role of infrastructure in enabling AI at scale, the growing importance of digital sovereignty, and the need to rethink how showroom innovations can be introduced into real-world environments.
Digital momentum must be infrastructure-led
One of the strongest impressions was the extent to which India’s digital ambition is grounded in infrastructure. While much of the world is understandably focused on adopting AI technologies, the real work is happening behind the scenes – building the physical network infrastructure and connective technologies required to support real-time AI use cases. Significant public investment is being directed toward building the data centers required to support both AI training and inference scenarios, with a clear objective of making these capabilities broadly accessible rather than concentrated among a small number of players or geographical hubs.
“Accessible” is the most important word here. India is not only committed to building the infrastructure, but also subsidizing its use. Through a combination of federal and state support, compute resources – including GPU capacity – are being made available with low entry barriers and at such a scale that Indian startups and medium-sized companies are enabled to genuinely participate in AI development. That creates an environment where digital infrastructure becomes a positive enabler of digital and economic growth on a breathtaking scale. Here, we see what it really means to democratize digital infrastructure.
The importance of digital sovereignty
Discussions at the summit demonstrated that digital sovereignty is becoming a real priority, not only in Europe. In India, the focus appears to be on building greater operational control across the entire digital value chain, from data and compute to connectivity and AI capabilities, with the aim of ensuring long-term independence. This reflects what we are seeing in other parts of the world, where enterprises, organizations, and governments are reassessing their dependence on external platforms and increasingly complex supply chains.
This was a topic where our great team at DE-CIX India was able to contribute to the conversation. Because from a business perspective, sovereignty is not only about the compute instances and the software platforms, but also about knowing where data flows, how it’s exchanged, and under what conditions. This is where neutral interconnection plays a decisive role, because it provides the foundation for sovereign digital ecosystems, enabling direct, secure, and transparent data exchange between business-relevant networks, cloud providers, and enterprises, while maintaining the flexibility to operate across borders. In this sense, sovereignty becomes an architectural decision – how networks are built and managed will determine how resilient, secure, and independent a digital ecosystem can be.
AI is altering the infrastructure map
There was a lot of buzz around physical AI at the summit – autonomous robots managed by AI agents. This is AI inference on a completely different level from the chatbots and AI assistants that we’ve been becoming used to over the past couple of years. And it’s completely changing the way infrastructure is designed and how connectivity is distributed. Inference for physical AI – where AI is applied at the edge in real-time – in use cases from self-driving cars to robotic surgery, and on to autonomous factories, demands that compute resources are positioned closer to users, devices, and data sources. This is giving way to a far more distributed model, where workloads are spread across cloud, edge, and on-premise environments, rather than concentrated in a handful of hyperscale locations – and that requires smarter networking.
Data must move efficiently between multiple environments, often across different networks and geographies, while meeting strict requirements for latency, performance, and security. At the same time, emerging concepts around distributed infrastructure and new deployment models are beginning to challenge traditional assumptions about where compute should reside. That’s why the spotlight has come back around to connectivity. The ability to exchange traffic directly between networks, instead of relying solely on the public Internet, is now essential for supporting AI-driven services that depend on real-time interaction between systems. And as AI continues to scale, infrastructure will need to evolve accordingly, with interconnection playing a determining role.
Collaboration across borders
With high-level political and business delegates from all over the world, New Delhi played host to an exciting exchange of ideas and the building of cross-continental business opportunities. It was clear from the conversations I had that Indian companies are eager to collaborate across borders and cultures. Not only in terms of business, but also education. But the momentum of India’s AI development demonstrates that they won’t be waiting for stragglers: As one of the fastest-growing economies in the world, India is on a growth trajectory that will eclipse many developments we’ve seen in recent decades. And the rest of the world will need to keep up if we want to join their game. Ambition must be matched by a willingness to act, to invest, and to build at scale, with a clear understanding that infrastructure will ultimately determine how far and how fast AI can go.
For DE-CIX, this reinforces the importance of continuing to expand and strengthen a globally interconnected environment, and the importance of creating local entities and filling them with life – like our excellent team at DE-CIX India. Markets like India are not only driving their own growth, but actively shaping the future of digital infrastructure on a global level. The next phase of AI will not be defined by individual breakthroughs like automated vehicles, but by how effectively different environments, regions, and networks are brought together to support them.
