India's AI ambitions demand vast quantities of critical minerals. The question is whether we'll dig them up for others to profit from, or build the scientific capacity to turn raw materials into quantum computers, advanced semiconductors, and next-generation energy systems.

[L-R] Harjiv Singh, Executive Fellow at Cambridge University and CEO of CambrianEdge.ai and Prof Siddharth S Saxena, Research Professor, University of Cambridge
The world is chasing the wrong prize. Governments scramble for lithium deposits and rare-earth mines as if controlling minerals guarantees technological power. It doesn't. History teaches a harder lesson: nations that merely extract resources stay poor while those that transform them grow rich.
India faces this choice now. Our net-zero goals and AI ambitions demand vast quantities of critical minerals. The question isn't whether we need them—we do. The question is whether we'll dig them up for others to profit from, or build the scientific capacity to turn raw materials into quantum computers, advanced semiconductors, and next-generation energy systems.
The Physical Reality of Digital Power
Artificial intelligence sounds weightless—cloud-based, virtual, digital. The reality is brutally material. Every AI model runs on high-performance semiconductors built from gallium, germanium, and rare-earth dopants. Data centres consume more copper than small towns do. Training frontier AI models requires batteries stabilised by graphite and silicon. Advanced cooling systems need specialised magnets. AI isn't dematerialised. It's hyper-materialised. As models grow larger and more ubiquitous, mineral demand will intensify. The same applies to quantum technologies—the superconductors, topological materials, and multifunctional alloys that will power quantum processors don't emerge from mines. They emerge from laboratories. This is the bottleneck the world ignores.
China Understood What Others Missed
China's dominance in rare-earth processing wasn't luck. It resulted from 30 years of systematic investment across the full value chain- from geology to chemistry to materials science to manufacturing. While other nations focused on extraction, China built the capacity to innovate.
The lesson applies globally. Central Asia, often framed as the next great mineral supplier, has historically been an innovator, not a passive resource base. Bronze Age metallurgists there pioneered alloying techniques that reshaped Eurasia. Under the Mongol Empire, the region built the world's most sophisticated knowledge-exchange network. During the Soviet era, it served as an industrial and scientific backbone.
Today it risks repeating a familiar trap: exporting raw materials while others capture value. India faces the same danger.
The New Extractive Order
If resource-rich nations simply dig and ship, they'll recreate colonial patterns- environmental damage at home, value creation abroad, long-term dependency. Lithium replaces rubber, cobalt replaces copper, and rare earths replace spices. The structure remains unchanged.
India cannot afford this path. Trading dependence on fossil fuels for dependence on foreign mineral supply chains solves nothing. We need processing capacity, manufacturing capability, and most critically, research ecosystems that can discover and synthesise new materials.
The minerals that matter today may be irrelevant tomorrow. Battery chemistries evolve. Rare-earth magnets face replacement by new compounds. AI hardware may shift to neuromorphic or quantum architectures requiring entirely different materials. The only sustainable advantage is the capacity to innovate.
What India Must Do
The alternative requires bold choices:
- Build joint research centers focused on quantum materials, superconductivity, and advanced synthesis—not just with Western partners, but with resource-rich regions like Central Asia that can become co-development partners for our strategic interests.
- Develop processing and manufacturing capacity at home. Raw material exports must stop being the endpoint.
- Invest in scientific exchanges and training programs that rebuild research ecosystems. China's advantage came from building human capital, not just infrastructure.
- Pursue technology transfer and co-development agreements that create shared intellectual property, not asymmetric extraction contracts.
- Foster regional integration. Geology doesn't respect borders. Neither should our scientific partnerships.
This isn't idealism. It's a survival strategy. The countries that will lead the AI-quantum age aren't those with the most lithium deposits. They're those with the capacity to discover, synthesize, and engineer materials that don't yet exist.
The Vision Question
The Silk Road of the 21st century won't be built on caravans or pipelines. It will be built on materials science, quantum technologies, and AI infrastructure. Prioritising India’s scientific and research base can help it become a hub for quantum materials research, a center for AI-grade semiconductor manufacturing, a driver of the next technological revolution.
Or we can become another chapter in the long history of regions that exported their future at discount prices.
The world keeps asking who has the minerals. The right question is: who has the vision?
India's choice will determine whether we shape the future or merely supply it.
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