India's electronics and AI infrastructure ambitions are accelerating, but mounting environmental opposition, tighter Chinese visa curbs, and intensifying competition for semiconductor investment are exposing new challenges. As Google advances a US$15 billion AI data center, Larsen & Toubro (L&T) restructures its cloud business, and Dixon Technologies expands its smartphone OEM business, states are sweetening incentives to strengthen India's position in global technology supply chains.

As physical AI and robotics draw unprecedented market attention, a key bottleneck is clogging the deployment pipeline: quality, real-world physical data. To move applications from the lab to real-world deployment, companies are getting creative in overcoming this obstacle while balancing affordability, stability, and data volumes.

China is accelerating construction of its national computing network, and a growing share of new capacity is likely to use supernodes. With domestic AI accelerators still trailing leading global chips in single-card performance, Chinese vendors are increasingly relying on larger card counts, high-speed interconnects and system-level optimisation to close the gap.