The session on semiconductor workforce in the age of artificial intelligence at the India AI Impact Summit 2026 framed talent development as the decisive link between India’s AI ambitions and its semiconductor manufacturing roadmap. The discussion brought government, industry and academic leaders together and underlined that the next phase will require a deep understanding of the fabrication ecosystem, spanning device physics, process integration and advanced manufacturing systems.

Union Minister for Electronics and Information Technology Ashwini Vaishnaw outlined a national vision to build a globally competitive semiconductor ecosystem and to strengthen India’s long-term position in the artificial intelligence value chain, noting that students across much of the country are now designing chips. S. Krishnan, Secretary, Ministry of Electronics and Information Technology (MeitY), highlighted the convergence of the India AI Mission and the India Semiconductor Mission, and said India contributes twenty per cent of the world’s semiconductor design team and has committed to 10 major semiconductor plants, with at least four set to commence production in 2026.

The panel reframed workforce development as an ecosystem challenge and argued that an industry defined by extreme precision and long learning cycles needs engineers and technicians who understand not just tool operation but process behaviour across the fabrication chain. Participants from industry and academia, including representatives from Lam Research and the Centre for Nano Science and Engineering at the Indian Institute of Science (IISc), recognised that global semiconductor hubs built capabilities over five to seven decades and that India is attempting to compress that journey.

The speakers said acceleration will be possible only through integrated collaboration between academia, equipment manufacturers and fabrication facilities, with curriculum, research and hands-on training aligned to production environments. The IISc SemiFirst collaboration with industry was cited as a model that pairs simulation-led learning with exposure to fab subsystems to ready students for operational complexity. The discussion concluded that semiconductor capability in the age of artificial intelligence depends on depth of knowledge and that building that capability at scale will be central to India’s emergence as a manufacturing and technology partner.