The rapid expansion of artificial intelligence (AI) infrastructure is emerging as an unexpected headwind for India’s automobile industry, as surging demand for metals and semiconductors drives up input costs and pressures margins, according to a report by The Indian Express.
Maruti Suzuki India, the country’s largest passenger vehicle maker, has flagged rising commodity prices as a key factor behind margin compression, linking part of the cost pressure to cross-sector competition from AI-driven demand.
In its latest quarterly results, Maruti Suzuki reported operating profit margins of 8.1 per cent of net sales in Q3 FY2026, down from 8.4 per cent in the previous quarter. The company attributed around 60 basis points of the decline to adverse movements in commodity prices, particularly platinum group metals (PGMs), aluminium and copper.
“We are seeing some kind of headwinds in commodities at the moment in platinum, palladium, rhodium and aluminium and copper. Some of these are also being discussed across sectors. Some of these have to do with the AI memory chips etc. also,” Rahul Bharti, senior executive officer for corporate affairs at Maruti Suzuki, said.
Hyundai Motor India has also cited rising input costs as a reason for a recent price increase across its model range. In a regulatory filing, the company said higher prices of precious metals and other commodities used in vehicle manufacturing had pushed up production costs, contributing to inflationary pressure.
AI boom intensifies competition for metals
The automotive sector’s commodity challenges appear increasingly linked to the explosive growth of AI infrastructure. Data centres powering AI applications require large volumes of copper for electrical systems and aluminium for cooling solutions, intensifying competition for these materials.
In India, aluminium prices climbed to a record ₹361.25 per kg on January 29, while copper prices touched a fresh peak of ₹1,480.3 per kg, reflecting the sharp rise in demand. The AI-driven data centre boom has also contributed to higher prices of memory chips, as manufacturers prioritise high-margin AI contracts over traditional automotive customers.
For automakers, the impact is multi-layered. PGMs such as platinum, palladium and rhodium are critical for catalytic converters used to control emissions, while copper is essential for vehicle electrification and increasingly complex electrical systems. Aluminium, meanwhile, is widely used in body structures to improve fuel efficiency and reduce weight.
Semiconductor risks resurface
According to a recent UBS report, the rapid expansion of AI data centres could create a bottleneck in dynamic random-access memory (DRAM) chips, potentially disrupting vehicle production as early as the second quarter of 2026. DRAM manufacturers are increasingly prioritising AI server demand, raising the risk of supply shortages for automakers — echoing the semiconductor crisis witnessed during the Covid-19 pandemic.
Analysts say the current situation reflects a structural shift in global commodity and semiconductor demand rather than a cyclical spike. Copper, long seen as a backbone of electrification, is now facing unprecedented demand from AI, energy transition, EVs, construction and defence.
Ratings agency S&P Global estimates that global electricity demand will rise by nearly 50 per cent by 2040, with India expected to see annual growth of around 4.2 per cent, underscoring the scale of the challenge for energy and metal supply chains.
Implications for the auto industry
For India’s auto sector, the AI-driven surge in demand for metals and chips could reshape cost structures, pricing strategies and supply-chain planning. While EV adoption and electrification are already increasing metal intensity in vehicles, the parallel rise of AI infrastructure is accelerating competition for critical resources.
Industry experts warn that unless supply chains expand in tandem with demand, automakers may face sustained margin pressure, potential production disruptions and higher vehicle prices in the coming years.
