Mohandas Pai, a senior advisor at Infosys, said that a global shortage of memory chips could increase smartphone prices in India [1].
The trend highlights how the rapid expansion of artificial intelligence is shifting the hardware landscape. As data centers consume more resources to power AI, the supply of essential components for consumer electronics is tightening, potentially making mobile devices less affordable for millions of users.
Pai, who previously served as the chairman of NASSCOM, said that the shortage specifically affects DRAM and NAND memory chips [1]. The surge in demand is largely driven by the infrastructure needs of AI data centers [2].
"If the chip shortage continues, we could see a noticeable rise in the price of smartphones in India," Pai said [1].
Market data suggests the impact is already being felt. Memory-chip prices surged by more than 30% in the first quarter of 2024 [2]. Some industry reports indicate that four major smartphone brands in India have already increased prices by ₹1,000 to ₹6,000 on flagship and mid-range models [3].
Analysts expect the volatility to continue. Projections suggest another 63% rise in memory-chip prices in the following quarter [4]. This supply chain pressure is not limited to mobile phones; it has also forced price hikes for other electronics, including consoles from Sony and Nintendo [4].
While some reports suggested the shortage might only affect prices later in 2024, others indicate the impact was already present in early 2024 [1, 5]. The discrepancy reflects the speed at which these components move through the global supply chain from manufacturers to retail shelves.
“"If the chip shortage continues, we could see a noticeable rise in the price of smartphones in India."”
This situation illustrates a growing conflict between the enterprise AI boom and the consumer electronics market. Because AI data centers require massive amounts of high-capacity memory, they are effectively outbidding or crowding out the supply for consumer devices. This creates a 'trickle-down' inflationary effect where the cost of AI innovation is paid for by the end-user of a standard smartphone.
