Why the AI Boom Is Making Smartphones and PCs More Expensive in 2026

Prices of smartphones and personal computers (PCs) are expected to rise sharply in 2026, and the surprising reason is the global boom in artificial intelligence (AI). The cost of computer memory — especially RAM (Random Access Memory), the chip that lets a device handle tasks quickly — has more than tripled since October 2025. RAM was once one of the cheapest parts of a phone, but its rising cost is now squeezing manufacturers and shoppers, particularly at the budget end of the market.

The link to AI lies in how AI data centres are built. Data centres are large buildings full of powerful computers that train and run AI systems. These centres need enormous amounts of a special, high-speed memory called High-Bandwidth Memory (HBM), which lets AI chips process data very fast. Major memory makers such as Samsung, SK Hynix and Micron earn far higher profits from this server memory, so they have shifted production capacity towards it. The catch is that factory capacity is limited — every silicon wafer used to make HBM is one less wafer left for the ordinary DRAM (Dynamic RAM) used in phones and PCs. This has caused a worldwide shortage of regular memory and pushed its price up steeply.

The impact on consumers is direct. According to industry research, memory could make up about 43% of the total component cost of a smartphone priced under Rs 20,000, up from under 10% earlier. This "bill of materials" (BOM) — the combined cost of all the parts needed to build a product — is rising fast. Forecasters expect low-end phone prices to go up by roughly $30, while high-end flagship phones could see hikes of $150 to $200. One estimate sees PC prices rising about 17% and smartphone prices about 13% in 2026 compared with 2025. As a result, worldwide PC shipments may fall around 10% and smartphone shipments about 8% — the steepest drop in over a decade.

For India, where buyers are very price-sensitive, this has real consequences. Many people are likely to hold on to their phones and laptops for longer instead of upgrading, since cheaper models become scarce or costlier. Keeping older devices in use longer can also raise security risks, because old software and hardware are harder to protect. The trend also shows how the AI revolution, often seen as something distant, can reach into the daily budget of an ordinary consumer through the global supply chain for chips.

For exam aspirants, this connects science and technology with economics. Understand the difference between RAM/DRAM (everyday memory) and HBM (specialised AI memory), what a data centre and a GPU are, and how a global supply shortage translates into higher consumer prices. Terms like bill of materials and "inferencing" (running trained AI models) are useful. The broader theme — AI demand reshaping global electronics supply chains and affecting Indian consumers — is exactly the kind of current-affairs link examiners like.