21st October 2026
Billions of pounds are being invested in artificial intelligence, but could the race to build smarter machines leave ordinary consumers paying more for computers, phones and other electronic goods?
The global race to develop artificial intelligence is creating enormous demand for computer chips. While much of the attention has focused on the fortunes being made by technology companies, a less welcome consequence is emerging: the equipment needed to power AI could make some everyday technology more expensive.
A recent Reuters report illustrates the scale of the competition. China's technology giants ByteDance, Alibaba and Tencent have reportedly ordered more than three million Nvidia RTX PRO 5500 graphics cards, with a combined list-price value exceeding $35 billion. Nvidia has warned that it cannot guarantee it will fulfil all the orders because demand exceeds its planned production capacity.
These are extraordinary figures, but the implications extend beyond the companies placing the orders. They raise questions about how the AI boom might affect the prices paid by ordinary households and smaller businesses.
Why are computer chips suddenly so valuable?
Artificial intelligence requires enormous computing power. Developing AI systems and running them for millions of users involves specialised processors, powerful servers and large quantities of high-speed memory.
Nvidia has become one of the central suppliers to this expanding industry. Its processors are highly sought after because they can handle the complex calculations required by modern AI systems.
The latest Chinese orders also illustrate how international politics affects the market. US restrictions have limited China's access to some of Nvidia's more advanced processors, increasing demand for products that remain available under export rules.
However, the reported RTX PRO 5500 orders concern high-end workstation graphics cards, rather than the most powerful chips used in large AI data centres. The distinction matters, although both markets form part of the wider competition for advanced computing equipment.
The pressure is already reaching consumers
The most immediate concern is not necessarily the price of Nvidia's specialist processors. It is the supply of memory chips used in ordinary electronic devices.
AI servers require substantial quantities of high-performance memory. Manufacturers have strong commercial incentives to prioritise products that command higher prices, potentially leaving less manufacturing capacity available for conventional computer memory.
Market research firm TrendForce reported in September that conventional DRAM contract prices were expected to rise by 10% to 15% during the fourth quarter of 2026, compared with the previous quarter. NAND flash memory, widely used in storage devices and solid-state drives, was forecast to rise by 15% to 20%.
These are industry contract-price forecasts, not guaranteed increases in shop prices. Nevertheless, they indicate the cost pressures facing manufacturers.
Laptops and desktop computers could become more expensive as higher component costs work their way through supply chains. Manufacturers might instead offer less memory or storage at a similar price, meaning customers receive a less capable product for their money.
Smartphones could face similar pressures, particularly where manufacturers have limited room to absorb higher costs without raising retail prices.
What about televisions, gaming and household electronics?
The effects will not be identical across the technology industry.
Gaming computers and graphics cards could face higher prices if supplies of particular processors and memory components remain tight. Business computers and professional workstations may also be affected.
Other products, including televisions and basic household electronics, could experience smaller or more variable effects. They use different combinations of components, and demand in some consumer markets is relatively weak.
Manufacturers can also respond by redesigning products, negotiating different supply contracts or switching components where possible. Competition between brands may prevent some cost increases from reaching customers.
Nevertheless, consumers could find that
attractive discounts become less frequent or that replacing an older device costs more than expected.
Will prices keep rising into 2027?
There are reasons to believe the pressure could persist. Building new semiconductor manufacturing capacity takes time, while AI companies continue to invest heavily in data centres.
TrendForce has warned that memory supply constraints could continue into 2027, particularly for DRAM. Its outlook also suggests that different types of memory may follow different price paths as production capacity expands.
There are important uncertainties, however. If consumer demand weakens, manufacturers may struggle to pass on every increase. New production capacity, technological improvements and competition could eventually ease shortages.
Nor should every increase in the price of a computer or phone be blamed on artificial intelligence. Exchange rates, transport costs, wages, tariffs and manufacturers' pricing decisions also play a part.
Who benefits, and who pays?
The AI boom could bring substantial economic benefits. Businesses may become more productive, research could advance more quickly, and new services may improve the way people work and live.
But there is a potential contradiction. AI is being promoted partly as a way to reduce costs and improve efficiency, yet the competition to build it is increasing demand for some of the components used throughout the technology industry.
Large technology companies may be able to secure supplies through long-term contracts and substantial purchasing power. Smaller manufacturers and consumers have less influence over the market.
For households already struggling with the cost of living, higher prices for essential computers and phones would be another unwelcome pressure. Small businesses could also face higher costs when replacing equipment or upgrading their systems.
Consumers do not need to rush out and buy new devices because of fears about future shortages. If a computer or phone still works well, keeping it for longer may be sensible. Anyone who genuinely needs a replacement should compare specifications and prices carefully, including reputable refurbished products.
The wider lesson is that the AI revolution has costs as well as opportunities. The race for computing power may create fortunes and transform industries, but its benefits will be less convincing if ordinary consumers find themselves paying more for the technology they already depend upon.
The question is not whether AI will require more chips. It clearly will. The question is whether the semiconductor industry can expand supply quickly enough to meet that demand without making everyday technology increasingly unaffordable.
Further reading
https://www.reuters.com/business/retail-consumer/bytedance-alibaba-tencent-place-over-35-billion-worth-nvidia-chip-orders-2026-10-20/#
https://www.trendforce.com/presscenter/news/20260930-13258.html