Finance

AI Boom Squeezes Chip Supply as Consumer Spending Rises

Automakers, retailers and telecommunications groups are warning that a growing shortage of memory chips could drive up prices for cars, smartphones and internet services, as AI data centers use a growing share of the world’s semiconductor supply.

In a letter sent Wednesday to the U.S. Treasury and Commerce Department, industry groups said “severe imbalances” persist in the memory-chip market. The parties argue that the rapid expansion of intelligence infrastructure is consuming so much production capacity that consumer goods manufacturers are facing rising costs and tight supply.

Businesses in many sectors are now competing with some of the biggest technology companies in the world for access to key segments. What started as a race to build powerful AI systems is beginning to affect industries that consumers interact with every day.

Memory chips may not attract the attention of advanced processors that power AI models, but they are essential to modern life. They live inside smartphones, cars, medical devices, communication networks and many other household electronics. When the supply is tight, the results rarely stay in one industry.

The groups behind the book say the difficulties are already apparent. They reported the rising costs of electronic and information technology products, as well as the growing challenges of Internet and telecommunications infrastructure. Manufacturers also warn of the dangers of the production and supply of cars, medical equipment and other goods that rely on a continuous flow of semiconductor components.

For many manufacturers, the math gets complicated. Some companies can absorb higher component costs and accept weaker margins. Others will try to surpass those increase in customers. Either way, the burden is on the economy, whether it’s on the company’s budget, the household budget or both.

Many families are already very cautious after several years of high prices and high borrowing costs. Further increases in the cost of smartphones, connected devices or cars can encourage consumers to delay upgrades and postpone major purchases. Those decisions may seem small in themselves, but for millions of households they can reduce demand and create new challenges for manufacturers and retailers.

One of the first cracks comes from the smartphone market. Counterpoint Research this week reported the sharpest annual contraction on record for global smartphone shipments, citing a worsening shortage of memory chips. Low-cost devices appear to be particularly vulnerable as manufacturers direct available supply to higher-end products while AI-related demand continues to absorb capacity.

The shortage reveals a trade-off that has received far less attention than the excitement surrounding AI. Technology companies spend hundreds of billions of dollars on data centers, servers and computing infrastructure. Investors are more focused on the opportunities created by that investment. Little attention has been paid to the consequences when the supply chain supporting such expansion is struggling to keep pace.

Protecting the chips becomes a problem in itself. Manufacturers cannot easily schedule production when critical components are hard to find, and uncertainty about supplies often affects investment decisions, inventory planning, and hiring plans. Businesses tend to be more cautious when their visibility deteriorates, especially in industries that are already facing sluggish consumer spending and tighter restrictions.

The United States has invested heavily in domestic semiconductor production in an effort to strengthen supply chains and reduce dependence on foreign manufacturing. But industry groups argue that AI-related demand is growing so fast that supplies remain difficult despite those efforts.

Consumers may initially experience difficulties with higher prices, fewer choices on store shelves or delayed product launches. Industry groups argue that those results are no longer theoretical. The competition for memory chips is already widespread AI infrastructure and in industries that provide many of the products and services that people rely on every day.

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