AI Stock Sell-Off Raises Questions Over the Future of the Tech Boom

The excitement surrounding artificial intelligence has propelled some of the world’s largest technology companies to record valuations, despite their spending hundreds of billions of dollars developing the infrastructure needed to power the technology.

However, recent weeks have seen a sharp decline in the share prices of several companies supplying AI’s essential building blocks, prompting renewed debate over whether the much-discussed “AI bubble” is beginning to deflate.

Among the hardest hit have been South Korea’s leading semiconductor manufacturers. Shares in SK Hynix and Samsung Electronics have fallen by 46% and 35%, respectively, over the past month, as investors question whether the recent surge in demand for AI chips can be sustained.

Even so, both companies remain significantly higher than they were a year ago, with SK Hynix shares up roughly threefold and Samsung’s increasing around fivefold over the same period. Many analysts argue that a period of profit-taking after such exceptional gains was both expected and healthy.

Although South Korea’s stock market is known for its volatility, investor concerns have spread to major U.S. technology firms.

Last week, shares in Alphabet (Google) and Tesla briefly declined after both companies announced plans to increase AI investment by billions of dollars, despite those investments not yet generating meaningful financial returns. Their share prices later recovered.

Attention has now shifted to upcoming earnings reports from Meta, Microsoft, and Amazon, as investors closely examine how aggressively these companies continue to invest in artificial intelligence.

“There remains a healthy degree of scepticism about whether these investments will ultimately generate sufficient returns,” said Russ Mould, Investment Director at AJ Bell.

Technology investor Eileen Burbidge believes the market is experiencing a correction rather than a collapse.

Chinese Breakthrough Adds Pressure

Investor concerns have also been fuelled by reports that a Chinese technology company has achieved a significant breakthrough in semiconductor manufacturing, potentially reducing China’s reliance on foreign chip suppliers.

This development has intensified questions about whether leading AI firms—including Meta, Alphabet, OpenAI, and Anthropic—will be able to generate enough revenue from AI services to justify the enormous investments being made in chips, data centres, and computing infrastructure.

As a result, announcements of increased AI spending are no longer being welcomed with the same enthusiasm by investors.

Meanwhile, Apple, which has taken a more cautious approach to AI than many of its rivals, has seen its shares rise by 21% over the past month, allowing it to regain its position as the world’s most valuable listed company from chip giant Nvidia.

At the same time, London’s FTSE 100—sometimes referred to as the “anti-tech index” because of its limited exposure to technology stocks—briefly reached a record high, benefiting from the recent weakness in global technology shares.

Growing Risks

History shows that investors can lose money even when the technology they back ultimately transforms the world.

The rapid expansion of the railway industry is one example: while railways revolutionised economies, many investors suffered heavy losses during periods of excessive speculation.

Artificial intelligence may face similar challenges. Unlike railway infrastructure, AI data centres require continual upgrades as newer, more powerful processors become available, increasing long-term costs.

Additional concerns include the complex financial relationships between major AI companies, many of which have invested in or provided funding to one another. Critics warn that this interconnected financing could amplify the impact of any significant setbacks.

AI is also facing increasing political and public opposition.

Several national, regional, and local governments have delayed, restricted, or blocked new data centre developments due to concerns over their substantial electricity consumption and water usage.

Meanwhile, some prominent AI advocates have faced criticism from students and workers worried that the technology could replace many graduate-level and professional jobs.

Outlook Remains Positive

Despite the recent market volatility, Eileen Burbidge remains optimistic.

“I see the glass as half full. Anyone who invested in chip manufacturers a year ago has still achieved substantial gains,” she said.

While enthusiasm for artificial intelligence remains strong, investors are now applying far greater scrutiny to corporate spending plans and demanding clearer evidence that the enormous investments being made today will deliver sustainable profits in the future.