The first half of the year belonged to one investment theme: artificial intelligence (AI). Investors around the world rushed into companies expected to benefit from the AI revolution, driving semiconductor manufacturers, cloud providers, and AI infrastructure firms to record highs. From Wall Street to Seoul, AI became the dominant force behind equity market performance, with soaring valuations fuelled by expectations of explosive growth and unprecedented capital expenditure (capex) by the world’s largest technology companies.
However, recent weeks have brought a sharp change in sentiment. Technology stocks have come under pressure globally, with South Korea’s KOSPI Index leading the decline as heavyweight semiconductor manufacturers Samsung Electronics and SK Hynix suffered significant losses. Their share price weakness has echoed across global markets, triggering a broader sell-off in AI-related technology stocks and raising questions about whether investors have become overly optimistic about the future of AI spending.
The recent pullback has reignited a familiar debate: is the AI boom turning into a bubble, or is the market simply undergoing a healthy correction after an extraordinary rally?
Based on ShareInvestor data, the KOSPI Index wiped out more than 30% of its gains in July.
The AI Investment Boom
The launch of generative AI applications transformed the technology landscape. Companies such as Microsoft, Meta, Alphabet, Amazon, and Oracle accelerated investments in AI infrastructure, committing hundreds of billions of dollars to build data centres, acquire Nvidia GPUs, expand cloud capacity, and secure advanced memory chips.
This spending wave created enormous demand across the semiconductor supply chain. Nvidia emerged as the biggest winner, while suppliers such as Samsung Electronics, SK Hynix and Taiwan Semiconductor Manufacturing Company (TSMC) also benefited from surging orders for AI chips and high-bandwidth memory (HBM).
Investors quickly priced in years of sustained growth. AI-related companies consistently outperformed the broader market, with many trading at valuations that assumed demand would continue rising at an exceptional pace.
Why Markets Are Turning Cautious
The recent correction reflects growing concerns that AI-related capital expenditure may not continue accelerating indefinitely.
While the world’s largest technology companies remain committed to AI investments, investors are beginning to question whether the returns can justify the enormous spending. Building AI infrastructure requires billions of dollars in annual investment, yet many AI applications are still in the early stages of commercialisation. The challenge is no longer whether AI has transformative potential—it is whether companies can generate enough revenue and profit to support today’s aggressive spending levels.
These concerns have weighed heavily on Samsung Electronics and SK Hynix, whose businesses are closely tied to AI server demand. As two of the world’s largest suppliers of AI memory chips, both companies are particularly vulnerable to any slowdown in expectations for AI infrastructure investment. Their share price declines have dragged the broader KOSPI lower and dampened sentiment across the global semiconductor sector.
Wall Street Also Feels the Pressure
The cautious sentiment has not been limited to Asia. Wall Street has also experienced a broad technology sell-off as investors reassess the sustainability of AI-driven earnings growth.
Nvidia, Broadcom, Advanced Micro Devices (AMD), and Micron Technology all retreated as investors took profits following an extended rally. The Philadelphia Semiconductor Index (SOX), which had significantly outperformed broader equity markets earlier this year, has also corrected as expectations for AI infrastructure spending became more measured.
Rather than questioning AI itself, investors are asking a more practical question: when will these enormous investments begin translating into sustainable earnings and free cash flow?
Based on ShareInvestor data, Nvidia’s share price fell by more than 9% this week.
Bubble or Healthy Correction?
Although comparisons with the dot-com bubble have become increasingly common, today’s AI market is fundamentally different.
During the late 1990s, many internet companies commanded multi-billion-dollar valuations despite having little revenue or viable business models. Much of the investment was speculative, built on expectations rather than proven profitability.
Today’s AI leaders are considerably stronger. Nvidia, Microsoft, Alphabet, Amazon, Meta, and TSMC generate billions of dollars in annual profits while serving genuine enterprise demand. Their investments are backed by robust balance sheets, recurring revenues, and established customer bases.
That said, valuations have undoubtedly become stretched in certain parts of the market. Investors priced AI beneficiaries for near-perfect execution, leaving little room for disappointment. When expectations become excessively optimistic, even strong companies can experience significant share price corrections if growth merely slows rather than accelerates.
Viewed in this context, the recent sell-off appears less like the bursting of a speculative bubble and more like a valuation reset.
What Investors Should Watch Next
The coming quarters will be crucial for determining the next phase of the AI story.
Investors will closely monitor whether AI investments translate into stronger earnings, improved productivity, and sustainable revenue growth. Quarterly results from hyperscalers will be scrutinised not only for earnings performance but also for commentary on future AI capital expenditure. Any indication that spending is slowing faster than expected could trigger further market volatility.
Conversely, if companies demonstrate that AI investments are generating measurable financial returns, investor confidence could quickly recover.
Long-term investors may also view the current weakness as an opportunity. Market corrections often remove speculative excesses, allowing fundamentally strong companies to trade at more reasonable valuations while creating healthier entry points for patient investors.
Looking Ahead
Every major technological revolution experiences periods of excitement, correction, and reassessment. The internet, smartphones, cloud computing, and electric vehicles all experienced episodes of excessive optimism before eventually becoming integral parts of the global economy.
Artificial intelligence is likely following a similar path.
While investor enthusiasm earlier this year may have pushed certain technology stocks beyond their fundamental valuations, the recent sell-off does not necessarily signal the end of the AI boom. Instead, it represents a shift in market focus—from ambitious promises to measurable financial performance.
The AI revolution remains intact. What has changed is that investors are becoming more disciplined, demanding proof that the hundreds of billions of dollars being invested today will produce sustainable profits tomorrow. If companies can deliver on those expectations, the current correction may ultimately be remembered not as the collapse of an AI bubble, but as a healthy reset that laid the groundwork for the next stage of long-term growth.