For much of the past three years, the investment case for artificial intelligence appeared remarkably simple. Companies needed more computing power, data centres required more advanced processors, and those processors depended on an increasingly sophisticated network of semiconductor manufacturers.

Asia stood at the centre of that transformation.

Taiwan produces the world’s most advanced logic chips. South Korea dominates the market for memory used in artificial intelligence systems. Malaysia, Vietnam and India are investing heavily to capture a larger share of the semiconductor supply chain. China, meanwhile, is trying to build a technological ecosystem that can function despite growing restrictions on its access to Western equipment.

The industrial expansion is genuine. Revenues are rising, factories are operating at high levels of utilisation, and demand for advanced chips remains extremely strong.

Yet financial markets are beginning to send a more complicated message.

Some of Asia’s leading semiconductor companies have recently published extraordinary earnings, only to see their shares fall. Foreign investors have started reducing their exposure to Taiwan and South Korea. Market indices have become increasingly dependent on a small number of technology companies, while concerns about excessive capital expenditure are becoming more difficult to ignore.

The question is no longer whether artificial intelligence will transform the economy. It almost certainly will.

The more difficult question is whether investors are paying too much, too early, for that transformation.

When exceptional results disappoint investors

One of the clearest warning signs appeared in South Korea at the beginning of July.

Samsung Electronics estimated that its operating profit reached 89.4 trillion won in the second quarter of 2026, compared with only 4.7 trillion won during the same period one year earlier. Revenue was expected to reach approximately 171 trillion won.

Those results would normally be celebrated as evidence of a historic recovery. Instead, Samsung’s shares finished the trading session almost 7 percent lower. SK Hynix also fell by around 6 percent, while the KOSPI index lost close to 5 percent.

The decline did not happen because Samsung’s business had suddenly deteriorated. It happened because investors had already expected something extraordinary.

Memory prices had risen sharply during the quarter. According to estimates cited by Reuters, average selling prices for DRAM increased by approximately 44 percent from the previous quarter, while NAND prices rose by about 53 percent.

Samsung’s profit was therefore exceptional, but it was no longer surprising.

This distinction is important. A company can report strong earnings and still become a disappointing investment when its share price already assumes years of almost perfect execution.

Financial markets are not simply measuring whether a business is growing. They are measuring whether that growth is faster than investors had already imagined.

In the early stages of the artificial intelligence rally, companies were rewarded simply for being exposed to chips, data centres or advanced memory. Today, the standard is much higher. Investors want to know whether current profit margins can be maintained, whether cloud companies will continue spending at the same pace, and whether new production capacity will eventually weaken prices.

The market is no longer asking whether the boom exists. It is asking how long the most profitable phase can last.

TSMC remains the essential company in the AI economy

Taiwan Semiconductor Manufacturing Company continues to occupy a unique position in the global technology industry.

The company manufactures advanced processors for many of the world’s most important semiconductor designers. Its factories produce chips used in artificial intelligence accelerators, smartphones, servers and high performance computing systems.

TSMC reported first quarter revenue of approximately NT$1.134 trillion, an increase of 35 percent from the same period one year earlier. Net profit rose by 58 percent to a record NT$572.5 billion.

Advanced three nanometre chips represented one quarter of the company’s revenue, compared with only 6 percent in the third quarter of 2023. This rapid increase illustrates how quickly the semiconductor industry is moving towards more complex and expensive manufacturing processes.

TSMC also raised its expectations for the year. Management forecast revenue growth of more than 30 percent in United States dollar terms and indicated that capital expenditure would probably reach the upper end of its range between $52 billion and $56 billion.

For the second quarter, the company projected revenue between $39 billion and $40.2 billion. Its next earnings announcement, scheduled for July 16, will provide one of the most important tests of market confidence in the artificial intelligence investment cycle.

The company’s competitive advantages remain formidable. Its manufacturing technology is extremely difficult to reproduce, its relationships with customers are deeply established, and demand for its most advanced production lines remains strong.

Even so, TSMC is not completely protected from market risk.

Its share price increasingly reflects the expectation that artificial intelligence demand will remain exceptionally strong for many years. Any sign of slower customer spending, weaker pricing power or delays in the construction of data centres could therefore produce a significant reaction.

An excellent company does not automatically represent an excellent investment at every valuation.

That is the tension now surrounding TSMC. Few investors doubt its industrial strength. The debate concerns how much of its future success is already included in the price.

South Korea has become the centre of the memory cycle

While Taiwan dominates advanced logic chip production, South Korea has become indispensable to the memory systems required by artificial intelligence.

The most important product is high bandwidth memory, commonly known as HBM. These memory chips are placed close to advanced processors and allow enormous quantities of data to move quickly through an artificial intelligence system.

Without sufficient memory bandwidth, even the most powerful processor cannot operate efficiently.

SK Hynix recognised this opportunity earlier than many of its competitors. Its long term investment in HBM placed it in a strong position when demand for artificial intelligence accelerators increased after 2022.

The company is now one of the most important suppliers in Nvidia’s production ecosystem. Its success has transformed the competitive balance of the South Korean technology industry and, for a period in June, allowed its market value to exceed that of Samsung Electronics.

Investor enthusiasm has been extraordinary. SK Hynix’s shares rose approximately 680 percent over the year preceding its United States listing. Its American depositary receipt offering reportedly raised around $26.5 billion and attracted demand several times greater than the available supply.

This money will help finance new factories and production equipment. It also illustrates the scale of investor confidence in the future of artificial intelligence memory.

The company itself remains highly optimistic. SK Hynix chief executive Kwak Noh jung recently predicted that the global memory industry could experience an even more severe supply shortage in 2027. He also suggested that demand might continue exceeding production capacity beyond 2030.

These forecasts support the argument that the current semiconductor cycle is based on real industrial constraints rather than pure speculation.

But they also reveal one of the central risks.

When companies expect demand to remain higher than supply for many years, they invest aggressively. Samsung and SK Hynix are planning enormous additions to manufacturing capacity. Governments are providing subsidies, infrastructure and political support. Investors are supplying capital at increasingly favourable conditions.

If demand continues expanding rapidly, these investments may be necessary.

If demand slows, even temporarily, the same projects could create excess supply.

Memory has always been a cyclical industry. Periods of shortage encourage investment, investment creates capacity, and additional capacity eventually puts pressure on prices.

Artificial intelligence may extend the current cycle, but it has not abolished the economic laws that shaped previous semiconductor booms.

Emerging market indices are becoming less diversified

The artificial intelligence rally has changed the structure of emerging market investing.

Taiwan and South Korea together represented around half of the MSCI Emerging Markets Index by the end of June. Information technology has therefore become an unusually large driver of performance across portfolios that are often presented as geographically diversified.

This creates a potential misunderstanding for investors.

Someone purchasing a broad emerging market fund may believe they are spreading their money across consumer businesses, banks, energy companies and industrial groups operating in dozens of countries.

In reality, a significant part of their performance may depend on TSMC, Samsung and SK Hynix.

This concentration has produced spectacular returns during the semiconductor rally. It can also amplify losses when sentiment changes.

Foreign investors appear increasingly aware of that risk. Reuters reported that international funds sold approximately $137.36 billion of Asian equities during the first half of 2026, the fastest pace recorded in at least sixteen years.

South Korea experienced around $70.8 billion of net foreign outflows, while Taiwan recorded approximately $29.6 billion.

These movements do not necessarily mean that global investors have lost faith in artificial intelligence. Much of the selling probably reflects profit taking after an exceptional rally.

The KOSPI nearly doubled during the first half of the year, while Taiwan’s equity market gained more than 60 percent. Portfolio managers naturally began reducing positions that had become too large relative to the rest of their holdings.

Still, the outflows represent an important change in market psychology.

Investors are starting to distinguish between believing in artificial intelligence and continuing to purchase the same companies at any price.

The bubble is more visible in expectations than in earnings

It would be inaccurate to compare every Asian semiconductor company with the speculative internet businesses of the late 1990s.

TSMC, Samsung and SK Hynix are not companies built only on promises. They possess valuable factories, advanced technology, strong customer relationships and substantial cash flows.

Their earnings are real.

The bubble risk exists elsewhere. It can be found in the assumption that current growth rates, profit margins and memory prices will continue without interruption.

This is where a genuine technological revolution can become a dangerous financial narrative.

The internet transformed the global economy, but many companies connected to the internet were still terrible investments during the technology bubble. Railway construction changed the nineteenth century, but excessive enthusiasm also produced bankruptcies and financial crises.

A technology can be revolutionary while its associated assets become overpriced.

Artificial intelligence could follow the same pattern.

The technology may generate enormous long term productivity gains. At the same time, some companies may build too many data centres, purchase more computing capacity than they can use profitably, or invest in semiconductor production that eventually exceeds demand.

The weakest businesses will probably not be the established industry leaders. The greater danger may lie among suppliers whose valuations depend on permanently rising chip prices, a small number of customers or continued access to cheap financing.

Companies without clear pricing power could struggle if the market enters a period of slower growth.

Malaysia, Vietnam and India are searching for their place

The semiconductor opportunity extends beyond Taiwan and South Korea.

As artificial intelligence chips become more complex, the process of assembling and connecting different components has become increasingly important. This activity, known as advanced packaging, allows several specialised chips to function together as a single system.

Malaysia already has a significant position in semiconductor assembly, testing and packaging. The country exports approximately 13 percent of the world’s packaged chips and is trying to move towards higher value activities such as chip design and advanced packaging.

The Malaysian government aims to attract at least 500 billion ringgit in semiconductor investment by 2030. The strategy is supported by public incentives and investment from major international companies.

Malaysia’s opportunity is credible because the country already has decades of experience in electronics manufacturing. It possesses established industrial zones, skilled workers and relationships with global semiconductor groups.

However, the transition from traditional assembly to advanced packaging will require continued investment in engineering, automation and infrastructure.

Vietnam is following a similar path.

Foreign companies are expanding chip assembly and testing operations in the country as they seek to diversify production beyond China. Amkor and Hana Micron are among the companies investing in new facilities.

Vietnam’s share of global assembly, testing and packaging capacity could rise from approximately 1 percent in 2022 to between 8 and 9 percent by 2032, according to projections from the Semiconductor Industry Association and Boston Consulting Group.

This growth would represent a major industrial achievement. It would not, however, immediately transform Vietnam into a competitor to TSMC in advanced manufacturing.

The distinction between semiconductor activities remains essential. Packaging and testing can create employment, exports and technological knowledge, but producing the world’s most advanced processors requires a much deeper ecosystem.

India has even greater ambitions.

The government has introduced large financial incentives to attract semiconductor manufacturing. Several projects are now under development, including a Tata Electronics facility in Gujarat valued at around $14 billion.

Intel and 3D Glass Solutions have also announced plans for a substrate manufacturing facility in Odisha, with expected investment of approximately $3.3 billion.

India offers a large domestic market, a deep pool of engineering talent and strong political support. Yet semiconductor manufacturing demands reliable electricity, enormous quantities of clean water, specialised suppliers and consistent execution over many years.

Government announcements alone will not guarantee success.

The most realistic opportunities for emerging Asian economies may initially be found in packaging, testing, substrates, industrial automation, cooling systems, power infrastructure and specialised materials.

These activities receive less attention than advanced chip fabrication, but they are essential to the expansion of artificial intelligence.

China is building a parallel semiconductor ecosystem

China adds another layer of complexity to the Asian semiconductor story.

Restrictions on the export of advanced chips and manufacturing equipment have encouraged Chinese companies to develop domestic alternatives. The government considers semiconductor independence a matter of economic and national security.

Chinese artificial intelligence company DeepSeek is reportedly working on its own inference chip. Other local companies are investing in processors, memory, manufacturing equipment and semiconductor design software.

This effort could create important investment opportunities. Chinese suppliers that successfully replace foreign technology may gain access to a large and strategically protected domestic market.

The risks are equally significant.

Government support can encourage too many companies to pursue similar projects. Capital may be directed towards politically attractive facilities that are not commercially competitive. Restrictions on access to advanced equipment could also slow progress and increase production costs.

The result may be a more fragmented global semiconductor market.

Western companies, Chinese manufacturers and regional Asian suppliers could increasingly operate within separate technological ecosystems. Such fragmentation would reduce efficiency, but it would also require governments and businesses to spend more money duplicating supply chains.

For investors, geopolitics is no longer an external consideration. It has become part of the semiconductor business model.

Export controls, tariffs, subsidies and national security reviews can determine which companies are allowed to sell their products, purchase equipment or build factories in particular countries.

What investors should watch next

The most important factor remains spending by the world’s largest cloud and technology companies.

Demand for semiconductors ultimately depends on whether companies can generate sufficient revenue from artificial intelligence services to justify their infrastructure investments.

During the first phase of the boom, the objective was to secure as much computing capacity as possible. Competition between major technology groups encouraged rapid construction, even before the financial returns were fully understood.

The next phase will be different.

Executives and shareholders will increasingly demand evidence that artificial intelligence products can generate attractive returns. If revenue growth disappoints, capital expenditure could be reduced.

Such a slowdown would affect the entire Asian supply chain, from advanced chip manufacturing in Taiwan to memory production in South Korea and packaging operations across Southeast Asia.

Investors should also monitor the pace at which new semiconductor capacity becomes available.

Factories take years to construct, which means today’s investment decisions will influence supply well into the future. If several large projects begin production at the same time, shortages could disappear faster than expected.

Power availability is another critical constraint.

Artificial intelligence data centres consume enormous amounts of electricity. Chip manufacturing also requires stable power, extensive cooling and significant water resources. Countries that cannot expand their infrastructure may struggle to transform announced projects into profitable operations.

Finally, valuations will matter more than ever.

The strongest semiconductor companies may continue reporting excellent results. Their shares can still decline if those results fail to exceed expectations.

A real revolution with bubble characteristics

The Asian artificial intelligence boom should not be dismissed as an illusion.

Demand for computing power is real. Semiconductor companies are generating record revenue. High bandwidth memory remains difficult to produce, advanced manufacturing capacity is limited, and countries across Asia are investing to strengthen their position in the supply chain.

At the same time, the market is showing clear signs of excess.

Performance has become concentrated in a small number of companies. Foreign investors are reducing exposure after enormous gains. Governments and corporations are announcing increasingly ambitious investment programmes. Most importantly, share prices are beginning to fall even after companies report exceptional earnings.

This does not prove that the bubble is about to burst.

It suggests that the easiest phase of the rally may be over.

The next stage will reward companies that possess sustainable pricing power, strong balance sheets, diversified customers and technologies that competitors cannot easily reproduce.

It will be less forgiving towards businesses that depend on permanently rising memory prices or uninterrupted investment in artificial intelligence infrastructure.

Artificial intelligence may remain the defining technological theme of the decade. Asia will remain at the centre of its physical supply chain.

But the recent behaviour of semiconductor markets offers a necessary reminder.

A revolutionary technology can change the world without making every investment connected to it profitable.

At this stage of the cycle, discipline matters more than enthusiasm.

This article is provided for informational purposes only and does not constitute investment advice.

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