Japan’s Market Boom Is Just Getting Started. 2 Big Reasons Why.

About the author: Patrick L. Springer is an institutional-equities business developer and Japan and Asia market specialist. He worked at Morgan Stanley in management roles for more than 20 years.

Japan just concluded a 34-year trek in the wilderness of deflation and ended its nearly 20-year negative interest-rate policy. The stock market has responded by achieving new all-time highs, last seen in 1989, rising 35% in the past year.

This might look like the top, but a closer look at Japan’s market suggests that the end is just the beginning for the world’s third-largest market. This year likely marks the beginning of a multiyear Japan market revival that will start a major new capital markets cycle. Japan’s companies are just beginning to celebrate a long-awaited return of pricing power supported by an enamoured global investor base looking for international ideas in a friendly market.

Investors should focus on two trends. First, new micro and macro forces are at work to make Japan a preferred non-U.S. destination for several years. With the U.S. dollar at 20-year highs, portfolio managers know that it is typically time to diversify and buy cheaper overseas markets, but where to go? Europe is cheap but challenging, and the I of India is what currently remains best of the emerging markets BRICS grouping. Exposure to Asia is important for global portfolios given it is 45% of global gross domestic product. Yet strategists say that we now live in a “multipolar world,” a euphemism for the highest level of geopolitical risks in the world in decades. This limits China investment allocations for now.

But Japan is a pre-eminent security partner for the U.S. Japan also is quickly becoming a key partner in U.S. re-shoring strategies, especially as an alternative supplier of semiconductors and technology components. The re-shoring trend is compounded by the yen’s weakness. At nearly 152 yen to the dollar, Japan’s currency is trading at the lowest ratio since 1990. That means Japan is also likely to regain market share that it lost over the past 20 years to China in automobile components, industrial products, and machinery. Status as a security partner matters to investors now, which will keep allocations to Japan higher for longer.

Second, Japan’s differentiated market structure may provide more alpha-idea opportunities than investors might expect from an older, developed economy. In the U.S., megacaps and the Magnificent Seven rule the world for investors—and for good reason, given their recent outperformance. The high level of exchange-traded fund penetration in the U.S. also favours large-caps over small- and medium-capitalisation stocks. But in Japan, the list of Japan’s largest companies remains unchanged: Excluding SoftBank, all were established pre-1960.

According to Abrdn Investments, 45% of Japan’s benchmark Topix Index of 2000 constituents have no analyst research coverage, compared with just 3% of the Russell 3000 universe for the U.S. As inflation sparks growth, earnings surprises and inflections of Japan’s under researched companies will lead to significantly higher alpha capture opportunities.

Additionally, the Japanese government and the Tokyo Stock Exchange have initiated important corporate-governance reforms, and 26% of all listed companies have submitted specific plans to improve their stock valuation. But many more companies have yet to respond, providing more opportunities for investors.

Sorting Japan’s nearly 3,900 stocks into market segments is revealing. Japanese mid-cap and small-cap stocks have lagged behind large-cap stocks by 40% and 60% year to date, respectively, and have lagged by 25% and 46% on a one-year basis.

Such underperformance by itself is one thing, but for the many investors who have never seen inflation, wage growth, and domestic sales gains in Japan, they may find a discovery universe of new stocks with interesting characteristics such as these:

Organo , a $2 billion market-cap water treatment company that has traded over $60 million a day on some days and counts Taiwan Semiconductor Manufacturing as one of its key growth customers.

Nakanishi , a $1.5 billion dental-equipment and precision-tools maker that grew sales 23% last year, sports a 2.5% yield and a 24% return on equity, and has 12% of its stock price in net cash.

Chugoku Marine Paints , a global top-three maker of marine paints that has a 20% global share and a 15% return on investment capital, sells at nearly 11 times earnings, and has a 2.6% dividend yield.

Overall, this analysis finds nearly 100 companies with a market cap above $1 billion with net cash equal to 20% or more of their stock price.

The bottom line is that Japan’s culture of innovation, combined with an end to deflation, is likely to produce a new wave of capitalisations. During the decades of deflation, corporates and consumers alike were incentivised to save more, spend less, and underinvest. But with nominal GDP growth now running at a whopping 5% and record wage growth, inflation incentivises new capital investment, stimulating a new investment-banking cycle of financing.

There are risks to this outlook. Double-digit market rallies can lead to pullbacks, and investors need to watch for threats to Japan’s inflation and currency levels and to its appetite for reform. But what’s most important for investors to realise about Japan is how much has changed there, amid a changing world.

Guest commentaries like this one are written by authors outside the Barron’s newsroom. They reflect the perspective and opinions of the authors.

A sharp technology sell-off has exposed a new anxiety on global markets: whether the enormous borrowing behind the artificial-intelligence infrastructure boom can generate sufficient returns as interest rates rise and Chinese competition intensifies.

The artificial-intelligence investment boom has powered technology shares, semiconductor manufacturers and data-centre operators to extraordinary heights. Last week, investors were given a reminder that much of this expansion is being built with borrowed money.

The technology-heavy Nasdaq Composite fell 4.5 per cent over the week ended October 16, its weakest performance since late June. Semiconductor shares suffered an even deeper correction, with the Philadelphia Semiconductor Index losing about 11.4 per cent.

The selling spread quickly through global markets. Micron Technology fell 14.6 per cent over the week, while South Korea’s Samsung Electronics and SK Hynix dropped approximately 18 per cent and 24 per cent respectively.

This was more than a routine bout of profit-taking. Investors were reassessing three interconnected risks: higher interest rates, the rapidly expanding debt burden attached to AI infrastructure and the prospect of stronger competition from Chinese memory-chip manufacturers.

The debt behind the AI build-out

Artificial intelligence requires a physical infrastructure network of enormous scale. Data centres must be built, advanced processors purchased, power supplies secured and cooling systems installed before customers begin generating meaningful revenue from them.

Technology companies are increasingly supplementing their own cash with corporate bonds, syndicated loans, equipment leases, private credit and project-level financing.

JPMorgan describes the emerging funding model as a combination of conventional corporate borrowing and project finance tied to individual data-centre assets. In Australia, the Reserve Bank estimates that syndicated loans accounted for approximately three-quarters of data-centre financing during 2025 and 2026 to date.

The numbers are becoming large enough to affect broader credit markets. The Federal Reserve Bank of Dallas has cited Wall Street estimates suggesting AI-related investment-grade bond issuance could approach US$300 billion in 2026 alone.

That borrowing is not automatically problematic. Debt can be an efficient way to finance long-lived infrastructure when future revenue is sufficiently predictable. The concern is that AI technology, customer demand and computing economics are changing much faster than the repayment schedules attached to the assets.

A data centre financed today may carry debt for years. Investors must therefore make assumptions about future utilisation rates, electricity prices, chip performance, customer concentration and the amount businesses will ultimately pay for AI computing.

When interest rates rise, those assumptions become less forgiving.

Inflation changes the calculation

September’s US inflation data intensified the pressure. Consumer prices increased 3.7 per cent over the year, ahead of market expectations and up from 3.4 per cent in August.

The hotter reading reduced confidence that interest rates would fall quickly and pushed bond yields higher. That matters particularly for companies whose valuations depend on profits expected well into the future, as well as highly leveraged infrastructure operators that may need to refinance.

CoreWeave has emerged as a closely watched test case. The specialist cloud-computing company has accumulated substantial debt and lease obligations to build AI capacity, while relying on a concentrated group of large technology customers.

Its shares fell sharply during the sell-off, while the cost of insuring its debt against default climbed. CoreWeave has argued that its contracted backlog more than covers its obligations and that financial markets do not always understand its business model. Nevertheless, its securities have become a proxy for investor confidence in debt-funded AI infrastructure.

Oracle, another major investor in AI computing capacity, fell 8.8 per cent in Friday trading, while CoreWeave dropped 15.5 per cent.

The question is shifting from how much AI infrastructure can be built to how profitably it can be operated.

China adds another source of pressure

Interest rates were not the only catalyst. Reports of advances by Chinese memory-chip producer ChangXin Memory Technologies raised concerns that lower-cost Chinese products could increase competition across the global semiconductor industry.

Memory chips are essential to AI systems, but the industry is historically cyclical. Periods of tight supply and high pricing can encourage rapid investment, eventually producing oversupply and falling margins.

The prospect of a well-funded Chinese competitor expanding its technological capabilities unsettled investors in Samsung, SK Hynix and Micron. It also demonstrated that AI-related demand does not insulate chipmakers from conventional competitive pressures.

That combination—slower rate cuts, more expensive financing and potentially cheaper supply—challenged the assumption that every company exposed to AI would enjoy continually expanding margins.

A reset rather than the end of the boom

The sell-off does not establish that the AI boom is ending. Demand for computing power remains strong, the largest technology companies continue to generate formidable cash flows and many infrastructure projects are backed by long-term customer contracts.

What has changed is the market’s willingness to overlook the price and financing structure of that growth.

The most resilient companies are likely to be those able to fund investment from operating cash flow, secure long-duration customers and demonstrate that new capacity will earn returns comfortably above its financing costs.

More speculative operators may face greater scrutiny, particularly where debt is expensive, customers are concentrated or expected revenue depends on demand that has not yet materialised.

For Australian investors, the lesson extends beyond US technology shares. Local data-centre operators, infrastructure funds, electricity suppliers and property groups are increasingly exposed to the same investment cycle.

Artificial intelligence may remain one of the defining growth themes of the decade. But last week’s correction showed that enthusiasm for the technology does not eliminate financial discipline.

The next stage of the AI boom will be judged not only by computing power, model performance or demand for chips, but by something more traditional: whether the assets being financed can generate enough cash to repay the money borrowed to build them.

Fact box

Nasdaq Composite: Down 4.5 per cent for the week ended October 16, 2026

Philadelphia Semiconductor Index: Down approximately 11.4 per cent

Micron Technology: Down approximately 14.6 per cent

Samsung Electronics: Down approximately 18 per cent

SK Hynix: Down approximately 24 per cent

US September inflation: 3.7 per cent annually

Estimated 2026 AI-related investment-grade issuance: Approximately US$300 billion