Bank of Japan Raises Rate, Halts Emergency Policies

TOKYO—The Bank of Japan on Tuesday ended negative interest rates after eight years and unwound most of its unorthodox monetary easing policies, saying a new era of stable inflation is in sight in Japan.

The decision marks the end of a global era of negative interest rates that began in the 2010s. Other central banks that had introduced negative rates in the 2010s, including the European Central Bank and the Swiss National Bank , have already moved back into positive territory amid inflation triggered by the Covid-19 pandemic and the war in Ukraine.

For a generation, the Japanese central bank served as a laboratory for monetary-policy experimentation as it addressed the country’s chronic stagnation, which was marked by flat or falling prices.

On Tuesday, BOJ Gov. Kazuo Ueda said those policies have fulfilled their roles and the principal ones will be ended. The Bank of Japan is moving its key target for short-term rates to a range of 0% to 0.1%, its first rate increase since 2007.

Ueda said the move was justified by steadily rising wages and prices in Japan. The central bank “judged that sustainable and stable achievement of our 2% inflation goal has come into sight,” he said.

The BOJ said it removed a target for the yield on 10-year Japanese government bonds. And it is halting its purchases of assets such as stocks, real-estate investment trusts and corporate bonds that don’t typically go onto the books of central banks. The Bank of Japan has amassed the equivalent of hundreds of billions of dollars in such assets since the global financial crisis of 2008-09.

Market reaction was restrained because Bank of Japan officials had telegraphed their intentions. The Nikkei Stock Average closed up 0.7%, while the yen was down.

The Bank of Japan, which had maintained a negative policy rate since 2016, said it would continue buying government bonds.

“Accommodative financial conditions will likely continue, and these accommodative financial conditions will firmly support the economy and prices,” Ueda said at a news conference. He said he didn’t expect to raise interest rates rapidly.

Prime Minister Fumio Kishida welcomed the continuation of easy money, saying it was too soon to declare an end to deflation.

The BOJ had already begun to ease away from its unconventional policies. In September 2016, it set a target of around zero for the yield on 10-year government bonds. After initially enforcing that target strictly, the bank last year loosened its control , allowing the yield to move higher amid a surge in global bond yields. As of late Tuesday, the 10-year yield was 0.725%.

The Bank of Japan’s move to restore traditional monetary policy tools is one example of how Japan’s economy has recently reverted to conditions not seen in more than three decades.

In February, the Nikkei Stock Average hit a record for the first time in 34 years. Japan’s largest labor union said last week that major companies are planning to raise pay by an average of 5.28% this year, the largest increase since 1991.

However, the Bank of Japan’s economic assessment pointed to some warning signs. With China’s economy struggling recently , the BOJ said Japan’s economy “is expected to be under downward pressure stemming from a slowdown in the pace of recovery in overseas economies.”

Two of the BOJ’s nine-member policy board dissented from the decision to end negative rates, saying the economy’s recovery was too fragile to allow for a rate increase.

Katsutoshi Inadome, senior strategist at SuMi Trust, said the BOJ probably saw a window to act after the recent good news on wages, but he said there was a chance Tuesday’s rate increase was premature.

“In a textbook approach, this is timing the bank would have done better to avoid,” Inadome said. He pointed to sluggish consumption in Japan, which Ueda acknowledged as a risk.

Ueda said if the economy received shocks in the future, the central bank would consider using policy tools it has used previously.

“The Bank of Japan is unlikely to make additional rate increases because there will gradually appear more headwinds such as the lack of strength in prices,” said Mizuho Securities chief market economist Yasunari Ueno.

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