Is China’s Economic Predicament as Bad as Japan’s? It Could Be Worse
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Is China’s Economic Predicament as Bad as Japan’s? It Could Be Worse

From demographics to decoupling, China faces challenges Japan didn’t after its 1980s bubble

By STELLA YIFAN XIE
Tue, Sep 19, 2023 8:51amGrey Clock 4 min

HONG KONG—Starting in the 1990s Japan became synonymous with economic stagnation, as a boom gave way to lethargic growth, declining population and deflation.

Many economists say China today looks similar. The reality: In many ways its problems are more intractable than Japan’s. China’s public debt levels are higher by some measures than Japan’s were and its demographics are worse. The geopolitical tensions that China is dealing with go beyond the trade frictions Japan once faced with the U.S.

Another headwind: China’s government, which has been cracking down on the private sector in recent years, seems ideologically less inclined than Tokyo was then to support growth.

None of this means China is sure to repeat the years of economic stagnation that Japan is only now showing signs of exiting. It has some advantages that Japan didn’t. Its economic growth in coming years is likely to be well above Japan’s in the 1990s.

Even so, economists say the parallels are a warning for Communist Party leaders in Beijing: If they don’t act more forcefully, the country could get stuck in a protracted period of economic sluggishness similar to Japan’s. Despite piecemeal steps in recent weeks, including modest interest-rate cuts, Beijing has held back on major stimulus to revive growth.

“China’s policy responses so far could put it on track for ‘Japanification,’” said Johanna Chua, chief Asia economist at Citigroup. She believes China’s overall growth prospects could be slowing more sharply than Japan’s.

China today and Japan 30 years ago share many similarities, including high debt levels, an aging population and signs of deflation.

During a long postwar economic expansion, Japan became an export powerhouse that American politicians and corporate executives worried would be unstoppable. Then in the early 1990s, real estate and stock market bubbles burst and the economy hit the skids.

Policy makers cut interest rates to virtually zero, but growth failed to rebound as consumers and companies focused on repaying debt to repair their balance sheets instead of borrowing to finance new spending and investment.

Richard Koo, an economist at the research arm of Japanese investment bank Nomura Securities, famously coined the term “balance sheet recession” to describe the phenomenon.

China, too, has seen a property bubble pop after years of extraordinary economic growth. Chinese consumers are now paying off mortgages early, despite government efforts to get them to borrow and spend more.

Private firms are also reluctant to invest despite lower interest rates, stirring anxiety among economists that monetary easing might be losing its potency in China.

By some measures, China’s asset bubbles aren’t as big. Morgan Stanley estimates that China’s ratio of property value to gross domestic product peaked at 260% in 2020, up from 170% of GDP in 2014; home prices have only fallen slightly since the peak, according to official data. China’s equity markets hit a recent peak of 80% of GDP in 2021 and now sit at 67% of GDP.

In Japan, land values as a percentage of GDP reached 560% of GDP in 1990 before falling back to 394% by 1994, Morgan Stanley estimates. The Tokyo Stock Exchange’s market capitalisation rose to 142% of GDP in 1989 from 34% in 1982.

Also in China’s favour, its urbanisation rate is lower, standing at 65% in 2022, versus Japan’s, which was at 77% in 1988. That could give China more potential to raise productivity and growth as people move to cities and take on nonagricultural jobs.

China’s tighter control over its capital markets means the risk of a sharp appreciation of its currency, which would harm exports, is low. Japan had to deal with a sharp increase in its currency several times in recent decades, which at times added to its economic struggles.

“We believe worries on China being trapped in a balance sheet recession are overdone,” economists from Bank of America recently wrote.

Yet in other ways, China’s problems will be harder to tackle than Japan’s.

Its population is ageing faster; it began to decline in 2022. In Japan, that didn’t happen until 2008, nearly two decades after its bubble burst.

Worse, China appears to be entering a period of weaker long-term growth rates before reaching rich-world status, i.e. it is getting old before it gets rich: China’s per capita income was $12,850 in 2022, much lower than Japan in 1991 at $29,080, World Bank data shows.

Then there is the problem of debt. Once off-balance-sheet borrowing by local governments is factored in, total public debt in China reached 95% of GDP in 2022, compared with 62% of GDP in Japan in 1991, according to J.P. Morgan. That limits authorities’ ability to pursue fiscal stimulus.

External pressures also appear to be tougher for China. Japan faced a lot of heat from its trading partners, but as a military ally of the U.S., it never risked a “new Cold War”—as some analysts now describe the U.S.-China relationship. Efforts by the U.S. and its allies to block China’s access to advanced technologies and reduce reliance on Chinese supply chains have sparked a plunge in foreign direct investment into China this year, which could significantly slow growth in the long run.

Many analysts worry Beijing is underestimating the risk of long-term stagnation—and doing too little to avoid it. Moderate cuts to key interest rates, lowering down payment ratios for apartments and recent vocal support for the private sector have done little to revive sentiment so far. Economists including Xiaoqin Pi from Bank of America argue that more coordinated easing in fiscal, monetary and property policies will be needed to put China’s growth back on track.

But President Xi Jinping is ideologically opposed to increasing government support for households and consumers, which he derides as “welfarism.”



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OpenAI Scraps Release of New AI Model Over Safety Concerns

OpenAI has shelved the planned launch of GPT-6.1 Astra after internal tests raised concerns about deception and agents acting beyond user authorization, according to The Wall Street Journal. The company says it will investigate the issues and strengthen safety measures before releasing future models.

By Maxwell Zeff
Tue, Sep 29, 2026 4 min

OpenAI says it is scrapping the release of its next-generation AI model over safety concerns that researchers raised during internal testing, in one of the clearest signs so far that agent misbehavior could stymie the industry’s rapid progression.

The move follows a summer punctuated by reports of artificial-intelligence systems industrywide going rogue, and marks a rare case of a major AI developer ditching a new release because of safety concerns.

The company had planned to launch the model, known as GPT-6.1 Astra, in the coming days or weeks, aiming for an October debut. The model was more capable than the company’s previous models in completing challenging tasks from end-to-end without human assistance, as well as writing.

The company instead will focus on improving the safety of future models, which it expects to be even more capable.

Saachi Jain, OpenAI’s head of safety systems, said in an interview that GPT-6.1 Astra regressed in two areas. Compared with its predecessor, GPT-6 Astra, the model performed poorly on tests measuring alignment, or how well the model adheres to what humans would like it to do. Specifically, GPT-6.1 Astra showed higher levels of deception: It wasn’t always honest about telling users of the actions it did or didn’t take.

Another issue was what OpenAI calls “scope authorization,” meaning that GPT-6.1 Astra would push ahead on a task without asking the user for permission, and would at times reach for external tools and services even if it might be unsafe.

“For anything regarding safety and alignment, there’s a trade off,” Jain said. “You really do need to find what’s the right line between staying within scope, but also avoiding laziness in terms of how the model actually pursues tasks even when it hits friction.”

OpenAI CEO Sam Altman attended a United Nations Security Council meeting about AI last week. Alexi J. Rosenfeld/Getty Images

While GPT-6.1 Astra improved in areas such as “model laziness,” Jain said it didn’t quite meet OpenAI’s bar for safety and alignment, so the company decided not to launch the model publicly.

The announcement comes one day ahead of OpenAI’s annual developer conference in San Francisco. In the past, OpenAI has used the conference as an opportunity to launch new models and services that reduce costs for software developers—a segment the ChatGPT-maker competes with rival AI company Anthropic to win over.

In recent weeks, OpenAI and Anthropic have called on industry partners to slow down the development of cutting-edge AI models and invest in safety standards, noting they will temper the pace of their own internal AI progress.

OpenAI says it is working to investigate a range of agent security incidents that it has discovered in recent months, and address the safety issues underneath them. As part of the work, the company has implemented a new monitoring system to catch AI-agent misbehavior more quickly, and started requiring engineers to use stronger security guardrails for testing its AI systems.

Earlier this summer hundreds of OpenAI’s internal agents, which were tasked with completing a cybersecurity test, ended up hacking into the AI company Hugging Face. Since then, high-profile organizations such as the Australian government and United Nations discovered that OpenAI’s agents used similar, but less extensive, techniques to gain access to their websites.

Many of the publicly known agent-security incidents involved OpenAI’s internal AI models that were never slated for public release.

Last week, OpenAI said it paused training on its most capable AI models after an AI agent slipped through a gap in the company’s internet restrictions to query a public chatbot. The company said its new monitoring systems flagged the incident within 15 minutes, and training on these models remains paused.

GPT-6.1 Astra isn’t one of those models, but a different case, the company said.

“We want to make sure our model development is safe no matter whether that’s in the company, or when we ship it to users,” Jain said. “But when we ship it to users, we have an extremely high bar in terms of safety and alignment.”

While the company decided not to ship GPT-6.1 Astra, it hopes to use the same base model to do additional reinforcement learning runs, and create future generations of its GPT-6 models.

OpenAI plans to conduct several deep dives to identify the root cause of the problems identified in GPT-6.1 Astra, Jain said. The work includes ensuring that OpenAI’s reinforcement learning environments are rewarding the right type of behavior, Jain added, though she noted the company would investigate all stages of model development.

AI companies have begun to draw scrutiny from policymakers and public officials, who are paying attention to the rapid development of the technology. Later this week, a Senate subcommittee is holding a hearing with third party AI researchers titled, “Rogue AI: Securing the Homeland Against AI Agent Attacks.”

Florida Attorney General James Uthmeier, a Republican, sued OpenAI in June, claiming that the company and Chief Executive Sam Altman knowingly released an unsafe product and ignored warnings that it could harm users.

In a motion for temporary injunction filed Monday, Uthmeier sought to prevent OpenAI from developing new AI models without third-party approved safeguards, stop ChatGPT from soliciting user engagement and limit the company’s ability to advertise ChatGPT as safe.

Tech companies claim they “cannot stop barreling forward with their potentially civilization-ending endeavors unless they are forced to do so by the government,” Uthmeier said in the filing. “The Florida Attorney General is answering your cry for help.”

An OpenAI spokeswoman said that people want to know AI is being developed safely, “and that starts with what companies like ours do ourselves.”

“Governments have an important role to play in setting robust safety standards for AI, and we’re committed to working with Florida and other states on advancing pragmatic AI policies that apply to the entire AI industry—not just one company,” she said.

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