Anthropic’s decision to place strict guardrails around its most powerful publicly available artificial intelligence model is emerging as a new flashpoint in the intensifying U.S.-China AI rivalry, with experts warning the move could make it significantly harder for Chinese developers to leverage frontier American technology to accelerate their own breakthroughs.

The San Francisco-based AI company this week launched Claude Fable 5, the public version of its highly anticipated Mythos model, which had previously been available only to a limited group of government agencies, research institutions, and selected organizations under Anthropic’s Glasswing program.

Mythos attracted global attention earlier this year after demonstrating an unprecedented ability to identify software vulnerabilities and cybersecurity weaknesses, triggering fresh concerns about the risks posed by increasingly powerful AI systems. The release of Fable 5 marks Anthropic’s attempt to commercialize those capabilities while simultaneously imposing safeguards designed to prevent misuse.

The restrictions are likely to have implications far beyond cybersecurity. Analysts say they could become another barrier for Chinese AI laboratories seeking to narrow the gap with leading American developers such as OpenAI, Anthropic, and Google DeepMind.

For years, Anthropic’s Claude models have not been officially available in China. Yet developers, researchers, and enterprises often found indirect ways to access the technology through overseas cloud services, intermediaries, or third-party platforms. Fable 5’s new architecture is designed to make such workarounds less effective.

Kyle Chan, a fellow at the Brookings Institution, said the tighter controls could significantly reduce the usefulness of Anthropic’s latest model for Chinese developers.

“Chinese AI developers might find it nearly impossible now to use Anthropic’s latest model to accelerate their own model development,” Chan said.

At the center of the restrictions is a system of automated classifiers that continuously monitor user requests. Queries involving cybersecurity, biology, chemistry, and advanced AI model development are automatically flagged. Anthropic specifically targeted activities associated with model distillation, a process through which developers use outputs from advanced AI systems to improve or train competing models.

When such requests are detected, Anthropic says Fable 5 automatically transfers the interaction to Claude Opus 4.8, a less capable model. The mechanism allows users to continue receiving responses while preventing access to the most advanced capabilities embedded in Fable 5.

The move comes at a particularly sensitive moment in the global AI race. Chinese technology firms have spent the past year accelerating efforts to close the gap with U.S. competitors. Companies such as Tencent, Alibaba Group, and Baidu have expanded investment in foundation models while recruiting researchers from leading American AI laboratories.

Earlier this year, Tencent appointed former OpenAI researcher Yao Shunyu as its chief AI scientist. Yao subsequently outlined ambitions to build a long-term artificial general intelligence organization in China, signaling a shift in Chinese AI priorities toward frontier model development rather than merely commercial applications.

That transition has heightened concerns in Washington that advanced American AI systems could indirectly contribute to China’s technological progress. Anthropic has consistently argued that frontier AI systems are approaching levels of capability that require stronger safeguards and tighter access controls. Earlier this year, it warned that advanced models were nearing the point where they could improve themselves with limited human oversight.

The release of Fable 5 reflects that philosophy.

Dianne Penn, Anthropic’s head of product management, research, and labs, explained how the safeguards work in practice.

“Let’s say I’m a college student asking the model like help me find cyber vulnerabilities on X package or code. The model would refuse and Fable 5 will fall back to Opus 4.8 for a response,” Penn said.

Anthropic believes that the restrictions are necessary because Fable 5 possesses capabilities that exceed those of previous public models in software engineering, research, and analytical reasoning. The company said extensive testing was conducted to ensure users could not easily manipulate the system into bypassing its protections.

The approach has generated mixed reactions across the AI research community. Some researchers view the restrictions as a necessary response to the growing risks associated with increasingly capable AI systems. Others worry that limiting access to frontier models could slow scientific progress and concentrate power among a handful of organizations with privileged access.

Anthropic has already softened part of its enforcement strategy after criticism from researchers who argued that some legitimate scientific work could be unintentionally restricted. The company has indicated it plans to broaden access gradually through what it describes as a more systematic trusted-access framework.

As U.S. authorities tighten export controls on advanced semiconductors and AI technologies, access to leading models themselves is becoming an increasingly important battleground. Restrictions embedded directly into software may prove more difficult to evade than traditional hardware controls.

The challenge is growing more complex for Chinese AI developers. Beyond securing advanced chips, they may now face additional obstacles in accessing the world’s most capable models for research and development purposes.

BlackRock’s flagship private credit platform is facing growing redemption pressure, highlighting rising investor caution as concerns mount over credit quality, valuation transparency, and the potential economic disruption from artificial intelligence.

The world’s largest asset manager disclosed on Friday that investors sought to redeem approximately 13.3% of assets from its $25 billion HPS Corporate Lending Fund (HLEND) during the first quarter, significantly exceeding the amount the fund is prepared to repurchase.

The fund will buy back only 5% of its outstanding shares, or roughly $620 million, leaving a substantial portion of redemption requests unmet for now.

The figures provide one of the clearest indications that investor sentiment toward private credit may be becoming more cautious after years of explosive growth that transformed the sector into a multi-trillion-dollar corner of global finance.

Private credit emerged as one of the biggest beneficiaries of the post-financial-crisis era, filling a financing gap left as traditional banks retreated from certain forms of corporate lending following tighter regulations.

Asset managers, including BlackRock, Apollo Global Management, Ares Management, and Blackstone, aggressively expanded into direct lending, offering loans primarily to middle-market companies that often lack easy access to public debt markets.

The sector’s appeal has been driven by higher yields than traditional bonds, relatively stable returns, and reduced exposure to daily market volatility. However, the recent surge in redemption requests suggests investors are becoming increasingly focused on risks that remained largely in the background during years of abundant liquidity and low defaults.

Among the biggest concerns are questions about the health of borrowers facing higher interest costs, slowing economic growth, and technological disruption.

AI Emerges as a New Credit Risk

One of the more notable concerns cited by market participants is the growing impact of artificial intelligence on borrowers. Many private credit funds lend to mid-sized businesses operating in industries vulnerable to technological disruption. Investors are now assessing whether some companies could face earnings pressure, margin compression, or even business-model challenges as AI adoption accelerates.

Unlike large public corporations that often possess greater financial flexibility and access to capital markets, middle-market companies can be more vulnerable to structural shifts in their industries. As a result, investors are scrutinizing portfolios more closely for exposure to sectors that could be disrupted by automation, generative AI, and changing workforce requirements.

The redemption requests also reveal a longstanding debate surrounding private credit valuations. Unlike publicly traded bonds, private loans often trade infrequently or not at all, making valuation more dependent on internal models and estimates.

During periods of market stress, investors frequently question whether reported asset values accurately reflect current market conditions.

This issue becomes more serious when investors seek liquidity. Because private credit funds hold relatively illiquid assets, they generally limit the amount of capital that can be withdrawn during any given period. These restrictions are designed to prevent forced asset sales that could harm remaining investors.

HLEND emphasized that its structure allows investors to access assets that typically command a premium return precisely because they are less liquid. The fund noted that its design balances periodic liquidity opportunities with the long-term nature of the underlying investments.

Ironically, the same interest-rate environment that is worrying some investors could also create opportunities for private lenders. HLEND said expectations for higher interest rates could enhance future returns by allowing the fund to originate new loans at more attractive yields.

Private credit managers have generally benefited from higher benchmark rates because many loans are floating-rate instruments whose income rises as rates increase. This has boosted yields for investors and increased revenue for lenders. However, higher rates also raise borrowing costs for portfolio companies, creating a delicate balance between stronger investment returns and elevated credit risk.

The key question for the industry is whether borrowers can continue servicing debt comfortably if rates remain elevated for an extended period.

Redemption Activity Extends Beyond One Fund

The pressure was not limited to HLEND. BlackRock disclosed that its $2.7 billion BlackRock Private Credit Fund (BDEBT) received redemption requests equivalent to 5.3% of assets. The fund will repurchase 5%, or approximately $83 million, of outstanding shares.

Meanwhile, investors in the $2.2 billion HPS Corporate Capital Solutions Fund requested withdrawals amounting to an estimated 4.7% of shares, according to preliminary figures.

While these redemption levels are manageable and well within the operational frameworks established by the funds, they indicate a broader shift in investor behavior. Investors appear increasingly selective and sensitive to liquidity, valuation practices, and economic uncertainty, rather than indiscriminately allocating capital to private credit.

BlackRock’s Expanding Private Markets Ambitions

The developments come as BlackRock continues building one of the world’s largest private markets franchises. The firm’s private debt business now oversees approximately $203 billion in assets, making it a major player in a market that has become increasingly important to institutional and retail investors seeking alternatives to traditional stocks and bonds.

Private credit remains a strategic growth area for the asset management industry because it generates higher fees than many traditional investment products and provides exposure to a segment of the economy that is largely inaccessible through public markets.

For much of the past decade, private credit benefited from low defaults, strong economic growth, and abundant investor demand. Today, managers must navigate a more complex environment marked by elevated interest rates, geopolitical uncertainty, slowing growth, and the emergence of AI-driven business disruption.