In a pointed declaration of technological self-reliance, Chinese cybersecurity powerhouse 360 Security Technology has rolled out what it describes as a homegrown counterpart to Anthropic’s powerful Mythos AI system, framing the U.S. model as a strategic capability that Beijing simply cannot allow to remain a one-sided advantage.

Speaking at the ISC.AI 2026 cybersecurity conference in Beijing on Wednesday, 360 founder Zhou Hongyi unveiled two new AI-driven security tools under the banner “Yitian Tulong” — a reference to legendary weapons from a classic Chinese martial arts novel, evoking themes of unmatched power and national defense.

The announcement underpins China’s accelerating push to close the gap in offensive and defensive cyber tools amid deepening U.S. restrictions on advanced AI technologies.

One tool, dubbed “Tulongfeng,” is designed to automatically discover software vulnerabilities, which Zhou boldly called “China’s version of Mythos.” A second system, “Yitianzhen,” focuses on automating cyber defense and incident response. Together, they represent 360’s bid to build a comprehensive AI-powered security arsenal capable of both identifying weaknesses and mounting rapid countermeasures.

“This kind of powerful weapon that can change the landscape of cyber offence and defense cannot be held only by others,” Zhou said in his speech, according to a transcript published by the company. “We cannot afford to wait.”

Mythos, previewed by Anthropic in April, has sparked alarm in Washington and beyond for its ability to rapidly uncover vulnerabilities in operating systems, browsers, and other critical software. In a dramatic move earlier this month, the U.S. government ordered Anthropic to suspend exports of a less powerful version of the model worldwide, citing national security risks. Cybersecurity experts have warned that such tools could dramatically amplify the speed and scale of cyberattacks if they fall into the wrong hands.

Zhou argued that allowing the U.S. to maintain exclusive access to Mythos-like capabilities would create “one-way transparency,” where American entities could scan Chinese systems while Beijing lacked comparable tools. His remarks echo a growing sentiment in Chinese state media and policy circles that the country must match or surpass Western advances in AI-driven cyber tools to protect critical infrastructure and maintain strategic parity.

A Calculated Response to U.S. Export Controls

360’s development is believed to be part of China’s broader strategy of circumventing U.S. export restrictions on advanced chips and frontier AI models. Since 2022, Washington has tightened controls on high-end semiconductors, arguing they could enhance Chinese military capabilities. While domestic models still lag U.S. counterparts by an estimated 20-30% in base capability, according to Zhou, Chinese firms are increasingly turning to “agent”-based architectures that combine existing models with specialized security expertise, vulnerability databases, and automated workflows.

Objectively speaking, domestic models still have a 20%-30% gap in base capability,” Zhou acknowledged. “China cannot wait until model capabilities have fully caught up before starting vulnerability discovery.”

He contrasted the U.S. approach, relying on the “strongest model, the strongest computing power and the strongest chips”, with 360’s method of building a complete, reliable system.

“If Mythos is a top-end chip, what we are building is a complete machine that can run stably, work 24 hours a day and make fewer mistakes. If the U.S. route is to cultivate a genius hacker, 360’s route is to organize a professional attack-and-defense team,” he said.

The development comes against a backdrop of mutual accusations between Washington and Beijing over offensive cyber operations targeting critical infrastructure. Last year, Anthropic reported that hackers had exploited vulnerabilities in its Claude AI to attack around 30 global organizations. A separate IBM and Palo Alto Networks survey found that 67% of executives had been targeted by AI-enhanced attacks in the past year.

For China, the stakes are existential. With its economy and military increasingly digitized, vulnerability to advanced AI-driven reconnaissance or attacks could have devastating consequences. Zhou, a veteran entrepreneur and member of China’s top political advisory body, framed the issue in stark national security terms, reflecting Beijing’s view that AI cybersecurity tools are no longer optional luxuries but strategic necessities.

360’s move also illustrates a growing trend in China: leveraging “agentic” AI systems that integrate multiple tools and domain expertise rather than depending solely on raw model scale. This pragmatic approach may help narrow the capability gap faster than attempting to match U.S. frontier models head-on under export control constraints.

Implications for Global Cybersecurity and Tech Competition

However, the emergence of a credible Chinese response to Mythos is expected to accelerate an AI-driven cyber arms race, with both sides racing to develop tools that blur the lines between defense and offense. For global companies and governments, this raises difficult questions about supply chain security, vulnerability disclosure, and the dual-use nature of advanced AI systems.

Against that backdrop, Western nations may view 360’s tools with suspicion, similar to how they regard other Chinese cybersecurity offerings. At the same time, the development underscores the challenges of containing AI proliferation in a world of fragmented technology supply chains and competing national interests.

However, the announcement reinforces 360’s evolution from a consumer antivirus provider to a major player in enterprise and government security. Founded by Zhou, the company gained prominence through antivirus software before expanding into broader digital defense solutions. With the ability to deliver “Mythos-equivalent capabilities” through integrated agent systems,  the company’s position in China’s domestic market and potentially in friendly international markets wary of full U.S. alignment is expected to be strengthened.

China is accelerating faster than expected toward widespread commercial deployment of humanoid robots, prompting Morgan Stanley to sharply upgrade its forecasts for the second time this year and positioning the sector as one of the most compelling investment themes in the country’s rapidly evolving technology industry.

In a research note released Tuesday, the Wall Street bank raised its projection for humanoid robot shipments in China to 50,000 units for 2025 — nearly double its previous estimate of 28,000 and quadruple its initial January forecast of 14,000. The bank now sees the domestic market reaching $2 billion this year and expanding to $15 billion by 2030, with annual shipments climbing to 446,000 units by the end of the decade. Importantly, these figures cover only external sales, excluding prototypes, trials, and internal use.

“Commercial verification, policy support, and supply-chain feedback point to faster humanoid adoption in China,” said Sheng Zhong, equity analyst at Morgan Stanley.

This upgraded outlook indicates that what began as demonstration projects and government-backed experiments is quickly transitioning into real-world applications in factories, logistics hubs, retail environments, and service settings. Chinese manufacturers are scaling production at a pace that has caught many global observers by surprise, driven by a potent combination of state ambition and private-sector execution.

National Strategy Meets Market Forces

Beijing has elevated “embodied AI”, artificial intelligence integrated into physical systems like robots, as a core priority in its next five-year plan. Local governments are rolling out subsidies, offering free or discounted land and office space to startups, and directing banks to provide preferential lending.

This top-down push is creating fertile ground for commercialization, even as Western competitors like Tesla continue to face delays. Tesla CEO Elon Musk has pushed back the public sales timeline for Optimus to the end of 2027. Last year, roughly 13,000 humanoid robots were shipped worldwide, according to research firm Omdia. Chinese companies claimed the top five spots by volume, with American firm Figure AI ranking seventh and Tesla ninth.

The gap in deployment speed is widening, giving China a potential first-mover advantage in turning laboratory concepts into factory-floor realities.

Joe Ngai, senior partner and chairman of McKinsey Greater China, described humanoid robotics as potentially “the next big frontier” for investors tracking China’s tech evolution.

“When you walk outside [in China], you see all these startups and more advanced companies, all these robots dancing — but robotics usage on the industrial side is often a below-the-radar story. If you go to any Chinese factory right now, there’s more automation and robotics that’s been deployed than anywhere else in the world,” he said.

Morgan Stanley’s field research supports this view, pointing to accelerating rollouts in manufacturing, logistics, unmanned retail, and interactive services. The bank highlighted Shanghai-listed Leaderdrive as a major beneficiary, raising its 12-month target price to 464 yuan ($68) from 269 yuan. Leaderdrive supplies precision components to domestic humanoid makers such as Ubtech and Galbot and could capture 40% of the global market this year, declining to a still-dominant 25% over the longer term.

Chinese robotics firms are increasingly looking abroad for growth. Seer Intelligent, which began trading in Hong Kong on Wednesday, has expanded beyond China since 2021, with overseas revenue from more than 65 countries accounting for 18% of total sales last year. Chief operating officer Jonathan Fan told CNBC that the company is prioritizing geographic diversification and strict regulatory compliance to mitigate risks.

“Geopolitical uncertainty and simmering trade tensions remain the most significant headwind,” Fan said.

Washington’s growing alarm over China’s AI and robotics progress adds another layer of complexity. U.S. policymakers worry about technological dependence and strategic vulnerabilities. Suzanne Nossel, Lester Crown senior fellow at the Chicago Council on Global Affairs, warned in a recent Foreign Policy piece that treating the AI contest purely as a race for new capabilities could leave the U.S. ahead in invention but behind in real-world adoption and influence.

“A sales campaign for the U.S. AI stack will not jump-start adoption fast enough to keep pace with China,” she said.

This competitive dynamic is accelerating innovation on both sides, but China’s ability to combine state support, rapid commercialization, and domestic supply chain integration gives it distinct advantages in scaling physical AI systems.

The Long-Term Outlook

Morgan Stanley’s upgraded forecast underscores humanoid robotics as a high-conviction theme for investors within China’s broader technology push. The sector sits at the intersection of industrial upgrading, AI advancement, and national security priorities, potentially offering multi-year growth tailwinds. However, risks remain, including execution challenges, potential overcapacity as more players enter, and escalating geopolitical friction that could disrupt overseas expansion or component supplies.

The speed of China’s progress suggests the country could emerge as a dominant force in embodied AI, much as it did in electric vehicles and solar energy. Factories are already deploying more automation than anywhere else, and the transition from novelty demonstrations to practical, revenue-generating applications is happening quicker than many anticipated.

As McKinsey’s Ngai observed, much of this transformation remains “below the radar” for international observers focused on consumer-facing tech. Yet the industrial reality on the ground points to a deeper structural shift that could reshape global manufacturing competitiveness in the years ahead.

An advanced artificial intelligence model developed by Anthropic was able to identify vulnerabilities in highly sensitive U.S. government computer systems within hours during a classified testing exercise, according to a U.S. official.

This, once again, highlighted both the extraordinary capabilities and growing security concerns surrounding the latest generation of AI systems.

The disclosure offers one of the clearest indications yet of how rapidly frontier AI models are evolving from productivity tools into technologies capable of performing sophisticated cybersecurity tasks that were once the exclusive domain of highly trained human experts.

According to a U.S. official who spoke to the Associated Press on condition of anonymity, Anthropic worked with American intelligence agencies to evaluate the cybersecurity capabilities of its most advanced AI system, known as Mythos. During the exercise, the model identified vulnerabilities in secure government systems within hours.

The official stressed that identifying vulnerabilities is not the same as exploiting them. While the model was able to locate weaknesses quickly, there is no indication that it independently breached classified systems or gained unauthorized access.

Even so, the findings underscore why governments, intelligence agencies, and technology companies are increasingly treating frontier AI models as dual-use technologies capable of strengthening cyber defenses while also potentially enhancing offensive cyber capabilities.

The testing was conducted through Anthropic’s Project Glasswing initiative, a program designed to assess the risks posed by advanced AI systems and to help secure critical software infrastructure against potentially severe consequences for public safety, national security, and economic stability.

The project brings together government agencies, technology firms, and cybersecurity organizations to evaluate how capable AI models might affect critical infrastructure and digital security. The existence of the testing surfaced publicly earlier this month when Mark Warner referenced the exercise during a Senate Banking Committee hearing.

Warner said, “This tool broke into almost all of our classified systems, not in weeks but in hours.”

The senator attributed the information to Gen. Joshua Rudd, who serves as head of both the National Security Agency and U.S. Cyber Command.

The revelation comes at a time when Anthropic found itself increasingly at odds with the Trump administration over the deployment and export of advanced AI technologies. While the company has cooperated closely with U.S. intelligence and security agencies in assessing cyber risks, it has also expressed concerns about how some of its most powerful models might be used by military and intelligence organizations.

Those tensions escalated earlier this month when President Donald Trump’s administration ordered Anthropic to restrict access to its newest frontier models, Fable 5 and Mythos 5. The directive required the company to prevent foreign nationals from accessing the systems due to concerns about their cybersecurity capabilities.

Anthropic responded by disabling access to the models for all users rather than attempting to implement nationality-based restrictions. The company argued that the government’s response was disproportionate to the risks it had identified and maintained that the security concerns did not justify such sweeping limitations.

The dispute is part of a broader debate unfolding in Washington over how to regulate capable AI systems without undermining America’s technological leadership. Just ten days before the directive was issued, President Trump signed an executive order establishing a framework under which the federal government can evaluate national security risks posed by advanced AI systems before their public release.

Under the framework, participation by AI developers remains voluntary, but it signals a significant expansion of federal oversight of frontier AI models.

The administration’s restrictions have not been universally welcomed within the cybersecurity community. More than 100 cybersecurity experts and executives from major technology companies, including Adobe and Nvidia, have urged the administration to reconsider its approach.

In a letter to government officials, the group acknowledged that Anthropic’s Mythos models are highly effective at identifying software vulnerabilities and generating exploits. However, the experts argued that the systems are “not uniquely good at these tasks” and that comparable capabilities are increasingly available through other commercial and open-source AI models. Many signatories noted that they already rely on multiple foundation models for security audits, vulnerability discovery, and cyber defense training.

The letter warned that limiting access to advanced defensive AI capabilities could inadvertently benefit foreign adversaries.

“It is dangerous to take away the best cyber defense capabilities without a good reason,” the cybersecurity leaders argued, particularly at a time when rival nations are rapidly advancing their own AI programs.

The faceoff between Pentagon and Anthropic was orchestrated by concerns that its newest models could be exploited and used for wrong causes. Advanced AI systems are becoming increasingly valuable tools for detecting vulnerabilities, strengthening cybersecurity, and protecting critical infrastructure. Yet the same capabilities can potentially be used to identify weaknesses that hostile actors might exploit.

Thus, as frontier models continue to improve, policymakers are being forced to confront difficult questions about access, regulation, and national security. The Anthropic case is shaping up to become one of the first major tests of how governments balance those competing priorities.

U.S. stock futures advanced sharply on Wednesday night after strong earnings from memory-chip maker Micron Technology bolstered investor confidence that the artificial intelligence infrastructure boom remains intact, even as concerns about inflation and higher interest rates continue to weigh on broader markets.

The gains were led by technology and semiconductor shares, with futures tied to the Nasdaq 100 surging 2%, while S&P 500 futures climbed 0.7%. Futures linked to the Dow Jones Industrial Average rose 96 points, or 0.2%.

The rally followed a blockbuster earnings report from Micron, which has become one of the clearest barometers of AI-related demand across the semiconductor supply chain.

Shares of Micron jumped 14% in after-hours trading after the company reported fiscal third-quarter results that exceeded Wall Street expectations and delivered an exceptionally strong revenue outlook. The company projected current-quarter revenue of $50 billion, dramatically higher than the $11.3 billion generated a year earlier and well ahead of analyst expectations of $43.58 billion.

The guidance reinforced a growing view on Wall Street that AI-driven spending remains one of the strongest forces in global technology markets, with hyperscale cloud providers, governments, and enterprises continuing to invest aggressively in data centers and advanced computing infrastructure.

The positive read-through extended across the semiconductor sector.

Shares of Qualcomm surged 12% after the company raised its fiscal 2029 non-handset revenue target to $40 billion from a previous forecast of $22 billion, signaling confidence that AI will increasingly drive growth beyond smartphones.

The upgraded outlook is widely notable because it highlights Qualcomm’s efforts to diversify into AI-powered personal computers, automotive technology, industrial systems, edge computing, and connected devices. Other semiconductor-related companies, including Sandisk, Western Digital, Lam Research, KLA Corporation, and Applied Materials, also moved higher in sympathy trading.

The broad market, however, remains caught between enthusiasm surrounding AI and growing concerns about inflation and monetary policy.

During Wednesday’s regular trading session, the S&P 500 fell 0.10% while the Nasdaq Composite lost 0.43%. The Dow Jones Industrial Average bucked the trend, rising 182 points, or 0.35%.

The divergence reflects a broader market rotation that has become increasingly evident in recent weeks. Investors have been moving capital out of some of the year’s strongest-performing technology stocks and into sectors viewed as more economically sensitive, including financials and industrials.

According to Ryan Detrick, chief market strategist at Carson Group, that rotation may actually strengthen the broader bull market rather than weaken it.

“In other words, breadth expanded,” Detrick said.

“Technology is going lower, but it is rotating, and I’ve been coming on the network for a while, saying we like industrials, we like financials. To see this rotation is really a good sign.”

“I think it’s constructive. Have a little break in June — June swoon — not overly surprising.”

The comments are seen as an indication that investors are beginning to broaden their exposure beyond a handful of mega-cap technology names, potentially reducing concerns that the market’s gains are becoming overly concentrated.

Attention is now turning to Thursday’s release of the Personal Consumption Expenditures (PCE) Price Index, the Federal Reserve’s preferred inflation measure.

Economists expect headline PCE inflation to rise 0.5% month-over-month in May, compared with 0.4% in April, while annual inflation is expected to accelerate to 4.1% from 3.8%. Core PCE, which excludes food and energy prices, is projected to increase 0.3% monthly and 3.4% annually, both slightly above April’s readings.

The inflation data arrives at a critical moment following the Federal Reserve’s recent hawkish policy signals. Markets have increasingly priced in the possibility that policymakers may need to keep rates elevated for longer, or even consider additional tightening later this year if inflation remains stubborn.

Further complicating the outlook is a new request from the White House for $87.6 billion in supplemental spending to cover costs related to the Iran conflict and other government priorities. The proposal immediately faced opposition from congressional Democrats, adding another layer of uncertainty to the fiscal outlook.

Gold Tumbles

The prospect of higher rates and persistent inflation has already begun reshaping other asset classes, particularly precious metals. Gold prices fell below the psychologically important $4,000-per-ounce level on Wednesday for the first time since November 2025.

The decline marks a significant reversal for the metal, which reached a record high of $5,594.82 an ounce in January amid geopolitical tensions, central-bank buying, and concerns over global economic stability.

Since that peak, gold has shed more than $1,500 per ounce.

The selloff has been driven largely by a strengthening U.S. dollar and growing expectations that interest rates will remain elevated. Because gold generates no income, higher bond yields and interest rates reduce its attractiveness relative to income-producing assets.

“The market pricing a rate hike as soon as September due to a hawkish Fed, a surging dollar at 13-month highs combined with lower inflation expectations are putting heavy pressure on precious metals,” said independent metals trader Tai Wong.

“For gold, there is support just under $3,900 and central bank purchases continue, so a collapse is unlikely, but expect a potentially long period of consolidation as the gold trade is now out of favor,” he added.

The weakness has prompted analysts at ING to lower their gold forecasts. The bank now expects gold to average $4,300 an ounce during the third quarter of 2026 and $4,600 in the fourth quarter, down from previous projections of $4,850 and $5,000, respectively.

The contrasting performance of technology stocks and gold highlights the market’s current narrative. Investors remain highly optimistic about AI-driven earnings growth and infrastructure spending, as evidenced by Micron’s results and Qualcomm’s upgraded outlook. At the same time, expectations for higher interest rates are pressuring traditional safe-haven assets and forcing markets to reassess inflation risks stemming from strong economic activity and geopolitical developments.

The result is a market divided between sectors benefiting from the AI investment boom and assets that traditionally thrive during periods of monetary easing.