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Japan’s Nikkei Defies Global Gravity: How a Broadening AI Supply Chain Is Powering the World’s Hottest Stock Rally

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Japan’s Nikkei index has delivered one of the most impressive performances among major global benchmarks this year, climbing 37% and leaving U.S., European, and Chinese markets in its wake.

What makes this rally particularly noteworthy is not just its strength, but its broadening character — evolving from a narrow focus on a few headline AI names into a deeper, more resilient wave that is lifting an entire ecosystem of specialized manufacturers and infrastructure providers.

This is no longer solely the story of obvious winners riding the AI hype. Instead, Japan is benefiting from its long-standing industrial DNA: a deep bench of companies that make the essential, often invisible components and systems that allow data centers and advanced computing to function at scale. As the AI buildout moves from flashy front-end models to the gritty hardware backbone, Japan’s precision manufacturers are finding themselves in an enviable position.

The rally has unfolded in distinct phases. It began with familiar leaders such as SoftBank Group, Advantest, and Tokyo Electron — the gatekeepers of semiconductor production and testing equipment. A second wave pulled in suppliers of fiber-optic cables like Fujikura and Furukawa Electric, critical for high-speed data transmission. Now, a third and more diversified leg is gaining traction, spotlighting the companies that produce the parts powering everything from voltage regulation to energy storage in AI infrastructure.

Murata Manufacturing and Taiyo Yuden, two of the world’s leading makers of multi-layer ceramic capacitors (MLCCs) used to stabilize power in servers, have become standout performers. Murata’s shares have soared 268% year-to-date, while Taiyo Yuden has exploded 438%, second only to memory specialist Kioxia, which recently overtook Toyota to claim the title of Japan’s most valuable company.

Ibiden, a key Nvidia supplier, has jumped 292%, and Panasonic Holdings hit record highs after announcing plans to mass-produce battery cells for data centers at its Kansas facility in the United States.

“This is just the beginning of their rally. Investors will continue to hunt stocks that are related to AI data centers,” said Kazuaki Shimada, chief strategist at IwaiCosmo Securities.

This broadening participation is helping to distribute gains more widely across the index, reducing the risk of a narrow, top-heavy advance. Chip-related names account for about 25% of the Nikkei’s value, according to Takamasa Ikeda at GCI Asset Management. When broader AI ecosystem players such as Murata, Sony Group, and Kyocera are included, that weighting rises to around 35%.

While this concentration has fueled the rally, it also introduces vulnerability; a sharp correction in global semiconductor sentiment could weigh heavily on Japanese equities.

Why Japan Is Uniquely Positioned

Several structural factors are working in Japan’s favor. Years of corporate governance reforms have improved capital efficiency and shareholder returns, making Japanese companies more attractive to both domestic and foreign investors. The weak yen, while a challenge for consumers, has supported exporters by making their products more competitive abroad.

Perhaps most importantly, Japan’s deep expertise in advanced materials, precision engineering, and power management aligns perfectly with the technical demands of scaling AI infrastructure.

Unlike the U.S. market, where the AI narrative has been dominated by a handful of mega-cap platform companies, Japan’s rally is being carried by a wider cast of industrial specialists. This diversification could make the advance more sustainable, as it is tied less to speculative sentiment and more to tangible demand for physical components and systems.

Foreign investors, who had been underweight Japanese stocks for years, have been steadily increasing allocations, drawn by improving fundamentals and the country’s central role in the semiconductor supply chain. Domestic institutions and retail investors are also participating more actively, supported by structural economic reforms and a more constructive corporate outlook.

Risks Are On The Road Ahead

Nevertheless, the heavy weighting toward tech and AI-related stocks means the Nikkei is not immune to global shifts. The Philadelphia Semiconductor Index has recently traded more than 70% above its 200-day average, a level that has historically signaled overheating and potential corrections.

“It might be hard for the SOX index to maintain its current momentum in the mid-to-long term,” Ikeda said. “And if there’s a correction in the SOX, the same fate will be inevitable for the Nikkei.”

Geopolitical risks, particularly around U.S.-China tech tensions and potential supply chain disruptions, also loom large. Many of the components driving Japan’s rally depend on complex international networks that remain sensitive to trade policy changes.

Yet the underlying demand drivers appear robust. Global spending on AI infrastructure continues to accelerate, and Japanese firms occupy critical niches that are difficult to replicate quickly. The shift toward more specialized, high-value components plays directly to Japan’s traditional strengths in materials science and precision manufacturing.

Analysts expect the rally’s broadening trend to continue as investors rotate into second- and third-tier beneficiaries. The evolution from a concentrated AI bet to a broader industrial theme could help sustain momentum even if some headline tech names pause.

Japan’s resurgence challenges the long-held narrative of a stagnant economy. After years of deflationary pressures and corporate conservatism, the country is demonstrating that structural reforms, combined with global technological tailwinds, can unlock significant value. The Nikkei’s performance this year is more than a cyclical rebound. Analysts see it as a reflection of a deeper transformation in Japan’s corporate sector and its integration into the global AI supply chain.

Russian Gazprom Counts on China and Domestic Gas Market to Drive 7% Earnings Growth

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Russian energy giant Gazprom expects its core earnings to grow by 6% to 7% this year as rising domestic gas consumption and expanding pipeline exports to China partially offset the collapse of its once-dominant European business, underscoring the company’s continuing pivot toward Asia following Russia’s conflict with Ukraine.

Speaking at Gazprom’s annual shareholders’ meeting, Deputy Chief Executive Famil Sadygov said the company expects earnings before interest, taxes, depreciation, and amortization (EBITDA) to build on the 2.9 trillion roubles ($37.7 billion) generated in 2025.

The earnings outlook comes as Gazprom continues restructuring its export strategy after losing much of the European market that had been the cornerstone of its business for decades.

Before 2022, Gazprom was Europe’s largest pipeline gas supplier, generating tens of billions of dollars annually from long-term contracts with customers across Germany, Italy, Austria, and several other European countries. However, the Ukraine conflict, Western sanctions, the sabotage of the Nord Stream pipelines, and Europe’s rapid diversification away from Russian energy have dramatically reduced those exports, forcing the Kremlin-controlled producer to seek alternative markets.

Sadygov said Gazprom expects gas deliveries within Russia to increase by 2% to 4% this year as industrial demand, power generation, and government-backed gasification programmes continue expanding.

The domestic market has become an important source of stable sales for Gazprom. Although gas sold inside Russia generates significantly lower margins than exports because prices remain regulated by the government, the market provides dependable volumes that help utilize the company’s vast production and transmission network.

The company’s international growth strategy now centers overwhelmingly on China. Sadygov said Gazprom also expects pipeline exports to China to rise further this year. The company delivered 38.8 billion cubic meters (bcm) of natural gas to China through the Power of Siberia pipeline in 2025, bringing supplies close to the pipeline’s original design capacity.

During President Vladimir Putin’s visit to China in September, Moscow and Beijing agreed to increase annual deliveries by an additional 6 bcm, raising total annual supplies through the route to 44 bcm. The agreement reinforces the increasingly close energy relationship between Russia and China, with Beijing becoming Moscow’s most important export destination as European demand continues to shrink.

However, analysts note that even expanded Chinese purchases remain insufficient to fully replace the scale of Gazprom’s lost European business.

Before the Ukraine conflict, Gazprom regularly exported well above 150 bcm of gas annually to Europe. Even at the newly agreed 44 bcm level, Chinese deliveries represent less than one-third of those former export volumes.

The company’s broader ambitions to significantly expand exports to China have also encountered persistent obstacles. Negotiations over the proposed Power of Siberia 2 pipeline, which would transport gas from western Siberian fields that previously supplied Europe, have progressed slowly amid disagreements over pricing, contract terms, and financing arrangements.

China has reportedly pushed for lower prices similar to those paid by domestic suppliers, while Russia has sought terms closer to those historically received in Europe. Those differences have delayed what Moscow views as its most important long-term gas export project.

The earnings forecast nevertheless suggests Gazprom believes incremental gains in Asia, together with stronger domestic demand, can support moderate financial growth even as Europe remains largely closed to Russian pipeline gas.

The company is also benefiting from continued investments in Russia’s domestic gas infrastructure, where the government has accelerated programmes aimed at expanding pipeline connections to households and industries, helping create additional long-term demand.

For investors, Gazprom’s guidance highlights the gradual stabilization of the company’s finances after several turbulent years. The expected 6% to 7% EBITDA growth indicates management believes the business has entered a new phase in which domestic consumption and Asian exports will increasingly replace the role once played by Europe.

Even so, the transformation remains incomplete.

China has become Gazprom’s fastest-growing export market, but replacing Europe’s volume, pricing power, and profitability remains one of the company’s biggest strategic challenges.

Onsemi Strikes $7bn Deal for Synaptics to Build AI Chip Powerhouse for Robotics, Smart Devices, and Physical AI

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ON Semiconductor has agreed to acquire Synaptics in an all-stock transaction valued at approximately $7 billion, marking the largest acquisition in the company’s history as it intensifies its push into artificial intelligence hardware, robotics, and the rapidly emerging market for physical AI.

The semiconductor industry has seen chipmakers racing beyond traditional AI infrastructure, such as data centers, to take a position in the next wave of AI adoption: intelligent machines that can perceive, process, and act in the physical world.

Under the agreement, Synaptics shareholders will receive 1.350 shares of Onsemi common stock for each Synaptics share, representing a 19% premium based on the companies’ 10-day volume-weighted average share prices.

The transaction combines Onsemi’s expertise in power semiconductors, automotive electronics, and industrial chips with Synaptics’ strengths in edge computing, connectivity, sensing, and human-machine interface technologies, creating a broader portfolio aimed at AI-enabled devices operating outside cloud data centers.

Speaking to Reuters, Onsemi Chief Executive Hassane El-Khoury said the acquisition would significantly accelerate the company’s ambitions in physical AI.

“What Synaptics brings to us is this acceleration with a world-class connected compute platform that is already in the markets [that we play in],” El-Khoury said.

He added: “That combination is going to create a market leader in what is to be known as the physical AI realm.”

Physical AI refers to artificial intelligence embedded directly into machines, robots, industrial equipment, vehicles, and connected devices that interact with the real world. Unlike large language models that primarily operate in cloud environments, physical AI combines sensing, computing, decision-making, and actuation to enable autonomous actions in physical environments.

Industry analysts now see physical AI as the next major growth frontier following the explosive demand for AI infrastructure that has driven record spending on GPUs and cloud computing over the past several years.

The acquisition gives Onsemi immediate access to Synaptics’ connected computing platforms, wireless connectivity technologies, and edge AI capabilities, allowing the combined company to address a much broader range of intelligent devices.

El-Khoury said the company also expects to benefit from Synaptics’ leadership in human-machine interface (HMI) technologies, which enable users to interact with electronic systems through touch, voice, gesture, and biometric controls. Beyond consumer electronics, those technologies are becoming increasingly important in autonomous vehicles, industrial automation, medical equipment, and next-generation robotics.

The CEO also highlighted Synaptics’ research and development capabilities in robotics and humanoid systems as a key strategic attraction.

The acquisition puts Onsemi in a position to participate more aggressively in markets expected to experience rapid AI-driven growth over the remainder of the decade, including autonomous factories, collaborative robots, intelligent manufacturing systems, AI-powered medical devices, and smart infrastructure.

According to the company, the transaction will expand its total addressable market by $30 billion, increasing the markets it can pursue to $243 billion by 2030. That projection underscores how semiconductor manufacturers are increasingly redefining themselves as AI platform providers rather than suppliers of individual chip components.

The deal also strengthens Onsemi’s competitive position against larger semiconductor rivals that are making similar bets on edge AI and intelligent computing. Companies across the industry are investing heavily in processors capable of running AI models locally on devices rather than relying exclusively on cloud-based inference. Running AI at the edge reduces latency, improves privacy, lowers bandwidth costs, and enables autonomous operation in environments where internet connectivity is limited or unavailable.

These capabilities are becoming essential for applications ranging from advanced driver-assistance systems and factory automation to drones, wearable devices, and service robots.

While investors welcomed the premium offered to Synaptics shareholders, the market reacted cautiously to the scale of the acquisition. Synaptics shares climbed more than 10% in extended trading following the announcement, reflecting confidence in the agreed valuation.

Onsemi shares, however, fell nearly 10%, suggesting investors remain concerned about the financial execution risks associated with integrating the company’s largest acquisition and the time required to realize expected synergies.

Large semiconductor acquisitions often involve complex integration challenges, including combining engineering teams, aligning product roadmaps, and managing overlapping customer relationships.

Nevertheless, the strategic rationale appears consistent with broader industry trends.

The AI boom is increasingly shifting from training massive foundation models inside hyperscale data centers toward deploying intelligence across billions of connected devices. That transition is expected to generate sustained demand for semiconductors capable of sensing, processing, and executing AI workloads directly on machines operating in the physical world.

For Onsemi, the Synaptics acquisition represents a decisive step toward capturing that opportunity by combining power management, sensing, connectivity, and edge computing under one portfolio. Analysts believe the company is readying up to become a more comprehensive supplier of AI hardware for automotive, industrial, robotics, and intelligent edge applications, sectors that are expected to drive the next phase of semiconductor industry growth.

OpenAI Unveils Three New AI Models, GPT-5.6 Sol, GPT-5.6 Terra and GPT-5.6 Luna, Under U.S. Oversight

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OpenAI on Friday introduced three new frontier artificial intelligence models, but unlike previous launches, their initial deployment will be limited to a small group of trusted partners as the company complies with a new U.S. government oversight process designed to evaluate the national security implications of increasingly powerful AI systems.

The rollout marks another milestone in the Trump administration’s emerging approach to AI governance, which seeks to balance rapid innovation with concerns that advanced models could dramatically enhance offensive cyber capabilities, biological research, and other high-risk applications.

The ChatGPT developer announced in a blog post that its latest models, GPT-5.6 Sol, GPT-5.6 Terra, and GPT-5.6 Luna, will initially be available only to a select group of partners while government reviews continue. OpenAI said broader public access is expected within the coming weeks.

Although the company did not identify the organizations receiving early access, it stressed that restricting deployment was a temporary measure rather than a long-term policy.

“We don’t believe this kind of government access process should become the long-term default,” OpenAI said. “It keeps the best tools from users, developers, enterprises, cyber defenders, and global partners who need them.”

The company added that it had shared the capabilities of the models and its deployment plans with the U.S. government before Friday’s launch.

AI Regulation Enters a New Phase

The limited rollout confirms the Trump administration’s increasingly active role in overseeing frontier AI development. Earlier this month, President Donald Trump signed an executive order directing federal agencies to establish a framework for evaluating powerful AI systems before they are broadly released. While the order stopped short of imposing mandatory licensing or approval requirements, it encouraged developers to voluntarily provide government officials with early access to assess the capabilities and potential risks of new models.

OpenAI said it is cooperating with the administration to help establish that process.

“We are taking this short-term step because we believe it is the strongest path to broader availability in the coming weeks,” the company said.

It added that it is working with the administration to develop a “repeatable process for future model releases,” suggesting the framework could become a standard mechanism for evaluating future frontier AI systems.

The approach represents a notable departure from previous years, when developers typically released new models with minimal government involvement.

The new process follows a high-profile confrontation between Washington and Anthropic earlier this month. Anthropic was forced to suspend international access to its latest Mythos and Fable models after the U.S. government imposed export controls over what officials described as national security concerns surrounding vulnerabilities known as jailbreaks.

The restrictions remain in place while Anthropic continues negotiations with federal officials over security standards and future deployment requirements. That dispute exposed the absence of a common framework for evaluating AI safety and accelerated efforts by both government and industry to establish standardized benchmarks for measuring model risks.

Sol Becomes OpenAI’s Most Capable Model

Among the three newly announced systems, GPT-5.6 Sol represents OpenAI’s flagship offering. According to the company, the model delivers improvements across several advanced domains, including software engineering, scientific reasoning, and biology.

OpenAI also described Sol as its strongest cybersecurity model to date. The company said the model performs significantly better at identifying and fixing software vulnerabilities than at carrying out complete cyberattacks, allowing it to remain below the company’s highest internal risk category.

OpenAI said Sol does not cross its “critical” cybersecurity threshold, defined as introducing “unprecedented new pathways to severe harm.”

The announcement comes as cybersecurity has emerged as one of the principal concerns surrounding frontier AI development, with governments worried that advanced models could enable hackers to discover and exploit vulnerabilities faster than defenders can respond.

Regulators Warn AI Is Accelerating Cyber Threats

Those concerns are extending well beyond the United States. Also on Friday, the president of Switzerland’s financial markets regulator warned that banks and financial watchdogs must rapidly adopt artificial intelligence themselves if they hope to defend against increasingly sophisticated cyberattacks.

Marlene Amstad, president of the Swiss Financial Market Supervisory Authority (FINMA), said AI is fundamentally changing the cybersecurity landscape.

“As hackers move faster, banks must adapt by patching vulnerabilities more rapidly,” Amstad told Reuters.

Her comments followed an international hackathon organized by FINMA and the International Organization of Securities Commissions (IOSCO), which brought together about 100 policy and technology specialists to develop AI-powered supervisory tools for monitoring financial markets, including cryptocurrency trading.

IOSCO represents regulators overseeing approximately 95% of global financial markets, highlighting the scale of international efforts to integrate AI into financial supervision.

Amstad said regulators are also examining whether security safeguards can eventually be embedded directly into digital asset infrastructure rather than relying solely on external monitoring.

The cybersecurity debate is unfolding alongside an increasingly intense international race for AI leadership. Amstad cited recent experience with Anthropic’s Mythos models as evidence that frontier AI can expose new operational vulnerabilities even as it strengthens defensive capabilities.

Despite rising security concerns, Amstad argued that limiting access to advanced models would ultimately weaken cybersecurity rather than strengthen it.

“Switzerland must retain access to the most advanced AI models,” she said, adding that AI will be instrumental in strengthening digital systems before they are deployed.

AI Companies remain under pressure to release more capable systems to maintain technological leadership, while governments are demanding greater visibility into models that could influence cybersecurity, national security, scientific research, and critical infrastructure.

Rather than viewing those objectives as mutually exclusive, OpenAI appears to be taking a position as a partner in developing a new regulatory model, one that allows governments to assess the capabilities of powerful AI systems before public release without permanently restricting access.

Crypto-Backed Candidates Gain Ground in U.S. Primaries, Signaling Industry’s Growing Political Influence

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Candidates supported by the cryptocurrency industry secured a series of notable victories in recent U.S. primary elections, underscoring the sector’s expanding influence in American politics ahead of the general election.

The results reflect the growing role of digital asset advocates in campaign financing and policy debates as lawmakers continue to shape the future of cryptocurrency regulation.

Political action committees (PACs) backed by crypto firms and investors have spent millions of dollars supporting candidates viewed as favorable to blockchain innovation, digital assets, and market-friendly regulations.

Their investments have increasingly targeted competitive congressional races where the outcome could influence future legislation affecting the cryptocurrency industry. Supporters argue that electing pro-crypto lawmakers is essential for maintaining the United States’ leadership in financial innovation.

They contend that clearer regulatory frameworks would encourage investment, create jobs, and prevent blockchain companies from relocating to jurisdictions with more predictable legal environments. The industry’s political engagement has intensified following years of regulatory uncertainty.

Companies operating in digital assets have frequently called for comprehensive legislation that clearly defines the responsibilities of various federal agencies overseeing cryptocurrencies. Many executives believe that inconsistent enforcement has slowed innovation while creating uncertainty for investors and businesses alike.

The recent primary victories suggest that cryptocurrency has become an increasingly significant issue in selected congressional contests.

Candidates who emphasized technological innovation, financial modernization, and balanced oversight often attracted financial support from crypto-focused organizations seeking to influence the direction of future policy.

Critics, argue that the industry’s growing political spending raises concerns about the influence of wealthy special interests in elections. Consumer advocacy groups have urged lawmakers to prioritize investor protection, stronger disclosure requirements, and safeguards against fraud rather than focusing solely on industry growth.

The debate comes as Congress continues considering several proposals that could reshape digital asset regulation. Pending legislation addresses issues including stablecoins, market structure, consumer protections, and the division of authority between financial regulators.

The outcome of these discussions could significantly affect how cryptocurrencies operate within the U.S. financial system. Political analysts note that cryptocurrency has evolved from a niche policy issue into a broader economic and technological debate.

Candidates increasingly discuss blockchain technology alongside artificial intelligence, cybersecurity, and financial competitiveness, reflecting its growing importance within national economic strategy.

The industry’s political momentum also mirrors broader public adoption of digital assets. Millions of Americans now own cryptocurrencies, prompting elected officials to pay closer attention to voter concerns surrounding taxation, investment protections, and access to digital financial services.

Despite the primary successes, observers caution that winning general elections may present greater challenges. Candidates will need to appeal to broader constituencies where issues such as inflation, healthcare, immigration, and national security often outweigh digital asset policy.

Crypto-related campaign funding is expected to remain a prominent feature throughout the election cycle. For the cryptocurrency sector, the recent primary victories represent more than individual electoral wins.

They demonstrate an organized effort to shape public policy through the political process, reflecting the industry’s determination to secure regulatory clarity and long-term legitimacy within the American financial landscape.

As campaigning intensifies ahead of November’s elections, the role of cryptocurrency in political fundraising and legislative priorities is likely to receive even greater scrutiny. Whether these early victories translate into lasting policy changes will depend not only on election outcomes.