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Japan’s government bond market, long viewed as a pillar of global financial stability, is showing signs of strain and investors around the world are paying close attention.

In mid-January, yields on Japan’s 40-year government bonds surged above 4% for the first time in more than three decades, marking a dramatic shift for a market once defined by ultra-low rates and minimal volatility. The move reflects a combination of structural and political changes that are reshaping investor expectations.

A key factor is the gradual retreat of the Bank of Japan from its long-standing role as the dominant buyer of government debt. After decades of aggressive bond purchases aimed at combating deflation, the BOJ has begun scaling back its holdings as inflation finally takes hold. With the central bank stepping aside, demand from other investors has struggled to fill the gap, leading to weaker auctions and heightened price swings.

Fiscal policy has added to market unease. Prime Minister Sanae Takaichi’s government recently approved a ¥21.3 trillion stimulus package – the largest since the pandemic – alongside proposals to suspend the country’s food sales tax. Investors fear these measures will require increased bond issuance at a time when demand is already fragile. Neither the ruling coalition nor the opposition has offered clear funding plans, raising broader concerns about fiscal discipline.

While higher yields have attracted foreign investors seeking improved returns, domestic institutions remain cautious. Japanese life insurers, major holders of long-dated bonds, have already reported significant unrealized losses as yields rise. Continued volatility risks further balance-sheet pressure across the financial sector.

The implications extend beyond Japan. Rising yields in the world’s third-largest bond market could spill over globally, particularly as governments elsewhere grapple with persistent deficits and inflation risks. US and European bond markets have already faced upward pressure following renewed trade tensions and shifting expectations around central bank rate cuts.

Both Japanese policymakers and global officials are monitoring developments closely. The BOJ has signaled it is prepared to adjust bond purchases if volatility threatens market stability, while the government has shifted issuance toward shorter-term debt to limit pressure on long-term yields.

Still, with inflation re-emerging and fiscal expansion firmly on the agenda, Japan’s bond market may no longer serve as the global anchor it once was – marking a significant turning point for investors worldwide.

A new survey of senior financial executives suggests that artificial intelligence will initially expand, rather than shrink, the workforce across the financial services sector. The findings challenge the widespread assumption that automation will quickly translate into large-scale job cuts and lower operating costs.

According to Bloomberg Intelligence, which surveyed 151 executives at banks, insurers, and asset managers, roughly two-thirds of financial institutions expect staff numbers to increase in the early phase of AI adoption. More than 70% of respondents also anticipate higher operating expenses over the next three years, as firms make significant investments in technology, infrastructure, and capability development.

Bloomberg Intelligence analysts Diksha Gera and Tomasz Noetzel said this early stage of AI integration is less about cost reduction and more about “building the foundation” for long-term automation. They noted that firms are still laying the groundwork – training employees, restructuring workflows, and implementing governance systems – before AI can deliver large-scale efficiency gains. According to the report, cost ratios may begin to normalize after 2027-2028, potentially unlocking meaningful margin expansion.

The pace of AI adoption in financial services has so far been slower than in sectors such as retail or technology, largely due to stricter compliance requirements and higher risk-management thresholds. Still, several major institutions, including ING Groep, Allianz, and Goldman Sachs, have linked AI initiatives to future headcount reductions, signaling that longer-term efficiency gains remain part of the industry’s strategy.

Despite the cautious rollout, analysts generally agree that AI is set to transform the sector. Research from UBS Group AG suggests that banks may emerge as some of the biggest beneficiaries of rapidly improving AI technologies, with early signs potentially visible as soon as next year. UBS analyst Jason Napier wrote that 2026 could mark a turning point, as equity markets begin to price in AI-driven productivity gains even before hard data fully materializes.

Across industries more broadly, executives view the disruptive potential of AI as “high” to “very high.” Pharma companies expect significant reductions in drug-development costs, media executives anticipate personalized content and lower production expenses, and consumer companies foresee AI agents evolving into “shopping companions.”

While the long-term impact remains unmistakable, the message from Wall Street’s early experience is clear: the AI revolution will require more people – not fewer – before its promised efficiencies materialize.

Gold surged past $4,700 an ounce to a record high on Tuesday, while silver also reached an all-time peak, as escalating tensions between the United States and Europe over Greenland triggered a rush into safe-haven assets.

The rally followed President Donald Trump’s renewed push to take control of Greenland, a move that has alarmed European leaders and raised fears of a potential US–Europe trade war. Markets are now watching closely for Europe’s response after Trump threatened to impose tariffs on eight European nations opposing his ambitions.

Geopolitical uncertainty revived the so-called “Sell America” trade, weakening confidence in US assets and boosting demand for precious metals. Gold climbed 1% to around $4,716 an ounce in Asian trading, briefly touching a record $4,717.78, while silver earlier hit a historic high near $94.73.

Analysts say the Greenland dispute has intensified an already powerful rally in metals, fueled by rising geopolitical risk, concerns over central bank independence and growing skepticism toward traditional financial assets.

Additional support came from renewed political pressure on the Federal Reserve, reviving worries about the independence of US monetary policy. Investors are also monitoring an upcoming US Supreme Court hearing related to Trump’s attempt to remove a Fed governor, which could further unsettle markets.

With platinum and palladium also advancing, strategists warn that precious metals may remain volatile but well supported as geopolitical and policy risks continue to mount.

Alphabet Inc.’s Google plans to release its first AI-powered smart glasses in 2026, entering a fast-growing market currently led by Meta. The company is developing two models – one with integrated displays for AR experiences and another focused on audio – in collaboration with partners including Samsung, Warby Parker and Gentle Monster.

The glasses will connect wirelessly to a smartphone, allowing Google’s Gemini AI to handle tasks such as real-time translation, navigation, recipe suggestions, and AI-enhanced photography. Google showcased both monocular and binocular prototypes, with AR overlays for Google Maps, Google Meet and other apps. Users can also disable the display and rely solely on audio functionality.

The initiative represents Google’s more mature return to the category after the early failures of Google Glass. The company is also working with Xreal on Project Aura, a standalone XR device running Android XR with a wider field of view and full hand tracking.

Alongside the glasses, Google announced key software upgrades for Samsung’s Galaxy XR headset, including a travel mode for use in cars and airplanes, a new PC Connect app that mirrors any Windows PC inside the virtual environment, and more realistic face-scan avatars.

With Meta, Snap and Apple preparing next-generation AR and AI glasses, Google’s push signals a renewed effort to secure a leading position in the emerging wearable AI market ahead of 2026.

China’s fast-advancing artificial intelligence startup DeepSeek has unveiled two upgraded versions of its experimental model, marking a significant step forward in the global race toward next-generation AI systems. The new releases, known as DeepSeek-V3.2 and DeepSeek-V3.2-Speciale, add substantial improvements in reasoning, mathematical competence and autonomous tool-use, positioning the company as a growing challenger to leading Western developers such as OpenAI and Google.

The DeepSeek-V3.2 model replaces the earlier experimental version released only weeks ago, which carried the suffix “Exp” to emphasize its developmental status. The startup now claims that the refined model matches the performance of OpenAI’s flagship GPT-5 across several high-level reasoning benchmarks. This achievement is particularly notable given DeepSeek’s open-source approach, which has increasingly demonstrated competitiveness against proprietary frontier systems from Silicon Valley.

In addition to enhanced reasoning, DeepSeek-V3.2 incorporates the ability to autonomously use external tools, including search engines, calculators and code execution modules. This integration allows the model to combine human-like problem-solving with practical digital actions. According to the company, this version is the first in its lineup to fuse internal “thinking” processes directly with tool-use capabilities, enabling it to operate in both analytical and non-analytical modes depending on the task.

DeepSeek also introduced a second model, DeepSeek-V3.2-Speciale, which is designed to excel in mathematically intensive and long-horizon reasoning challenges. The company describes this model as part of an effort to push the inference limits of open-source AI and explore the boundaries of what these systems can achieve. Early performance claims indicate that Speciale matches Google’s newly released Gemini-3 Pro and performs at gold-medal levels on elite academic contests such as the International Mathematical Olympiad and the International Olympiad in Informatics. These benchmarks have traditionally been dominated by highly specialized proprietary models.

Alongside the new models, DeepSeek announced the development of a novel training methodology for AI agents – autonomous systems capable of independently pursuing objectives, interpreting their environment, analyzing information and making decisions without continuous human oversight. The company did not provide technical details, but emphasized that this research direction is fundamental to its vision for next-generation artificial intelligence.

DeepSeek first drew global attention in January when one of its earlier models delivered unexpectedly strong performance, prompting comparisons with much larger Western competitors. The rapid release cycle of the V3.2 family suggests that Chinese AI developers are accelerating their efforts to close the technological gap and, in some domains, directly challenge U.S. leadership.

The debut of DeepSeek-V3.2 and V3.2-Speciale reinforces China’s emerging role as a serious contender in frontier AI research. As both models begin to circulate in open-source communities and enterprise testing environments, the rivalry between Chinese and U.S. developers is set to intensify, reshaping the competitive landscape of the global AI industry.

Stablecoin issuer Tether has joined a €70 million ($81.6 million) funding round for Generative Bionics, an Italy-based humanoid-robotics startup leveraging research from the Italian Institute of Technology. The investment marks another strategic step in Tether’s rapid expansion into artificial intelligence, advanced computing and deep-tech sectors.

The round was led by CDP Venture Capital, Italy’s state-backed investor, through its Artificial Intelligence Fund. Other participants include AMD Ventures, the venture arm of US semiconductor firm Advanced Micro Devices, along with several industrial backers.

According to Generative Bionics, the newly raised capital will accelerate product development, the training of physical AI systems, and the company’s move toward industrial-scale deployment. The startup will integrate 70 engineers from the Italian Institute of Technology as part of its expansion and aims to debut its first fully assembled humanoid robot at CES in Las Vegas this January.

Generative Bionics specializes in building advanced robotic systems for industrial environments, combining tactile sensing, learning architectures, and human–robot interaction technologies. Its robots are designed for applications in manufacturing, logistics and operational automation, where AI-driven adaptability is increasingly in demand.

For Tether, the investment adds to a growing list of ambitious initiatives outside its core stablecoin business. Backed by large reserves and benefiting from high interest rates, Tether expects to generate around $15 billion in profits this year, much of which is being reinvested into emerging technologies. The company has recently taken positions across commodities, AI, data infrastructure, and even brain-computer interfaces, including its backing of Blackrock Neurotech.

Tether CEO Paolo Ardoino has previously stated that the company’s expansion into artificial intelligence is aimed at building a future internet where individuals maintain stronger control over their personal data.

With its latest investment, Tether is positioning itself at the intersection of robotics and AI – sectors accelerating rapidly as automation reshapes global industry. Generative Bionics’ upcoming launch at CES will now be a closely watched milestone in that evolution.