
Nomura CEO's Pay More Than Doubles After Profit Hits a Record
Nomura Holdings Inc. more than doubled Kentaro Okuda's pay last year, rewarding the chief executive officer for guiding Japan's largest brokerage to a record annual profit.
Okuda's compensation rose to ¥1.208 billion ($8.2 million) in the year ended March 31 from ¥506 million a year earlier, according to a filing Monday. Christopher Willcox, the firm's highest-paid executive officer, who oversees trading and investment banking, saw his remuneration jump 25% to $15 million.
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Bloomberg
24 minutes ago
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Measures to Ease Inflation Must be Speedy, Says Japan's Ishiba
Any measures to ease inflation in Japan must be speedy and shouldn't impede the government's ability to fund social services, Japan's Prime Minister Shigeru Ishiba said on Sunday, in a comment reflecting his aversion to sales tax cuts as opposition parties campaign to lower the duty ahead of a key election next month. 'We must secure the necessary funds for medical care, elderly care, and pensions. On top of that, the response to the current inflationary trends needs immediacy. It needs to be speedy,' Ishiba said on Sunday at a conference hosted by non-profit organization Japan Productivity Center. He added that measures to counter inflation must reach those most in need, and touted recent steps that eased rice and gasoline prices as examples.
Yahoo
an hour ago
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What Are the 5 Best Artificial Intelligence (AI) Semiconductor Stocks to Buy Right Now?
Nvidia remains the GPU leader, while AMD has an AI inference opportunity. Both Broadcom and Marvell have opportunities with custom AI chips. TSMC wins as long as the AI chip market continues to grow. 10 stocks we like better than Nvidia › Spending on artificial intelligence (AI) infrastructure continues to rise, setting the stage for companies in the AI chip space to outperform over the coming years. The growth in AI infrastructure is being led by a combination of cloud computing operators investing heavily to keep up with demand, AI start-ups and large tech companies racing to build out the best foundational large language models (LLMs), and even countries investing in AI. Five of the best AI semiconductor companies to invest in right now to profit from this trend are Nvidia (NASDAQ: NVDA), Advanced Micro Devices (NASDAQ: AMD), Broadcom (NASDAQ: AVGO), Marvell Technology (NASDAQ: MRVL), and Taiwan Semiconductor Manufacturing (NYSE: TSM). Let's look at what each brings to the table. Nvidia's graphics processing units (GPUs) have become the backbone of AI infrastructure, providing the power needed to run AI workloads. The strength of GPUs comes from their ability to use parallel processing, which simply means they can perform many tasks at once. This is ideal for AI because the technology requires tons of calculations to be done quickly. Nvidia's wide moat, however, comes from its CUDA software platform. GPUs were originally designed to speed up graphics rendering in video games, and Nvidia created CUDA as a way to allow developers to program its chips for other tasks. With the market outside of gaming slow to develop, rivals were slow to develop their own software platforms. Nvidia pushed CUDA into universities and research labs, where developers were taught on its systems. It has since built out tools and libraries on top of CUDA to improve the performance of its GPUs, giving it a big advantage in the space. In the first quarter, it had a whopping 92% market share in the GPU space. As such, where AI infrastructure spending heads, Nvidia is sure to follow. As a distant No. 2 player to Nvidia in the GPU market, AMD has established itself as a leader in central processing units (CPUs) used in the data center space. While GPUs provide the power, CPUs act as the brains. It's a solid, growing market, but much smaller than the one for GPUs. However, the company has carved out a solid niche with its GPUs in the AI inference market, where performance demands are lower and cost becomes a bigger factor. That helps level the playing field with Nvidia, whose CUDA advantage is less critical here. With inference expected to become the (much) larger of the two markets over time, AMD has a lot of growth potential, even if it can only take a little market share away from Nvidia in the future. Broadcom is a networking leader whose technology helps improve the flow of data across data centers and AI clusters. Its Ethernet switches and other components are essential for handling the massive data traffic in high-performance computing environments, so that everything runs smoothly and does not get backed up. As AI clusters get bigger, its networking portfolio becomes even more valuable, given its role in managing congestion and scaling bandwidth efficiently. That said, while its networking portfolio is currently the main driver of its growth, custom AI chips are its biggest opportunity. Broadcom played a critical role in helping Alphabet develop its custom Tensor Processing Units (TPUs), and that success has led to an increasing list of custom AI chip customers. While most of these chip customers are in the early stages, the company sees its three furthest-along custom AI chip customers as a $60 billion to $90 billion serviceable market opportunity in fiscal 2027. While it won't capture all of this, it's a huge growth opportunity that doesn't even include newer customers, such as Apple. Broadcom isn't the only company helping customers build custom AI chips. Marvell has contributed IP (intellectual property) and interconnect technology used in Amazon's custom chips like Graviton and Trainium. While there's some concern Amazon could eventually look to bring more of the work in-house or shift to other partners, Marvell expects its broader relationship to grow. In addition to providing IP for its custom chips, Marvell also reportedly supplies networking chips, connectivity solutions, and storage controllers to Amazon, which are key components for scaling AI infrastructure. Marvell is also believed to be providing IP to Microsoft's new custom chip, Maia. J.P. Morgan analysts noted that it recently won a deal to be part of future generations of the new chip. This program is still in its very early stages, but it could be a significant revenue growth driver in the future. While the above companies are involved in the design of chips, Taiwan Semiconductor Manufacturing is the one generally making them. As such, it doesn't matter who is the biggest AI chip winner or who takes market share -- Taiwan Semiconductor wins as long as AI infrastructure and chip spending continue to grow. Because of its technological expertise and scale, and the struggles of its main competitors, TSMC has become the world's primary manufacturer of advanced chips. It's been seeing strong growth, driven by capacity expansion and price increases. TSMC is working closely with its largest customers to help meet growing chip demand, which should pave the way for years of strong growth ahead. Before you buy stock in Nvidia, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and Nvidia wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $704,676!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $950,198!* Now, it's worth noting Stock Advisor's total average return is 1,048% — a market-crushing outperformance compared to 175% for the S&P 500. Don't miss out on the latest top 10 list, available when you join . See the 10 stocks » *Stock Advisor returns as of June 23, 2025 JPMorgan Chase is an advertising partner of Motley Fool Money. Suzanne Frey, an executive at Alphabet, is a member of The Motley Fool's board of directors. Geoffrey Seiler has positions in Alphabet. The Motley Fool has positions in and recommends Advanced Micro Devices, Alphabet, Apple, JPMorgan Chase, Microsoft, Nvidia, and Taiwan Semiconductor Manufacturing. The Motley Fool recommends Broadcom and Marvell Technology and recommends the following options: long January 2026 $395 calls on Microsoft and short January 2026 $405 calls on Microsoft. The Motley Fool has a disclosure policy. What Are the 5 Best Artificial Intelligence (AI) Semiconductor Stocks to Buy Right Now? was originally published by The Motley Fool Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

Yahoo
2 hours ago
- Yahoo
Tesla Has Big Plans in China
Tesla is moving forward with plans to develop new operations in China despite the ongoing trade war between the United States and China, and with uncertainty over tariffs. In June, Tesla signed an agreement to develop a grid-scale battery power plant in China to help provide the country with a stable supply of clean power for consumers and support its aims for a green transition. However, Tesla will be competing with some of the world's biggest battery manufacturers for a market share, as it strives to break into new territory, beyond electric vehicle (EV) manufacturing. The U.S.-based EV giant Tesla began as a Silicon Valley startup around two decades ago. Elon Musk joined the company as its chairman and principal funder in 2004, becoming its CEO in 2008. Tesla was viewed as a pioneer in the world of EVs, investing in a new way of driving when most automakers were only just beginning to float the idea. The EV firm dominated the U.S. and European EV market for several years, offering consumers a variety of wholly electric car models ahead of many of its much larger competitors. The Tesla Model S, which went on sale in 2012, had sports car performance and a range of over 250 miles, at a time when most competitors were offering far slower EVs with a comparatively low range. By 2020, Tesla held a 60 percent share of the U.S. EV market, a figure that fell to 38 percent in 2024, as hundreds of highly competitive EVs flooded the market. However, over time, Tesla has become more than just an EV manufacturer. The company has invested in the development of autonomous driving systems, aiming to deliver driverless 'robotaxis' to cities worldwide. It also has a burgeoning energy-storage business and is working on developing a humanoid robot, known as Optimus. While its EV business is faltering, as far more fully electric options enter the market, many from reputable automakers and at a lower cost, Tesla remains optimistic about its other projects. In June, Tesla announced it had signed a deal to develop the largest grid-scale battery power plant of its kind in China. The utility-scale battery storage system will be used to balance the supply and demand of energy to the grid, helping to deliver a stable supply of renewable electricity to consumers. The deal is thought to be worth $556 million. Tesla's first battery factory in Shanghai has produced over 100 Megapacks – the batteries used for utility-scale deployment – in the first quarter of the year, according to Tesla. One Megapack can provide up to 1 MW of power for four hours. The company stated, 'The grid-side energy storage power station is a 'smart regulator' for urban electricity, which can flexibly adjust grid resources.' The use of Megapacks is expected to boost energy security by ensuring that a stable supply of renewable electricity is delivered to consumers. China has invested heavily in its solar and wind energy sectors for several decades to become the biggest renewable energy power in the world. The Asian giant once again broke records last year when it installed huge quantities of green energy. China's installed solar and wind power capacity climbed 45.2 percent and 18 percent, respectively, in 2024, according to the National Energy Administration. There is now 886.67 GW of installed solar power, marking an increase from 609.49 GW in 2023, as well as a wind energy capacity of 520 GW. China hit its 2030 renewable energy capacity target in July last year, six years ahead of schedule. China's huge renewable energy capacity means that it is vital that the country install utility-scale battery storage at several of its major wind and solar farms to ensure that the clean energy supply is not limited only to the hours of the day in which the sun is shining and the wind is blowing. Battery storage will help China shift its reliance away from fossil fuels in the coming decades as it attempts to decarbonise the economy. Tesla is competing against China's CATL and the automaker BYD in developing battery storage. CATL currently holds around 40 percent of the global market share for battery manufacturing, and the firm was previously expected to provide the battery cells and packs used in Tesla's Megapacks. In addition, Tesla is taking a gamble as the project comes at a time when China is facing a trade war with the U.S., with President Trump having recently imposed high tariffs on Chinese imports. China now has a grid-scale battery capacity of around 40 GW. However, this will have to grow immensely in the coming years to help meet the country's green transition aims. In addition, other countries around the world will be looking to expand their utility-scale battery installations, which could lead Tesla to export more batteries from China. By Felicity Bradstock for More Top Reads From this article on Sign in to access your portfolio