Rules of the Game for Chipmakers Selling to China
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
15 minutes ago
- Yahoo
Tencent's Earnings Beat Sparks Price Targets Showing 16% Gain
(Bloomberg) — Chinese social media giant Tencent Holdings Ltd.'s ( TCEHY) strong earnings beat this week led more than two dozen analysts to lift their price targets for its stock, suggesting room for double-digit percentage gains over the next 12 months. Tencent's target price consensus has jumped by more than 5% to HK$688 since it reported quarterly results on Wednesday, according to Bloomberg calculations. That is the second biggest post-earnings jump in its price target over the past five years, beaten only by a March shift fueled by optimism around AI start-up DeepSeek. The US-Canadian Road Safety Gap Is Getting Wider Festivals and Parades Are Canceled Amid US Immigration Anxiety To Head Off Severe Storm Surges, Nova Scotia Invests in 'Living Shorelines' Five Years After Black Lives Matter, Brussels' Colonial Statues Remain For Homeless Cyclists, Bikes Bring an Escape From the Streets The new consensus price suggests potential gains of almost 16% over the next 12 months, based on the stock's HK$594.50 price during Friday's trading session. At least 16 brokers are now forecasting the company's shares to rally above its historical high seen in 2021, erasing losses triggered by China's years-long crackdown on the private sector. They are bullish about the company's upcoming release of mobile game next Tuesday, seen as a key driver of its second-half gaming revenue. Tencent reported a 15% jump in revenue to 184.5 billion yuan ($25.7 billion) in the June quarter, beating analysts' projections. That was driven by double-digit growth in most major business segments including advertising, which it attributed to AI-driven enhancements. Americans Are Getting Priced Out of Homeownership at Record Rates What Declining Cardboard Box Sales Tell Us About the US Economy Bessent on Tariffs, Deficits and Embracing Trump's Economic Plan Dubai's Housing Boom Is Stoking Fears of Another Crash Twitter's Ex-CEO Is Moving Past His Elon Musk Drama and Starting an AI Company ©2025 Bloomberg L.P. Sign up for the Yahoo Finance Morning Brief By subscribing, you are agreeing to Yahoo's Terms and Privacy Policy 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
18 minutes ago
- Yahoo
Zoomlion Showcases Robotics Innovations at World Robot Conference, Driving the Future of Smart Manufacturing
BEIJING, Aug. 15, 2025 /PRNewswire/ -- Zoomlion Heavy Industry Science & Technology Co., Ltd. ("Zoomlion"; showcased its latest achievements in industrial and humanoid robotics at the 2025 World Robot Conference (WRC) in Beijing from August 8 to 12. Representing its combined role as a robotics user, systems integrator, and developer, Zoomlion presented new applications, core technology breakthroughs, and a forward-looking plan for intelligent manufacturing. "Industrial and humanoid robots are not replacements, but partners in a new manufacturing paradigm. Our goal is to enable robots to adapt to their environment, advancing manufacturing toward higher quality, greater efficiency, and enhanced intelligence," said Zeng Guang, General Manager of Zoomlion's ZValley Technology Co. Ltd. Zoomlion's robotics journey spans nearly two decades, beginning in 2006 with programmable industrial robots for large-scale, single-product manufacturing. From 2019, the company deployed adaptive robots with vision and force sensing, supported by an industrial internet architecture to achieve agile, multi-model production. This capability is exemplified by the Zoomlion Smart Industry City in Changsha, where over 2,000 adaptive robots operate on 300 intelligent lines, producing cranes, excavators, aerial work platforms, and concrete machinery. The facility can switch between models in minutes, achieving high-mix, low-volume production at scale. In 2024, Zoomlion began exploring the use of humanoid robots to meet automation needs beyond the reach of industrial robots. The company has developed three models, two wheeled and one bipedal, with dozens in pilot operations in machining, logistics, assembly, and quality inspection. These robots feature full-scene multimodal perception and intent recognition, integrated vision, force, and tactile sensing for precision grasping, and dual-arm collaborative motion planning with safety perception. To accelerate deployment, Zoomlion built a training facility with over 100 workstations and launched an AI-native cloud platform for large-scale data acquisition and model training. These advancements are embedded in Zoomlion's intelligent manufacturing ecosystem. Its industrial internet platform connects over 1.7 million units of equipment worldwide, spanning 18 categories and more than 600 models, and collects over 30,000 data parameters to create petabyte-scale industrial assets. This infrastructure powers the continuous evolution of both industrial and humanoid robotics, enabling real-time coordination and adaptive production. Looking ahead, Zoomlion aims to create a new production model through the co-evolution of hardware and software, enabling industrial and humanoid robot clusters to work together and build smart factories with self-perception, self-adaptation, and self-decision-making capabilities. SOURCE Zoomlion 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
34 minutes ago
- Yahoo
CoinDesk Parent Bullish IPO Priced Over Range
Crypto firm Bullish raises $1.1 billion in an IPO. The owner of media outlet CoinDesk priced its shares above the marketed range. Bloomberg's Anthony Hughes speaks with Caroline Hyde and Ed Ludlow on "Bloomberg Tech." 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
