RT Bloomberg New Economy (@BBGNewEconomy)"AI is not a technology where we have national borders, you launch a model and it's available worldwide."COO of @GoogleDeepMind, @lilaibrahim shares the process behind the development of Google's AI models.⏯️ https://t.co/Sqkf8dKmnN https://t.co/v0JizmZTFR ...

Meta Platforms ( META ) is one of the biggest players in the generative artificial intelligence (AI) race. The company has developed some of the best-reviewed AI models, most ofAnalyst’s Disclosure:I/we have a beneficial long position in the shares of GOOG either through stock ownership, options, or other derivatives. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose st ...

AI Model Updates - Baidu released the latest version of its flagship AI models [1] - The release aims to maintain competitiveness in China's AI market [1]

Market Sentiment - The market is experiencing a sense of relief as the government shutdown has ended, allowing for better visibility on macroeconomic data and reducing the economic impact on sectors like air traffic [2][10] - There is an expectation that the stock market will rebound as investors regain confidence [1] AI Sector Insights - The AI trade remains fundamentally strong, with significant visibility for AI spending and ongoing innovation in models [3][4] - Despite concerns about high valuations, companies like Nvidia are trading at reasonable multiples, such as 29 times forward earnings, which is lower than other retail giants like Costco [4][5] - Some AI stocks, like Palantir, are perceived as potentially overvalued, but the market is still determining the appropriate valuation model for such companies [6][8] Market Performance and Fund Management - The S&P 500 has seen an 80% increase over the past three years, leading to a challenging environment for fund managers, with only 21% outperforming this benchmark [10] - The market is expected to follow a seasonal pattern, with increased buying activity as the year-end approaches [10] Capital Expenditure in AI - The AI industry is characterized by a need for scale, requiring significant investment in infrastructure, similar to past developments in telecom and energy sectors [12][13] - A few major players dominate the AI landscape, and their investments are crucial for the growth of a broader ecosystem [14]

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AI应用 - AI模型正被全球范围内的人们用于不同程度的陪伴，包括虚拟伙伴、导师、治疗师或恋人 [1]

Core Insights - International investors are increasingly looking to diversify their portfolios with non-US-dollar assets, particularly in Mainland China, Hong Kong, Japan, and India, as they seek growth opportunities in the coming years [1] Group 1: Market Sentiment - David Solomon, CEO of Goldman Sachs, emphasized China's significance as a major global economy, stating that global capital allocators will remain interested in China regardless of the economic environment [2] - Solomon provided an optimistic outlook for Hong Kong and mainland Chinese stocks during a panel discussion at the Global Financial Leaders' Investment Summit [3] Group 2: Investment Trends - Approximately 80% of international investors have shifted to Chinese equities since last year, which accounted for half of the US$6 trillion lost due to stock disposals from 2020 to 2022, a period affected by a downturn in the property market and the Covid-19 pandemic [4] - The Hang Seng Index in Hong Kong has surged by 35% this year, driven by the performance of Chinese tech stocks, particularly following the global attention on AI start-up DeepSeek [5] Group 3: Market Performance - The average daily turnover of the Hong Kong stock exchange reached HK$256.4 billion (US$33 billion) in the first nine months of this year, marking a 124% increase from the previous year [6] - Solomon noted that many Chinese equities appear very attractive as valuations rise, whether due to specific events like the DeepSeek moment or a more normalized long-term view [6] Group 4: Strategic Importance - Ted Pick, CEO of Morgan Stanley, echoed the sentiment that Hong Kong and China are critical markets for investors who value great companies and market dispersion [7]

Core Insights - Microsoft will invest $15.2 billion in the UAE over the next four years, marking a significant expansion in the region's AI capabilities [1] - The investment includes the first-ever shipments of advanced Nvidia GPUs to the UAE, facilitated by a U.S. export license [1][3] - The deal positions the UAE as a key player in the global AI landscape and a regional hub for American AI influence [2] Investment Breakdown - The $15.2 billion investment includes over $7.3 billion to be spent in the UAE from 2023 to the end of 2025, which encompasses a $1.5 billion equity investment in G42 and over $4.6 billion in capital for data centers [5] - From 2026 to 2029, Microsoft plans to invest an additional $7.9 billion, including $5.5 billion for AI and cloud infrastructure expansion [7] AI Infrastructure and Talent Development - Microsoft has accumulated the equivalent of 21,500 Nvidia A100 GPUs in the UAE, utilizing these chips to provide access to various AI models [4] - The company aims to train one million residents by 2027 and establish Abu Dhabi as a regional hub for AI research and model development [8] Strategic Partnerships - The investment coincides with a $9.7 billion deal signed with Australia's IREN for AI cloud capacity, indicating Microsoft's broader strategy in the AI sector [9]

The newest job on Wall Street doesn’t involve early mornings or late nights, or even Wall Street itself. It’s fully remote, pays $150 an hour, and involves teaching AI how to do the work of investment-banking analysts. That’s the premise of Project Mercury, a secretive OpenAI effort to automate the grunt work of finance typically done by real, live investment-banking analysts. According to Bloomberg, OpenAI has hired more than 100 former bankers from JP Morgan, Morgan Stanley, Goldman Sachs, and similar f ...

Core Insights - Meta CEO Mark Zuckerberg emphasizes the importance of investing heavily in artificial intelligence, suggesting that over-investment is preferable to under-investment [2][4] Investment Strategy - Meta has made a significant $14.3 billion investment in Scale AI to revamp its AI unit, now called Superintelligence Labs [2] - The company is expanding its data centers and forming cloud-computing partnerships with Oracle, Google, and CoreWeave to support its AI ambitions [3] Financial Performance - Meta's capital expenditures (capex) for the year are now projected to be between $70 billion and $72 billion, an increase from the previous guidance of $66 billion to $72 billion [5] - In the third quarter, Meta reported a revenue increase of 26% year-over-year, reaching $51.24 billion, surpassing analyst expectations of $49.41 billion [8] Market Position - Despite the positive revenue growth, Meta's stock fell approximately 8% following the earnings call, contrasting with Alphabet's stock, which rose by 6% [6] - Zuckerberg indicated that if Meta were to have excess computing power, it could potentially offer this capacity to third parties, although this is not currently a concern [6] Future Outlook - Zuckerberg believes that the substantial investments in AI will yield significant returns over time, contributing positively to Meta's core business [4][8] - In a worst-case scenario, if Meta ends up with excess data center capacity, it would lead to asset depreciation, but the company expects to utilize this capacity effectively over time [7]