Wells Fargo (NYSE: WFC) analyst Ken Gawrelski apparently took Google’s (NASDAQ: GOOGL) Friday, February 20 rally as a sign it was time to alter the previously-neutral rating for the technology giant’s equity.Specifically, the Wall Street expert elected to raise his recommendation for GOOGL shares from ‘Neutral’ to ‘Buy’ on Monday, February 23, while simultaneously raising his 12-month price target from $353 to $387.With Google stock trading at $315 following a 0.05% decline year-to-date (YTD) and a 5-day ra ...

Core Insights - AppLovin shares surged 11.2% last week, driven by Bank of America's defense of the stock after a post-earnings sell-off [1] - Tempus AI also saw an 11% increase, attributed to a preliminary Q4 report showing an 83% year-over-year revenue growth [1] - Micron Technology gained 4.01% as Bank of America raised its price target due to increasing AI memory demand [1] AppLovin - AppLovin's stock price increased significantly after Morgan Stanley raised its price target to $800, maintaining an Overweight rating [1] - The company reported Q4 2025 revenue of $1.66 billion, a 66% increase year-over-year, with an adjusted EBITDA margin of 84% [1] - Despite the recent gains, AppLovin is still down approximately 38% year-to-date from January highs, leading to discussions about its valuation among investors [1] Tempus AI - Tempus AI's stock rose following a preliminary Q4 2025 report indicating revenue of $367 million, an 83% increase year-over-year, and a record total contract value exceeding $1.1 billion [1] - The diagnostics segment experienced a remarkable growth of 121% year-over-year [1] - CEO Eric Lefkofsky expressed confidence in the company's strong position entering 2026, with a net revenue retention rate of 126% [1] Micron Technology - Micron's stock price increased after Bank of America raised its price target, citing accelerating demand for high-bandwidth memory in AI infrastructure [1] - The company reported cloud memory revenue of $5.28 billion in fiscal Q1 2026, nearly doubling year-over-year, with a gross margin of 66% [1] - Micron is recognized as one of the few companies capable of supplying high-bandwidth memory at scale, with 37 out of 43 analysts rating the stock as a buy or strong buy [1] AI Sector Overview - The VanEck Semiconductor ETF rose 1.8%, indicating a positive trend in the AI sector, particularly in semiconductors [1] - Software stocks are struggling, while segments like memory and networking are experiencing strong gains [1] - The broader AI market is characterized by significant divergence, with semiconductors leading the performance [1]

格隆汇2月23日｜富国银行将谷歌评级从"平配"上调至"超配"，目标价从354美元上调至387美元。 ...

Group 1: Supreme Court Ruling and Tariff Implications - The Supreme Court ruled 6-3 to void most tariffs imposed by Trump, stating the emergency law used did not permit such tariffs [1] - Trump announced a new global levy of 10% to 15% that may last five months while seeking more sustainable solutions [1] Group 2: Market Reactions and Corporate Concerns - The stock market reacted positively to the Supreme Court's decision, with all three main indexes showing weekly gains, and the Nasdaq ending a five-week losing streak [4][5] - Corporate America is facing significant uncertainty regarding planning due to fluctuating tariffs and supply chain issues, as highlighted by Arthur Laffer Jr. [2] Group 3: Sector Performance and Earnings Outlook - High stock valuations and fears of AI disruption have pressured technology and other sectors, with the S&P 500 software and services index down over 20% this year [7][10] - Major software firms' earnings, including Salesforce and Intuit, are anticipated this week, as investors seek insights into the impact of AI spending [7][10] Group 4: Individual Stock Movements - Eli Lilly's stock rose 4% following positive trial results against a competitor's obesity drug [8][10] - Cryptocurrency-related stocks fell as Bitcoin dropped approximately 2%, affecting companies like Coinbase Global [8][10] - Gold and silver miners saw gains, with Newmont and Hecla Mining increasing by 1.1% and 2.5% respectively [8][10]

作者：艾布拉姆・布朗 单从表面来看，科技界有头有脸的人物都想在人工智能领域分一杯羹。而聪明的人会扪心自问：自己选 定的赛道是否真的具备潜力。 我承认，没人能百分百确定，但我想到了一个万无一失的判断方法：环顾四周，问问自己 ——谷歌来 了吗？它是不是想把你挤走？ 自从 ChatGPT 的问世打了谷歌一个措手不及后，这家加州山景城的科技巨头便奋起直追，近期更是展 现出永不停歇的进取姿态。就在本周，谷歌将矛头直接对准了音乐行业，在其 Gemini 聊天机器人中推 出全新功能，可生成 30 秒音乐片段，还能自定义歌词和音频。在此之前，Gemini 已在图像生成等领域 实现技术突破，一举跻身顶尖聊天机器人行列。 这项全新的音乐生成功能，足以让 Spotify 以及 Suno、Udio、Klay 等一众 AI 音乐初创公司心惊胆战 —— 这些初创企业累计融资已达约 4 亿美元。 诚然，谷歌向来并非音乐行业的主要玩家，旗下 YouTube Music 也鲜少被人关注。但当下的行业格局早 已颠覆过往，别忘了：谷歌刚刚与苹果达成协议，为其提供 AI 技术。而苹果在音乐领域可谓根基深 厚。如此一来，苹果音乐或许能借助谷歌 AI， ...

With all the real promise and unrealistic hype around agentic AI, it’s understandable to forget a foundational truth: AI is built on data. No data, no agents. This past week has seen more evidence of exactly how tightly that connection is made.By completing this form, you agree to receive marketing communications from PYMNTS and to the sharing of your information with our sponsor, if applicable, in accordance with our Privacy Policy and Terms and Conditions .Google says enterprise teams trying to build agen ...

In this articleORCLAMZNMETAGOOGLHyperscalers are significantly ramping up their AI capex spending — and increasingly using credit markets to fund it. But investors say this shift is challenging mega-cap tech giants' so-called 'fortress balance sheet' status, and rips up what they call the "unspoken contract" that kept speculative AI spending largely separate from debt markets.After Amazon, Meta and Google-owner Alphabet all unveiled sizable increases in their full-year capex spending plans during earnings s ...

Core Insights - Hyperscalers are significantly increasing their AI capital expenditure (capex) and are increasingly utilizing credit markets for funding, which is challenging their previously held 'fortress balance sheet' status [1][2][5] - Investors are concerned that this shift disrupts the "unspoken contract" that kept speculative AI spending separate from debt markets, raising questions about creditworthiness [4][5] Capital Expenditure Trends - Major tech companies like Amazon, Meta, and Alphabet have announced substantial increases in their full-year capex plans, with UBS projecting that aggregated capex among AI hyperscalers could exceed $770 billion by 2026, a 23% increase from prior expectations [2] - This increase in capex is expected to lead to an additional $40 billion to $50 billion in borrowing, pushing public market debt issuance to between $230 billion and $240 billion for the year [2] Market Dynamics - The shift towards bond markets is altering the relationship between hyperscalers and investors, as these companies are now seen as taking on more debt rather than relying solely on cash flow for AI investments [3][4] - Investors are now scrutinizing the debt levels of these companies, which were previously viewed as low-risk due to their strong credit ratings [5][10] Investor Sentiment - BlackRock has indicated that mega-cap tech companies are using the current credit issuance boom to bridge the gap between current investments and future revenues, raising concerns about rising corporate borrowing adding supply to bond markets [5][6] - The focus of the market has shifted to how AI adoption will translate into revenues and profits, creating a need for active investing strategies [9] Financial Health and Risks - While AI hyperscalers maintain strong balance sheets and cash flow generation, they are taking on more leverage, which raises concerns about potential hidden risks in the system [12][13] - There are fears that rapid technological advancements could render large data centers obsolete, impacting the long-term viability of investments in these assets [10][11]

Core Insights - Demis Hassabis, CEO of DeepMind, predicts a new era of discovery and a renaissance in the next 10 to 15 years, driven by advancements in artificial intelligence (AI) [2] - AI is expected to revolutionize medicine through personalized treatments and breakthroughs in energy solutions, enabling interstellar exploration [2] - Google faces a critical turning point with the rise of generative AI, necessitating a self-disruption to maintain its competitive edge [3] Company Restructuring - In response to competition from OpenAI's ChatGPT, Google underwent a significant internal restructuring, merging its research divisions Google Brain and DeepMind under Hassabis's leadership [3] - The integration aims to leverage the strengths of both teams and enhance the computational capabilities required for training advanced models like Gemini [3] - Following the release of models such as Gemini 3 and Nano Banana, Alphabet's stock surged approximately 65% by the end of the year, indicating the success of the restructuring strategy [3] AI in Biology - Hassabis highlights the application of AI in biology as foundational for the new era, citing DeepMind's AlphaFold model, which addresses the protein folding problem and predicts the 3D structures of over 200 million proteins [4] - AlphaFold has been utilized by over 3 million researchers and has contributed to Hassabis receiving the 2024 Nobel Prize in Chemistry [4] - Isomorphic Labs, a subsidiary of Google, is applying AlphaFold technology to drug development, aiming to enhance efficiency by 1000 times through computer simulations [4] Future Aspirations - Hassabis emphasizes that the challenging schedule and company restructuring are necessary steps toward achieving the ultimate goal of solving intelligence and leveraging it to address other global issues [5] - The next decade is anticipated to be a period of significant technological transformation, but Hassabis remains confident in the long-term vision of utilizing intelligence to tackle various challenges, potentially including space exploration [5]

在2026年新德里举行的印度人工智能影响力峰会上，奥特曼就将数据中心送入轨道的可行性发表了看法。 他在接受《印度快报》采访时表示：在目前的形势下，将数据中心送入太空简直是荒谬的。 他进一步解释说，发射成本带来的经济和技术挑战，以及解决图形处理器（GPU）等组件问题的难度，使得此 类计划在未来十年内难以实现。 2月23日消息，据印度媒体报道，OpenAI首席执行官萨姆·奥特曼(Sam Altman)认为，鉴于SpaceX首席执行官埃 隆·马斯克(Elon Musk)最近的言论，轨道数据中心的概念并不切实际。 利用太空进行数据处理的讨论也引起了谷歌的关注，预计未来几年内将有相关计划付诸实施。 今年1月在达沃斯世界经济论坛上，马斯克声称："部署人工智能成本最低的地方将是太空，而且这一目标将在 两年内实现，最迟三年。" 去年12月，在xAI的全体员工大会上，他进一步阐述了这一计划的雄心壮志，并设想特斯拉的Optimus机器人将 参与管理轨道数据中心。 近日，马斯克表示，将xAI与SpaceX整合，有望加速在轨数据中心项目的推进。SpaceX的目标是建立一个由一 百万颗卫星组成的网络，这些卫星将作为轨道数据中心运行。据 ...