We have entered the heart of the 2024 Q1 earnings cycle with a notably stacked earnings schedule on deck for this week. The period has primarily been positive so far, with the big banks’ results not causing any spooks.And concerning this week’s busy docket, two ‘Mag 7’ members – Alphabet (GOOGL) and Meta Platforms (META) – are scheduled to unveil quarterly results.Alphabet will report after the market close on April 25th, whereas Meta will report on April 24th after the market close. Shares of each have bee ...

Amid the delayed prospect of rate cuts and an increase in geopolitical tension, the technology sector has been seeing brutal trading in recent weeks after a strong first quarter. Notably, the Magnificent Seven stocks suffered the worst-ever weekly loss in terms of market capitalization, erasing $950 billion last week.NVIDIA (NVDA) , which has been leading the artificial intelligence boom, shed almost $300 billion and became the biggest market-cap loser. Shares of NVIDIA fell 13.6% last week and are down abo ...

Alphabet's Q1 2024 Performance Overview - Alphabet is scheduled to report Q1 2024 results on Apr 25, with expectations of strong performance driven by generative AI, cloud computing, and search innovations [1] - The company faces challenges from increasing litigation issues and expenses, which could impact its financials [1] Search, YouTube & Advertising - Alphabet's search revenues are expected to benefit from AI-driven innovations like the Search Generative Experience and large language models, improving search results and user experience [2] - Google Search & Other revenues are estimated at $44.73 billion, reflecting a 10.8% YoY increase [3] - Advertising revenues are projected at $60.18 billion, up 10.3% YoY, driven by generative AI-infused ad offerings and strong retail momentum [3] - YouTube's non-advertisement revenues are supported by growing user engagement with YouTube Shorts and enhanced creator relationships [3] - YouTubeTV and YouTube Premium updates are also contributing positively to the platform's performance [4] Services Segment Performance - Alphabet's Services segment, including search, YouTube, and Android, is expected to show strong growth, with revenues estimated at $69.04 billion, up 11.4% YoY [4] - Android and Pixel devices are gaining momentum, further boosting the segment's performance [4] Cloud & Other Bets - Alphabet's cloud business is thriving due to its expanding service portfolio and data center investments, with Google Cloud Platform and Google Workspace driving adoption [5][6] - Generative AI-backed cloud offerings are enhancing customer engagement and market competitiveness [6] - The Other Bets segment, including healthcare technology, is expected to grow significantly, with revenues estimated at $384 million, up 33.3% YoY [6] Financial Estimates - Q1 2024 revenue is projected at $66.02 billion, a 13.7% YoY increase [7] - Earnings per share (EPS) are estimated at $1.49, reflecting a 27.3% YoY growth [7] Earnings Predictions - Alphabet is predicted to beat earnings expectations, supported by a positive Earnings ESP of +1.43% and a Zacks Rank 3 [8] Other Companies with Earnings Potential - Amazon (AMZN) has an Earnings ESP of +11.66% and a Zacks Rank 3, with shares up 14.9% YTD [9] - Meta Platforms (META) has an Earnings ESP of +0.62% and a Zacks Rank 2, with shares up 36.1% YTD [9] - Itron (ITRI) has an Earnings ESP of +5.88% and a Zacks Rank 2, with shares up 18.7% YTD [9]

The upcoming report from Alphabet (GOOGL) is expected to reveal quarterly earnings of $1.49 per share, indicating an increase of 27.4% compared to the year-ago period. Analysts forecast revenues of $66.02 billion, representing an increase of 13.7% year over year.The consensus EPS estimate for the quarter has remained unchanged over the last 30 days. This reflects how the analysts covering the stock have collectively reevaluated their initial estimates during this timeframe.Prior to a company's earnings anno ...

Many in the market are looking to this week's quarterly results from the four members of ‘the Magnificent 7’ to help reverse the stock market’s ongoing weakness.The immediate catalyst for the stock market pullback appears to be tied to the timing of Fed easing as a result of the evolving inflation picture rather than any deterioration in the overall earnings picture. If anything, the overall earnings picture has actually been improving ever so slightly in recent weeks, as we have been noting in our earnings ...

Looking for a stock that has been consistently beating earnings estimates and might be well positioned to keep the streak alive in its next quarterly report? Alphabet (GOOGL) , which belongs to the Zacks Internet - Services industry, could be a great candidate to consider.When looking at the last two reports, this internet search leader has recorded a strong streak of surpassing earnings estimates. The company has topped estimates by 4.70%, on average, in the last two quarters.For the most recent quarter, A ...

智通财经APP获悉，美国科技巨头谷歌(GOOGL.US)首席执行官桑达尔·皮查伊(Sundar Pichai)宣布全面整合谷歌的AI工作团队结构，称此举将有助于该科技巨头更迅速、更高效率地开发人工智能产品和服务。据了解，皮查伊周四在一篇博客文章以及给员工的一封通知中表示，专注于AI大模型以及负责确保AI技术安全等相关领域研究的谷歌研究部人工智能团队将被全面整合到该公司的旗舰人工智能业务部门——谷歌DeepMind。 总体而言，为了加快谷歌人工智能大模型(Gemini和Gemma)的相关推进和研发工作，分散在谷歌旗下的研究部门(Google Research)以及谷歌DeepMind负责该项创新技术的员工们将被整合为一个新的更大规模团队，这也意味着谷歌将训练和构建AI超算等新型系统所需的昂贵计算能力和计算资源全面整合到公司的一个单独部门，力争更加聚焦且简化、高效地推进大模型融入应用端，以及加速开发谷歌全新的AI技术。 此外，谷歌CEO皮查伊还表示，在整个公司负责确保AI技术安全等相关领域的团队也将隶属于谷歌DeepMind，确保在AI研发过程中，负责技术安全和伦理道德等标准的专家们可以非常直接地参与到AI大模型 ...

4月19日消息，美国时间周四，Alphabet旗下的谷歌宣布将其Research部门和DeepMind部门中负责构建人工智能模型的各个团队进行整合，这是谷歌开发人工智能产品组合的最新措施。 谷歌最近在一篇博客中宣布，为进一步加强安全人工智能的开发，公司将把专门负责此项任务的“Responsible AI”团队从Research部门调整到DeepMind部门。此举是为了让该团队更紧密地与人工智能模型的构建和扩展工作对接。 这一举措正值全球对人工智能安全性的担忧日益加剧之时，人们对监管人工智能技术的需求也越来越强烈。 DeepMind团队协助开发了谷歌最先进的人工智能模型Gemini，该模型能够处理视频、音频和文本等多种信息形式，于去年年底投入使用。 虽然Gemini的推出对Alphabet的股价产生了积极影响，但该模型在一些历史图像生成上的描述错误也引发了批评，导致谷歌暂停了Gemini的图像生成功能。 一年前，谷歌合并了其研究部门Google Brain和DeepMind，专注于人工智能开发，以期赶超微软等竞争对手。微软是ChatGPT和Sora的开发商OpenAI的合作伙伴。 此外，上个月谷歌还任命Deep ...

The cryptocurrency market has showcased its capacity to boost investors’ portfolios. Reaching a peak of $3 trillion in market value in 2021, it’s resurging after a recent downturn. However, if you’re inclined towards the stock market, there are ample opportunities for substantial growth. In fact, certain stocks currently offer even greater potential than cryptocurrencies. Many of these opportunities lie within the rapidly expanding artificial intelligence field. Projections indicate that the AI market will ...

WPS AI Functionality and Pricing - WPS has introduced a new AI functionality that requires users to upgrade to a "WPS AI Member" or "Super Member" to access, with the "WPS AI Member" priced at CNY 25 per month for continuous subscription [1] - Existing "WPS Super Member Pro" users can upgrade to the "Super Member" for an additional CNY 5 per month if they have more than 2 months remaining, currently available only for the latest PC version [1] - Consumers have expressed concerns over the "layered" pricing model, questioning whether new features will continue to incur additional charges [1] Industry Trends in AI Functionality and Pricing - Adobe Premiere Pro is introducing AI tools to streamline video editing workflows, with users speculating on potential subscription fees [1] - Google is considering charging for advanced AI-driven search features as part of its premium subscription services, though no final decision has been made [1] - Samsung and WPS are set to charge for their collaborative AI functionality starting July 30, with pricing options including CNY 118 per year, CNY 148 for 15 months, and CNY 15 per month for continuous subscription [2] AI Product Commercialization Challenges - The AI industry faces significant commercialization challenges, with a lack of breakout applications and difficulties in monetizing AI products [4] - Training costs for advanced AI models are extremely high, with OpenAI's GPT-4 estimated at USD 78 million and Google's Gemini Ultra at USD 191 million [4] - Investment in AI has declined for the second consecutive year in 2023, reflecting the industry's struggles with high costs and unmet consumer demands [4] Consumer and Market Perspectives on AI - Consumers are increasingly willing to pay for AI products due to the unique value they provide, as noted by NetEase Youdao's CEO [2] - The AI industry is transitioning towards a paid subscription model, with both B2B and B2C applications adopting this approach [2] - The lack of clear commercialization strategies and personalized applications has hindered the development of successful AI products [4] Investor and Entrepreneur Insights - Investors are focused on identifying the next big AI application during the early stages of development, despite the challenges of the 0-1 phase [5] - The AI industry is still in its infancy, with many startups struggling to find viable use cases and achieve product-market fit [5] - Once the initial hurdles are overcome, the growth trajectory of AI applications is expected to be rapid and steep [5]