Last week we saw a plethora of important earnings results and increased market volatility. This wee should be another busy one with a lot of important companies due to report. This week we have Amazon (AMZN), Palantir (PLTR), Advanced Micro Devices (AMD), Alphabet (GOOGL), PayPal (PYPL), Pfizer (PFE), Uber Technologies (UBER), Disney (DIS) and Merck (MRK) all reporting in what shapes as a busy and pivotal week for stocks. Before a company reports earnings, implied volatility is usually high because the m ...

（原标题：?Robotaxi再迎重磅催化! Alphabet旗下Waymo估值跃至1100亿美元 商业化车队即将大爆发） 智通财经APP获悉，有媒体援引知情人士透露的消息报道称，谷歌母公司Alphabet旗下的全球Robotaxi(完全无人自动驾驶出租车)领军者Waymo正 计划在一轮融资中筹集大约150亿美元，此项最新融资也将使Alphabet旗下的这一聚焦于自动驾驶的业务部门Waymo估值高达惊人的1100亿美元里 程碑，全球Robotaxi商业车队即将迎来爆发式部署阶段。 在全球可监管市场，不同于特斯拉仍然处于宏大叙事以及"概念验证"阶段的Robotaxi业务，谷歌母公司Alphabet旗下的Waymo可谓代表当下最成熟 的Robotaxi落地模式与创收形态，更像是"已经创造出营收的规模化爬坡期业务"。Waymo大约1100亿美元的最新估值数字，可谓是全球Robotaxi领 域中公开披露中最高的估值，使它成为当前Robotaxi领域实际车队规模最庞大且最受资本市场认可的自动驾驶企业。 谷歌母公司Alphabet旗下的Waymo估值触及1100亿美元，加之近日英伟达与欧洲豪车领军者梅赛德斯-奔驰(Merc ...

有媒体援引知情人士透露的消息报道称，谷歌母公司Alphabet旗下的全球Robotaxi(完全无人自动驾驶出 租车)领军者Waymo正计划在一轮融资中筹集大约150亿美元，此项最新融资也将使Alphabet旗下的这一 聚焦于自动驾驶的业务部门Waymo估值高达惊人的1100亿美元里程碑，全球Robotaxi商业车队即将迎来 爆发式部署阶段。 在全球可监管市场，不同于特斯拉仍然处于宏大叙事以及"概念验证"阶段的Robotaxi业务，谷歌母公司 Alphabet旗下的Waymo可谓代表当下最成熟的Robotaxi落地模式与创收形态，更像是"已经创造出营收的 规模化爬坡期业务"。Waymo大约1100亿美元的最新估值数字，可谓是全球Robotaxi领域中公开披露中 最高的估值，使它成为当前Robotaxi领域实际车队规模最庞大且最受资本市场认可的自动驾驶企业。 谷歌母公司Alphabet旗下的Waymo估值触及1100亿美元，加之近日英伟达与欧洲豪车领军者梅赛德斯- 奔驰(Mercedes-Benz)、网约车领军者优步共同宣布将合作打造一个覆盖全球的Robotaxi平台——该平台 将使用梅赛德斯-奔驰的全新S级车型 ...

智通财经APP获悉，有媒体援引知情人士透露的消息报道称，谷歌母公司Alphabet旗下的全球 Robotaxi(完全无人自动驾驶出租车)领军者Waymo正计划在一轮融资中筹集大约150亿美元，此项最新融 资也将使Alphabet旗下的这一聚焦于自动驾驶的业务部门Waymo估值高达惊人的1100亿美元里程碑，全 球Robotaxi商业车队即将迎来爆发式部署阶段。 此前有媒体在12月报道称，Waymo计划进行一轮由谷歌母公司Alphabet领投的融资，以接近1000亿美元 的行业最强劲估值筹集超过150亿美元。从媒体最新披露来看，由于机构投资者们对于Waymo发展前景 愈发乐观，因此愿意投入更大规模资金推动Waymo营收以及实际利润步入加速扩张轨迹，因此Waymo 获得的最终估值也显著高于此前披露的约1000亿美元。 在全球可监管市场，不同于特斯拉仍然处于宏大叙事以及"概念验证"阶段的Robotaxi业务，谷歌母公司 Alphabet旗下的Waymo可谓代表当下最成熟的Robotaxi落地模式与创收形态，更像是"已经创造出营收的 规模化爬坡期业务"。Waymo大约1100亿美元的最新估值数字，可谓是全球Robot ...

Core Insights - Companies are increasingly leveraging artificial intelligence (AI) to enhance their competitive positions and improve operations [1][2] Group 1: Netflix - Netflix utilizes AI for its recommendation algorithm, enhancing viewer experience by helping them find suitable content [3][5] - The company is also employing generative AI to improve visual effects and ad creativity, which represents a new revenue stream [5][6] - Netflix's strong data and technology capabilities provide a competitive advantage in the media and entertainment sector [6] Group 2: Nike - Nike is integrating AI across its operations, including personalized shopping recommendations and marketing strategies [7][9] - The company launched the Nike A.I.R. initiative, collaborating with athletes to design futuristic footwear using generative AI [9] - Despite current stock performance challenges, Nike aims to leverage AI to enhance financial results [7][9] Group 3: Uber Technologies - Uber holds a dominant position in the U.S. ride-sharing market and is also a leader in delivery services [10] - The company employs AI to improve customer experiences by optimizing rider-driver matching, dynamic pricing, and route efficiency [10][11] - Uber AI Solutions is a growing division that offers AI and data tools to enterprise customers across various sectors [11]

​Uber Technologies, Inc. (NYSE:UBER) is one of the Best Software Stocks to Buy According to Wall Street Analysts. On January 30, Justin Post from Bank of America Securities reiterated a Buy rating on the stock, but lowered the price target from $119 to $110. Earlier, on January 27, Mark Kelley from Stifel Nicolaus also reiterated a Buy rating on Uber Technologies, Inc. (NYSE:UBER) but lowered the price target from $122 to $105. Justin Post from BofA noted that the rating comes ahead of the company’s Q4 e ...

Economic Data - China's January Manufacturing PMI is expected to be 50.1, indicating a slight recovery in manufacturing activity [3] - Eurozone's January Manufacturing PMI final value is reported at 49.4, showing continued contraction [3] - The US ISM Manufacturing Index for January is anticipated to rise to 48.3 from 47.9, suggesting a potential stabilization in manufacturing [3] Central Bank Decisions - The Reserve Bank of Australia is expected to raise its policy rate to 3.85% from 3.6% [4] - The European Central Bank and the Bank of England are both expected to maintain their current interest rates during their upcoming meetings [9] Major Corporate Earnings - Key earnings reports are expected from major companies including Disney, Pepsi, Merck, and Pfizer, with a focus on their performance in the current economic climate [4][26] - Tech giants like Google and Amazon will report on their cloud business growth, which is critical for assessing AI monetization capabilities [6][26] Geopolitical Events - Ongoing tensions in Iran are highlighted, with the US increasing military presence in the region, which may impact global markets [12] - Japan and Thailand are set to hold significant elections on February 8, which could influence regional political stability [15][17] IPOs and Market Movements - Muyuan Foods is set to launch its IPO in Hong Kong, potentially raising up to 14 billion HKD (approximately 1.8 billion USD) [28] - The Shanghai Futures Exchange has adjusted the trading limits and margin requirements for silver futures, reflecting a tightening in trading conditions [11] Commodity Market Changes - CME has raised the margin requirements for gold from 6% to 8% and for silver from 11% to 15%, indicating a move to reduce leverage in the precious metals market [10] - The Chinese government has implemented a temporary 5% import tax on whiskey starting February 2 [19]

Core Viewpoint - The rise of self-driving cars is expected to lead to significant job displacement in the driving sector, while also creating new economic opportunities in other areas such as productivity and logistics. Job Displacement - Approximately 1 million people in Britain are employed as drivers, representing around 3% of the workforce, with significant job losses anticipated due to the introduction of driverless vehicles [2][6] - Uber's CEO, Dara Khosrowshahi, acknowledges that job displacement will occur, particularly affecting driving instructors and various driving professions [1][4] Economic Impact - Self-driving cars could enhance productivity by allowing commuters to use travel time for work or leisure activities, potentially benefiting sectors like streaming services and online shopping [7][8] - The logistics sector may see a transformation, with automated heavy goods vehicles (HGVs) projected to create a market worth £3.5 billion annually by 2040 [13] Changes in Property Demand - The shift to driverless cars may alter property demand, moving it away from traditional rail station locations to more evenly distributed areas across commuter belts [9] - Historical trends during the pandemic indicate that remote working can lead to increased demand for larger homes further from city centers, which may be replicated with the rise of autonomous vehicles [10] Public Transport and Congestion - The introduction of driverless cars could lead to a decline in public transport usage, as seen during the pandemic when rail journeys dropped significantly [11] - While driverless vehicles may reduce the need for parking in urban areas, they could also exacerbate road congestion if not managed properly [12] Logistics and Efficiency - Self-driving lorries are expected to operate in convoys, improving fuel efficiency by up to 20% and reducing logistics costs significantly [14][15] - The potential for small delivery robots to replace traditional delivery methods could disrupt the current delivery industry, which has seen rapid job growth [16] Skepticism and Challenges - Concerns exist regarding the economic viability of autonomous vehicle programs, with some industry experts likening them to a "dotcom bubble" due to high operational losses [18] - Despite the potential benefits, practical challenges remain, such as the need for vehicle maintenance and the complexities of urban driving environments [19]

Core Insights - The article discusses the expertise of Vladimir Dimitrov, CFA, who has a background in strategy consulting focused on brand and intangible asset valuation, particularly in technology, telecom, and banking sectors [1]. Group 1 - Vladimir Dimitrov has worked with some of the largest global brands in various sectors, indicating a strong professional background [1]. - He graduated from the London School of Economics, which adds credibility to his expertise in investment analysis [1]. - The focus is on identifying reasonably priced businesses that possess sustainable long-term competitive advantages, highlighting a strategic investment approach [1].

Core Insights - The food-delivery business has agreed to pay a total of $3.15 million in restitution to 48,000 workers across the city [1] - Additionally, the company will incur $350,000 in civil penalties and fees [1] Financial Implications - The restitution payment of $3.15 million translates to an average of approximately $65.63 per worker for the 48,000 affected [1] - The civil penalties and fees amounting to $350,000 represent an additional financial burden on the company [1]