| 周三 1/28 | 日本央行公布12月货币政策: | | --- | --- | | | 加拿大央行公布利率决 | | | 【财报发布】 阿斯麦、星巴克 | | 周四 1/29 | 美联储公布利率决议 | | | 美国12月核心PCE物价指数 | | | 第五届东盟轨道交通国际峰会（马来西亚¡ | | | 【财报发布】微软、Meta、特 | | 周五 1/30 | 【新股申购】林平发展、电 | | | 【财报发布】苹果、西部数 | | 周六 1/31 | 中国1月PMI | | 周日 2/1 | 欧佩克+八个产油国就产油政策² | | | 世界顶尖科学家峰会（阿联酋迪拜 | 1月PMI数据将发布；美联储将公布利率决议；苹果、特斯拉、微软、Meta等美股科技巨头将集中披露财报…… ...

U.S. President Donald Trump (R) speaks to Apple CEO Tim Cook (L) as he attends a reception for business leaders at the World Economic Forum (WEF) Annual Meeting on Jan. 21, 2026 in Davos, Switzerland. Chip Somodevilla | Getty ImagesMoving between panels, hotel lobbies, and meetings this week, it often felt like two conferences were happening in the same snowy Swiss village.In one Davos, the mood was strikingly optimistic. Executives and investors spoke about artificial intelligence moving from hype to produ ...

watch nowElon Musk's pay package of up to $1 trillion highlights the continued escalation in CEO compensation, even as worker pay slows and rewards to shareholders remain mixed, according to several studies.  Already, Musk is the richest person on the planet with a net worth that tops $660 billion, according to Bloomberg. Musk saw his 2018 Tesla pay package -- now valued at over $130 billion -- reinstated in December, and his company SpaceX looks set to for a potential public offering in 2026. Those two eve ...

据Business Insider，特斯拉似乎正离在其工厂部署Optimus机器人更近一步，而奥斯汀将成为下一个训 练场。据知情人士透露，特斯拉在上周的员工大会上表示，计划开始在奥斯汀超级工厂收集数据，以训 练其人形机器人。该公司表示，其目标是训练Optimus如何在德克萨斯州的工厂内运行，并计划于2月份 正式开始。一年多来，特斯拉一直通过其加州弗里蒙特工厂收集数据并训练Optimus原型机。据了解该 项目的人士透露，为了避免干扰生产，弗里蒙特的Optimus数据收集员通常与普通工厂工人隔离开来。 马斯克周四在达沃斯接受采访时表示，特斯拉的人形机器人已经在其工厂执行"简单任务"，但他并未指 明具体任务。他表示："我认为到今年年底，它们将能执行更复杂的任务，但仍将部署在工业环境中。 到明年年底，我认为我们将向公众销售人形机器人。" 责任编辑：山上 美股频道更多独家策划、专家专栏，免费查阅>> ...

Group 1 - Xiaopeng Motors' Vice President Gu Jie and his core team visited Dong'an Power, discussing mass production projects and next-generation engine technology development [2] - Tesla announced a limited-time insurance subsidy of 8,000 yuan for certain Model 3 purchases from January 24 to February 28, 2026 [2] - Ninebot Intelligent received its first autonomous vehicle operation license in the UAE, with its RoboVan fleet now fully operational, totaling 16,000 units globally [2] Group 2 - Porsche's Panamera facelift prototype was spotted during road testing, indicating potential upgrades in hybrid technology and performance features [2]

消息人士：特斯拉计划在得克萨斯州工厂开始训练擎天柱机器人。 ...

Core Insights - Tesla is advancing towards deploying its humanoid robot, Optimus, in its factories, with the Austin Gigafactory set as the next training site, aiming for a February start date [1] - The company has been training Optimus prototypes in its Fremont factory for over a year, using data collected from factory workers to teach the robot to perform tasks [2][3] - CEO Elon Musk anticipates that by the end of this year, Optimus will be capable of more complex tasks, with plans to sell humanoid robots to the public by the end of next year [4] Group 1: Training and Development - Tesla has been collecting video data to train Optimus, moving away from teleoperation methods, which allows for rapid data collection without motion capture constraints [6] - Optimus trainers are equipped with specialized helmets and backpacks to facilitate data collection, although the practicality of these setups is still being evaluated [7] - The company has deployed two autonomous Optimus robots in its factories, showcasing its capabilities in tasks such as arranging batteries [5] Group 2: Production and Future Plans - Tesla is also updating several production lines at its factories, indicating ongoing construction and development efforts [8] - The company has faced challenges with the Cybertruck line, leading to reduced production hours and a shift of workers to the Model Y line due to disappointing sales [9]

Industry Overview - Robotaxis are poised to revolutionize the transportation industry, comparable to the impact of the automobile since its invention [1] - Grand View Research projects robotaxi sales to grow at an annual rate of 74% through 2030, with the ride-sharing market valued at $918 billion by 2033 [2] - Morgan Stanley estimates that autonomous vehicle sales will exceed $3 trillion by 2040 [2] Company Analysis Nvidia - Nvidia is a leader in autonomous driving technology, providing an end-to-end platform that includes hardware and software for self-driving cars [5][6] - The company’s Hyperion platform integrates hardware, software, and sensors necessary for autonomous driving, and collaborates with Uber to assist OEMs in building autonomous vehicles [7] - Wall Street forecasts Nvidia's earnings to grow at 38% annually over the next three years, making its current valuation of 45 times earnings reasonable [8] Uber Technologies - Uber operates the largest ride-sharing platform globally, making it a strategic partner for autonomous vehicle companies [10] - The company collaborates with over 20 AV partners and is already linking users with robotaxis in multiple cities [10] - Morgan Stanley predicts Uber will capture 22% of autonomous ride-sharing trips in the U.S. by 2032, with earnings expected to grow at 28% annually, resulting in a current valuation of 11 times earnings [11] Tesla - Tesla's full self-driving platform relies solely on computer vision, making it less costly and more scalable compared to competitors that use multiple sensor types [12][13] - The company plans to leverage its existing fleet of nearly 8 million cars to crowdsource robotaxis, allowing owners to earn income through the autonomous ride-sharing platform [14] - Morgan Stanley estimates Tesla will account for 25% of autonomous ride-sharing trips in the U.S. by 2032, although its valuation is complicated by struggles in its electric car business [15][16] Alphabet (Waymo) - Alphabet's Waymo leads the autonomous ride-sharing market with commercial services in five U.S. cities and is testing in numerous others [17] - Wall Street anticipates Alphabet's earnings to grow at 15% annually over the next three years, with a current valuation of 32 times earnings [18] - Morgan Stanley expects Waymo to maintain its market leadership, accounting for 34% of autonomous ride-sharing trips in the U.S. by 2032 [19]

Group 1 - The core theme of the discussion is "Abundance," with Musk emphasizing a future where goods and services are plentiful [2] - Tesla has updated its mission statement to focus on "building an extraordinary abundant world," indicating a shift in corporate vision [2] - Musk outlined a clear timeline for the rollout of humanoid robots, with plans for them to perform complex tasks by the end of this year and to be available to the public by the end of next year [2] Group 2 - Musk predicts that by the end of this year or next, AI will surpass human intelligence, and by 2030, AI will be smarter than all humans combined [3] - He presented a formula for economic output based on the productivity of robots and their numbers, suggesting that AI-driven robots could lead to explosive economic growth [3] - A significant challenge for AI development is the availability of electricity, which Musk claims is currently lagging behind the rapid growth of chip production [3] Group 3 - Musk proposed deploying solar-powered AI data centers in space as a solution to Earth's slow electricity infrastructure development [4] - He highlighted the advantages of space for solar energy generation, including higher efficiency and continuous power supply without weather interruptions [5] - The anticipated reduction in launch costs due to advancements in reusable rocket technology could make space-based data centers economically viable within two to three years [5]

Core Insights - Nvidia and Tesla are positioned to deliver significant returns for shareholders due to their involvement in the AI revolution [1][2] - Experts predict that the combined market value of Nvidia and Tesla could reach at least $20 trillion in the future [2] Nvidia - Nvidia's GPUs are the industry standard for AI infrastructure, accounting for approximately 85% of AI accelerator sales in 2025, with expectations of maintaining this dominance [4][5] - The company employs a "full-stack" approach to accelerated computing, integrating hardware and software to provide the lowest total cost of ownership for customers [4][5] - Nvidia's data center GPU sales are projected to grow at an annual rate of 36% through 2033, with adjusted earnings expected to increase at 38% annually over the next three years [6][7] - Analyst Beth Kindig predicts Nvidia could reach a market value of $20 trillion by 2030, implying a potential upside of about 340% from its current market value of $4.5 trillion [8] Tesla - Tesla's current market value is $1.5 trillion, with CEO Elon Musk suggesting it could reach $25 trillion, indicating a potential upside of approximately 1,560% [8][10] - Despite losing its status as the global leader in electric vehicle sales, Tesla's investment thesis now focuses on physical AI, including autonomous vehicles and humanoid robots [10][12] - Tesla's full self-driving (FSD) software is set to expand into new markets, with plans for monetization through subscriptions and autonomous ride-sharing services [11] - The robotaxi market is expected to grow at 99% annually through 2033, while humanoid robot sales are projected to increase at 54% annually through 2035 [13] - Musk claims Tesla's expertise in physical AI is unmatched, but the stock's valuation remains challenging due to struggles in the core electric car business and execution risks in new AI ventures [14][15]