记者丨彭新 编辑丨包芳鸣 美国当地时间3月21日， 特斯拉宣布将与SpaceX、xAI合作建设芯片项目TeraFab，目标是实现年产能1太瓦（1万亿 瓦）AI算力，打造全球规模最大的芯片制造工厂。 据特斯拉披露，TeraFab将是一座垂直整合的芯片工厂，涵盖芯片 设计、推理和存储芯片制造、封装与测试全流程，并配备所有必要设备，用于测试、修改和制造芯片。 在发布会上，马斯克称，现在地球上所有芯片晶圆厂的产能总和约为20吉瓦（1吉瓦=0.001太瓦），仅相当于其所需算 力的2%左右。马斯克在发言中强调了对现有供应链的依赖，也表达了对第三方扩产速度的无奈。他透露，自己曾向三 星、台积电和美光等供应商承诺，会买下它们所能生产的所有芯片，"但他们扩张产能的速度远低于我们的期望。" "所以，要么我们自己建芯片工厂，要么就没有芯片可用。因为我们需要芯片，所以我们决定建造TeraFab。"马斯克 说。 TeraFab效果图，图片来源：特斯拉 他甚至还设想在月球建设发射基地，进一步将太空算力规模提升至1拍瓦，即1太瓦的1000倍。 为实现该计划，马斯克估算需要将约1000万吨物资送入轨道。SpaceX正推进Starship V ...

Elon Musk took the stage over the weekend to announce a new partnership between Tesla, SpaceX and xAI to build a $25 billion chip-making factory in Austin, Texas, called Terafab. Acknowledging Samsung, TSMC and other chipmakers, Musk said the Terafab project needs to get off the ground because existing semiconductor partners aren't making chips fast enough. If built, Terafab would be the largest semiconductor manufacturing plant in the world.Bringing more semiconductor facilities to the US isn't new. The CH ...

Core Viewpoint - Tesla's stock is experiencing positive momentum driven by developments in its AI chip supply strategy and upcoming announcements regarding its semiconductor manufacturing plans [1][2][3]. Group 1: AI Chip Development - Tesla is developing its fifth-generation AI chip, known as AI5, which will support future Full Self-Driving capabilities and the robotics platform [3]. - The company is moving towards building its own semiconductor fabrication facility, termed "Terafab," to ensure a reliable supply of chips for its autonomous vehicles and robots [2][4]. Group 2: Financial Implications - Tesla anticipates spending around $20 billion on equipment this year, excluding costs related to the Terafab [5]. - The construction of a semiconductor fab is a capital-intensive project, indicating significant financial commitments ahead [5]. Group 3: Stock Performance and Technical Analysis - Tesla shares are currently trading 1.9% below their 20-day simple moving average (SMA) and 8.2% below their 100-day SMA, indicating short-term pressure despite a longer-term uptrend [6]. - Over the past 12 months, Tesla's stock has increased by 66.85%, positioning it closer to its 52-week highs [6]. Group 4: Analyst Consensus - The stock carries a Buy rating with an average price target of $414.07, reflecting a generally positive outlook among analysts [8]. - Recent analyst actions include a mix of ratings, with some firms maintaining a Sell rating while others have set higher price targets [10]. Group 5: Key Technical Levels - Key resistance for Tesla's stock is identified at $420.50, while key support is at $387.50 [10]. - The current price action shows Tesla shares at $397.62, up 1.64% at the time of publication [11].

Core Insights - The AI5 is not merely a chip but a comprehensive fifth-generation vehicle computing platform, crucial for Tesla's future, as stated by Musk, who emphasized its existential importance to the company [1][41][52] - The AI5 platform is designed to support various applications, including autonomous driving, humanoid robots, and data centers, consolidating Tesla's technological efforts into a single architecture [1][41][50] Performance Metrics - The AI5 platform reportedly boasts a reasoning performance of 2000-2500 TOPS, which is 40 times that of the previous HW4 platform, and features 144GB of memory, a significant increase from HW4's 16GB [3][19][21] - The bandwidth of AI5 is projected to reach 1.9 TB/s, compared to HW4's 384 GB/s, indicating a substantial enhancement in data processing capabilities [3][22] Manufacturing Strategy - Tesla has signed a $16.5 billion contract with Samsung for the production of AI5 chips, marking the largest chip procurement in the company's history [29] - The AI5 will be manufactured using a dual-foundry strategy, with Samsung and TSMC producing slightly different versions of the chip, which raises concerns about software consistency across different manufacturing processes [30][31] Transition and Future Plans - Tesla is introducing a transitional HW4.5 version to bridge the gap until AI5 is fully operational, which will feature a three-chip design to enhance computational power [33] - The company is also planning to build a TeraFab facility to increase chip production capacity, aiming for a monthly output of 100,000 wafers, significantly exceeding current industry capabilities [34] Challenges and Risks - The AI5's power consumption is a concern, with estimates ranging from 250 to 800 watts, which is higher than the HW4 platform [48] - The success of AI5 is contingent on the actual deployment of Robotaxi and Optimus, as any shortfall in demand could lead to excess inventory and depreciation [49][51]

Investment Rating - The report maintains a "Buy" rating for Tesla with a target price of $520.00, representing a 23% upside from the current price of $421.90 [3][5]. Core Insights - Tesla is accelerating the expansion of its Robotaxi fleet and moving towards large-scale AI and autonomous driving solutions. The Cybercab, designed for fully autonomous driving, is set to begin production in April 2026, which is expected to significantly optimize cost per mile and increase utilization [5][29]. - By the end of 2026, Tesla aims to have its Robotaxi service operational in 25-50% of the U.S. market, with over 500 vehicles already deployed in the Bay Area and Austin [5][29]. - The company is transitioning to a subscription model for its Full Self-Driving (FSD) service, which currently has nearly 1.1 million paid users, representing a 12% penetration rate among existing vehicles [5][35]. - Tesla plans to invest $2 billion in xAI to enhance its AI capabilities, which will integrate with its vehicle ecosystem [5][31]. Financial Summary - For the fiscal year ending December 31, 2024, Tesla's total revenue is projected to be $97.69 billion, with a slight decrease of 0.95% from the previous year. Revenue is expected to grow significantly in the following years, reaching $176.92 billion by 2028 [4][36]. - Non-GAAP net profit for 2024 is estimated at $7.96 billion, with a projected increase to $17.92 billion by 2028 [4][36]. - The report indicates that Tesla's automotive gross margin is expected to recover to 17.9% in the fourth quarter, with a focus on improving production efficiency and cost management [10][12]. Production and Capacity - Tesla plans to cease production of the Model S and Model X in early 2026 to repurpose the production lines for the Cybertruck, with a long-term production target of 1 million units annually [5][26]. - The Cybercab is expected to become the highest volume model in the long term, although initial production ramp-up may be slow due to the use of new customized components [5][29]. - Tesla's global production capacity is projected to exceed 2.35 million units, with significant expansions planned in Texas and Nevada [5][26]. Valuation - The report employs a discounted cash flow (DCF) model, estimating Tesla's revenue for 2026 to 2028 at $114 billion, $141 billion, and $176 billion, respectively. The calculated fair stock price of $520.00 corresponds to a 166x multiple of projected Non-GAAP earnings per share for 2026 [5][33].

特斯拉正迈入一个有趣的「过渡期」里。 一方面，它们的汽车业务连续两年下跌：刚刚过去的 2025 年，特斯拉整体交付量减少 15.3 万辆，汽车营收同比缩水 10%。全球纯电汽车的销冠位置正式 被比亚迪取代，未来可能还会进一步拉大差距。 但另一方面，马斯克本人似乎对这种下跌并不担忧。在谈到 2026 年规划时，他不仅忽略了几乎所有和卖车有关的话题，反而宣布了一笔高达 200 亿美元 的资本支出规划。这笔支出，将用在包括人形机器人 Optimus、无人车 Cybercab 等在内的六条全新生产线，以及和模型训练有关的算力建设上。 特斯拉目前的产能规划 | 图源：业绩报告 彭博社估算，在汽车业务增长停滞的情况下，预计 2026 年特斯拉的账上将减少 60 亿美元。 多年以来，外界对马斯克宣传的「特斯拉是一家 AI 公司」褒贬不一。争议很大程度在于他关于自动驾驶、机器人的各种承诺不断跳票，市场始终没有看 到相对完整清晰的商业模式。这一次，在这 200 亿美元的资本计划里，马斯克显然透露了更多关于如何实现梦想的「路径」和「线索」。 当全球车企的主流叙事已经收敛到关于决赛圈争夺的时候，擅长反共识的特斯拉，已经悄然进入了一 ...

Group 1 - The core viewpoint is that Elon Musk indicated during Tesla's Q4 2025 earnings call that chip production capacity is likely to become a bottleneck for Tesla's mid-term growth over the next 3 to 4 years, as external supply from companies like TSMC, Samsung, and Micron is insufficient to meet demand [1] - Tesla is considering the construction of its own TerraFab super-sized wafer factory to integrate various semiconductor manufacturing processes, which would help the company mitigate external risks [1] Group 2 - Musk mentioned that AI4 (HW 4.0) has been utilized in Tesla's data centers for AI training workloads, and the gap between AI5 and AI6 chip generations will be less than one year [3]

News: Tesla says AI5 is 50X better than AI4“Development of our in-house, custom designed AI5 and AI6 inference chips for autonomyprogressed during the quarter, with production planned for 2027 and 2028, respectively. We aretargeting a 50x improvement in performance for AI5 relative to AI4 thanks to 10x raw compute, 9xmemory capacity and 5x hardened block quantization and softmax function” ...

Summary of Tesla Inc 4Q25 Preview Conference Call Company Overview - **Company**: Tesla Inc (TSLA) - **Industry**: Autos & Shared Mobility - **Market Cap**: $1,478,276 million - **Stock Rating**: Equal-weight - **Price Target**: $425.00 - **Current Price (as of Jan 20, 2026)**: $419.25 - **Fiscal Year Ending**: December 2024, 2025, 2026, 2027 Key Financial Metrics - **Deliveries**: Estimated at 1.6 million units in 2026, which is 9% below consensus and represents a -2.5% year-over-year decline. Breakdown includes: - North America: -13% Y/Y - Europe: -5% Y/Y - China: +0.5% Y/Y - Rest of World: +19% Y/Y [6][8] - **Auto Gross Margin (ex-ZEV credit)**: - 4Q25: 14.2% (vs. consensus of 14.8%) - 2026: 14.2% (vs. consensus of 15.0%) [6][8] - **Energy Volume Growth**: Expected to grow by 37% Y/Y to 64 GWh in 2026, with energy gross margins declining by 50 bps Y/Y to 30% [6][8]. - **Free Cash Flow**: Estimated to burn $1.5 billion in 2026, contrasting with consensus expectations of a positive $3.1 billion. This is attributed to a significant increase in capital expenditures [6][8]. - **FSD (Full Self-Driving)**: Anticipated global attach rate to increase to 17.5% by year-end 2026, up from approximately 12% currently. Key drivers include approvals in Europe and China, and the launch of Unsupervised FSD [6][8]. Strategic Updates 1. **Robotaxi Rollout**: - Expecting 1,000 vehicles in the fleet by year-end 2026. - Critical updates on the public launch in Texas and safety improvements from the robotaxi fleet in Austin are anticipated [6][8]. 2. **Unsupervised FSD**: - Significant increase in FSD miles driven from ~90 million in 2022 to ~7.4 billion by 2025. - The rollout of a more enhanced "eyes off" experience is expected throughout 2026 [6][8]. 3. **AI5 Chip Design**: Updates on Tesla's AI5 chip design and future compute efforts are expected [9]. 4. **Optimus Gen 3**: Initial unveil planned for February/March 2026, which is becoming increasingly important for Tesla's valuation [9]. 5. **Convergence of Ventures**: Updates on how Elon Musk's other ventures may synergize with Tesla's operations are anticipated [9]. Risk Factors - **Market Competition**: Increased competition from traditional OEMs, startups, and large tech firms in both the automotive and robotics sectors [30]. - **Execution Risks**: Risks associated with the rollout of robotaxi, FSD, and humanoid robots [30]. - **Regulatory Risks**: Potential regulatory challenges, particularly in China [30]. Conclusion Tesla Inc is navigating a complex landscape with significant challenges in delivery growth and margin pressures, while also pursuing ambitious technological advancements in AI and autonomous driving. The upcoming earnings call is expected to provide critical updates that could influence stock performance and investor sentiment.

Core Insights - Tesla is shifting its focus towards AI chips, moving from hardware support to a core element that determines product capability limits [1][12] - Elon Musk revealed Tesla's latest AI chip roadmap, with AI5 design nearing completion and AI6 in early stages, aiming to compress chip design cycles to 9 months per generation [1][12] Group 1: AI Chip Development - The goals for Tesla's vehicle chips from HW3/AI3 and HW4/AI4 to the upcoming AI5 focus on providing higher computing power and larger memory for Full Self-Driving (FSD) and allowing redundancy for future complex end-to-end models [3][13] - The AI4 era features a 7nm process with approximately 216 TOPS supporting current FSD V12, which is insufficient for long-term goals of full autonomy and embodied intelligence [3][13] - AI5 is expected to utilize both Samsung's 2nm and TSMC's 3nm processes, with Musk claiming a "50 times performance improvement," combining a 10 times increase in raw computing power and a 9 times increase in memory capacity compared to AI4 [3][13] Group 2: Application and Integration - AI5 targets two core businesses: FSD and the Optimus humanoid robot, with a unified algorithm and hardware platform for both vehicles and robots, creating a unique advantage in embodied intelligence [4][14] - The architecture allows Tesla to view smart cars as "mobile robots" and robots as "walking cars," facilitating collaborative evolution at the foundational level [4][14] - Following AI5, AI6 will expand to support both edge inference and cloud training, with HW series chips deployed in vehicles and Dojo series chips for data center training, indicating a dual technical pathway [4][14] Group 3: Dojo Project and Space Computing - The initial goal of the Dojo project was to provide customized, efficient computing infrastructure for Tesla's autonomous driving training, with the first D1 chip based on a 7nm process [5][15] - AI6 and AI7 are envisioned as versatile AI computing chips that can support both edge inference and data center training, even adapting to space environments [5][15] - Space computing is a significant application for AI7, leveraging collaboration with SpaceX to deploy high-performance computing systems in orbit, taking advantage of potential benefits in latency, coverage, and infrastructure costs [6][16] Group 4: Engineering Solutions and Future Goals - Space computing presents challenges such as radiation, heat dissipation, and energy consumption, requiring higher reliability and power control for chips [7][17] - Musk mentioned AI8 and AI9, with an ambitious goal of shortening chip design cycles to 9 months per generation, aiming to align hardware upgrades with the rapid evolution of AI algorithms [7][17] - Tesla proposes an engineering solution to extend the usable life of older AI3 chips by processing 16-bit data with 8-bit low precision chips, balancing user scale and long-term product lifecycle [7][17] Summary - Tesla's AI chip roadmap indicates aggressive growth in computing power, with a 50 times performance increase from AI4 to AI5, significantly outpacing industry averages [11][21] - The application scope is expanding from vehicle inference to robots, data centers, and space computing, with a significantly compressed iteration cycle to match the rapid evolution of AI models [11][21]