当老板要求分析竞品的Deep Research功能时，如何系统性地完成一份有价值的报告？本文通过真实案例拆解竞品分析的完整流程，让你掌握 一套让战略洞察落地为可执行建议的方法论。 前面三篇讲了为什么做、评什么、怎么选竞品。这篇我用一个真实案例，把整个流程串起来走一遍。 案例背景就是开头提到的那个场景：老板说"现在其他产品都出了Deep Research功能，去帮我分析一下他们做的效果"。 拿到这个需求，我会怎么做？ 第一步：先别急着动手，把需求拆清楚 很多人拿到需求就开始打开竞品截图，这是不对的。我会先问自己几个问题： 1.1 这份报告是给谁看的？ 老板让做的，那主要受众就是老板和管理层。他们关心的是战略层面的东西：竞品在押注什么方向？我们应该怎么跟进？有没有风险？ 这意味着我的报告要结论前置，先说判断再给证据，不要铺垫太多背景。 1.2 Deep Research到底是什么？ 在分析竞品之前，我得先搞清楚这个功能本身是什么。 Deep Research是OpenAI在2025年2月首次推出的功能，核心特点是：AI能自主进行网络搜索、整合多个来源的信息、深度分析数据，最后生成一份完整的 研究报告。 和普通的A ...

Group 1 - Anthropic is advancing a new funding round aiming to raise at least $25 billion at a valuation of $350 billion, with participation from Sequoia Capital, Microsoft, and NVIDIA [1][2] - The company, founded in 2021 by former OpenAI executives, has seen its annual revenue surge from $1 billion to $10 billion, positioning itself as a competitor to OpenAI's ChatGPT [1] - Anthropic's flagship product, the Claude series, is set to evolve with the release of Claude Opus 4 in 2025, enhancing its capabilities in complex software development [1] Group 2 - Sequoia Capital has previously invested in OpenAI and xAI, creating a rare situation of supporting three direct competitors in the same field [2] - Despite a valuation of $350 billion, Anthropic's valuation is still lower than OpenAI's $500 billion, although it has seen a significant increase of over 90% in four months [2] - The current funding round includes contributions from GIC and Coatue, each investing $1.5 billion, while Microsoft and NVIDIA's investments total $15 billion [3] Group 3 - The AI sector is experiencing a head effect, with Anthropic, OpenAI, and xAI dominating the major funding shares, leading to a squeezed survival space for smaller startups [3] - Concerns about valuation bubbles, talent shortages, and regulatory risks are emerging as significant challenges in the AI industry [3]

Core Insights - The report highlights the potential for interest rate cuts by the Federal Reserve, as suggested by Governor Bowman, indicating a shift in monetary policy that could impact market dynamics [4] - The report notes significant geopolitical tensions, including tariffs imposed by the EU on US goods and Canada's import of electric vehicles from China, which may affect trade relations and market sentiment [4] - Economic indicators show mixed performance across major indices, with the Nasdaq and Dow Jones experiencing slight declines, while the Baltic Dry Index and oil prices show positive movement [5] Economic Data Summary - The Baltic Dry Index increased by 2.28% to 1567.00, indicating a rise in shipping costs [5] - The Nasdaq Index closed at 23515.39, down by 0.06%, while the Dow Jones Industrial Average fell by 0.17% to 49359.33 [5] - The ICE Brent crude oil price rose by 0.69% to 64.20, reflecting a slight increase in oil market activity [5] - The USD/CNY exchange rate was reported at 6.97, showing a minor decrease of 0.01% [5] - The Hang Seng Index closed at 26844.96, down by 0.29%, indicating a slight decline in the Hong Kong market [5]

Core Viewpoint - JD Sports Fashion is leveraging AI platforms to enhance customer experience in the U.S., its largest market, allowing customers to search and purchase products more efficiently [1][2][3] Group 1: AI Integration - JD Sports has partnered with commercetools and Stripe to enable AI-driven searches and secure payment processes for customers using platforms like Microsoft's Copilot, Google's Gemini, and OpenAI's ChatGPT [2] - This initiative is seen as a significant advancement in online shopping, positioning JD ahead in the retail industry's shift towards AI [3] Group 2: Market Presence and Financial Outlook - JD Sports operates over 2,500 stores in the U.S. under various brands and generates over 40% of its global sales from this market [1] - The company is set to release a trading update for the Christmas quarter on January 21, following a forecast of annual profit at the lower end of market expectations due to economic concerns [3] - JD's shares increased by 1.2%, reducing the annual loss to 11.8% [4]

Investment Rating - The industry investment rating is "Recommended," indicating an expected increase in the industry index exceeding the benchmark index by more than 5% in the next 3-6 months [19]. Core Insights - The report highlights that the CES 2026 event will focus on edge AI and AI agents, with significant advancements in local computing power and new product launches from companies like Intel and Qualcomm [2]. - The report predicts that by 2026, nearly 50% of terminal devices in the Chinese market will feature AI engine technology, marking a pivotal moment for edge AI applications across various sectors, including smart driving and healthcare [4][7]. - The transition from "Chat" to "Agent" interaction paradigms is expected to drive the proliferation of AI applications, with significant growth in both consumer and enterprise services [7]. Industry Overview - The computer industry comprises 337 listed companies with a total market capitalization of approximately 47,041.14 billion CNY and a circulating market value of about 40,689.18 billion CNY [4]. - The absolute performance of the industry over the past 12 months has been 48.0%, with a relative performance of 22.1% compared to the benchmark index [5]. Key Companies and Predictions - Notable companies in the industry include Cambricon, Haiguang Information, and Moer Thread, with various revenue and profit forecasts for 2024 and 2025 [8]. - For instance, Industrial Fulian is projected to have a revenue of 6,084.7 million CNY in 2024, increasing to 8,989.1 million CNY in 2025, with a PE ratio decreasing from 52.6 to 35.6 [8]. Investment Recommendations - The report suggests investment opportunities in domestic computing power companies such as Cambricon and Haiguang Information, as well as enterprise service providers like Kingsoft Office and Huazhu Network [7]. - Specific application scenarios for investment include finance, education, healthcare, and industrial sectors, with companies like iFlytek and Huidian Technology highlighted for their potential [7].

Group 1 - The core viewpoint of the articles is that Liontech Holdings has launched a significant technological advancement with its multi-model large language model platform, Geene M2, which integrates various leading language models and offers innovative services [1][6] - Geene M2 features a tiered pricing strategy that allows users to select plans based on their needs, ranging from a free plan with 10GB of storage to a professional plan at $18 per month with 20GB, and an enterprise plan at $36 per month with 60GB [1] - This competitive pricing model aims to make advanced AI technology accessible to a wide range of users, from startups to large institutions, significantly reducing the cost of traditional enterprise software [1] Group 2 - The global AI solutions market is projected to grow rapidly, from $150 billion in 2024 to over $500 billion by 2029, presenting a substantial market opportunity for Liontech Holdings [2] - Geene M2 will focus on key application scenarios in finance, business, and digital assets, helping the company capitalize on this fast-growing market and strengthen its leading position in the industry [2] - The launch of Geene M2 demonstrates Liontech Holdings' strong capabilities and forward-looking vision in the AI field, providing powerful features and flexible usage options while lowering the barriers for enterprises to adopt AI technology [6]

Core Insights - There is a significant shift in consumer behavior towards mobile usage of AI tools, with mobile reach growing by 5.3% while PC usage declined by 11.1% [2] - Mobile adoption of AI assistants has surged by 82% from November 2024 to June 2025, indicating a narrowing gap with desktop usage [3] - Leading brands are positioning AI assistants as personal companions, enhancing user engagement through mobile-native features [3] Mobile vs. PC Usage - Mobile reach increased from 69.7 million to 73.4 million users, reflecting a 5.3% growth [2] - PC usage saw a decline of 11.1%, highlighting a shift in consumer preferences [2] AI Assistant Adoption - The adoption of AI assistants on mobile platforms grew by 82% over the specified period, showcasing a strong trend towards mobile usage [3] - OpenAI mobile users exhibit the highest loyalty, with lower cross-platform usage compared to Google and Microsoft users [3] Brand Performance - The fastest-growing AI tools on mobile from March to June 2025 include Microsoft Copilot (+175%), Google Gemini (+68%), and OpenAI ChatGPT (+17.9%) [6] - The data indicates that users are gravitating towards AI tools that integrate seamlessly into their mobile experiences [3] Strategic Opportunities - The mobile surge presents strategic opportunities for AI providers, including native integration with devices and partnerships to enhance ecosystem reach [3]

Core Insights - Amazon is struggling to attract top AI talent due to its unique compensation structure, reputation for being behind in AI, and strict return-to-office policies [1][4][7] Compensation Challenges - The internal document highlights that Amazon's fixed salary ranges and egalitarian pay philosophy result in lower compensation compared to competitors, making it less attractive for top tech talent [4][10] - The company has not increased salary ranges for key positions in recent years, which has hindered its ability to recruit top AI talent [4] - Amazon's stock vesting plan, which defers more compensation to later years, is less appealing to new hires, including executives who often do not receive cash bonuses [4] Perception of AI Lag - Amazon is perceived as lagging in the AI field, particularly in generative AI, which has intensified competition for specialized talent [5][6] - Reports indicate that Amazon's engineer retention rate is lower than that of competitors like Meta, OpenAI, and Anthropic [5] - Concerns about Amazon's market share being eroded by competitors were raised during a recent earnings call, leading to a decline in the company's stock price [6] Return-to-Office Policy - Amazon's strict return-to-office policy has created logistical challenges and limited its ability to recruit high-demand talent with generative AI skills [7][9] - The policy requires employees to relocate to designated office centers, which has led to job offer rejections from potential candidates [8][9] - Reports indicate that Oracle has successfully recruited over 600 employees from Amazon in the past two years, largely due to this strict policy [9] Recruitment Strategy Adjustments - In response to these challenges, Amazon plans to optimize its compensation and location strategies and establish specialized recruitment teams for generative AI [6][8] - The company is exploring the possibility of offering more flexible work location positions to attract talent [7][8]

Key Points - Huawei's Yu Chengdong emphasized the stability of their vehicles compared to competitors, highlighting a revolutionary innovation in chassis technology with the iDVP platform, which triples the number of perception components compared to traditional chassis [2][3] - Zhi Mi Technology distributed nearly 40 million yuan in incentive bonuses in a single month, with multiple employees receiving six-figure rewards, indicating a strong performance-based culture [4][5] - JD Global Purchase is experimenting with a new live-streaming sales model during the Qixi Festival, involving a competition between male and female idol groups, reflecting the growing trend of interactive e-commerce [7] - 360's revenue for the first half of 2025 reached 3.827 billion yuan, marking a 3.67% increase year-on-year, indicating a return to growth after previous declines [11] - Jianghuai Automobile reported a 356% drop in net profit for the first half of 2025, with a loss of 773 million yuan, attributed to international market challenges and production ramp-up issues [12][13] - Xpeng Motors' CEO mentioned that many have suggested changing the company's name, believing it could double sales, highlighting branding challenges in the automotive sector [14] - Cambrian's market value surged to 579.4 billion yuan, making its founder the richest person in Nanchang, with a personal fortune exceeding 150 billion yuan, showcasing the rapid growth in the AI chip sector [15] - Porsche announced the suspension of its self-developed high-performance electric vehicle battery project due to market conditions, leading to layoffs and a potential transfer of remaining employees to Volkswagen's battery subsidiary [23] - Tesla was ordered to pay approximately 2.425 billion yuan in damages after a jury found it partially responsible for a fatal accident, following its refusal to settle for 60 million dollars [24][25] - Elon Musk's xAI filed a lawsuit against Apple and OpenAI, alleging anti-competitive behavior in the AI market, reflecting ongoing tensions in the tech industry [26]

Group 1 - The core narrative around technology companies investing heavily in artificial intelligence (AI) has shifted positively, with major firms like Microsoft, Meta, and Alphabet committing billions to maintain a competitive edge in the AI race [1][2] - Microsoft’s stock surged as its market capitalization surpassed $4 trillion, driven by a record $30 billion capital expenditure guidance and strong revenue growth in its Azure cloud computing business, indicating the lasting potential of its AI initiatives [1] - Meta's CEO Mark Zuckerberg announced a $2 billion increase in annual capital expenditure expectations to a range of $66-72 billion, highlighting the company's commitment to advancing AI technology, which resulted in a 13% stock price increase [2] Group 2 - Alphabet's quarterly report showcased a 32% growth in its cloud business, prompting an increase in its 2025 capital expenditure guidance to $75 billion, primarily for AI infrastructure [2] - Amazon's capital expenditure for the second quarter reached $31.4 billion, with expectations to maintain this investment level, projecting a total annual expenditure of $118 billion, as it supports AI competitor Anthropic [2] - The competition for top AI talent has intensified, with Zuckerberg leading the charge by investing billions to attract engineers and researchers from rivals like OpenAI, Apple, and Google, contributing to a total investment nearing $400 billion among the four major companies this year [2][3]