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大摩:除减速器外,机器人硬件皆可自研——核心壁垒正迁移到软件与数据
Hua Er Jie Jian Wen· 2025-11-24 06:44
然而,一个关键的例外是减速器。报告明确指出,减速器是唯一被与会公司一致提及需要外购的核心零 部件。 机器人行业的竞争格局正在重塑。硬件的普遍可制造性正将真正的护城河推向软件算法、数据积累和生 态系统构建。 据追风交易台消息,摩根士丹利11月23日发布的纪要显示,该行在亚太峰会期间与极智嘉、优必选、越 疆科技等多家机器人公司进行了交流。会议反馈显示,全球投资者对机器人领域的兴趣依旧浓厚,但行 业内部的关注焦点已然转移。 行业参与者日益形成共识:软件将是决定未来竞争格局的关键差异化因素。与会公司普遍强调,除了减 速器等少数精密部件外,大部分硬件已具备自研能力。 硬件自研成趋势,减速器成唯一例外 据摩根士丹利报告,机器人硬件的自主研发已成为行业主流趋势。在峰会上,大多数机器人集成商都强 调了其内部组件开发的能力和构建自身生态系统的努力。这表明,在机器人本体的硬件制造环节,技术 壁垒正在被逐渐打破。 这一转变对投资者评估机器人公司提出了新的要求。市场的关注点正从单纯的硬件制造能力,转向企业 在软件开发、数据训练以及构建高效生态系统方面的实力。 软件与数据:新的核心战场 如果说硬件是机器人的"身体",那么软件和数据则是 ...
英伟达救不了AI股,市场想看到什么?
美股IPO· 2025-11-24 03:41
"我们看到了财报确认需求强劲后的短暂释然性反弹,但投资者现在开始问下一个问题:电力需求怎么办?利润率呢?投资回报率(ROI) 是什么?" Apeira Capital Advisors的管理合伙人Natalie Hwang表示,"只要市场存在悬而未决的问题,释然性反弹就无法持久。" 即使是作为人工智能(AI)浪潮核心的英伟达,其亮眼的业绩也未能平息市场的焦虑。 寒意蔓延:AI生态圈普遍承压 英伟达的强劲财报未能提振AI板块,反而加深了市场焦虑。分析认为,投资者的焦点已从巨额资本支出转向投资回报率,导致从芯 片制造商到科技巨头的相关股票普遍承压,CoreWeave本月跌超40%,甲骨文跌29%。随着对高估值和盈利能力的质疑加剧,AI 交易正进入一个更加动荡的阶段,市场迫切需要看到实际的利润兑现。 上周,英伟达在公布强劲财报后,其股价在上周四一度上涨超过5%,但随后迅速逆转,收盘下跌3.2%。这种过山车式的行情迅速 传导至整个市场,标普500指数和纳斯达克100指数同样冲高回落,最终收跌。 这一戏剧性的反转凸显出,一份强劲的业绩报告已不足以支撑AI概念股的高估值。市场的疑虑正在从英伟达蔓延至整个AI生态系 统,包 ...
英伟达救不了AI股,市场想看到什么?
Hua Er Jie Jian Wen· 2025-11-24 00:07
即使是作为人工智能(AI)浪潮核心的英伟达,其亮眼的业绩也未能平息市场的焦虑。 上周,英伟达在公布强劲财报后,其股价在上周四一度上涨超过5%,但随后迅速逆转,收盘下跌3.2%。这种过山车式的行情迅速传导至整个市 场,标普500指数和纳斯达克100指数同样冲高回落,最终收跌。 这一戏剧性的反转凸显出,一份强劲的业绩报告已不足以支撑AI概念股的高估值。市场的疑虑正在从英伟达蔓延至整个AI生态系统,包括其他半 导体公司以及微软、Meta等大举投资的科技巨头,它们的股价近期均承受了巨大压力。 "我们看到了财报确认需求强劲后的短暂释然性反弹,但投资者现在开始问下一个问题:电力需求怎么办?利润率呢?投资回报率 (ROI)是什么?" Apeira Capital Advisors的管理合伙人Natalie Hwang表示,"只要市场存在悬而未决的问题,释然性反弹就无法持久。" 寒意蔓延:AI生态圈普遍承压 市场的担忧情绪正在AI生态系统中蔓延。一个追踪芯片相关股票的指数在11月下跌了11%,正迈向自2022年以来最糟糕的月份,其中AMD和Arm 的跌幅均超过20%。 在AI支出的另一端,那些大举投资的公司也面临着股价压力。 ...
企业AI应用率提升,投入产出不明显成AI落地首要挑战
Xin Lang Cai Jing· 2025-11-21 18:17
11月20日,澳洲会计师公会华东和华中区委员会会长、澳洲资深注册会计师金科表示,AI基础设施前 期投入巨大,部分企业缺乏清晰的投资回报评估框架,难以量化AI对业务的实际价值,易陷入投入看 不到回报或期望收益的困境中。中小企业技术人才短缺,AI应用难以有效推进和规模化落地。 投入产出回报不明显,阻碍AI落地应用 澳洲会计师公会最新发布的《2025年商业科技应用调查》(下称"调查")访问了亚太区1117位不同行业 的财务、会计和金融人士,调查显示,过去12个月,中国企业的人工智能应用率与应用成熟度同步提 升。人工智能、数据分析和可视化软件、网络安全软件是应用最多的三项技术。提高运营效率、降低成 本和改善客户体验是企业科技应用的三大驱动因素。随着技术应用深化,企业对AI项目的价值预期愈 发务实,提升投资回报率已成核心关注点。 澳洲会计师公会华南区委员会会长、澳洲资深注册会计师陈建峰表示,财务成本与低投资回报率是亚太 区企业面临的共同挑战。"超过1/3的受访大型企业更加关注科技应用成效的不确定性、数据质量问题和 复杂的系统遗留问题。当人工智能深度融入企业商业模式,会牵涉更复杂的解决方案和更前沿的技术, 往往需要内部或 ...
How smart borrowing can grow your wealth
Yahoo Finance· 2025-11-18 16:01
Taking on debt isn't always a bad thing. In fact, some strategic borrowing could help you build wealth, as long as you have a clear purpose for the funds. When used wisely, debt such as a personal loan can be an effective tool for growing your income, improving your credit, consolidating debt, or increasing the value of your home. Using a personal loan for a vacation or other discretionary expense, however, won’t improve your long-term financial picture. Knowing how to use a personal loan strategically c ...
行家偷偷收购老旧小区顶楼,知情人透露:其中商机你想不到
Sou Hu Cai Jing· 2025-11-16 19:50
其次,拆迁的"暴富"效应是投资者们的一大期盼。以上海为例,一套33平米的顶楼老房,购入成本可能仅为180万。如果赶上拆迁,拆迁补偿款可能高达500 万以上,投资回报率惊人。这种收益远高于其他投资方式,吸引着部分投资者博取拆迁红利。 在寸土寸金的一二线城市中心,一些老旧小区的顶楼,正悄然成为资深投资客眼中的"香饽饽"。这些房龄动辄超过二十年,楼层多为五六层的老房子,为何 能吸引他们的目光?要知道,这些顶楼房源往往存在着隔热、隔音效果差,房屋结构老旧,墙壁易受潮发霉,管线老化等问题,更别提没有电梯带来的不 便。面对种种不利因素,投资者究竟看中了什么? 最后,老房子的投资回报率相对较高也是吸引投资者的原因之一。以上海一套35平米的顶楼老房为例,如果以180万购入,每月租金可达4000元,年租金收 入4.8万。这种投资回报率不仅高于银行存款利率,也低于股票、基金等高风险投资,成为一部分投资者追求稳健收益的选择。 知情人士透露,这背后隐藏着不为人知的商机。投资者们瞄准的,无非是以下几个方面:学区优势、拆迁机遇、旧改潜力,以及相对较高的投资回报率。 然而,需要指出的是,投资老旧小区顶楼房源也存在一定的风险。首先,老旧小区 ...
中国资产也出海
小熊跑的快· 2025-11-14 04:11
Group 1: Tencent Financial Performance - Tencent's Q3 2025 operating revenue reached 192.9 billion yuan, a year-on-year increase of 15.4%, exceeding expectations by 2% [1] - Adjusted net profit attributable to shareholders was 70.6 billion yuan, up 18.0% year-on-year, surpassing expectations by 7% [1] - The company's gross margin improved to 56.41% from 53.13% in the same period last year, while net profit margin rose to 33.67% [1] Group 2: Capital Expenditure Insights - Tencent's capital expenditure (capex) for the first three quarters of 2025 was 59.566 billion yuan, a year-on-year increase of 48.24% [1] - In Q3 2025, capex was 12.983 billion yuan, reflecting a year-on-year decline of 24.05% and a quarter-on-quarter decrease of 32.05% [1] - The decline in capex is attributed to a lack of H20 and limited purchases of other chips, with no revenue from computing power leasing included [1] Group 3: Investment Sentiment and Market Position - Some investors view Tencent as a stable investment, especially in light of deteriorating investment returns for many M7 members [1] - There is a possibility that foreign capital may increasingly allocate to Tencent, similar to investments in Google and Apple, due to its perceived stability [1] - The article suggests that Chinese assets may attract global funds in a different manner, especially as many are traded on NASDAQ [1] Group 4: Emerging Investment Products - New ETFs focused on Chinese technology, such as the Rayliant-ChinaAMC Transformative China Tech ETF (CNQQ), are now available for trading on NASDAQ [2][7] - The CNQQ ETF includes major A/H shares and US-listed companies, allowing for a 24-hour trading cycle [7] - The average P/E ratio of the ETF's constituent stocks is 27, lower than the NASDAQ 100 index at 39, indicating potential value [8] Group 5: Market Trends and Future Outlook - The technology sector within the CNQQ ETF is primarily composed of electronic technology (26.67%) and technology services (21.29%), covering strategic areas like semiconductors and AI [8] - With the Federal Reserve's interest rate cuts and increasing foreign interest in Chinese technology, the long-term performance of core Chinese tech assets remains promising [8] - The growth of CNQQ's scale may enhance its role in determining the pricing power of international capital in Chinese technology assets [8]
玩赚美国AI债务周期
2025-11-12 02:18
Summary of Conference Call on the US AI Debt Cycle Industry Overview - The conference call discusses the **US AI industry** and its current debt cycle characteristics, drawing parallels with the real estate sector's dynamics [1][2][6]. Key Points and Arguments 1. **Debt Cycle Characteristics**: The US AI industry exhibits significant debt cycle traits, characterized by rapid demand expansion and rising prices, which ultimately lead to declining investment returns. This mirrors the real estate cycle in China [2][6]. 2. **Capital Expenditure Growth**: There is an acceleration in capital expenditures within the US AI sector, with companies noticeably increasing leverage. However, this rapid expansion poses high risks and may likely lead to a future collapse [2][6]. 3. **Supply and Demand Dynamics**: On the supply side, US companies are reluctant to expand supply significantly to maintain monopoly profits, similar to the real estate sector's avoidance of investing in essential materials. This results in soaring resource prices and declining investment returns [3][5]. 4. **Impact of Debt Expansion**: The US's debt expansion has led to a capital return shift towards countries like China, particularly benefiting its manufacturing sector due to strong production capabilities. This shift results in a decline in domestic investment returns in the US [5][7]. 5. **Sustainability of Current Development Model**: The reliance on corporate leverage for AI development is fragile, with limited government leverage available. This could lead to valuation declines, and the current model is unlikely to be sustainable in the long term, risking bubble formation [6][10]. 6. **Global Energy Market Trends**: Investment trends in the global energy market are diversifying, with increased demand for AI and AIGC leading companies to invest in traditional energy sources (oil, coal) and new energy sectors. Prices for resources like oil, coal, and lithium carbonate are rising [8][9]. 7. **China's Economic Role**: China is leveraging technological innovation and traditional manufacturing to drive economic growth while reducing debt reliance. This strategy allows China to benefit from the demand released by US debt expansion without increasing supply, enhancing capital returns and stock market performance [9][10]. 8. **Investment Strategy Recommendations**: In the current macro environment, investment strategies should align with the US debt cycle. An aggressive strategy focusing on Chinese assets and commodities is recommended during US debt expansion, while a defensive strategy should be adopted if the US halts debt expansion [11][12]. Other Important Insights - The ongoing US debt cycle is seen as favorable for China, as it can produce nearly all major manufacturing products and is expected to benefit from the demand generated by US debt expansion [7][10]. - The relationship between asset volatility and the debt cycle is crucial, as sustained debt expansion typically leads to significant asset price fluctuations, creating trading opportunities for savvy investors [12].
3 Reasons to Avoid KBH and 1 Stock to Buy Instead
Yahoo Finance· 2025-11-07 04:01
Even though KB Home (currently trading at $60.50 per share) has gained 12.6% over the last six months, it has lagged the S&P 500’s 19.5% return during that period. This was partly driven by its softer quarterly results and may have investors wondering how to approach the situation. Is now the time to buy KB Home, or should you be careful about including it in your portfolio? Check out our in-depth research report to see what our analysts have to say, it’s free for active Edge members. Why Do We Think KB ...
美股跌的一些事
小熊跑的快· 2025-11-07 01:04
Group 1 - The core concern among major companies is the return on investment, particularly in relation to OpenAI's ambitious plans and financial stability [1] - OpenAI's five-year investment plan of 30GW and $1.4 trillion, with projected revenue of $12.9 billion, raises fears about its financial viability [1] - The sentiment in the market suggests that even if OpenAI fails, other AI players like Gemini and Claude will continue to thrive, indicating a broader resilience in the AI sector [2] Group 2 - As Thanksgiving approaches, there is a tendency for funds to be reallocated towards more stable assets, such as Google, TSMC, and Apple, which are perceived to have healthier margins and return on investment [4]