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景顺 · 2026/08/26

投资者如何参与人工智能

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投资者如何参与人工智能

关键要点

ChatGPT及其他生成式人工智能工具使用量的激增,让投资者看到了它们在提升整个经济的利润和生产效率方面的潜力。

亚马逊、特斯拉、霍尼韦尔和直觉外科等创新公司正在引领人工智能拓展边界的浪潮。

投资纳斯达克-100指数,可以接触到一些最具创新力的公司,这些公司正在利用人工智能推动业务发展。

人工智能(AI)可能会改变整个行业,并为投资者创造机遇。曾经看似趋势的事物可能变成全面转型,持久且嵌入式的智能将融入我们经济的方方面面。随着人工智能技术和应用的不断发展,机遇已不再局限于运营云平台和制造半导体的公司。在日益普及的各行业应用中,人工智能相关的增长潜力遍及整个经济。

ChatGPT的推出似乎已经是很久以前的事了。到2026,年初,每周用户数已突破700百万,而2022.1年末这一数字为100百万。生成式人工智能应用已大量涌现。企业已开始适应。人工智能投资也蓬勃发展。资本支出自2022年以来增长了两倍多,预计2026年将超过$650亿美元,2027.2年将达到$700亿美元。随着能够自主决策并持续学习的智能体人工智能的出现,市场已开始关注。

纳斯达克-100指数提供了接触一些最具创新力公司的机会,这些公司正在利用人工智能推动业务向前发展。

此前,人工智能的重点集中在字母表、Meta平台和英伟达等创新公司引领潮流。字母表旗下的谷歌搜索引擎在其众多搜索结果页面中加入了人工智能概览。Meta平台通过人工智能算法增强了Facebook和Instagram,用于个性化内容推送并优化广告投放。英伟达则引领了支撑人工智能基础设施的半导体和硬件市场。

尽管这些公司仍是重要的参与者,但发展趋势已开始演变。人工智能需要广泛的基础设施来支持持续、系统性的应用。各行各业的公司可能很快将利用这一基础设施,突破可能的极限。应用正从数字人工智能扩展到物理人工智能——即超越屏幕、与现实世界互动的人工智能。

越来越多的公司正在拓展边界。

亚马逊(AMZN)

亚马逊长期以来一直是全球领先的在线零售商。它利用这一地位构建了全球最大的云平台——亚马逊网络服务(AWS)——以及蓬勃发展的数字广告业务。在过去几年中,该公司还投资了人工智能项目,支持了进一步的创新和业务增长。

亚马逊利用人工智能帮助个性化客户的购物体验,改进搜索并根据兴趣和行为推荐产品。该公司的聊天机器人购物助手Rufus回答问题和帮助解决问题。帮助客户找到他们需要的东西可能会提高销售额。一致且高效地促进订单跟踪和退货/退款可能会降低成本。支持聊天机器人的技术也可以通过AWS出售给其他公司,可能增加新的收入。3

特斯拉 (TSLA)

特斯拉在可能于2026.4年底占全球新车销量四分之一的市场中生产和销售电动汽车。其中许多汽车可能很快实现自动驾驶。该公司正利用人工智能助力实现自动驾驶的愿景。这意味着,在适当监督下,汽车可以在高速公路和城市街道上行驶,执行转弯、变道和遇红绿灯停车等操作。

特斯拉的全自动驾驶(FSD)系统基于公司车队数十亿英里的真实驾驶数据进行训练。视频教会AI模型理解各种驾驶环境并做出相应反应。系统中会突出罕见的驾驶挑战,并定期向车辆推送增强功能。自动驾驶功能可能使特斯拉汽车对买家更具吸引力。该附加功能采用订阅模式,开辟了每月收入流。

霍尼韦尔(HON)

霍尼韦尔开发用于建筑、工厂和飞机等各种工业用途的技术。该公司的工业软件平台称为Honeywell Forge,也使其处于物理AI的前沿。组织可以将这一AI驱动的智能层应用于其各种资产,以连接系统、增加洞察,并可能改善运营。这些工具使其能够自主控制和管理物理基础设施,或者正如霍尼韦尔所表述的,从自动化迈向自主化。

Forge帮助霍尼韦尔将其产品扩展到硬件之外,并更深入地渗透到客户的日常运营中。该公司以订阅方式销售其基于云的AI软件,并提供持续服务,从而带来经常性、可重复的收入。5据该公司称,销售一直很旺盛。公司预计在2026年,来自Forge相关AI软件的年度经常性收入将增长15%。6这一业务在其现有业务之上,未来可增强收入流。

直觉外科(ISRG)

直觉外科长期以来一直是机器人辅助手术领域的先驱。由外科医生在操控台上控制的机器人器械,能够提高精准度,并在人体内狭窄空间灵活操作。该公司的外科手术系统已帮助执行了多种微创手术,涵盖疝气、肾脏、肺部等,有望提高准确性、可视性和手术效果。

直觉外科的达芬奇 5 手术机器人融入了人工智能,以监测机器人动作、标注手术步骤并给出性能反馈。该公司还致力于部署一项解剖识别功能,使外科医生能够区分组织平面和关键身体结构。将人工智能加入这项技术旨在辅助外科医生,而非取代他们。但这些系统可能需要配件和服务合同,这可能会为医院带来经常性收入。

通过纳斯达克-100布局人工智能趋势

亚马逊、特斯拉、霍尼韦尔和直觉外科等仅是众多纳斯达克-100公司中的一部分,它们在非必需消费品、工业、医疗保健等行业不断突破人工智能的边界。随着人工智能的持续发展,纳斯达克-100成为把握人工智能技术日益普及趋势的直接而有力的途径。

通过Invesco QQQ ETF和Invesco纳斯达克100ETF,触达纳斯达克的创新者。

ChatGPT在工作场所的使用和普及模式,OpenAI,1月22,日2026。

人工智能交易格局正在发生变化,Invesco,4月30,日2026。

电动汽车销量创历史新高,但美国市场除外,Kelley Blue Book,8月3,日2026。

楼宇自动化助力霍尼韦尔销售增长,Facilities Dive,1月30,日2026。

第二季度2026业绩演示,霍尼韦尔,7月23,日2026。

所有投资均涉及风险,包括本金损失的风险。

过往业绩不代表未来表现。

无法直接投资于指数。

本内容不构成对任何特定投资者的投资策略或产品的推荐。投资者在做出任何投资决策前应咨询财务专业人士。

本内容不应被解读为对亚马逊、特斯拉、霍尼韦尔或直觉外科的投资认可或推荐。

人工智能技术公司面临特定风险,如市场规模较小、商业周期变化、经济增长、技术进步、技术过时和监管等。这些公司可能产品、市场、资源或人员有限,导致其证券更具波动性,尤其是小型初创企业。快速的技术变革可能对其业绩产生不利影响。人工智能公司通常依赖专利、版权、商标和商业秘密来保护其技术,但无法保证这些保护措施能够充分有效。大量的研发投入并不能确保产品或服务的成功。

医疗保健行业面临政府监管、科学进步导致的技术过时和技术创新等相关风险。

纳斯达克-100指数包含在纳斯达克股票市场上市的市值最大的100家国内外非金融证券。

QQQ/QQQM基金若集中于特定行业(如信息技术),与分散化投资相比,风险更大,且受市场波动的影响更大。

投资ETF涉及风险,包括可能损失资金。基金份额非主动管理,面临与股票类似的风险,包括卖空和保证金维持要求。常规券商佣金适用。基金的回报可能无法跟踪标的指数的回报。基金还面临某些其他风险。有关投资本基金相关风险的更多信息,请参阅当前招股说明书。

投资外国发行人证券的风险可能包括外币汇率波动、政治和经济不稳定以及外国税收问题。

基金为非分散化投资,可能比分散化投资具有更大的波动性。

Invesco纳斯达克100指数基金:基金可能因指数中一个或多个成分股的相对市值或指数权重变化而变得“非分散化”(依据经修订的《1940,年投资公司法》定义)。在此情况下,基金从分散化状态转为非分散化状态时,无需征求股东批准。

衍生品可能比传统投资波动更大、流动性更低,并面临市场、利率、信用、杠杆、交易对手和管理风险。对衍生品的投资可能损失超过投入的现金金额。

投资外国发行人证券的风险可能包括外币汇率波动、政治和经济不稳定以及外国税收问题。

与许多投资公司不同,标的基金不采用旨在获得超越某些标的交易所交易基金标的指数回报的投资策略。因此,除非某证券被从标的指数中剔除,否则基金不一定会卖出该证券。

科技相关行业提供的许多产品和服务面临快速过时的风险,这可能降低发行人的价值。

上述观点为作者截至8月7,日2026的观点。这些评论不应被解读为建议,而是对更广泛主题的说明。前瞻性陈述并非对未来结果的保证。它们涉及风险、不确定性和假设;无法保证实际结果与预期不会存在重大差异。

完整英文原文

Key takeaways

The explosion in usage of ChatGPT and other generative AI tools has opened investors’ eyes to their potential to boost profits and productivity throughout the economy.

Innovative companies like Amazon, Tesla, Honeywell, and Intuitive Surgical are among those leading the charge in pushing AI’s boundaries.

Investing in the Nasdaq-100 Index provides exposure to some of the most innovative companies leveraging AI to drive their businesses forward.

Artificial intelligence (AI) may transform entire industries and create opportunities for investors. What once seemed like a trend could become a wholesale shift, with persistent, embedded intelligence woven into the fabric of our economy. As AI technology and applications have continued to evolve, opportunities have emerged beyond companies that run cloud platforms and build semiconductors. AI-related growth potential exists across the economy, driven by increasing adoption in various sectors.

The introduction of ChatGPT seems like it was a long time ago. Weekly users topped 700 million by the start of 2026, up from 100 million in late 2022.1 Generative AI apps have proliferated. Businesses have started to adapt. And AI investment has boomed. Capital expenditures have more than tripled since 2022 and been forecasted to exceed $650 billion in 2026 and $700 billion in 2027.2 With the emergence of agentic AI, which can determine its own actions and learn as it goes, the market has taken notice.

The Nasdaq-100 Index provides exposure to some of the most innovative companies leveraging AI to drive their business forward.

The focus within AI had been on innovative companies like Alphabet, Meta Platforms, and Nvidia to lead the charge. Alphabet’s Google search engine added an AI overview to many of its search results pages. Meta Platforms enhanced Facebook and Instagram with AI algorithms that personalize content delivery and help optimize advertising. Nvidia led the semiconductor and hardware market upon which AI infrastructure was built.

While these companies remain important players, the narrative has started to evolve. AI requires a broad infrastructure that supports continuous, system-wide usage. Companies across every industry may soon leverage that infrastructure to push the limits of what’s possible. Applications are expanding from digital AI into physical AI — artificial intelligence that moves beyond screens to interact in the physical world.

More companies are pushing the boundaries.

Amazon (AMZN)

Amazon has long been the world’s leading online retailer. It leveraged this position to build the world’s biggest cloud platform — Amazon Web Services (AWS) — and a thriving digital advertising business. In the last few years, the company has also invested in artificial intelligence initiatives that’ve supported further innovation and business growth.

Amazon has used AI to help personalize the shopping experience for customers, improving searches and suggesting products based on interests and behavior. Rufus, the company’s chatbot shopping assistant, answers questions and helps resolve issues. Assisting customers in finding what they need may improve sales. Facilitating order tracking and returns/refunds consistently and efficiently may reduce costs. The technology that supports chatbots may also be sold to other companies through AWS, potentially adding new revenue.3

Tesla (TSLA)

Tesla builds and sells electric vehicles in a global market that could reach a quarter of all new car sales by the end of 2026.4 Many of those cars may soon operate themselves. The company is using AI to help realize the dream of self-driving. That means a car, properly supervised, can operate on highways and city streets, performing tasks like turning, changing lanes, and stopping at traffic lights.

Tesla’s Full Self-Driving (FSD) system trains on billions of miles of real-world driving data from the company’s fleet. Video teaches AI models to understand the various driving environments and react accordingly. Rare driving challenges are highlighted in the system, with regular enhancements pushed out to vehicles. The self-driving feature may make Teslas more attractive to buyers. The add-on is based on a subscription model that opens up a monthly revenue stream.

Honeywell (HON)

Honeywell develops technology for various industrial uses in buildings, factories, and aircraft. The company’s industrial software platform, known as Honeywell Forge, has put it at the forefront of physical AI as well. An organization can apply this AI-powered intelligence layer to their various assets to connect systems, add insights, and potentially improve operations. The tools let it autonomously control and manage physical infrastructure or, as Honeywell frames it, move from automation to autonomy.

Forge has helped Honeywell expand its offerings beyond hardware and burrow deeper into its clients’ day-to-day operations. The company sells its cloud-based AI software as a subscription with ongoing service, providing regular, recurring revenue.5 Sales have been brisk, according to the company. It expects 15% growth in annual recurring revenue in 2026 from Forge-related AI software.6 This, on top of their existing business, could strengthen revenue streams going forward.

Intuitive Surgical (ISRG)

Intuitive Surgical has long been a pioneer in robot-assisted surgery. Robotic instruments, controlled by a surgeon at a console, can improve precision and navigate tight spaces within the body. The company’s surgical systems have helped perform a wide range of minimally invasive procedures for hernias, kidneys, lungs, and more, potentially improving accuracy, visibility, and outcome.

Intuitive’s da Vinci 5 surgical robots incorporate AI to monitor robot movements, annotate and benchmark procedures, and give performance feedback. The company is also working to deploy an anatomy identification feature that lets surgeons differentiate between tissue planes and critical body infrastructure. The addition of AI to this technology is meant to help surgeons, not replace them. But the systems may require accessories and service contracts which could create recurring revenue from hospitals.

Playing the AI trend with the Nasdaq-100

Amazon, Tesla, Honeywell, and Intuitive Surgical are just some of the many Nasdaq-100 companies pushing the boundaries of AI in discretionary, industrials, health care, and other sectors. As AI continues to evolve, the Nasdaq-100 is a straightforward yet powerful way to get exposure to the increasing adoption of AI technologies.

Access the innovators of the Nasdaq with the Invesco QQQ ETF and the Invesco NASDAQ 100 ETF.

ChatGPT usage and adoption patterns at work, OpenAI, Jan 22, 2026.

The AI trade is changing shape, Invesco, Apr 30, 2026.

EV Sales Hit Record High, Just Not in U.S., Kelley Blue Book, Aug 3, 2026.

Building automation helps lead Honeywell sales growth, Facilities Dive, Jan 30, 2026.

Second Quarter 2026 Earnings Presentation, Honeywell, Jul 23, 2026.

All investing involves risk, including the risk of loss.

Past performance does not guarantee future results.

An investment cannot be made into an index.

This does not constitute a recommendation of any investment strategy or product for a particular investor. Investors should consult a financial professional before making any investment decisions.

This content should not be construed as an endorsement for or recommendation to invest in Amazon, Tesla, Honeywell or Intuitive Surgical.

Artificial intelligence (AI) technology companies are sensitive to specific risks such as small markets, business cycle changes, economic growth, technological progress, obsolescence, and regulation. These companies may have limited products, markets, resources, or personnel, making their securities more volatile, especially for smaller start-ups. Rapid technological changes can adversely affect their results. AI companies often rely on patents, copyrights, trademarks, and trade secrets to protect their technology, but there's no guarantee these protections will be sufficient. Significant research and development (R&D) spending doesn’t ensure product or service success.

The health care industry is subject to risks relating to government regulation, obsolescence caused by scientific advances, and technological innovations.

The Nasdaq-100 Index includes 100 of the largest domestic and international non-financial securities listed on the Nasdaq Stock Market based on market capitalization.

QQQ/QQQM Investments focused in a particular sector, such as information technology, are subject to greater risk, and are more greatly impacted by market volatility, than more diversified investments.

There are risks involved with investing in ETFs, including possible loss of money. Shares are not actively managed and are subject to risks similar to those of stocks, including those regarding short selling and margin maintenance requirements. Ordinary brokerage commissions apply. The Fund's return may not match the return of the Underlying Index. The Fund is subject to certain other risks. Please see the current prospectus for more information regarding the risk associated with an investment in the Fund.

The risks of investing in securities of foreign issuers can include fluctuations in foreign currencies, political and economic instability, and foreign taxation issues.

The Fund is non-diversified and may experience greater volatility than a more diversified investment.

Invesco NASDAQ 100 Index Fund: The Fund may become “non-diversified,” as defined under the Investment Company Act of 1940, as amended, solely as a result of a change in relative market capitalization or index weighting of one or more constituents of the Index. Shareholder approval will not be sought when the Fund crosses from diversified to non-diversified status under such circumstances.

Derivatives may be more volatile and less liquid than traditional investments and are subject to market, interest rate, credit, leverage, counterparty, and management risks. An investment in a derivative could lose more than the cash amount invested.

The risks of investing in securities of foreign issuers can include fluctuations in foreign currencies, political and economic instability, and foreign taxation issues.

Unlike many investment companies, an underlying fund does not utilize an investing strategy that seeks returns in excess of the underlying index of certain underlying exchange-traded funds. Therefore, it would not necessarily sell a security unless that security is removed from the underlying index.

Many products and services offered in technology-related industries are subject to rapid obsolescence, which may lower the value of the issuers.

The opinions referenced above are those of the author as of Aug 7, 2026. These comments should not be construed as recommendations, but as an illustration of broader themes. Forward-looking statements are not guarantees of future results. They involve risks, uncertainties and assumptions; there can be no assurance that actual results will not differ materially from expectations.

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AI 分析
由 AI 依据上文研报生成 · 非原文直译、非机构原话 · 重要判断请核对官网原文
关键论点
  • AI应用正从云计算和半导体扩展到整个经济领域。
  • 物理AI正在成为新前沿,将AI从数字领域扩展到现实世界应用。
  • 亚马逊利用AI增强电商和云服务,可能提升销售和收入。
  • 特斯拉的全自动驾驶利用AI实现自动驾驶,开辟新的收入来源。
  • 霍尼韦尔的Forge平台将AI应用于工业运营,推动经常性软件收入。
  • 直觉外科将AI整合到机器人手术中,改善结果并创造经常性收入。
  • 纳斯达克100指数提供对创新AI驱动公司的广泛敞口。
风险
  • AI科技公司面临快速过时、监管变化和波动性风险。
  • 特定行业(如科技和医疗保健)的投资面临更大风险。
  • ETF投资面临包括本金损失和价格波动在内的风险。