<p>人工智能（AI）股票最近对投资者来说证明是巨大的赢家——尤其是去年，当一些领先的参与者实现了双位数甚至三位数的百分比增长。尽管由于对唐纳德·特朗普总统关税计划的担忧，这些高增长公司的股价在今年早些时候暴跌，但投资者最近又回到了这个引人注目的故事上。</p>
<p>特朗普的贸易谈判以及与英国和中国达成的初步协议提升了人们的乐观情绪，认为他的关税不会导致美国消费者的成本大幅上升或对美国公司的盈利造成重大压力——这与许多人所担心的最坏情况形成对比。因此，投资者对投资那些依赖强劲经济环境才能蓬勃发展的公司感到更加舒适——例如 AI 行业的参与者。</p>
<p>这意味着许多投资者再次在问自己，今天哪些 AI 参与者看起来是最佳购买选择。<strong>Nvidia</strong>（NVDA 1.28%）和 <strong>Meta Platforms</strong>（META 0.73%）都旨在通过其激进的 AI 计划重塑未来。如果你只能购买一只，现在哪个是更好的 AI 投资？</p>
<p><img src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/image//query-b3A9cmVzaXplJnVybD1odHRwczovL2cuZm9vbGNkbi5jb20vZWRpdG9yaWFsL2ltYWdlcy84MjM2NTAvYW4tYWktcG93ZXJlZC1yb2JvdGljLWZpbmdlci1hbmQtYS1odW1hbi1maW5nZXItdG91Y2guanBnJnc9NzAw?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" width="700" height="466" original-src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/image//query-b3A9cmVzaXplJnVybD1odHRwczovL2cuZm9vbGNkbi5jb20vZWRpdG9yaWFsL2ltYWdlcy84MjM2NTAvYW4tYWktcG93ZXJlZC1yb2JvdGljLWZpbmdlci1hbmQtYS1odW1hbi1maW5nZXItdG91Y2guanBnJnc9NzAw"/></p>
<p>图片来源：Getty Images。</p>
<h2>支持 Nvidia 的理由</h2>
<p>Nvidia 已经取得了许多 AI 胜利。该公司建立了一个硬件和服务的帝国，使其成为任何创建 AI 平台或程序的组织的首选供应商。但其投资组合中的瑰宝是其图形处理单元（GPU）。它提供性能最佳的并行处理器，得益于其生态系统和制造领先地位，它们也是同类产品中销量最好的。由于云基础设施巨头和其他科技行业参与者的需求仍然超过供应，Nvidia 的销售额以双位数和三位数的百分比增长，并且每个季度都创下新的收入记录。</p>
<p>在其 2025 财年（截至 1 月 26 日），Nvidia 的收入增长了 114%，达到了创纪录的 1300 亿美元。而且该公司不仅在增长其收入——其净收入激增 145%，接近 730 亿美元，因为它继续在这些销售中产生高水平的盈利能力。</p>
<p>今天，Nvidia 的客户在其项目中严重依赖其硬件，因为其 GPU 是训练大型语言模型（LLM）以及推理（即使用这些训练模型处理真实数据以解决实际问题或进行预测的技术术语）的一些最佳芯片。Nvidia 还在帮助客户做更多的事情——从 AI 代理的设计到自主驾驶系统和药物发现平台的支持。</p>
<p>Nvidia 还在不断创新，以保持领先于竞争对手。它最近转向加速的时间表，每年发布基于新改进架构的芯片；之前，它大约每两年推出一次新架构。因此，这家公司可能会在 AI 的演变中继续发挥重要作用。</p>
<h2>支持 Meta Platforms 的理由</h2>
<p>你最熟悉 Meta，可能是作为社交媒体应用的拥有者，其中一些你可能每天都在使用——其核心的 “应用家族” 包括 Facebook、Messenger、WhatsApp 和 Instagram。而在这些平台上销售广告空间为公司提供了数十亿美元的收入和利润。</p>
<p>但今天，Meta 的重点是 AI。该公司构建了自己的大型语言模型 Llama，并将其开源，以便任何人都可以为其开发做出贡献。开源模型可以更快地创造出更高质量的产品——在这种情况下，它可能帮助 Meta 在该领域崭露头角。该公司已经付诸行动：今年计划投入多达 720 亿美元的资本支出，以增强其 AI 存在感。最近，Meta 还在大规模招聘，以填补其新成立的 Meta 超级智能实验室的职位。该业务部门将致力于基础模型如 Llama 以及其他 AI 研究项目。</p>
<p>在给员工的关于新 AI 部门的备忘录中，Meta 首席执行官马克·扎克伯格强调了其在 AI 开发中处于领先地位的原因：“我们有一个强大的业务，支持构建比小型实验室显著更多的计算能力。我们在构建和发展能够触及数十亿人的产品方面有更深的经验，” 他说。</p>
<p>这些观点是正确的，它们可能帮助 Meta 实现其目标——并在长期内为投资者带来丰厚的回报。</p>
<h2>哪只股票更值得购买？</h2>
<p>从估值的角度来看，你可能会选择 Meta，因为该股票相对于未来收益预期的估值比 Nvidia 便宜——这一情况通常是如此。</p>
<p><img src="https://imageproxy.pbkrs.com/https://media.ycharts.com/charts/bbbca09d8ba34bc24295f6f4cab19363.png?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" width="720" height="456" original-src="https://imageproxy.pbkrs.com/https://media.ycharts.com/charts/bbbca09d8ba34bc24295f6f4cab19363.png"/></p>
<p>NVDA 市盈率（前瞻性）数据来自 YCharts。</p>
<p>但仔细观察会发现，尽管 Nvidia 的估值自年初以来有所下降，但 Meta 的估值实际上是上升的。</p>
<p><img src="https://imageproxy.pbkrs.com/https://media.ycharts.com/charts/64894fe1469d26141108e03865c9cf09.png?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" width="720" height="456" original-src="https://imageproxy.pbkrs.com/https://media.ycharts.com/charts/64894fe1469d26141108e03865c9cf09.png"/></p>
<p>NVDA 市盈率（前瞻性）数据来自 YCharts。</p>
<p>考虑到这一点，Nvidia 看起来是一个更具吸引力的购买机会，特别是考虑到该公司持续强劲的增长以及其在 AI 开发和实际应用各个领域的参与。Meta 也可能在未来成为一个主要的 AI 赢家，尽管其估值有所上升，但该股票今天仍然合理定价。但 Nvidia 仍然是这个领域的关键参与者——在今天的估值下，它是更好的购买选择。</p>

英伟达

2 倍做多英伟达 ETF - GraniteShares

南方两倍做多英伟达

南方两倍做空英伟达

英伟达期权收益策略 ETF - YieldMax

1 倍做空英伟达 ETF - Direxion

2 倍做多 NVDA ETF - T-Rex

2 倍做空 NVDA ETF - T-Rex

半导体 3 倍做多 - Direxion

<p>这篇文章将英伟达和 Meta Platforms 作为领先的人工智能股票进行比较。英伟达的收入增长显著，预计在 2025 财年增长 114%，达到 1300 亿美元，这得益于对其 GPU 的高需求。相比之下，Meta 专注于人工智能开发，投资 720 亿美元用于资本支出，并构建其 Llama LLM。虽然英伟达在硬件方面处于领先地位，但 Meta 的开源方法和强大的广告收入使其在未来增长中具备良好位置。投资者正在权衡哪只股票提供更好的价值，基于未来收益预期，Meta 看起来更便宜</p>

<p>Artificial intelligence (AI) stocks have proven to be big winners for investors lately -- particularly last year, when some leading players in the space delivered double- and even triple-digit percentage gains. Though these high-growth companies' share prices tumbled earlier this year due to concerns about President Donald Trump's tariff plans, investors have recently returned to this compelling story.</p>
<div class="lb-trans"><p>人工智能（AI）股票最近对投资者来说证明是巨大的赢家——尤其是去年，当一些领先的参与者实现了双位数甚至三位数的百分比增长。尽管由于对唐纳德·特朗普总统关税计划的担忧，这些高增长公司的股价在今年早些时候暴跌，但投资者最近又回到了这个引人注目的故事上。</p>
</div><p>Trump's trade talks and tentative agreements on the frameworks of deals with the U.K. and China have boosted optimism that his tariffs won't result in drastically higher costs for U.S. consumers or major earnings pressure on U.S. companies -- in contrast to the worst-case scenario that many had feared. As a result, investors feel more comfortable investing in companies that rely on a strong economic environment to thrive -- such as AI sector players.</p>
<div class="lb-trans"><p>特朗普的贸易谈判以及与英国和中国达成的初步协议提升了人们的乐观情绪，认为他的关税不会导致美国消费者的成本大幅上升或对美国公司的盈利造成重大压力——这与许多人所担心的最坏情况形成对比。因此，投资者对投资那些依赖强劲经济环境才能蓬勃发展的公司感到更加舒适——例如 AI 行业的参与者。</p>
</div><p>This means that many investors are once again asking themselves which AI players look like the best buys today. <strong>Nvidia</strong>(NVDA 1.28%) and <strong>Meta Platforms</strong>(META 0.73%) are both aiming to reshape the future with their aggressive AI plans. If you could only buy one, which would be the better AI bet now?</p>
<div class="lb-trans"><p>这意味着许多投资者再次在问自己，今天哪些 AI 参与者看起来是最佳购买选择。<strong>Nvidia</strong>（NVDA 1.28%）和 <strong>Meta Platforms</strong>（META 0.73%）都旨在通过其激进的 AI 计划重塑未来。如果你只能购买一只，现在哪个是更好的 AI 投资？</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/image//query-b3A9cmVzaXplJnVybD1odHRwczovL2cuZm9vbGNkbi5jb20vZWRpdG9yaWFsL2ltYWdlcy84MjM2NTAvYW4tYWktcG93ZXJlZC1yb2JvdGljLWZpbmdlci1hbmQtYS1odW1hbi1maW5nZXItdG91Y2guanBnJnc9NzAw" alt="" original-src="https://g.foolcdn.com/image/?url=https%3A%2F%2Fg.foolcdn.com%2Feditorial%2Fimages%2F823650%2Fan-ai-powered-robotic-finger-and-a-human-finger-touch.jpg&amp;op=resize&amp;w=700"/></p>
<p>Image source: Getty Images.</p>
<div class="lb-trans"><p>图片来源：Getty Images。</p>
</div><h2>The case for Nvidia</h2>
<div class="lb-trans"><h2>支持 Nvidia 的理由</h2>
</div><p>Nvidia already has scored many AI victories. The company has built an empire of hardware and services that make it the go-to provider for any organization creating an AI platform or program. But the crown jewels of its portfolio are its graphics processing units (GPUs). It offers the top-performing parallel processors, and thanks to both its ecosystem and manufacturing lead, they're also by far the best-sellers in their class. With demand from cloud infrastructure giants and other tech sector players still outstripping supply, Nvidia has been growing its sales at double- and triple-digit percentage rates, and setting new revenue records quarter after quarter.</p>
<div class="lb-trans"><p>Nvidia 已经取得了许多 AI 胜利。该公司建立了一个硬件和服务的帝国，使其成为任何创建 AI 平台或程序的组织的首选供应商。但其投资组合中的瑰宝是其图形处理单元（GPU）。它提供性能最佳的并行处理器，得益于其生态系统和制造领先地位，它们也是同类产品中销量最好的。由于云基础设施巨头和其他科技行业参与者的需求仍然超过供应，Nvidia 的销售额以双位数和三位数的百分比增长，并且每个季度都创下新的收入记录。</p>
</div><p>In its fiscal 2025, which ended Jan. 26, Nvidia booked a 114% revenue gain to a record level of $130 billion. And the company isn't just growing its top line -- its net income surged by 145% to almost $73 billion as it continued to generate high levels of profitability on those sales.</p>
<div class="lb-trans"><p>在其 2025 财年（截至 1 月 26 日），Nvidia 的收入增长了 114%，达到了创纪录的 1300 亿美元。而且该公司不仅在增长其收入——其净收入激增 145%，接近 730 亿美元，因为它继续在这些销售中产生高水平的盈利能力。</p>
</div><p>Nvidia's clients today rely heavily on its hardware to power their projects, as its GPUs are some of the best chips available for the training of large language models (LLMs), as well as for inferencing -- the technical term for when those trained models are used to process real data to solve actual problems or make predictions. And Nvidia is helping customers with so much more -- from the design of AI agents to the powering of autonomous vehicle systems and drug-discovery platforms.</p>
<div class="lb-trans"><p>今天，Nvidia 的客户在其项目中严重依赖其硬件，因为其 GPU 是训练大型语言模型（LLM）以及推理（即使用这些训练模型处理真实数据以解决实际问题或进行预测的技术术语）的一些最佳芯片。Nvidia 还在帮助客户做更多的事情——从 AI 代理的设计到自主驾驶系统和药物发现平台的支持。</p>
</div><p>Nvidia also is innovating steadily to stay ahead of rivals. It recently shifted to an accelerated schedule that will have it releasing chips based on new and improved architectures every year; previously, it rolled out new architectures about once every two years. So this company is likely to keep playing a major role in the evolution of AI throughout its next chapters.</p>
<div class="lb-trans"><p>Nvidia 还在不断创新，以保持领先于竞争对手。它最近转向加速的时间表，每年发布基于新改进架构的芯片；之前，它大约每两年推出一次新架构。因此，这家公司可能会在 AI 的演变中继续发挥重要作用。</p>
</div><h2>The case for Meta Platforms</h2>
<div class="lb-trans"><h2>支持 Meta Platforms 的理由</h2>
</div><p>You will know Meta best as an owner of social media apps, some of which you probably use every day -- its core &#34;family of apps&#34; includes Facebook, Messenger, WhatsApp, and Instagram. And the sales of advertising space across those platforms have provided billions of dollars in revenue and profits for the company.</p>
<div class="lb-trans"><p>你最熟悉 Meta，可能是作为社交媒体应用的拥有者，其中一些你可能每天都在使用——其核心的 “应用家族” 包括 Facebook、Messenger、WhatsApp 和 Instagram。而在这些平台上销售广告空间为公司提供了数十亿美元的收入和利润。</p>
</div><p>But today, Meta's big focus is on AI. The company has built its own LLM, Llama, and made it open source so that anyone can contribute to its development. The open-source model can result in the faster creation of a better-quality product -- and in this case, it could help Meta emerge as a leader in the field. The company has put its money where its mouth is: It plans as much as $72 billion in capital spending this year to boost its AI presence. And just recently, Meta has been hiring up a storm in its efforts to staff its newly launched Meta Superintelligence Labs. That business unit will work on foundation models like Llama as well as other AI research projects.</p>
<div class="lb-trans"><p>但今天，Meta 的重点是 AI。该公司构建了自己的大型语言模型 Llama，并将其开源，以便任何人都可以为其开发做出贡献。开源模型可以更快地创造出更高质量的产品——在这种情况下，它可能帮助 Meta 在该领域崭露头角。该公司已经付诸行动：今年计划投入多达 720 亿美元的资本支出，以增强其 AI 存在感。最近，Meta 还在大规模招聘，以填补其新成立的 Meta 超级智能实验室的职位。该业务部门将致力于基础模型如 Llama 以及其他 AI 研究项目。</p>
</div><p>In a memo to employees regarding the new AI unit, Meta CEO Mark Zuckerberg highlighted why it's well positioned to lead in AI development: &#34;We have a strong business that supports building out significantly more compute than smaller labs. We have deeper experience building and growing products that reach billions of people,&#34; he said.</p>
<div class="lb-trans"><p>在给员工的关于新 AI 部门的备忘录中，Meta 首席执行官马克·扎克伯格强调了其在 AI 开发中处于领先地位的原因：“我们有一个强大的业务，支持构建比小型实验室显著更多的计算能力。我们在构建和发展能够触及数十亿人的产品方面有更深的经验，” 他说。</p>
</div><p>Those points are true, and they could help Meta reach its goals -- and deliver big wins to investors over time.</p>
<div class="lb-trans"><p>这些观点是正确的，它们可能帮助 Meta 实现其目标——并在长期内为投资者带来丰厚的回报。</p>
</div><h2>Which stock is the better buy?</h2>
<div class="lb-trans"><h2>哪只股票更值得购买？</h2>
</div><p>From a valuation perspective, you might choose Meta, as the stock is cheaper in relation to forward earnings estimates than Nvidia -- a condition that has generally been the case.</p>
<div class="lb-trans"><p>从估值的角度来看，你可能会选择 Meta，因为该股票相对于未来收益预期的估值比 Nvidia 便宜——这一情况通常是如此。</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://media.ycharts.com/charts/bbbca09d8ba34bc24295f6f4cab19363.png" alt="" original-src="https://media.ycharts.com/charts/bbbca09d8ba34bc24295f6f4cab19363.png"/></p>
<p>NVDA PE Ratio (Forward) data by YCharts.</p>
<div class="lb-trans"><p>NVDA 市盈率（前瞻性）数据来自 YCharts。</p>
</div><p>But a closer look shows that while Nvidia's valuation is down since the start of the year, Meta's actually has climbed.</p>
<div class="lb-trans"><p>但仔细观察会发现，尽管 Nvidia 的估值自年初以来有所下降，但 Meta 的估值实际上是上升的。</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://media.ycharts.com/charts/64894fe1469d26141108e03865c9cf09.png" alt="" original-src="https://media.ycharts.com/charts/64894fe1469d26141108e03865c9cf09.png"/></p>
<p>NVDA PE Ratio (Forward) data by YCharts.</p>
<div class="lb-trans"><p>NVDA 市盈率（前瞻性）数据来自 YCharts。</p>
</div><p>With that in mind, Nvidia looks like a more appealing buying opportunity, especially considering the company's ongoing strong growth and its involvement in every area of AI development and application in real-world situations. Meta also could emerge as a major AI winner down the road, and the stock is still reasonably priced today in spite of its gains in valuation. But Nvidia remains the key player in this space -- and at today's valuation, it's the better buy.</p>
<div class="lb-trans"><p>考虑到这一点，Nvidia 看起来是一个更具吸引力的购买机会，特别是考虑到该公司持续强劲的增长以及其在 AI 开发和实际应用各个领域的参与。Meta 也可能在未来成为一个主要的 AI 赢家，尽管其估值有所上升，但该股票今天仍然合理定价。但 Nvidia 仍然是这个领域的关键参与者——在今天的估值下，它是更好的购买选择。</p>
</div>

Better Artificial Intelligence Stock: Nvidia vs. Meta Platforms

- 人工智能股票近期表现强劲，尤其是 Nvidia 和 Meta Platforms。  
- Nvidia 在 AI 硬件和服务领域占据主导地位，2025 财年收入增长 114%。  
- Meta 专注于 AI 开发，计划投入 72 亿美元，未来有潜力成为行业领导者。

哪只人工智能股票更好：英伟达与 Meta 平台