TIVP056: Meta (META): Is Meta Undervalued Again? w/ Daniel Mahncke & Shawn O’Malley
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《内在价值》播客在其第56期节目中,专门剖析了Meta雄心勃勃的1000亿美元AI投资,尽管其近期股价表现反映出市场普遍的怀疑情绪。主持人Sean O'Malley和Daniel Monka挑战了Meta仅仅押注于一个表现不佳的LLM(Llama)或一个高效广告引擎的普遍说法,暗示其背后存在一个更大的生态系统。尽管Meta的股价自2022年低点以来已飙升600%,但它在“七巨头”中仍然是估值最低的,远期市盈率甚至低于标普500指数,这使其成为一个引人入胜的投资案例。
Meta的业务分为利润丰厚的“应用家族”(Facebook、Instagram、WhatsApp)和亏损严重的“现实实验室”(Reality Labs)。“应用家族”是一个“印钞机”,拥有超过35亿日活跃用户,营收每年以超过20%的速度增长,这与Snapchat等竞争对手形成了鲜明对比。这项核心业务已经从AI中获得了巨大的改进,尤其是在其广告定位算法方面。
现实实验室是Meta对标谷歌“其他业务”(Other Bets)的部分,在20个季度中累计亏损已超过700亿美元。该部门包括虚拟、增强和混合现实产品,主要是Quest VR头显和与Ray-Ban合作开发的AR眼镜。虽然早期的VR/AR模型笨重,但主持人承认技术取得了显著进步,Meta设想AR眼镜最终将取代智能手机。然而,他们对此仍持怀疑态度,指出Apple Vision Pro的生产已暂停,并且此类产品市场普遍小众。
AR眼镜的竞争格局异常激烈。Meta利用其应用生态系统实现无缝集成(WhatsApp通知、Instagram帖子)。然而,苹果拥有更强的品牌和硬件体验,而谷歌则通过其Android XR、Play Store以及地图和Gemini等集成服务提供了更强大的生态系统。主持人认为,Meta缺乏像苹果或谷歌那样的开放应用商店限制了其潜力,使其不太可能主导下一场硬件革命,尽管其投入巨大。财务预测表明,要使现实实验室成为一项值得的投资,它需要产生类似iPhone为苹果带来的回报,这意味着到2035年,其有效投资基础需要达到约3500亿美元,才能实现中高两位数的内部收益率,主持人认为,考虑到巨大的假设,这“不太看好”。
除了现实实验室,Meta的1000亿美元AI投资也引发了疑问。虽然Meta的LLM Llama被认为是前五名的模型,但它尚未达到竞争对手那样的突出地位。然而,播客强调AI对Meta核心广告业务的深远影响。AI驱动的广告工具年化收入已超过600亿美元。一个个人经历证实了这一点:Instagram针对复古手表的广告定位非常有效,主持人发现自己特意打开应用去浏览广告,这表明AI能够将广告变成用户体验的无缝组成部分。这种改进的定位使Meta能够克服苹果iOS隐私政策变化等挑战,保持广告展示量和定价的强劲增长。
WhatsApp的变现是另一个关键增长驱动力。自Meta在2014年以200亿美元收购WhatsApp以来,其月活跃用户已达30亿,实现了巨大增长。目前的变现主要来自WhatsApp商业版和消息API,每年产生约150亿美元。Meta计划通过“动态”部分(类似于Instagram快拍)中的广告以及“点击聊天”广告格式来扩大这一收入。长期的愿景是将WhatsApp转变为一个“全球客户互动层”,一个类似客户关系管理(CRM)的平台,有望产生数百亿美元的经常性收入,尤其是在AI驱动的聊天机器人的帮助下。然而,主持人保持谨慎,指出全球用户行为存在差异,并质疑这是否会是一项“革命性”的变现努力,还是仅仅是增量的。
核心广告业务持续表现出色,上季度增长26%,并有可能超越谷歌搜索成为最大的广告业务。Instagram的Reels(一个价值500亿美元的业务)已成功抵御了TikTok的威胁,提高了用户参与度和广告库存。AI通过降低内容创作的门槛进一步增强了这一点,为推荐系统提供了更多数据,并提高了变现效率。
尽管马克·扎克伯格作为资本配置者历来的卓越能力,但他固执地向现实实验室投入数十亿美元并不断增长AI资本支出,这令人担忧。虽然资本支出周期是正常的,但当前的投资规模是前所未有的,导致投资资本回报率(ROIC)暂时下降,因为投资与回报之间存在滞后性。
在他们的估值中,主持人使用了一个简单的模型。一个假设低十位数的营收增长和当前利润率的基本情景表明,每股公允价值为700美元,提供低两位数的回报。一个假设更高增长和改善利润率(例如,来自WhatsApp变现)的乐观情景可能会将价值推高至每股1000美元。
最终,Daniel更为乐观,他相信Meta凭借其卓越的广告业务能够带来稳健的回报,而昂贵的看涨期权则可能带来显著的上涨空间。Sean则更为谨慎,他更倾向于等待更宽的安全边际,也许是在广告市场回调期间,再考虑大笔持仓,尤其是在将其与Alphabet等现有高度确信的持仓进行比较时。两人都认为,Meta的旅程是复杂的,其强大的核心业务承受着高风险、高回报投资的负担,这使其在他们的投资组合中成为一个微妙的投资主张。
The "Intrinsic Value Podcast" dedicates its 56th episode to dissecting Meta's ambitious $100 billion AI investment, despite widespread market skepticism reflected in its recent stock performance. The hosts, Sean O'Malley and Daniel Monka, challenge the common narrative that Meta is solely betting on a lagging LLM (Llama) or an efficient ad engine, suggesting a much larger ecosystem in play. While Meta's stock has surged 600% since its 2022 lows, it remains the cheapest among the Magnificent Seven with a forward PE lower than the S&P 500, making it an intriguing investment case.
Meta's business is segmented into its highly profitable "Family of Apps" (Facebook, Instagram, WhatsApp) and the significantly loss-making "Reality Labs." The Family of Apps is a "money printing machine" boasting over 3.5 billion daily active users and growing its top line at over 20% annually, a stark contrast to competitors like Snapchat. This core business has already seen massive improvements from AI, particularly in its ad targeting algorithms.
Reality Labs, Meta's equivalent of Google's "Other Bets," has accumulated over $70 billion in losses in 20 quarters. This segment encompasses virtual, augmented, and mixed reality products, primarily the Quest VR headsets and AR glasses developed in partnership with Ray-Ban. While early VR/AR models were clumsy, the hosts acknowledge the significant technological progress, with Meta envisioning AR glasses eventually replacing smartphones. However, they remain skeptical, pointing to Apple Vision Pro's halted production and the general niche market for such products.
The competitive landscape for AR glasses is fierce. Meta leverages its app ecosystem for seamless integration (WhatsApp notifications, Instagram posts). Yet, Apple boasts a stronger brand and hardware experience, while Google offers a more robust ecosystem with its Android XR, Play Store, and integrated services like Maps and Gemini. The hosts argue that Meta's lack of an open app store like Apple or Google limits its potential, making it less likely to dominate the next hardware revolution despite its substantial investments. Financial projections suggest that for Reality Labs to be a worthwhile investment, it would need to generate Apple-like returns from the iPhone, requiring an effective investment base of roughly $350 billion by 2035 for a mid-to-high teens internal rate of return, which the hosts deem "not very bullish" given the huge assumptions.
Beyond Reality Labs, Meta's $100 billion AI investment raises questions. While Llama, Meta's LLM, is considered a top-five model, it hasn't achieved the same prominence as competitors. However, the podcast highlights AI's profound impact on Meta's core ad business. AI-powered advertising tools already account for an annual run rate exceeding $60 billion. A personal anecdote illustrates this: Instagram's ad targeting for vintage watches was so effective that the host found himself opening the app specifically to browse ads, demonstrating AI's ability to turn ads into a seamless part of the user experience. This improved targeting has allowed Meta to overcome challenges like Apple's iOS privacy changes, maintaining strong growth in ad impressions and pricing.
Monetizing WhatsApp is another key growth driver. With 3 billion monthly active users, WhatsApp has grown immensely since Meta acquired it for $20 billion in 2014. Current monetization primarily comes from WhatsApp Business and messaging APIs, generating about $15 billion annually. Meta plans to expand this through ads in the "Status" section (similar to Instagram stories) and the "click-to-message" ad format. The long-term vision is to transform WhatsApp into a "global customer interaction layer," a CRM-like platform for businesses, potentially generating tens of billions in recurring revenue, particularly with AI-powered chatbots. However, the hosts are cautious, noting differing user behaviors globally and questioning if it will be a "revolutionary" monetization effort or merely incremental.
The core ads business continues to impress, growing 26% in the last quarter and potentially surpassing Google Search as the largest advertising business. Instagram's Reels, a $50 billion business, has successfully fended off the TikTok threat, boosting user engagement and ad inventory. AI further enhances this by lowering the bar for content creation, leading to more data for recommendation systems and improved monetization efficiency.
Despite Mark Zuckerberg's historical prowess as a capital allocator, his stubbornness in pouring billions into Reality Labs and escalating AI CapEx is a concern. While CapEx cycles are normal, the current scale of investment is unprecedented, leading to a temporary dip in Return on Invested Capital (ROIC) due to the lag between investment and returns.
In their valuation, the hosts use a simple model. A base case assuming low teens top-line growth and current margins suggests a fair value of $700 per share, offering a low double-digit return. An optimistic scenario with higher growth and improved margins (e.g., from WhatsApp monetization) could push the value to $1000 per share.
Ultimately, Daniel is more bullish, believing Meta offers solid returns driven by its fantastic ad business, with expensive call options that could lead to significant upside. Sean, however, remains more skeptical, preferring to wait for a wider margin of safety, perhaps during an ad market pullback, before considering a substantial position, especially when comparing it to existing, high-conviction holdings like Alphabet. Both agree that Meta's journey is complex, with a strong core business burdened by high-risk, high-reward investments, making it a nuanced proposition in their portfolio.
摘要
Daniel Mahncke and Shawn O’Malley take a deep dive into Meta — the world’s most powerful attention engine, spanning Facebook, Instagram, WhatsApp, and Messenger, and still driven primarily by advertising. They break down how Meta’s “Family of Apps” keeps compounding through better AI-driven content discovery and ad targeting, while new surfaces like Reels, Threads, and WhatsApp monetization expand inventory and improve the long-term revenue mix.
IN THIS EPISODE, YOU’LL LEARN:
00:00:00 - Intro
00:04:02 - How much money the Metaverse failure cost
00:06:19 - How AR glasses could replace smartphones
00:23:48 - Why Reality Labs will likely yield average returns at best
00:29:50 - What AI efforts Meta is implementing
00:32:10 - Why Meta’s AI projects are not as bad as investors think
00:35:37 - How the ad engine works
00:41:31 - How WhatsApp and AI content could benefit Meta
00:57:06 - Whether Shawn and Daniel add Meta to the portfolio
*Disclaimer: Slight timestamp discrepancies may occur due to podcast platform differences.
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