I’ve always had reservations about investing in Meta, largely for two reasons:
Leadership strategy – Mark Zuckerberg often appears to lack a clear roadmap for executing Meta’s growth ambitions. The metaverse initiative, for instance, consumed billions of dollars without delivering concrete results. A similar pattern seems to be emerging with AI, where he has assembled a superstar team and poured in capital, yet the overarching strategy remains vague.
Business moat – Social media doesn’t strike me as a sector with a strong moat. It competes not only with other apps like TikTok but also with alternative entertainment platforms such as video games, Netflix, and movies. Unlike essential products or services, social media is not a “must-have.”
That said, I recently decided to take a deeper dive into Meta rather than dismiss it outright. Please note: this is not a buy or sell recommendation, do your own due diligence before making investment decisions.
Meta’s Spending on the Metaverse
Meta’s Reality Labs division, tasked with leading the metaverse push, remains deeply unprofitable. In 2024, it lost approximately $17 billion, and in 2025 continues to post quarterly losses of $4–5 billion. Horizon Worlds, its flagship metaverse social space, struggles with technical issues and weak user engagement. By late 2025, Meta announced a 30% budget cut for metaverse projects.
However, the metaverse strategy is less about virtual worlds and more about owning the operating system layer. Zuckerberg’s vision is to control hardware through devices like the Quest VR headset and Ray-Ban Meta smart glasses, so Meta isn’t beholden to Apple’s privacy rules. Apple’s App Tracking Transparency (ATT), introduced in 2021, severely impacted Meta’s ad targeting, costing the company an estimated $10 billion in 2022 alone. By building its own hardware ecosystem, Meta hopes to escape this dependency.
Still, consumer hardware is notoriously difficult, with entrenched competitors like Apple, Google, and Samsung. The Quest headset hasn’t proven transformative, but the Ray-Ban Meta glasses show promise. Whether they can evolve into a mainstream wearable platform remains to be seen.
Meta’s AI Strategy
Meta has aggressively invested in AI, offering multimillion-dollar contracts to attract top talent and raising AI capex to $66–72 billion in mid-2025, including a $14.3 billion acquisition of Scale AI. Its flagship product is the Llama model, released as open source. Yet despite the heavy spending, many developers gravitate toward Chinese models like DeepSeek and Qwen.
On closer inspection, Meta’s AI play is more nuanced than it first appears:
Enterprise adoption – Llama is gaining traction among enterprises. Goldman Sachs uses it for customer service and document review, while AT&T leverages it for customer support and operational efficiency. Enterprise adoption opens monetization avenues, including revenue-sharing with cloud partners like AWS and Microsoft.
Advertising optimization – The most critical application of AI at Meta is enhancing ad delivery. By late 2025, Meta’s AI-powered ad tools reached an annual run rate exceeding $60 billion, underscoring the effectiveness of AI in strengthening its core business.
Future models – Meta is developing two flagship LLMs: Avocado, a high-end reasoning model focused on complex coding and logic, and Mango, a multimodal model for image and video generation. These may represent a shift toward closed-source monetization via API sales.
Rethinking Meta’s Moat
My earlier view that Meta has a “weak” moat now feels incomplete. Meta’s family of interconnected apps, Facebook, Instagram, WhatsApp, and Threads creates a powerful network effect, with over 3 billion daily active users. Even if engagement shifts between platforms, the ecosystem keeps users within Meta’s orbit.
That said, competition remains fierce. TikTok has captured younger audiences, reshaping content consumption, while YouTube dominates long-form video. Meta cannot rely solely on acquisitions to neutralize rivals, as it did with Instagram and WhatsApp.
Yet for small businesses, Meta is often the most efficient way to reach customers. That reliance is a formidable moat. Consumers can skip a Netflix show, but businesses cannot easily skip the platform where their customers spend time.
Meta’s financials
From the table summary below, Meta is a business that generates enormous free cash flows and is growing its revenue consistently over the past few years. This enables it to fund the AI initiatives without taking on too much leverage.
Conclusion
With a much clearer understanding of Meta’s business, I now have a more balanced viewpoint on the stock. Meta’s strategy may appear scattered, but beneath the surface lies a coherent attempt to secure independence from Apple, monetize AI through advertising, and leverage its massive network effect. The risks are real, hardware competition, developer preferences, and shifting consumer trends. But the scale of Meta’s ecosystem and its ability to adapt suggest it may be stronger than skeptics assume.
However, I still have lingering concerns that Meta might suffer another Metaverse-scale misfire on its AI initiatives and will probably just keep a close watch on the stock price until a more attractive entry price emerges.