Meta is heavily investing in Artificial Intelligence and advanced AI models to shape the future of technology.
LLaMA and personal superintelligence projects highlight Meta’s push for next-generation AI experiences.
Massive infrastructure and AI-powered tools are transforming Meta’s business and user interactions globally.
Meta, the parent company of Facebook, Instagram, and WhatsApp, is no longer just a social media company. It is rapidly transforming into one of the biggest players in artificial intelligence (AI). By investing billions of dollars, building huge data centers, creating advanced AI models, and introducing AI-powered products, the tech giant is reshaping how AI will be used in the future.
Meta’s financial performance shows how serious the company is about AI. In the second quarter of 2025, the company reported $47.52 billion in revenue, up 22% from the previous year, and earnings of $7.14 per share. This growth was powered not only by advertising but also by the company’s new AI initiatives.
To support its ambitions, Meta has sharply increased its spending on technology infrastructure. The company expects to spend $64 to $72 billion in 2025, a massive jump from $39 billion in 2024. Most of this money will be used to build advanced data centers and buy powerful servers to train and run its models.
One of the biggest moves in Meta’s journey was the creation of Meta Superintelligence Labs (MSL) in 2025. This new division leads all of Meta’s cutting-edge tech. It focuses on building next-generation models that are smarter, faster, and capable of learning with less human guidance.
Meta has hired some of the best experts from other leading companies like OpenAI, Google DeepMind, and Anthropic. These experts are working on models that aim to reach what Meta calls “superintelligence”, AI that can solve complex problems, assist in everyday tasks, and even improve itself over time.
The company also invested in data labeling and infrastructure through its partnership with Scale AI. This allows access to high-quality data and tools needed to train advanced systems.
The company’s most famous models are from the LLaMA (Large Language Model Meta AI) series. In 2025, the company launched LLaMA 4, which includes models that can understand and generate text, answer questions, and perform tasks across multiple languages.
There are different versions of LLaMA 4:
Scout and Maverick models for public and commercial use
Behemoth, a 2-trillion-parameter model, is used internally for research
These models are designed to compete with popular systems like ChatGPT and Google’s Gemini. The tech leader is also exploring new approaches with projects like V-JEPA 2, which focuses on building tech that can understand the world more like humans rather than just predicting text.
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The company is not only focusing on large-scale AI for businesses. It wants the technology to become part of daily life through what it calls “personal superintelligence.”
This idea is about creating AI that assists people rather than replacing them. For example, Meta’s AI can help manage schedules, summarize conversations, create personalized content, and even act as a smart companion in real time.
To bring this vision to life, the AI giant is integrating AI into wearable devices. Ray-Ban smart glasses, for example, now include artificial intelligence assistants that can recognize objects, describe surroundings, and provide instant information to users. Meta is also working on Orion, a next-generation wearable device that could become a major competitor to smartphones.
AI is also changing how Meta earns revenue. Advertising has always been the company’s main source of income, but AI is making ads smarter and more automated.
Meta’s AI helps businesses create ads automatically, choose the best target audience, and adjust campaigns in real time. These ad tools are already used by millions of advertisers and are expected to generate tens of billions of dollars in revenue in the coming years.
The company’s long-term goal is to fully automate ad campaigns. Businesses would only need to enter their goals and budget, and AI would handle everything else. This could make advertising faster, cheaper, and more effective.
To support its plans, Meta is building some of the world’s largest data centers. Projects like Prometheus and Hyperion will have computing power on a scale similar to small cities. These super data centers are essential for training massive models and running services for billions of users worldwide.
Meta is also exploring new hardware solutions by working with companies that build specialized chips. These chips allow models to run faster and more efficiently than with traditional graphics cards.
While Meta’s transformation is impressive, it is not without challenges. Some of the company’s models, like LLaMA 4, received mixed feedback. Critics have raised concerns about transparency, data usage, and ethical issues related to AI training.
There are also questions about whether Meta can be trusted to handle such powerful technology , given its history with privacy issues. Talent competition is another challenge. Companies like xAI and Google are also hiring top experts, making it hard to keep all the best talent in one place.
Meta’s journey is just beginning, but its ambition is clear. The company wants to become a leader in building AI that is deeply integrated into everyday life. By 2030, Meta aims to double its market value and position itself as a key player in the global ecosystem.
When it comes to investments in infrastructure, AI models, and personal superintelligence succeed, Meta could shape the next era of technology. The company’s focus on combining social platforms, services, and wearable devices could redefine how people interact with digital technology in the coming decade.
Also Read: Meta Q2 Earnings Preview: Strong Ad Performance, AI Ambitions in Focus
Meta is not just building AI to compete with other tech giants. It is working to redefine artificial intelligence by combining massive computing power, innovative AI models, smart devices, and business applications.
The company’s approach aims to make AI more personal, accessible, and useful, while also transforming its core business. Success will depend on balancing innovation with ethics, managing risks, and ensuring that AI can truly enhance human life rather than just automate it.
If Meta achieves these goals, it could become one of the most influential AI companies in the world and set new standards for how artificial intelligence is developed and used.