SAN FRANCISCO, July 12 — The artificial intelligence race among America’s biggest technology companies has settled into a clear pattern: three of them are selling AI as a product, and one is giving it away. Meta, the parent company of Facebook and Instagram, is betting its future on open-source AI models, a strategy that sets it apart from rivals Alphabet, Microsoft, and Amazon.
The practical upshot for users is that while competitors charge for access to their most powerful AI tools, Meta’s flagship Llama models have been downloaded more than 100 million times as of January 2025, free of charge. Think of it like the difference between buying a software license and using free, open-source software.
OpenAI, the company behind ChatGPT, charges $20 per month for its premium ChatGPT Plus service, which runs on the proprietary GPT-4 model. Microsoft has invested more than $13 billion in OpenAI since 2019 and has woven GPT-4 into its Azure cloud platform and Office productivity suite. Alphabet’s Google DeepMind, formed in April 2023 from the merger of DeepMind — acquired in 2014 — and Google Brain, develops its own proprietary models like Gemini and Bard.
Amazon’s AWS cloud division, which launched its SageMaker AI service in 2017, invested $4 billion in the AI startup Anthropic in September 2023. Meta’s open-source approach means any developer can download, modify, and build upon its Llama models without paying licensing fees.
The company’s AI workforce includes roughly 5,000 AI researchers and engineers. That is a significant number, but it trails behind Google’s 10,000 and Microsoft’s 8,000 AI specialists. In plain terms, Meta is fielding a smaller dedicated team but aiming for broader adoption through accessibility rather than exclusivity.
Where the money comes from
The financial strategies diverge sharply. Meta generates AI revenue indirectly — its AI tools improve ad targeting and content recommendations on its social platforms, which in turn boosts advertising sales. Microsoft and Alphabet, by contrast, generate direct revenue from selling AI cloud services.
Microsoft’s Azure AI business grew 50% year-over-year in the fourth quarter of 2024. Google Cloud’s AI offerings contributed to the division’s $12 billion in quarterly revenue.
Meta is spending heavily to keep pace. The company’s planned capital expenditure for 2025 stands at $65 billion, exceeding Alphabet’s $50 billion and Microsoft’s $60 billion in planned AI investments. Here’s what that means in concrete terms: Meta is outspending both of its primary rivals on infrastructure — data centers, chips, and networking gear — even though it does not charge directly for its AI models.
The bet is that free, powerful AI will drive more users to Meta’s platforms, where the real money is made through advertising.
Competing philosophies, same race
The strategic divide reflects fundamentally different views of how AI will generate value. Microsoft and Alphabet are building walled gardens where customers pay for access to cutting-edge models and the cloud infrastructure to run them. Amazon follows a similar playbook through AWS.
Meta is building a public commons, releasing its models for anyone to use, modify, and redistribute. Neither approach has yet produced a clear winner.
Meta’s open-source models have seen rapid adoption — the 100 million download milestone for Llama by early 2025 signals strong developer interest. But the company’s reliance on indirect ad revenue means it needs those models to translate into user engagement and ad clicks. Microsoft and Alphabet can point to hard revenue numbers from cloud AI sales, but they face the challenge of convincing businesses that proprietary models are worth the premium over free alternatives.
The next question for the industry is whether Meta’s spending spree will pay off. With $65 billion in planned capex for 2025, the company is making the largest single-year infrastructure bet of any AI player.
If the open-source strategy drives sustained growth in its ad business, the investment will look prescient. If not, Meta will have spent billions on a race it may not win.
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