When it comes to AI stock investment, Nvidia is definitely the first name that comes to mind. An 80% market share in chips, record-breaking financial reports, and skyrocketing stock prices—these are all solid data points. As one of the “Big Seven Tech Giants,” Nvidia has indeed led the market in the past year.
But this does not mean that Nvidia is the only main character on the AI investment stage. Similarly, Meta, which is also part of the “Big Seven” camp, has been increasingly active in the AI field recently—and its valuation is much cheaper.
Meta's Social Empire + AI Ambition
Meta controls top global social platforms like Facebook, Instagram, and WhatsApp. These applications have hundreds of millions of daily active users, and advertisers are eager to place their ads. This advertising business earns Meta billions of dollars each year.
The key point is: Meta is now treating AI as its biggest investment direction this year. CEO Mark Zuckerberg directly stated at the earnings report meeting that AI is the company's “number one priority.” By the end of this year, Meta plans to deploy 600,000 GPUs to drive AI systems – that's no small number.
Llama Model + Open Source Route
Meta has placed a big bet on its self-developed large model Llama. Currently, Llama 3 is still in the training phase, but Meta has chosen an aggressive open-source strategy—making the model available to the entire community.
This move is interesting: open source means more people can use it, provide feedback, and optimize it, which could ultimately become an industry standard. At the same time, it can attract top talent to join Meta. Meta has already launched AI stickers, virtual assistants, and other features in its own applications, all powered by Llama 2. The future goal is to enable every user to access customized AI tools.
The beautiful thing about this move is: users spend more time on AI tools → increased app opening frequency → rise in ad exposure → advertisers are willing to pay more.
Valuation Game: 25x vs 37x
Now let's look at the valuation. Meta is trading at a forward P/E ratio of 25 times, while Nvidia is at 37 times. In other words, for the same amount of money, Meta offers you 33% cheaper growth potential.
Of course, these two companies have different positions in the AI ecosystem. Nvidia sells chips, while Meta buys chips. Ironically, Meta is on Nvidia's client list. Both are benefiting from the AI boom, but in terms of cost-effectiveness, Meta is currently the better deal.
Risks and Opportunities
Meta's advantage lies in having a cash-generating advertising business to support it, allowing for continued investment in AI without fearing losses. Once AI tools become attractive, they will further strengthen its social network's moat.
But it should also be noted that Nvidia has already validated its business model, while Meta's AI monetization path still requires time for validation. However, based on the current data, Meta's execution in the AI arena is not weak, and there is still room for valuation growth.
View Original
This page may contain third-party content, which is provided for information purposes only (not representations/warranties) and should not be considered as an endorsement of its views by Gate, nor as financial or professional advice. See Disclaimer for details.
Meta vs Nvidia: Investment Choices in the AI Era, Who is More Worth Betting On?
When it comes to AI stock investment, Nvidia is definitely the first name that comes to mind. An 80% market share in chips, record-breaking financial reports, and skyrocketing stock prices—these are all solid data points. As one of the “Big Seven Tech Giants,” Nvidia has indeed led the market in the past year.
But this does not mean that Nvidia is the only main character on the AI investment stage. Similarly, Meta, which is also part of the “Big Seven” camp, has been increasingly active in the AI field recently—and its valuation is much cheaper.
Meta's Social Empire + AI Ambition
Meta controls top global social platforms like Facebook, Instagram, and WhatsApp. These applications have hundreds of millions of daily active users, and advertisers are eager to place their ads. This advertising business earns Meta billions of dollars each year.
The key point is: Meta is now treating AI as its biggest investment direction this year. CEO Mark Zuckerberg directly stated at the earnings report meeting that AI is the company's “number one priority.” By the end of this year, Meta plans to deploy 600,000 GPUs to drive AI systems – that's no small number.
Llama Model + Open Source Route
Meta has placed a big bet on its self-developed large model Llama. Currently, Llama 3 is still in the training phase, but Meta has chosen an aggressive open-source strategy—making the model available to the entire community.
This move is interesting: open source means more people can use it, provide feedback, and optimize it, which could ultimately become an industry standard. At the same time, it can attract top talent to join Meta. Meta has already launched AI stickers, virtual assistants, and other features in its own applications, all powered by Llama 2. The future goal is to enable every user to access customized AI tools.
The beautiful thing about this move is: users spend more time on AI tools → increased app opening frequency → rise in ad exposure → advertisers are willing to pay more.
Valuation Game: 25x vs 37x
Now let's look at the valuation. Meta is trading at a forward P/E ratio of 25 times, while Nvidia is at 37 times. In other words, for the same amount of money, Meta offers you 33% cheaper growth potential.
Of course, these two companies have different positions in the AI ecosystem. Nvidia sells chips, while Meta buys chips. Ironically, Meta is on Nvidia's client list. Both are benefiting from the AI boom, but in terms of cost-effectiveness, Meta is currently the better deal.
Risks and Opportunities
Meta's advantage lies in having a cash-generating advertising business to support it, allowing for continued investment in AI without fearing losses. Once AI tools become attractive, they will further strengthen its social network's moat.
But it should also be noted that Nvidia has already validated its business model, while Meta's AI monetization path still requires time for validation. However, based on the current data, Meta's execution in the AI arena is not weak, and there is still room for valuation growth.