Big Tech continues to spend billions on AI. There is no end in sight.

AI For Business


SAN FRANCISCO — The world's largest technology companies have spent billions of dollars on the artificial intelligence revolution. They now plan to spend tens of billions of dollars more to boost demand for computer chips and potentially add new strains to the U.S. power grid.

In their quarterly earnings calls this week, Google, Microsoft, and Meta all emphasized the extent of their investments in AI. Meta on Wednesday raised its spending forecast for this year by up to $10 billion. Google plans to spend about $12 billion or more in capital expenditures each quarter this year, much of it on new data centers, Chief Financial Officer Ruth Porat said Thursday. Microsoft spent $14 billion in its most recent quarter and expects that amount to continue to increase “significantly,” Chief Financial Officer Amy Hood said.

Overall, investments in AI represent some of the largest infusions of capital into a specific technology in Silicon Valley's history, and as interest from other companies, governments and individual consumers grows, the U.S. economy could help further entrench the largest technology companies at the heart of the. We provide AI tools and software to these companies.

The huge investments are also boosting projections of how much energy the United States will need in the coming years. In West Virginia, an old coal-fired power plant that was scheduled for closure will continue to operate, sending energy to a huge and growing data center hub in neighboring Virginia.

“We are committed to making the investments necessary to stay on the cutting edge,” Google's Porat said on a conference call Thursday. Google CEO Sundar Pichai added: “This is a once-in-a-generation opportunity.”

By the time OpenAI released ChatGPT in late 2022, major technology companies were already spending steadily on AI research and development. But the instant success of chatbots suddenly prompted major companies to increase their spending. Venture capitalists are also pouring money into the space, with startups with just a few employees raising hundreds of millions of dollars to build their own AI tools.

The boom has driven up the price of high-end computer chips needed to train and run complex AI algorithms, driving up prices for Big Tech companies and startups alike. There is also a shortage of AI engineers and researchers, some of whom are paid millions of dollars.

Nvidia, the chipmaker whose graphics processing units (GPUs) are essential for training AI, reported revenue of about $24 billion this quarter, up from $8.3 billion in the same quarter two years ago. I look forward to it. The strong increase in revenue has led investors to drive up the company's stock price significantly. The company is now the third most valuable company in the world after Microsoft and Apple.

Some of last year's AI hype is coming back to Earth. Not all AI startups that have raised significant amounts of venture capital funding still exist. Concerns about AI growing faster than humans can keep up appear to have largely subsided. But this revolution is here to stay, and the rush to invest in AI is already starting to help boost revenue for Microsoft and Google.

Microsoft's revenue for the quarter was $61.9 billion, an increase of 17% from the same period last year. Google's revenue for the quarter rose 15% to $80.5 billion.

Interest in AI brought in new customers and helped Google's cloud revenue grow, with the company outperforming analysts' expectations. Shares soared about 12% in aftermarket trading. CFO Hood said the demand for AI services is so high that Microsoft cannot currently meet it.

The challenge for Meta is to build AI while assuring investors that they will ultimately see a return on it. While Microsoft and Google sell access to their AI through their huge cloud software businesses, Meta is taking a different path. The company doesn't have a cloud business and is instead looking for ways to make its AI freely available to other companies while incorporating the technology into its social media products. This month, Meta integrated AI capabilities into social networks such as Instagram, Facebook, and WhatsApp. Investors were skeptical, and the company's stock price fell more than 10% after the company raised its forecast for spending in 2024 to up to $40 billion.

“Building cutting-edge AI will be a larger undertaking than any other experience we've added to the app, and this will likely take several years,” said Mark, CEO of Meta. Zuckerberg said in a conference call on Wednesday. “Historically, investing in building new scale experiences like this in our apps has been a very good long-term investment, both for us and for the investors who stick with us. was.”



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