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Mark Zuckerberg at Trump inauguration
(Shawn Thew/Getty Images)

How Meta plans to recoup its billions in AI investment

2025 will be all about hitting a billion Meta AI users, then monetizing them.

The year ahead for Meta is all about AI. But the year after that will be all about monetizing it.

The company is currently training Llama 4, the next iteration of its large language model, which it expects to release this year. Even though Llama is a free, open-source product, it sits right at the center of Meta’s plans for growth.

Unlike its competitors in the AI horserace, like OpenAI and Anthropic, Meta can pour tens of billions of profits from its other businesses into this effort (and the infrastructure needed to run it), and has lots of ways that it can turn the free product into a revenue firehose.

On yesterday’s Q4 earnings call, Meta CEO Mark Zuckerberg said:

“We have a really exciting roadmap for this year with a unique vision focused on personalization. We believe that people dont all want to use the same AI — people want their AI to be personalized to their context, their interests, their personality, their culture, and how they think about the world.”

Anytime you hear the word “personalization” in a Big Tech product, that means it will be used for ads. None of the big AI players have integrated ads into their chatbot products, but if anyone is prepared for this, it’s Meta.

Meta is an advertising company, after all. For all of FY 2024, the company pulled in over $160 billion in ad revenue, growing 21% year over year.

Zuckerberg regularly says that Meta’s pattern is to grow a product to 1 billion users, then monetize:

“We try to scale them to reach usually a billion people or more. And it’s at that point once they’re at scale that we really start focusing on monetization. So sometimes we’ll experiment with monetization before — we’re running some experiments with Threads now for example.”

But Zuckerberg cautioned that the “actual business opportunity for Meta AI and AI Studio and business agents and people interacting with these AIs” won’t show up until after 2025.

And if Meta’s plans for monetizing AI look anything like its current ad business, you might not even have to use Meta’s chatbot to help fuel the new business.

The Meta tracking “pixel” has turned billions of internet users into targets for Meta advertising, even if they aren’t users of Meta platforms. The Meta pixel has become such a built-in default on billions of websites that it has caused sensitive data collection from suicide hotlines, hospitals, tax-filing companies, and federal student loan providers. Dozens of lawsuits have been filed due to the ad technology’s misuse.

Nobody really knows exactly how the “personalization” of AI services will be monetized, but after spending hundreds of billions to build all this fancy, city-sized AI infrastructure, you better believe they will want a return on their investment.

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Jon Keegan

EPA: xAI’s Colossus data center illegally used gas turbines without permits

The Environmental Protection Agency has ruled that xAI violated the law when it used dozens of portable gas generators for its Colossus 1 data center without air quality permits.

When xAI set out to build Colossus 1 in Memphis, Tennessee, CEO Elon Musk wanted to move with unprecedented speed, avoiding all of the red tape that could slow such a big project down.

To power the 1-gigawatt data center, Musk took advantage of a local loophole that allowed portable gas generators to be used without any permits, as long as they did not spend more than 364 days in the same spot. That allowed xAI to bring in dozens of truck-sized gas generators to quickly supply the massive amount of power the data center needed to train xAI’s Grok model.

The new EPA rule says the use of such portable generators falls under federal regulation, and the company did need air quality permits to operate the turbines. xAI is also using dozens of such generators to power its Colossus 2 data center just over the border in Alabama.

To power the 1-gigawatt data center, Musk took advantage of a local loophole that allowed portable gas generators to be used without any permits, as long as they did not spend more than 364 days in the same spot. That allowed xAI to bring in dozens of truck-sized gas generators to quickly supply the massive amount of power the data center needed to train xAI’s Grok model.

The new EPA rule says the use of such portable generators falls under federal regulation, and the company did need air quality permits to operate the turbines. xAI is also using dozens of such generators to power its Colossus 2 data center just over the border in Alabama.

tech
Rani Molla

Trump to push Big Tech to fund new power plants as AI drives up electricity costs

President Donald Trump is expected to announce a plan Friday morning that would require Big Tech companies to bid on 15-year contracts for new electricity generation capacity. The move would effectively force companies to help fund new power plants in the PJM region as soaring demand from AI data centers pushes up electricity costs across the US power grid.

Earlier this week, Trump called on tech giants to “pay their own way,” arguing that households and small businesses should not bear the cost of power infrastructure needed to support energy-hungry data centers.

Microsoft quickly responded, saying it would “pay utility rates that are high enough to cover our electricity costs,” along with committing to other changes aimed at easing pressure on the grid. Other major tech companies are expected to follow suit, though Wedbush Securities analyst Dan Ives warned the added costs could slow the pace of data center build-outs.

As we’ve noted, forcing tech companies to shoulder higher electricity costs is likely to hit some firms harder than others. Companies like Microsoft, Google, and Amazon can pass at least some of those costs on to customers by selling data center capacity downstream. Meta, in contrast, does not have a cloud business, meaning its AI ambitions lack a direct revenue stream to offset rising power costs.

So far tech stocks don’t appear to be affected much in premarket trading. However utility companies most levered to the AI boom certainly are, with Vistra, Constellation Energy, and Talen Energy deep in the red ahead of the open as analysts at Jefferies warn that these firms face risks from this plan.

Earlier this week, Trump called on tech giants to “pay their own way,” arguing that households and small businesses should not bear the cost of power infrastructure needed to support energy-hungry data centers.

Microsoft quickly responded, saying it would “pay utility rates that are high enough to cover our electricity costs,” along with committing to other changes aimed at easing pressure on the grid. Other major tech companies are expected to follow suit, though Wedbush Securities analyst Dan Ives warned the added costs could slow the pace of data center build-outs.

As we’ve noted, forcing tech companies to shoulder higher electricity costs is likely to hit some firms harder than others. Companies like Microsoft, Google, and Amazon can pass at least some of those costs on to customers by selling data center capacity downstream. Meta, in contrast, does not have a cloud business, meaning its AI ambitions lack a direct revenue stream to offset rising power costs.

So far tech stocks don’t appear to be affected much in premarket trading. However utility companies most levered to the AI boom certainly are, with Vistra, Constellation Energy, and Talen Energy deep in the red ahead of the open as analysts at Jefferies warn that these firms face risks from this plan.

tech
Jon Keegan

OpenAI working to build a US supply chain for its hardware plans, including robots

When OpenAI purchased Jony Ive’s I/O, it entered the hardware business. The company is currently ramping up to produce a mysterious AI-powered gadget.

But OpenAI plans on making more than just consumer gadgets — it also plans on making data center hardware, and even robots.

Bloomberg reports that OpenAI has been on the hunt for US-based suppliers for silicon and motors for robotics, as well as cooling systems for data centers.

AI companies are looking toward robots as a logical next step for finding applications for their models.

OpenAI told Bloomberg that US companies building the AI brains of robots might have an edge against the Chinese hardware manufacturers that are currently making some impressive humanoid robots.

Bloomberg reports that OpenAI has been on the hunt for US-based suppliers for silicon and motors for robotics, as well as cooling systems for data centers.

AI companies are looking toward robots as a logical next step for finding applications for their models.

OpenAI told Bloomberg that US companies building the AI brains of robots might have an edge against the Chinese hardware manufacturers that are currently making some impressive humanoid robots.

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