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As the clean energy economy expands, finding the minerals and metals that power it becomes increasingly critical. The answer might lie with artificial intelligence.

Electric cars, solar panels and hydrogen fuel cells all have one thing in common: the need for precious metals.

Historically, that’s required going through the arduous process of finding the metals and then getting them out of the ground. But new technologies from a slew of companies might be changing the game.

Kobold Metals, VerAI and a startup called Earth AI are in a race to get the metals to market as soon as possible. Earth AI combines AI-powered mineral discovery software with proprietary drilling technology. Its data goes back 50 years.

“We train our AI to learn from failures and successes of decades of hundreds of geologists that explored in the past to make much better predictions for where to look for metals in the future,” said Roman Teslyuk, CEO of Earth AI.

When the system finds what it thinks are metal deposits, Earth AI can drill down to verify it in just a tennis ball-sized hole. Teslyuk said that using this mining process takes half the cost and a fraction of the amount of time that was previously required. Individual annual mine revenues can range from $50 million to $3 billion, according to Mining Data Online.

“We drill down to 2,000 feet and grab a sample of rock that has never seen light, and the metals in that rock, they can build hundreds of millions of electric cars,” Teslyuk said. “They can turn our grid renewable. This rock can get us off hydrocarbons.”

Earth AI doesn’t explore around existing mines, but finds new areas and then sells that information to mining companies.

“The market for these minerals is massive,” said Jamie Lee, managing partner at Tamarack Global, an investor in Earth AI. “The way that they have approached this really caught our attention because there’s a there is a significant moat in their business model and the way that they’ve trained their large language model.”

Other investors include Y Combinator, Cantos Ventures, Scrum Ventures, Alpaca, Sparkwave Capital and Overmatch. The company has raised a total of $38 million.

Earth AI explores on its own, as well as with partners to find deposits faster. The company recently discovered one of the largest verified deposits of palladium in Australia using AI as part of a joint venture with Legacy Minerals.

CNBC Producer Lisa Rizzolo contributed to this piece.

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Chinese tech giant Tencent’s quarterly revenue rises 15%, fueled by AI

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Chinese tech giant Tencent's quarterly revenue rises 15%, fueled by AI

Tencent on Thursday posted 15% year-on-year revenue growth, with AI boosting the Chinese tech giant’s performance in advertising targeting and gaming.

Here’s how Tencent performed in the third quarter of 2025, per earnings released on Thursday: 

  • Revenue: 192.9 billion Chinese yuan ($27.12 billion), surpassing the 189.2 billion Chinese yuan expected analysts, according to data compiled by LSEG. 
  • Operating profit: 63.6 billion yuan, versus 58.01 billion yuan expected by the street.  

Tencent boosted its capital expenditure earlier this year as it ramped up AI and eyed European expansion for its cloud computing services, which would compete against market leaders Amazon Web Services, Google Cloud and Microsoft Azure. It has its own AI foundational model in China called Hunyuan, however it also uses DeepSeek in some products.  

Tencent shares are up 56.7% year-to-date. 

This is a breaking news story. Please refresh for updates.

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CNBC Daily Open: There’s the AI market, and then there’s ‘everything else’

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CNBC Daily Open: There's the AI market, and then there's 'everything else'

Traders work on the floor of the New York Stock Exchange (NYSE) on Nov. 12, 2025 in New York City.

Spencer Platt | Getty Images

The divergence between the performance of the Dow Jones Industrial Average and Nasdaq Composite on Wednesday stateside reinforces the suggestion that there are two markets operating in the U.S.: one of an artificial intelligence and another of “everything else.”

Not only did the Dow rise, it also secured its second consecutive record high and closed above the 48,000 level for the first time.

The index, which comprises 30 blue-chip companies, is typically seen as a marker of the “old economy.” That is to say, it is mostly made up of large, well-established companies driving the U.S. economy, such as banks, healthcare and industrials, before Silicon Valley became a mini sun powering everything.

And it was those stocks — Goldman Sachs, Eli Lilly and Caterpillar — that lifted the Dow on Wednesday.

To be sure, new and flashy names, such as Nvidia and Salesforce, constitute the Dow too. But as the index is price-weighted, meaning that companies with higher share prices influence the Dow more, tech companies don’t exert as much gravity on it.

That’s in contrast to the Nasdaq, which is weighted by companies’ market capitalization, and dominated mainly by technology firms. The tech-heavy index fell as shares like Oracle and Palantir slipped — even Advanced Micro Devices’ 9% pop on its growth prospects couldn’t rescue the Nasdaq from the red.

It’s not necessarily a warning sign about overexuberance in AI.

“There’s nothing wrong, in our view, of kind of trimming back, taking some gains and re-diversifying across other spots in the equity markets,” said Josh Chastant, portfolio manager of public investments at GuideStone Fund.

But what investors would really like is if fork in the road merges into one. That tends to be the safer path to take.

What you need to know today

And finally…

People walk by the New York Stock Exchange (NYSE) on June 18, 2024 in New York City. 

Spencer Platt | Getty Images

Why private equity is stuck with ‘zombie companies’ it can’t sell

Private equity firms are facing a new reality: a growing crop of companies that can neither thrive nor die, lingering in portfolios like the undead.

These so-called “zombie companies” refer to businesses that aren’t growing, barely generate enough cash to service debt and are unable to attract buyers even at a discount. They are usually trapped on a fund’s balance sheet beyond its expected holding period.

Lee Ying Shan

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We’re increasing our Cisco Systems price target after an AI-fueled beat and raise

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We're increasing our Cisco Systems price target after an AI-fueled beat and raise

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