Chegg on Monday filed suit in federal district court against Google, claiming that artificial intelligence summaries of search results have hurt the online education company’s traffic and revenue.

The legal move come nearly two years after former CEO Dan Rosensweig said students engaging with OpenAI’s ChatGPT assistant were cutting into Chegg’s new customer growth.

Chegg is worth less than $200 million, and in after-hours trading Monday, the stock was trading just above $1 per share. Chegg has engaged Goldman Sachs and will look at strategic options, including getting acquired and going private, President and CEO Nathan Schultz told analysts on a Monday earnings call.

Chegg reported a $6.1 million net loss on $143.5 million in fourth-quarter revenue, a 24% decline year over year, according to a statement. Analysts polled by LSEG had expected $142.1 million in revenue. Management called for first-quarter revenue between $114 million and $116 million, but analysts had been targeting $138.1 million. The stock was down 23% in extended trading.

Google forces companies like Chegg to “supply our proprietary content in order to be included in Google’s search function,” said Schultz, adding that the search company uses its monopoly power, “reaping the financial benefits of Chegg’s content without having to spend a dime.”

Despite the suit, Chegg has its own AI strategy. It has drawn on Meta’s open-source Llama, as well as models from privately held Anthropic and Mistral, Schultz said. Chegg has also partnered with OpenAI, which the education company views as a competitor, alongside Google. The company reported that 3.6 million students had subscriptions in the fourth quarter, down 21%. Subscriptions include access to AI-powered learning assistance. Chegg also rents and sells textbooks.

AI Overviews, as Google’s artificial intelligence summaries are called, are available in the company’s search engine in over 100 countries, with more than 1 billion users, the company said in October. They show up above links to other pages in search results.

A Google spokesperson told CNBC that the company will defend itself against Chegg’s suit.

“Every day, Google sends billions of clicks to sites across the web, and AI Overviews send traffic to a greater diversity of sites,” the Google spokesperson said.

Chegg claimed that Google drew on Chegg’s collection of 135 million questions and answers on a variety of subjects in its model training data sets.

After training its models, Google can generate content that competes with information that publishers have on offer in search results, Chegg argued in its complaint. The online learning company included a screenshot of a Google AI Overview that borrows details from Chegg’s website but does not attribute the information. However, the relevant Chegg page does show up lower down in search results.

Chegg cited a federal judge’s ruling last August that Google holds a monopoly in the search market. The decision came after the Department of Justice in 2020 filed its landmark case, alleging that Google controlled the general search market by creating strong barriers to entry and a feedback loop that sustained its dominance.

WATCH: Google unrolls AI Overviews in six more countries

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.