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What Are the 10 Top Artificial Intelligence (AI) Stocks to Buy Right Now?

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The market is full of strong AI opportunities.

Artificial intelligence (AI) investing remains a primary driver in the market, fueled by massive capital expenditures in data centers by AI hyperscalers. There are numerous AI stocks that investors can consider right now, and this list can serve as a starting point for further research on which AI stocks appear to be great buys.

I’ve got 10 on my short list for top AI stocks to buy now, but there are likely many more beyond this.

Image source: Getty Images.

1. Nvidia

Nvidia (NVDA 0.77%) has been a leader in AI investing since its inception, primarily due to its industry-leading graphics processing units (GPUs), which have been widely utilized to train and run AI models. The company projects monster growth for its GPUs over the next five years, as it expects data center capital expenditures to rise from $600 billion this year to $3 trillion to $4 trillion by 2030.

We’ll see if this projection pans out, but there’s still massive computing demand for AI, and Nvidia is the top provider in this segment.

2. Broadcom

Another company heavily involved in this sector is Broadcom (AVGO 3.05%). Broadcom has two major products being used in AI data centers: its connectivity switches and its custom AI accelerators. The biggest growth story for Broadcom is these custom AI accelerators, which are alternatives to Nvidia’s GPUs that are designed in conjunction with the end user.

This could be a huge market for Broadcom, and makes me bullish on the stock.

3. Taiwan Semiconductor

Neither Nvidia nor Broadcom can produce chips themselves, so they outsource the fabrication work of their designs to Taiwan Semiconductor (TSM 1.44%). TSMC is the world’s largest chip foundry and has established a reputation for continuous innovation and delivering best-in-class product yields.

It’s slated to capitalize on the massive AI arms race spending, regardless of which companies are using computing devices, making it an excellent AI investment on the chip side of AI.

4. ASML

ASML (ASML 1.88%) is a key equipment supplier to chip foundries, such as Taiwan Semiconductor, as it holds a technological monopoly with its primary product: the extreme ultraviolet (EUV) lithography machine. This allows chip manufacturers to lay down microscopic electrical traces. Without ASML, none of the cutting-edge chip technology we know today would be possible.

With the stock down about 30% from its all-time high (at the time of this writing), it appears to be a tremendous opportunity to scoop up while it’s on sale.

5. Alphabet

Moving to the AI hyperscaler side, Alphabet (GOOG -0.35%) (GOOGL -0.31%) looks like a strong investment. Although many assumed that Alphabet had fallen too far behind in the AI arms race to be a worthy competitor, it has emerged as one of the top players. Its generative AI model, Gemini, is one of the best available, and with Alphabet integrating it into its Google Search engine, it’s easily one of the most used.

Alphabet still trades at a discount to its big tech peers despite its recent success, and that could be a prime opportunity to make a profit over the next five years.

6. Meta Platforms

Meta Platforms (META -0.02%), the parent company of Facebook and Instagram, is also heavily investing in AI. It’s spent a ton of money hiring the best AI talent possible, and now it has reached a point where it’s focusing that all-star lineup on various AI goals.

Time will tell whether this is a winning strategy, but Meta is giving itself the best chance to succeed by equipping itself with the brightest minds to lead its various AI initiatives.

7. Amazon

Amazon (AMZN 1.51%) may not be the first company you think of when you hear AI, but its cloud computing business, Amazon Web Services (AWS), is a huge part of the AI build-out trend. Most companies can’t afford to build out a massive data center specifically for AI, so they rent it from a cloud computing provider like AWS.

AWS is a significant contributor to Amazon’s profitability, generating 53% of Amazon’s operating profits in Q2, despite accounting for only 18% of revenue. Cloud computing has a massive tailwind blowing in its favor, and investing in companies with this business is a genius idea.

8. Microsoft

AWS is the largest cloud computing provider, but Microsoft‘s (MSFT 0.61%) Azure is quickly gaining ground. Azure has grown rapidly over the past few years, with its Q4 FY 2025 growth rate (ending June 30) coming in at 39%. That’s far quicker than AWS’s 17% growth rate, making Microsoft an interesting stock to watch in this space.

9. SoundHound AI

SoundHound AI (SOUN 6.87%) is quite a bit smaller than nearly every company on this list, but it’s growing at a rapid pace. SoundHound AI’s technology combines AI with audio recognition, which can be used to automate millions of jobs. In Q2, its revenue grew at a jaw-dropping 217% year-over-year pace, providing an incredibly bullish outlook for the future.

Management believes they can deliver 50% organic growth for the foreseeable future, which would lead to an incredible stock performance.

10. The Trade Desk

Last on this list is The Trade Desk (TTD -0.11%), which has struggled lately. The stock is down over 60% from its all-time high because it’s experiencing issues transitioning users from its old platform to its new AI-first platform, Kokai.

However, The Trade Desk is well-positioned to capitalize on the digital ad market. Once it gets the transition on track, it will become a leading competitor in a rapidly growing space.

Keithen Drury has positions in ASML, Alphabet, Amazon, Broadcom, Meta Platforms, Nvidia, Taiwan Semiconductor Manufacturing, and The Trade Desk. The Motley Fool has positions in and recommends ASML, Alphabet, Amazon, Meta Platforms, Microsoft, Nvidia, Taiwan Semiconductor Manufacturing, and The Trade Desk. The Motley Fool recommends Broadcom and recommends the following options: long January 2026 $395 calls on Microsoft and short January 2026 $405 calls on Microsoft. The Motley Fool has a disclosure policy.



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Databricks at a crossroads: Can its AI strategy prevail without Naveen Rao?

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“Databricks is in a tricky spot with Naveen Rao stepping back. He was not just a figurehead, but deeply involved in shaping their AI vision, particularly after MosaicML,” said Robert Kramer, principal analyst at Moor Insights & Strategy.

“Rao’s absence may slow the pace of new innovation slightly, at least until leadership stabilizes. Internal teams can keep projects on track, but vision-driven leaps, like identifying the ‘next MosaicML’, may be harder without someone like Rao at the helm,” Kramer added.

Rao became a part of Databricks in 2023 after the data lakehouse provider acquired MosaicML, a company Rao co-founded, for $1.3 billion. During his tenure, Rao was instrumental in leading research for many Databricks products, including Dolly, DBRX, and Agent Bricks.



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NFL player props, odds: Week 2, 2025 NFL picks, SportsLine Machine Learning Model AI predictions, SGP

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The Under went 12-4 in Week 1, indicating that not only were there fewer points scored than expected, but there were also fewer yards gained. Backing the Under with NFL prop bets was likely profitable for the opening slate of games, but will that maintain with Week 2 NFL props? Interestingly though, four of the five highest-scoring games last week were the primetime games, so if that holds, then the Overs for this week’s night games could be attractive with Week 2 NFL player props.

There’s a Monday Night Football doubleheader featuring star pass catchers like Nico Collins, Mike Evans and Brock Bowers. The games also feature promising rookies such as Ashton Jeanty, Omarion Hampton and Emeka Egbuka. Prop lines are usually all over the place early in the season as sportsbooks attempt to establish a player’s potential, and you could take advantage of this with the right NFL picks. If you are looking for NFL prop bets or NFL parlays for Week 2, SportsLine has you covered with the top Week 2 player props from its Machine Learning Model AI.

Built using cutting-edge artificial intelligence and machine learning techniques by SportsLine’s Data Science team, AI Predictions and AI Ratings are generated for each player prop. 

Now, with the Week 2 NFL schedule quickly approaching, SportsLine’s Machine Learning Model AI has identified the top NFL props from the biggest Week 2 games.

Week 2 NFL props for Sunday’s main slate

After analyzing the NFL props from Sunday’s main slate and examining the dozens of NFL player prop markets, the SportsLine’s Machine Learning Model AI says Lions receiver Amon-Ra St. Brown goes Over 63.5 receiving yards (-114) versus the Bears at 1 p.m. ET. Detroit will host this contest, which is notable as St. Brown has averaged 114 receiving yards over his last six home games. He had at least 70 receiving yards in both matchups versus the Bears a year ago.

Chicago allowed 12 receivers to go Over 63.5 receiving yards last season as the Bears’ pass defense is adept at keeping opponents out of the endzone but not as good at preventing yardage. Chicago allowed the highest yards per attempt and second-highest yards per completion in 2024. While St. Brown had just 45 yards in the opener, the last time he was held under 50 receiving yards, he then had 193 yards the following week. The SportsLine Machine Learning Model projects 82.5 yards for St. Brown in a 4.5-star pick. See more Week 2 NFL props here.

Week 2 NFL props for Vikings vs. Falcons on Sunday Night Football

After analyzing Falcons vs. Vikings props and examining the dozens of NFL player prop markets, the SportsLine’s Machine Learning Model AI says Falcons running back Bijan Robinson goes Over 65.5 rushing yards (-114). Robinson ran for 92 yards and a touchdown in Week 14 of last season versus Minnesota, despite the Vikings having the league’s No. 2 run defense a year ago. The SportsLine Machine Learning Model projects Robinson to have 81.8 yards on average in a 4.5-star prop pick. See more NFL props for Vikings vs. Falcons here

You can make NFL prop bets on Robinson, Justin Jefferson and others with the Underdog Fantasy promo code CBSSPORTS2. Pick at Underdog Fantasy and get $50 in bonus funds after making a $5 wager:

Week 2 NFL props for Buccaneers vs. Texans on Monday Night Football

After analyzing Texans vs. Buccaneers props and examining the dozens of NFL player prop markets, the SportsLine’s Machine Learning Model AI says Bucs quarterback Baker Mayfield goes Under 235.5 passing yards (-114). While Houston has questions regarding its offense, there’s little worry about the team’s pass defense. In 2024, Houston had the second-most interceptions, the fourth-most sacks and allowed the fourth-worst passer rating. Since the start of last year, and including the playoffs, the Texans have held opposing QBs under 235.5 yards in 13 of 20 games. The SportsLine Machine Learning Model forecasts Mayfield to finish with just 200.1 passing yards, making the Under a 4-star NFL prop. See more NFL props for Buccaneers vs. Texans here

You can also use the latest FanDuel promo code to get $300 in bonus bets instantly:

Week 2 NFL props for Chargers vs. Raiders on Monday Night Football

After analyzing Raiders vs. Chargers props and examining the dozens of NFL player prop markets, the SportsLine’s Machine Learning Model AI says Chargers quarterback Justin Herbert goes Under 254.5 passing yards (-114). The Raiders’ defense was underrated in preventing big passing plays a year ago as it ranked third in the NFL in average depth of target allowed. It forced QBs to dink and dunk their way down the field, which doesn’t lead to big passing yardages, and L.A. generally prefers to not throw the ball anyway. Just four teams attempted fewer passes last season than the Chargers, and with L.A. running for 156.5 yards versus Vegas last season, Herbert shouldn’t be overly active on Monday night. He’s forecasted to have 221.1 passing yards in a 4.5-star NFL prop bet. See more NFL props for Chargers vs. Raiders here

How to make Week 2 NFL prop picks

SportsLine’s Machine Learning Model has identified another star who sails past his total and has dozens of NFL props rated 4 stars or better. You need to see the Machine Learning Model analysis before making any Week 2 NFL prop bets.

Which NFL prop picks should you target for Week 2, and which quarterback has multiple 5-star rated picks? Visit SportsLine to see the latest NFL player props from SportsLine’s Machine Learning Model that uses cutting-edge artificial intelligence to make its projections.





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In the News: Thomas Feeney on AI in Higher Education – Newsroom

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“I had an interesting experience over the summer teaching an AI ethics class. You know plagiarism would be an interesting question in an AI ethics class … They had permission to use AI for the first written assignment. And it was clear that many of them had just fed in the prompt, gotten back the paper and uploaded that. But rather than initiate a sort of disciplinary oppositional setting, I tried to show them, look, what you what you’ve produced is kind of generic … and this gave the students a chance to recognize that they weren’t there in their own work. This opened the floodgates,” Feeney said.

“I think the focus should be less on learning how to work with the interfaces we have right now and more on just graduate with a story about how you did something with AI that you couldn’t have done without it. And then, crucially, how you shared it with someone else,” he continued.



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