Connect with us

AI Research

This AI Stock Is Quietly Gaining Ground. Should You Buy Now?

Published

on


Taiwan Semiconductor Manufacturing (NYSE: TSM) is not the stock that gets the big headlines when people talk about artificial intelligence (AI). It doesn’t design the chips that are powering the AI infrastructure build-out, like Nvidia (NASDAQ: NVDA) with its graphics processing units (GPUs). But without TSMC’s expertise, the AI boom likely would not be possible.

What TSMC does do is take all those chip designs and manufacture them at scale. This is something other chip manufacturers do, but not nearly as well or as efficiently, making TSMC one of the most important companies in the entire semiconductor supply chain. That role also gives it a unique advantage because it doesn’t have to bet on who wins in chip design. Whichever designer comes out ahead will still need TSMC to make their chips.

That’s why Nvidia’s CEO Jensen Huang has gone out of his way to praise the company. He called TSMC “one of the greatest companies in the history of humanity.” He even added that “anybody who wants to buy TSMC stock is a very smart person.” That’s high praise from the CEO of the largest company in the world.

Image source: Getty Images.

TSMC has become the dominant foundry in the world, by far. Intel has been trying to build a competitive foundry business for years, but it’s still losing money and has struggled with production yields. Samsung has also struggled with yields. This is why Alphabet recently moved its Tensor G5 smartphone chip production over to TSMC. Neither competitor is a competitive threat at this point.

TSMC, meanwhile, is the only foundry that has shown it can reliably shrink node sizes and deliver strong yields at scale. Smaller nodes mean more transistors can fit on a chip, making them faster and more efficient. Advanced chips use small nodes, and these chips are where TSMC shines. Chips built on 7nm or smaller nodes make up nearly three-quarters of its revenue, with 3nm alone now about a quarter. The company is already preparing to move into 2nm, which shows how far ahead it is.

With rivals struggling to keep up, every major AI chip designer has no choice but to rely on TSM. That puts it in an enviable position, because it doesn’t have to chase customers; customers come to it hoping to grab some capacity.

TSMC’s position in the market has also given it strong pricing power. The company has consistently been able to raise prices for its services, and according to reports, it will increase prices next year by 10%. That will be a nice revenue growth driver, but honestly, it could likely have raised its prices even more. However, the company does view itself as a partner with its customers.

This has also helped TSMC boost its gross margins over the years. Last year, its gross margin came in at a solid 56.1%, which was a big jump from the 46.4% it posted in 2019. While there will be margin fluctuations as it builds new fabs (manufacturing facilities) outside of Taiwan and introduces new nodes, this is just a better business overall than it was before the pandemic.

AI chips are going to be the main growth driver for TSMC for years to come. Nvidia has predicted the market for AI infrastructure will rise to between $3 trillion to $4 trillion in the next five years. TSMC management, meanwhile, has forecast that AI chip demand will grow at a more than 40% compounded annual growth rate (CAGR) through 2028. Those are just some mind-blowing numbers.

However, AI chips are not TSMC’s only big opportunity on the horizon. Autonomous driving is another area that could require an enormous amount of computing power. If robotaxis are really going to fill city streets in the next decade, each of them will need multiple advanced chips to operate safely. That’s another market where TSMC is positioned right in the middle to benefit.

Beyond AI and autonomous vehicles, the company is also set to benefit from anything that needs advanced chips. This could be robotics, such as Tesla‘s Optimus, or quantum computing. Wherever technology is headed, though, there likely is going to be a need for powerful chips behind it. And of course, that benefits TSMC.

As a huge AI beneficiary, TSMC has been a quiet winner. It is growing quickly, with revenue soaring 44% year over year last quarter, but it still only trades at a forward price-to-earnings (P/E) ratio of just 21 times 2026 analyst estimates.

Huang is probably right. Anybody buying TSMC today may look back a few years from now and be very glad they did.

Before you buy stock in Taiwan Semiconductor Manufacturing, consider this:

The Motley Fool Stock Advisor analyst team just identified what they believe are the 10 best stocks for investors to buy now… and Taiwan Semiconductor Manufacturing wasn’t one of them. The 10 stocks that made the cut could produce monster returns in the coming years.

Consider when Netflix made this list on December 17, 2004… if you invested $1,000 at the time of our recommendation, you’d have $670,781!* Or when Nvidia made this list on April 15, 2005… if you invested $1,000 at the time of our recommendation, you’d have $1,023,752!*

Now, it’s worth noting Stock Advisor’s total average return is 1,052% — a market-crushing outperformance compared to 185% for the S&P 500. Don’t miss out on the latest top 10 list, available when you join Stock Advisor.

See the 10 stocks »

*Stock Advisor returns as of August 25, 2025

Geoffrey Seiler has positions in Alphabet. The Motley Fool has positions in and recommends Alphabet, Intel, Nvidia, Taiwan Semiconductor Manufacturing, and Tesla. The Motley Fool recommends the following options: short August 2025 $24 calls on Intel and short November 2025 $21 puts on Intel. The Motley Fool has a disclosure policy.

This AI Stock Is Quietly Gaining Ground. Should You Buy Now? was originally published by The Motley Fool



Source link

AI Research

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

Published

on


“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.



Source link

Continue Reading

AI Research

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

Published

on


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.





Source link

Continue Reading

AI Research

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

Published

on


“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.



Source link

Continue Reading

Trending