AI Insights
Buy Now and Hold Forever: 2 Artificial Intelligence (AI) Leaders

These profitable giants can be anchors for a long-term portfolio.
The artificial intelligence (AI) market is expected to add trillions to the global economy, and investors looking for rewarding buy-and-hold investments in the field don’t need to take high risks. Investing in companies that are supplying the computing hardware to power AI technology, as well as those that could benefit from growing adoption of AI-powered consumer products, could earn satisfactory returns. Here are two stocks to consider buying for the long term.
Image source: Getty Images.
1. Taiwan Semiconductor Manufacturing
AI doesn’t work without the right chips to train computers to think for themselves. While Nvidia and Broadcom report strong growth, Taiwan Semiconductor Manufacturing (TSM 1.50%) is the one making the chips for these semiconductor companies. TSMC controls over 65% of the chip foundry market, according to Counterpoint, making it the default chip factory for smartphones, computers, and AI.
TSMC manufactures chips that are used in several other markets, including automotive and smart devices. This means that when one market is weak, such as automotive, strength from another (high-performance computing and AI, for example) can pick up the slack.
TSMC’s manufacturing capacity is immense. It can make 17 million 12-inch equivalent silicon wafers every year.
Its massive scale and expertise at making the most advanced chips in the world put it in a lucrative position. Over the last year, it earned $45 billion in net income on $106 billion of revenue. It has delivered double-digit annualized revenue growth over the last few decades, and management expects this growth to continue.
In the second quarter, revenue grew 44% year over year. This growth has pushed the stock up 51% over the past year. Management expects AI chip revenue to grow at an annualized rate in the mid-40s range over the next five years, which is a catalyst for long-term investors.
With Wall Street analysts expecting the company’s earnings per share to grow at an annualized rate of 21% in the coming years, the stock should continue to hit new highs, as it still trades at a reasonable forward price-to-earnings ratio (P/E) of 24.
2. Apple
Apple (AAPL -1.41%) hasn’t made a huge splash in AI yet. Apple Intelligence brought some useful features to its devices, such as AI summaries and image creation, but it’s not as robust as customers were expecting. However, investors shouldn’t count the most valuable consumer brand out just yet. Apple has a large installed base of active devices, and millions of customers trust Apple with their personal data, which could put it in a strong position to benefit from AI over the long term.
Apple previously partnered with OpenAI for ChatGPT integration across its products, but with OpenAI now positioning itself as a competitor after bringing in Apple’s former product designer Jony Ive, Apple is rumored to be exploring a partnership with Alphabet‘s Google’s Gemini to power its Siri voice assistant.
Apple appears to be a sleeping giant in AI. Millions of people are walking around with a device that Apple can turn into a super-intelligent assistant with a single software update. Its large installed base of over 2.35 billion active devices is a major advantage that shouldn’t be underestimated.
But Apple has another important advantage that other tech companies can’t match: consumer trust. Apple has built its brand around protecting user privacy, whereas Alphabet’s Google and Meta Platforms have profited off their users’ data to grow their advertising revenue. A partnership with Google for AI would not comprise Apple’s position on user privacy, since Google would need to provide a custom model that runs on Apple’s private cloud.
For these reasons, Apple is well-positioned to be a leader in AI, making its stock a solid buy-and-hold investment. It says a lot about its growth potential that analysts still expect earnings to grow 10% per year despite the fact that the company is lagging behind in AI. The stock’s forward P/E of 32 is on the high side, but that also reflects investor optimism about its long-term prospects.
John Ballard has positions in Nvidia. The Motley Fool has positions in and recommends Alphabet, Apple, Meta Platforms, Nvidia, and Taiwan Semiconductor Manufacturing. The Motley Fool recommends Broadcom. The Motley Fool has a disclosure policy.
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NFL player props, odds, bets: Week 2, 2025 NFL picks, SportsLine Machine Learning Model AI predictions, SGP

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 252.5 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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