Connect with us

AI Insights

2 Artificial Intelligence (AI) ETFs to Confidently Buy Heading Into 2026

Published

on


A new year is around the corner, and artificial intelligence is likely to remain a driving force of stock market returns.

With a little over three months remaining in 2025, now might be a good time to think about making some portfolio adjustments ahead of the new year. Artificial intelligence (AI) is currently a key driver of stock market returns, and we could still be in the early innings of this tech revolution, so investors who lack exposure might want to make some moves.

Purchasing just one or two exchange-traded funds (ETFs) can be the equivalent of buying an entire portfolio of AI stocks. Here’s why the Roundhill Generative AI and Technology ETF (CHAT 1.91%) and the Vanguard Mega Cap Growth ETF (MGK 0.61%) are two great potential candidates.

Image source: Getty Images.

The case for the Roundhill Generative AI and Technology ETF

The Roundhill ETF invests in companies developing the platforms, infrastructure, and software powering the AI revolution. It holds just 38 stocks, and the fund is actively managed, which means Roundhill’s team of experts regularly adjusts the portfolio based on what they think will generate the best returns.

The top five holdings in the ETF are some of the most dominant companies in the AI industry. They have a combined portfolio weighting of 25.6%, so they heavily influence the overall performance of the ETF:

Stock

Roundhill ETF Portfolio Weighting

1. Nvidia

8.03%

2. Alphabet

5.60%

3. Meta Platforms

4.19%

4. Microsoft

4.08%

5. Oracle

3.74%

Data source: Roundhill Investments. Portfolio weightings are accurate as of Sept. 4, 2025, and are subject to change.

Nvidia supplies the most powerful data center chips for AI development. Its Blackwell Ultra architecture for graphics processing units (GPUs) is the gold standard for the latest generation of AI reasoning models, which spend time “thinking” before rendering outputs, and consume significantly more computing capacity than traditional one-shot models as a result.

Alphabet and Microsoft developed their own AI virtual assistants, and they are also two of the world’s largest providers of cloud computing services. They operate data centers filled with chips from suppliers like Nvidia, and rent the computing capacity to businesses that use it to develop AI models. Plus, Microsoft Azure and Google Cloud offer a growing number of ready-made large language models (LLMs) from leading third-party developers, which businesses can use to fast-track their AI software projects.

Oracle is another provider of cloud services, except its data centers are considered to be among the industry’s most cost-effective and most powerful for processing AI workloads. The company believes it can grow its geographic footprint at least tenfold over the long term, which could drive incredible returns for its stock.

Actively managed funds come with higher costs, so the Roundhill ETF has an expense ratio of 0.75%, which is much higher than the 0.07% charged by the Vanguard Mega Cap Growth ETF. In dollar terms, an investment of $100,000 in the Roundhill ETF would incur an annual fee of $750.

However, investors have been well compensated for the relatively high cost, because the ETF has delivered a return of 111% since it was established in May 2023, crushing the 55% return in the benchmark S&P 500 (^GSPC 0.21%) index over the same period.

The case for the Vanguard Mega Cap Growth ETF

The Vanguard Mega Cap Growth ETF is a passive fund, meaning Vanguard’s portfolio managers have limited discretion over its holdings. It’s designed to track the performance of the CRSP U.S. Mega Cap Growth Index, which invests in the top 70% of the cumulative market capitalization of the CRSP U.S. Total Market Index. The CRSP U.S. Total Market Index holds all 3,508 stocks listed on American stock exchanges.

The Vanguard ETF holds just 69 stocks, which highlights the extreme concentration of wealth in the corporate sector. To explain it a different way, just 69 companies represent 70% of the entire value of all 3,508 companies listed on U.S. stock exchanges.

It just so happens that many of America’s largest companies operate in the tech and tech-adjacent industries. In fact, the top five holdings in the Vanguard ETF are among the biggest names in the AI space.

Stock

Vanguard ETF Portfolio Weighting

1. Nvidia

14.47%

2. Microsoft

13.94%

3. Apple

10.86%

4. Amazon

7.73%

5. Broadcom

4.94%

Data source: Vanguard. Portfolio weightings are accurate as of July 31, 2025, and are subject to change.

Apple continues to roll out its Apple Intelligence software, which brings several AI features to iPhones, iPads, and Mac computers. With more than 2.35 billion active devices worldwide, Apple could eventually become the biggest AI touchpoint for consumers on the planet.

Amazon Web Services is larger than both Microsoft Azure and Google Cloud, and it’s firmly focused on AI right now. But Amazon has deployed over 1,000 AI applications across its entire organization, which spans e-commerce, digital advertising, streaming, and more.

The Vanguard ETF has delivered a compound annual return of 13.5% since its inception in 2007, comfortably outpacing the S&P 500, which has grown by an average of 10.4% per year over the same period. But thanks mainly to the proliferation of AI, the ETF has soared by almost 26% annually over the last three years.

Therefore, like the Roundhill Generative AI and Technology ETF, the Vanguard Mega Cap Growth ETF offers investors a simple way to expose their portfolio to the AI boom.

Anthony Di Pizio has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Alphabet, Amazon, Apple, Meta Platforms, Microsoft, Nvidia, and Oracle. 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.



Source link

Continue Reading
Click to comment

Leave a Reply

Your email address will not be published. Required fields are marked *

AI Insights

AI a 'Game Changer' for Assistance, Q&As in NJ Classrooms – GovTech

Published

on



AI a ‘Game Changer’ for Assistance, Q&As in NJ Classrooms  GovTech



Source link

Continue Reading

AI Insights

NFL player props, odds, bets: 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 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.





Source link

Continue Reading

AI Insights

Top Artificial Intelligence Stocks Worth Watching – September 10th – MarketBeat

Published

on



Top Artificial Intelligence Stocks Worth Watching – September 10th  MarketBeat



Source link

Continue Reading

Trending