Week 2 of Sunday Night Football will see the Minnesota Vikings (1-0) hosting the Atlanta Falcons (0-1). J.J. McCarthy and Michael Penix Jr. will be popular in NFL props, as the two will face off for the first time since squaring off in the 2023 CFP National Title Game. The cast of characters around them has changed since McCarthy and Michigan prevailed over Washington, as the likes of Bijan Robinson, Justin Jefferson, Drake London and T.J. Hockenson now flank the quarterbacks. There are several NFL player props one could target for these star players, or you may find value in going after under-the-radar options.

Tyler Allgeier had 10 carries in Week 1, which were just two fewer than Robinson, with the latter being more involved in the passing game with six receptions. If Allgeier has a similar type of volume going forward, then the over for his rushing yards NFL prop may be one to consider. A strong run game would certainly help out a young quarterback like Penix, so both Allgeier and Robinson have intriguing Sunday Night Football props. Before betting any Falcons vs. Vikings props for Sunday Night Football, you need to see the Vikings vs. Falcons prop predictions powered by SportsLine’s 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. 

For Falcons vs. Vikings NFL betting on Sunday Night Football, the Machine Learning Model has evaluated the NFL player prop odds and provided Vikings vs. Falcons prop picks. You can only see the Machine Learning Model player prop predictions for Atlanta vs. Minnesota here.

Top NFL player prop bets for Falcons vs. Vikings

After analyzing the Vikings vs. Falcons props and examining the dozens of NFL player prop markets, the SportsLine’s Machine Learning Model says Falcons RB Bijan Robinson goes Over 65.5 rushing yards (-114 at FanDuel). 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. After replacing their entire starting defensive line in the offseason, it doesn’t appear the Vikings are as stout on the ground. They allowed 119 rushing yards in Week 1, which is more than they gave up in all but four games a year ago.

Robinson is coming off a season with 1,454 rushing yards, which ranked third in the NFL. He averaged 85.6 yards per game, and not only has he eclipsed 65.5 yards in six of his last seven games, but he’s had at least 90 yards on the ground in those six games. Over Minnesota’s last eight games, including the postseason, six different running backs have gone over 65.5 rushing yards, as the SportsLine Machine Learning Model projects Robinson to have 81.8 yards in a 4.5-star prop pick. See more NFL props here, and new users can also target the FanDuel promo code, which offers new users $300 in bonus bets if their first $5 bet wins:

How to make NFL player prop bets for Minnesota vs. Atlanta

In addition, the SportsLine Machine Learning Model says another star sails past his total and has six additional NFL props that are rated four stars or better. You need to see the Machine Learning Model analysis before making any Falcons vs. Vikings prop bets for Sunday Night Football.

Which Vikings vs. Falcons prop bets should you target for Sunday Night Football? Visit SportsLine now to see the top Falcons vs. Vikings props, all from the SportsLine Machine Learning Model.

Artificial intelligence (AI) has clearly been driving growth for a number of companies over the past few years. The technology promises to change the way many things are done and, as a result, supercharge companies’ businesses and lower costs. Certain players are already winning in this field, either creating AI tools and services or applying such AI to their daily operations.

This has resulted in billions of dollars in revenue for some, as well as increased efficiency and lower costs. Investors have appreciated this, sending many of these AI companies to new highs, with stocks gaining in the triple and quadruple digits over the past few years. And this has also shaken up the rankings of companies by market cap, as AI-focused players have seen their market value take off.

In fact, a couple of months ago, one of these companies reached an enormous market cap milestone — one that no other company had ever reached before. Now, my prediction is that this AI player will continue to head higher and be worth a whopping $10 trillion in five years. Let’s dive into this exciting AI growth story.

Driving crucial AI tasks

This company has taken the tech world by storm in recent years, becoming the world’s No. 1 AI chip designer. I’m talking about Nvidia (NVDA 0.43%). Chips are key, as they drive the most crucial of AI tasks, and this tech giant’s graphics processing units (GPUs) — or AI chips — are the most powerful on the planet. And customers aiming to win in AI have taken notice. They’ve scrambled to gain access to as many Nvidia GPUs as possible to run their projects, resulting in enormous revenue growth for Nvidia.

The best illustration of this is to compare Nvidia’s annual revenue of $27 billion just two years ago with the latest full year, during which revenue climbed to more than $130 billion.

Investors have recognized this, with Nvidia stock soaring more than 1,100% over the past three years. This helped the company reach the major market cap milestone of $4 trillion a couple of months ago. It became the first to reach this level, securing its spot as the world’s biggest company. In fact, it’s continued to progress to $4.3 trillion, and giants Microsoft and Apple remain under the $4 trillion mark, at least for now.

NVDA Market Cap data by YCharts.

Why do I think Nvidia could reach $10 trillion from here? The company predicts that AI infrastructure spending may increase to as much as $4 trillion by the end of the decade. Nvidia, as a supplier of the most sought-after chips and related products, may garner a great deal of this business. In the past, the company has taken about 25% of data center spending — that could imply $1 trillion in revenue for Nvidia. As Nvidia’s revenue has climbed in the past, so has its share price and market value. And that’s likely to happen again.

The path to $10 trillion

Now, let’s consider how Nvidia could make it to the $10 trillion level in five years. To maintain its current price-to-sales ratio of 26, Nvidia would have to generate sales of about $380 billion in 2030. Analysts expect Nvidia to bring in $200 billion in sales this year, implying a compound annual growth rate of about 14% over the coming five years. This is clearly achievable considering Nvidia’s track record of revenue growth, forecasts for AI spending ahead, and leadership position in the market.

Even if Nvidia’s growth slows from current levels — revenue climbed 56% in the latest quarter — and AI spending comes in somewhat lower than today’s projections, Nvidia remains well positioned to meet my market value prediction.

Does this mean anything in particular for you as an investor? As Nvidia grows in market value, it’s a reflection of the company’s strength, but a growing market cap isn’t the reason to buy a particular stock. Instead, look to Nvidia’s revenue patterns, demand for its chips, and innovation plans. These offer us a great reason to get in on this top AI stock.