
Elevate Your Performance with Pro-Tech Socks: Meet infiniti & PRIME
Understanding Compression: Light vs. Full
Compression socks aren't just an athletic fad, they're a performance tool. Built to apply strategic pressure, they promote blood flow, reduce swelling, and enhance recovery. Light compression is perfect for daily wear or mild activity. It offers comfort with everyday benefits.
is perfect for daily wear or mild activity. It offers comfort with everyday benefits. Full compression ups the ante delivering firm support that's ideal for intense workouts, long hours on your feet, or post-exercise recovery.
Both styles are crafted to support circulation, minimize fatigue, and help you stay ahead of the game.
Introducing Pro-Tech INFINITI Socks (Light Compression)
Looking for everyday ease with a performance punch? The Protech infiniti socks aka Pro-Tech Infiniti socks are your go-to. Light compression for comfort : Gentle pressure that supports your feet without feeling restrictive, perfect for daily runs, desk jobs, or light workouts Pro-Tech.
: Gentle pressure that supports your feet without feeling restrictive, perfect for daily runs, desk jobs, or light workouts Pro-Tech. Versatile sizing & value options : Available in both single pairs and multi-pack bundles, giving flexibility to match your budget and routine Pro-Tech+1.
: Available in both single pairs and multi-pack bundles, giving flexibility to match your budget and routine Pro-Tech+1. Sleek design: Lightweight and breathable, designed to blend seamlessly into your gear rotation.
Whether you're headed to the office or going for an easy jog, infiniti socks deliver comfort that keeps up.
Pro-Tech PRIME Socks (Full Compression)
For those who demand peak performance, the pro-tech Prime socks or pro-tech prime socks bring serious support: Full compression for maximum impact : Engineered to enhance blood flow, reduce muscle vibration, and aid in faster recovery Pro-Tech.
: Engineered to enhance blood flow, reduce muscle vibration, and aid in faster recovery Pro-Tech. Targeted cushioning : Shock-absorbing materials help dampen impact to protect fatigued feet during high-intensity activity Pro-Tech.
: Shock-absorbing materials help dampen impact to protect fatigued feet during high-intensity activity Pro-Tech. Performance-driven design: Meant for athletes, travelers, or anyone on their feet for long stretches—PRIME socks ensure you stay strong and supported.
In short: Pro-Tech Prime is for when your day—or workout—sets the bar high.
Why Go with Compression? Real Benefits of Pro-Tech Socks
Whether you choose infiniti or PRIME, here's what makes Pro-Tech Socks stand out: Boosted Circulation: Compression aids blood flow, helping deliver oxygen and nutrients to muscles more efficiently.
Fewer Aches, Faster Recovery: Less swelling and reduced muscle vibration means you bounce back quicker after activity.
Stay Dry & Secure: Designed with moisture-wicking tech and a snug fit that keeps your socks in place goodbye blisters, hello comfort.
Progressive Support: Bands of varying compression target specific areas, providing tailored support where you need it most.
Smart Tips for Using Your Pro-Tech Socks Start with the right size : Fit matters. Light vs. full compression will feel different ensure you get a snug, yet comfortable fit.
: Fit matters. Light vs. full compression will feel different ensure you get a snug, yet comfortable fit. Stick to the routine : For best results, wear your socks during long sessions, after workouts, or even while flying.
: For best results, wear your socks during long sessions, after workouts, or even while flying. Care tips : Wash on gentle cycles and air dry to preserve compression and elasticity over time.
: Wash on gentle cycles and air dry to preserve compression and elasticity over time. Mix & match: Build a sock lineup infiniti for everyday, PRIME for performance days.
In Conclusion: Take Every Step with Pro-Tech Confidence
At the end of the day, the best gear feels effortless. With Pro-Tech Socks, whether you opt for the gentle support of INFINITI or the firm hold of PRIME, you're investing in smarter performance and better recovery. These aren't just socks, they're your secret advantage in the relentless quest to be your best.
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Associated Press
5 hours ago
- Associated Press
Lucas Oil NHRA Nationals Results
Sunday At Brainerd International Raceway Brainerd, Minn. Final Finish Order Top Fuel 1. Doug Kalitta; 2. Clay Millican; 3. Billy Torrence; 4. Brittany Force; 5. Jordan Vandergriff; 6. Tony Stewart; 7. Shawn Langdon; 8. Justin Ashley; 9. Josh Hart; 10. Kyle Satenstein; 11. Will Smith; 12. Terry Totten; 13. Ida Zetterstrom; 14. Antron Brown. Funny Car 1. Austin Prock; 2. J.R. Todd; 3. Jack Beckman; 4. Chad Green; 5. Spencer Hyde; 6. Matt Hagan; 7. Ron Capps; 8. Daniel Wilkerson; 9. Alexis DeJoria; 10. Paul Lee; 11. Cruz Pedregon; 12. Dave Richards; 13. Jim Campbell; 14. Bobby Bode; 15. Bob Tasca III; 16. Hunter Green. Pro Stock 1. Greg Anderson; 2. Dallas Glenn; 3. Erica Enders; 4. Aaron Stanfield; 5. Cory Reed; 6. Eric Latino; 7. Jeg Coughlin; 8. Matt Hartford; 9. Cristian Cuadra; 10. Troy Coughlin Jr.; 11. Greg Stanfield; 12. Deric Kramer; 13. Fernando Cuadra Jr.; 14. Cody Coughlin; 15. David Cuadra; 16. Chris Vang. Round-by-Round Results Top Fuel First Round Shawn Langdon, 3.683, 334.90 def. Antron Brown, 6.742, 93.16; Clay Millican, 3.693, 330.80 def. Justin Ashley, 3.740, 336.57; Tony Stewart, 3.733, 328.54 def. Josh Hart, 3.788, 328.78; Jordan Vandergriff, 3.778, 283.97 def. Kyle Satenstein, 3.851, 316.01; Doug Kalitta, 3.721, 337.50 def. Terry Totten, 4.269, 213.37; Brittany Force, 3.692, 338.77 def. Will Smith, 4.239, 206.20; Billy Torrence, 3.706, 335.73 def. Ida Zetterstrom, 6.733, 89.99. Quarterfinals Kalitta, 3.683, 337.50 was unopposed; Torrence, 3.708, 335.73 def. Stewart, 3.746, 328.54; Millican, 3.715, 337.66 def. Vandergriff, 3.726, 332.18; Force, 3.679, 341.25 def. Langdon, 4.087, 219.40. Semifinals Kalitta, 3.665, 329.83 def. Torrence, 3.710, 335.32; Millican, 3.715, 321.50 def. Force, 3.718, 337.07. Final Kalitta, 3.670, 338.77 def. Millican, Broke. Funny Car First Round Spencer Hyde, Ford Mustang, 3.904, 327.51 def. Alexis DeJoria, Dodge Charger, 3.878, 331.77; Chad Green, Mustang, 3.952, 306.67 def. Hunter Green, Charger, 9.837, 83.88; Ron Capps, Toyota GR Supra, 3.861, 333.91 def. Bobby Bode, Mustang, 4.078, 261.42; Jack Beckman, Chevy Camaro, 3.895, 319.37 def. Dave Richards, Mustang, 4.002, 319.90; Austin Prock, Camaro, 3.855, 335.98 def. Jim Campbell, Charger, 4.026, 286.80; J.R. Todd, GR Supra, 3.894, 335.15 def. Paul Lee, Charger, 3.923, 328.46; Matt Hagan, Charger, 3.883, 333.58 def. Cruz Pedregon, Charger, 3.940, 327.11; Daniel Wilkerson, Mustang, 3.919, 332.34 def. Bob Tasca III, Mustang, 4.780, 180.04. Quarterfinals C. Green, 3.979, 309.34 def. Hyde, 3.942, 323.19; Beckman, 7.659, 83.86 def. Wilkerson, Foul - Red Light; Prock, 3.886, 332.18 def. Hagan, 4.092, 239.70; Todd, 3.852, 334.15 def. Capps, 4.245, 231.71. Semifinals Prock, 3.879, 320.36 def. C. Green, 6.706, 96.31; Todd, 3.863, 334.32 def. Beckman, 3.889, 323.81. Final Prock, 3.907, 321.50 def. Todd, 9.126, 85.87. Pro Stock First Round Eric Latino, Chevy Camaro, 6.643, 205.88 def. Cody Coughlin, Camaro, 15.796, 54.92; Jeg Coughlin, Camaro, 6.583, 207.85 def. David Cuadra, Camaro, 32.885, 34.01; Erica Enders, Camaro, 6.560, 208.55 def. Greg Stanfield, Camaro, 6.589, 208.10; Cory Reed, Camaro, 6.560, 207.66 def. Deric Kramer, Camaro, 6.593, 208.59; Matt Hartford, Camaro, 6.581, 209.01 def. Troy Coughlin Jr., Camaro, 6.582, 207.88; Dallas Glenn, Camaro, 6.554, 208.10 def. Fernando Cuadra Jr., Camaro, Foul - Red Light; Greg Anderson, Camaro, 6.521, 208.07 def. Chris Vang, Camaro, Broke; Aaron Stanfield, Camaro, 6.566, 206.45 def. Cristian Cuadra, Ford Mustang, 6.567, 206.83. Quarterfinals A. Stanfield, 6.579, 208.07 def. Reed, 6.582, 208.33; Enders, 6.572, 208.71 def. Hartford, Foul - Red Light; Glenn, 6.564, 208.04 def. J. Coughlin, Foul - Red Light; Anderson, 6.551, 207.66 def. Latino, 6.598, 206.48. Semifinals Glenn, 6.579, 208.14 def. Enders, 6.583, 208.75; Anderson, 6.555, 207.66 def. A. Stanfield, 6.583, 207.85. Final Anderson, 6.551, 206.86 def. Glenn, 6.577, 206.10. Point Standings Top Fuel 1. Shawn Langdon, 1,044; 2. Tony Stewart, 999; 3. Doug Kalitta, 993; 4. Justin Ashley, 911; 5. Brittany Force, 817; 6. Antron Brown, 815; 7. Clay Millican, 704; 8. Josh Hart, 571; 9. Steve Torrence, 569; 10. Shawn Reed, 475. Funny Car 1. Austin Prock, 1,140; 2. Jack Beckman, 898; 3. Matt Hagan, 871; 4. Ron Capps, 840; 5. Paul Lee, 767; 6. J.R. Todd, 720; 7. Daniel Wilkerson, 664; 8. Spencer Hyde, 620; 9. Alexis DeJoria, 568; 10. Bob Tasca III, 567. Pro Stock 1. Dallas Glenn, 1,146; 2. Greg Anderson, 1,137; 3. Matt Hartford, 715; 4. Cory Reed, 658; 5. Aaron Stanfield, 582; 6. Eric Latino, 577; 7. Jeg Coughlin, 516; 8. Greg Stanfield, 506; 9. Cody Coughlin, 462; 10. Deric Kramer, 447. _____
Yahoo
12 hours ago
- Yahoo
Prediction: 2 Artificial Intelligence (AI) Stocks That Will Be Worth More Than Nvidia by 2030
Key Points Nvidia has been the biggest beneficiary of AI spending among big tech companies. But Amazon and Meta Platforms are two tech giants seeing very strong results from investments in AI, and their future could be even brighter. Both trade at compelling valuations, especially compared to how expensive Nvidia has become. 10 stocks we like better than Amazon › Since October 2022, Nvidia has seen its value increase by more than $4 trillion. To put that into perspective, no other company is even worth $4 trillion today. The huge surge in value for the maker of graphics processing units (GPUs) stems from a few big tech companies spending hundreds of billions on its chips every year. The four biggest hyperscalers are set to spend around $380 billion on AI infrastructure this year, and they have guided for significant steps up in spending next year. Nvidia is set to be the prime beneficiary of that increased spending for some time, but that doesn't mean the stock will continue to climb. Market prices are based on what investors expect in the future, and the expectations for Nvidia remain high. But two other AI stocks look like they could surpass investor expectations, pushing both companies to exceed Nvidia's value by 2030. Can Nvidia keep climbing from here? Continued growth in AI spending is giving investors more and more confidence that Nvidia can keep up its torrid sales growth. The three main public cloud providers all reiterated that demand exceeds computing capacity, which means they will continue to spend growing amounts to meet their customers' needs. Meanwhile, Nvidia is selling chips as fast as it can make them. That led to a 69% rise in revenue in the company's first quarter, and a 59% increase in adjusted income. But it's unlikely to see growth continue at this pace. All four hyperscalers are working on custom silicon solutions for their own AI training. Microsoft is reportedly planning to shift a significant portion of its spending to its Maia300 chip in late 2026. Meta Platforms (NASDAQ: META) is working on expanding the AI workloads that its custom Meta Training and Inference Accelerating (MTIA) chips can handle. And on top of all of that, AMD is starting to show progress in catching up to Nvidia, while continuing to offer excellent price performance. Investors should expect a significant slowdown in sales as Nvidia faces fierce competition for its share of data center servers and it battles with the law of large numbers. As supply-demand forces reach equilibrium, the chipmaker might not be able to command such high gross margins, either. That could weigh on earnings growth. But with the stock currently trading at more than 42 times forward earnings, investors seem to think those risks aren't going to materialize. I think it's more likely they will keep Nvidia from continuing to outperform the market at such a torrid pace, limiting how much more upside there is from here. If investors want to buy shares of a big tech company capitalizing on the growth of AI, the following two industry giants present better value with more upside. In fact, I expect they will both be worth more than Nvidia by 2030. 1. Amazon Amazon (NASDAQ: AMZN) is the largest provider of public cloud computing in the world with Amazon Web Services (AWS), making it one of Nvidia's biggest customers. While the company was caught flat-footed as generative AI took off in 2022, management quickly caught up with the competition thanks in part to its investment in Anthropic. Management continues to see strong demand for its AI services, with revenue more than doubling year over year. However, AWS's scale has masked that strong growth. The cloud services segment generated $116 billion in revenue over the last 12 months. That's roughly 55% larger than its next closest competitor, Microsoft. But AWS's 17% year-over-year growth looks disappointing compared to Microsoft's 39% growth in cloud services last quarter. Nonetheless, Amazon has mostly kept its market share despite strong growth by its competitors. What's more important is that the margin profile on AWS is extremely strong. The operating margin of 36.8% over the last 12 months is up from 33.4% a year ago. And while it took a dip in the second quarter, that's due to the timing of share-based compensation. The long-term trend shows continued improvement in margins. Meanwhile, Amazon's retail business is becoming very profitable in its own right. The North American segment saw its operating margin climb to 7% last quarter while the international segment's margin came in at 3.4%. Strong top-line growth of 11% for both helped, which was bolstered by high-margin ad revenue growth of 22%. The long-term trends favor steady revenue growth across Amazon's businesses with particular strength in its high-margin operations (namely AWS and advertising). That should result in earnings growth well above average. And as its spending growth on AWS slows down, free cash flow should rise to new records by the end of the decade. That gives the company more opportunities to invest for growth, just as it has managed to do throughout its history. The stock currently looks attractive amid a small pullback in price. 2. Meta Platforms Meta is another major Nvidia customer, but unlike Amazon, it only uses Nvidia chips for its own AI needs. In fact, it might be spending more on its own AI needs than any other company in the world. And Meta's second-quarter results are a clear example of why it's willing to spend so much. Sales grew 22% last quarter, and its operating margin expanded 5 percentage points. For some perspective, that's faster revenue growth than both Snap and Pinterest despite being a much bigger force in social media advertising. Meta's AI capabilities are a clear reason for the outperformance. Artificial intelligence has led to better recommendations for both advertisements and organic content. As a result, the company served up more ads and was able to command higher pricing per ad impression. Meanwhile, it's seeing strong uptake of its generative AI tools for ad creation, which makes it easier for marketers to create and test new ideas. There are a number of other opportunities that AI could unlock. Those include AI chatbots for businesses in WhatsApp and Messenger, which could drive increased click-to-message ads in Facebook and Instagram. And management has said its Meta AI chatbot built into its apps now has 1 billion monthly active users, giving it yet another surface to monetize with ads. It only recently started showing ads in WhatsApp and Threads. That should give it room to grow supply as demand increases due to its generative AI tools making advertising easier. Lastly, Meta is at the forefront of development in augmented and virtual reality. AI can unlock a lot of value in an environment that's also aware of your surroundings. The company has already seen strong early adoption of its Meta Glasses with AI built in. Shares look very attractive with an enterprise value around 16 times forward estimates on earnings before interest, taxes, depreciation, and amortization (EBITDA). While depreciation of its data centers will weigh on its margins, the company is proving the investments are paying off with very strong revenue growth and by unlocking a lot of potential profits in the long run. Do the experts think Amazon is a buy right now? The Motley Fool's expert analyst team, drawing on years of investing experience and deep analysis of thousands of stocks, leverages our proprietary Moneyball AI investing database to uncover top opportunities. They've just revealed their to buy now — did Amazon make the list? When our Stock Advisor analyst team has a stock recommendation, it can pay to listen. After all, Stock Advisor's total average return is up 1,070% vs. just 184% for the S&P — that is beating the market by 885.55%!* Imagine if you were a Stock Advisor member when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $668,155!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $1,106,071!* The 10 stocks that made the cut could produce monster returns in the coming years. 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 13, 2025 Adam Levy has positions in Amazon, Meta Platforms, and Microsoft. The Motley Fool has positions in and recommends Advanced Micro Devices, Amazon, Meta Platforms, Microsoft, Nvidia, and Pinterest. The Motley Fool 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. Prediction: 2 Artificial Intelligence (AI) Stocks That Will Be Worth More Than Nvidia by 2030 was originally published by The Motley Fool Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
12 hours ago
- Yahoo
OpenAI is at a classic strategy crossroads involving its ‘moat'—which Warren Buffett believes can make or break a business
It's an epochal moment as history's latest general-purpose technology, AI, forms itself into an industry. Much depends on these early days, especially the fate of the industry's leader by a mile, Open AI. In terms of the last general-purpose technology, the internet, will it become a colossus like Google or be forgotten like AltaVista? No one can know, but here's how to think about it. OpenAI's domination of the industry is striking. As the creator of ChatGPT, it recently attracted 78% of daily unique visitors to core model websites, with six competitors splitting up the rest, according to a recent 40-page report from J.P. Morgan. Even with that vast lead, the report shows, OpenAI is expanding its margin over its much smaller competitors, including even Gemini, which is part of Google and its giant parent, Alphabet (2024 revenue: $350 billion). The great question now is whether OpenAI can possibly maintain its wide lead (history would say no) or at least continue as the industry leader. The answer depends heavily on OpenAI's moat, a Warren Buffett term for any factor that protects the company and cannot be easily breached–think of Coca-Cola's brand or BNSF Railroad's economies of scale, to mention two of Buffett's successful investments. On that count the J.P. Morgan analysts are not optimistic. Specifically, they acknowledge that while OpenAI has led the industry in innovating its models, that strategy is 'an increasingly fragile moat.' Example: The company's most recent model, GPT-5, included multiple advances yet underwhelmed many users. As competitors inevitably catch up, the analysts conclude, 'Model commoditization is an increasingly likely outcome.' With innovations suffering short lives, OpenAI must now become 'a more product-focused, diversified organization that can operate at scale while retaining its position' at the top of the industry–skills the company has yet to demonstrate. Bottom line, OpenAI can maintain its leading rank in the industry, but it won't be easy, and betting on it could be risky. Yet a different view suggests OpenAI is much closer to creating a sustainable moat. It comes from Robert Siegel, a management lecturer at Stanford's Graduate School of Business who is also a venture capitalist and former executive at various companies, many in technology. He argues that OpenAI is already well along the road to achieving a valuable attribute, stickiness: The longer customers use something, the less likely they are to switch to a competitor. In OpenAI's case, 'people will only move to Perplexity or Gemini or other solutions if they get a better result,' he says. Yet that becomes unlikely because AI learns; the more you use a particular AI engine, the more it learns about you and what you want. 'If you keep putting questions into ChatGPT, which learns your behaviors better, and you like it, there's no reason to leave as long as it's competitive.' Now combine that logic with OpenAI's behavior. 'It seems like their strategy is to be ubiquitous,' Siegel says, putting ChatGPT in front of as many people as possible so the software can start learning about them before any competitor can get there first. Most famously, OpenAI released ChatGPT 3.5 to the public in 2022 for free, attracting a million users in five days and 100 million in two months. In addition, the company raised much investment early in the game, having been founded in 2015. Thus, Siegel says, OpenAI can 'continue to run hard and use capital as a moat so they can do all the things they need to do to be everywhere.' But Siegel, the J.P. Morgan analysts, and everyone else knows plenty can always go wrong. An obvious threat to OpenAI and most of its competitors is an open-source model such as China's DeepSeek, which appears to perform well at significantly lower costs. The venture capital that has poured into OpenAI could dry up as hundreds of other AI startups compete for financing. J.P. Morgan and Siegel agree that OpenAI's complex unconventional governance structure must be reformed; though a recently proposed structure has not been officially disclosed, it is reportedly topped by a nonprofit, which might worry profit-seeking investors. As for moats, OpenAI is obviously in the best position to build or strengthen one. But looking into the era of AI, the whole concept of the corporate moat may become meaningless. How long will it be, if it hasn't been done already, before a competitor asks its own AI engine, 'How do we defeat OpenAI's moat?' This story was originally featured on Sign in to access your portfolio