Latest news with #Dojo
Yahoo
a day ago
- Business
- Yahoo
Veteran analyst names 30 AI stocks shaping future of technology
Veteran analyst names 30 AI stocks shaping future of technology originally appeared on TheStreet. If you want to find out where AI money's heading, Wedbush's Dan Ives just handed you a map. The veteran tech analyst just refreshed the Dan Ives AI 30 list, essentially Wedbush's cherry-picked list of the best AI stocks that could potentially define where AI is going next. 💵💰💰💵 Nvidia's () is the usual suspect on the list, but some new names may surprise you. Also, a fair few big names got booted off the list, which makes things even more interesting. Ives' selections are far from just a list, representing more of a snapshot of where the tech industry might be five years from now. Best AI stocks 2025: from market titans to sub-$10 speculations When it comes to investing in AI stocks, the conversation typically starts with the biggest names. The best AI stocks to buy are essentially the platform leaders controlling compute, data, and distribution. Nvidia, a no-brainer pick, usually dominates accelerators and AI software ecosystems, while Microsoft and Amazon sit at the top of cloud AI adoption. Google continues to push through with its search prowess and generative AI integration, while chipmakers and AI infrastructure players like Broadcom and AMD remain critical suppliers powering the space. Also, for those with a long-term investing mindset, Meta and Taiwan Semiconductor are in the what about Elon Musk's AI play? His company, xAI, behind the potent Grok chatbot, remains private, but Tesla acts as the public proxy. From the powerful Dojo supercomputer to Robotaxi ambitions and even humanoid robots, Tesla embodies Musk's AI vision in a listed form. Of course, not everyone is looking at mega-caps. Some investors will want to scoop up AI stocks under $10 with moonshot potential. That's a space where there's a ton of speculation, but opportunities exist as well. Over the past few years, companies such as SoundHound AI, and Guardforce AI typically show up in this range. They're volatile, but often provide healthy exposure to smaller, fast-moving bets on the AI trend. Risk management matters are as important as stock picking, which is where the 7% rule comes in. It's a simple philosophy, too, in that if a stock falls 7% to 8% below your purchase price, you sell. The idea is to efficiently prevent major losses that can drag down performance while letting winners run. The playbook remains clear, where the goal is to anchor portfolios in durable AI platforms and selectively use sub-$10 names for upside, while sticking to the 7% rule for discipline. Nvidia still leads as Wedbush refreshes Dan Ives' AI 30 list Nvidia sits at the top of Wedbush's Dan Ives' AI 30 list, and it's not hard to see why. The chip giant is clearly the backbone of the AI revolution, powering everything from ChatGPT to enterprise machine learning models. Wedbush views Nvidia as a critical engine of this multi-trillion-dollar perspective, the global data‑center electricity demand is forecasted to jump more than double by 2030, to roughly 945 TWh. That's equivalent to the entire electricity consumption of Japan today, and AI is the key driver behind this surge. But Nvidia's not the only name that warrants attention. Before going any deeper, though, here's the list of notable additions and removals: Additions to the AI 30 list: CrowdStrike Roblox GE Vernova Nebius Removals from the AI 30 list: Adobe CyberArk Elastic In its latest shake-up, Wedbush added CrowdStrike, Roblox, GE Vernova, and Nebius to its illustrious group of 30 AI-driven businesses. Ives said these businesses are well-positioned to capitalize on the AI revolution, backed by healthy fundamentals and emerging momentum. CrowdStrike is part of the list for its surging demand in cybersecurity and AI-powered protection, with Ives touting the success of its Charlotte AI platform. Roblox earned its place through robust developer incentives and smarter content discovery. More News: Billionaire George Soros supercharges Nvidia stake, loads up on AI plays Tesla just got its biggest break yet in the robotaxi wars with a key permit Bank of America drops shocking price target on hot weight-loss stock post-earnings AI is playing a critical role in driving user growth and monetization, potentially paying dividends in the upcoming quarters. GE Vernova benefits from the hyperscaler boom. With the expansion in data centers, demand for power and grid tools grows along with it. Nebius, meanwhile, is growing fast as it looks to meet red-hot demand for its AI infrastructure, with demand still outpacing supply. Additionally, Apple, Alibaba, and Baidu are already part of this elite list, and the new entrants show just how fast the AI race is evolving. Wedbush cuts Adobe, CyberArk, and Elastic from AI 30 With the addition of some fresh names, four tech businesses just lost their spot on the AI 30 list. Foremost, we have Adobe, which was dropped on the back of a slower AI start than Ives had hoped for. That sluggishness is resulting in slower growth and could significantly hurt its free cash flow haul. CyberArk is being scooped up by Palo Alto Networks, which is already featured in the AI 30 list. That deal, which is worth $25 billion, was a big reason for the switch, which Wedbush deemed a 'home-run M&A deal.' was also removed from the list on the back of a messy sales reorganization and its CEO Thomas Siebel's resignation. The leadership shakeup raised some major questions for analysts, pointing to near-term speed bumps. Elastic also got the boot, despite boasting strong federal contracts under its repertoire. Though Ives remains bullish, the axe was perhaps more about other tech names now pulling analyst names 30 AI stocks shaping future of technology first appeared on TheStreet on Aug 18, 2025 This story was originally reported by TheStreet on Aug 18, 2025, where it first appeared.
Time of India
4 days ago
- Business
- Time of India
Air Canada strike update: Airline cancels flights and issues lookout notice as 130,000 may face daily disruptions
Air Canada is bracing for a major disruption as tensions with its flight attendants escalate. The airline has already begun canceling flights in case of a possible work stoppage that could leave thousands of people stuck. Given the current standoff between both sides, the next 72 hours could determine whether Canada's largest airline completely ceases operations. What effect will the strike have on travelers? Air Canada has started to cancel flights ahead of time after its flight attendants gave a 72-hour strike notice, which could mean that all of the airline's operations will be grounded across the country. The airline says that the stop could affect about 130,000 passengers every day, and by the end of Friday, hundreds of flights had already been canceled. All Air Canada and Air Canada Rouge flights should be stopped by early Saturday morning, as quoted in a report by KCRA 3. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like Undo ALSO READ: Orca attack mystery: What really happened to marine trainer Jessica Radcliffe Mark Nasr, the Chief Operations Officer, said that the decision to slowly stop flights will make it easier to start them up again if an agreement is reached. Live Events He said, "which under the best circumstances will take a full week to complete." Several long-haul international routes have already seen the first wave of cancellations, and about 25,000 Canadians could be stuck overseas every day, as quoted in a report by KCRA 3. Long-haul international flights that were scheduled to depart Thursday night will be impacted by the first round of cancellations, he said, which involved several dozen flights. "By tomorrow evening we expect to have cancelled flights affecting over 100,000 customers,' Nasr said. 'By the time we get to 1 a.m. on Saturday morning, we will be completely grounded.' By the end of Friday, 500 flights are anticipated to be canceled, as quoted in a report by KCRA 3. ALSO READ: Tesla abruptly ends Dojo supercomputer as Musk shifts focus to next-gen AI chips - what went wrong with the project? What are the union's main requests? The Canadian Union of Public Employees (CUPE), which speaks for about 10,000 flight attendants, says that the disagreement is mostly about low pay and not getting paid for time spent on the ground. Some of the attendants held up signs at a press conference that said "Unpaid work won't fly" and "Poverty wages = UnCanadian," showing how angry they were. Air Canada recently offered a 38% raise in total pay, which includes wages, pensions, and benefits, over four years. But the union says this still doesn't cover all of their worries. Natasha Stea, a spokesperson for the union, said that management might be counting on the federal government to step in instead of having real talks. She said, "There's still time to reach an agreement if we sit down and talk." ALSO READ: Apple's iPhone 17 color lineup leaks: Stunning new hues spark frenzy online Can the government step in to stop the shutdown? The airline suggested binding arbitration, but the union turned it down and insisted on direct negotiations that all members can vote on. Patty Hajdu, the federal jobs minister, has told both sides to reach an agreement at the table, but she hasn't ruled out government action if things get worse. This strike is coming up almost a year after Air Canada narrowly avoided a similar problem with its pilots, who reached a contract deal before a strike notice was sent out. The pilots' union has spoken out in support of the flight attendants and asked that their right to negotiate as a group be respected without government interference. Air Canada is currently offering full refunds to passengers whose flights have been canceled. The airline is also working with other airlines to find other ways for people to travel when possible. But as the deadline gets closer, the future of Canada's busiest airline is still up in the air, and the effect on travelers could be huge. FAQs How many people might the strike affect? The strike could potentially impact approximately 130,000 individuals daily. What is the main cause of the disagreement? Concerns about remuneration and unpaid work hours are the primary causes of this disagreement.
Economic Times
4 days ago
- Automotive
- Economic Times
Tesla abruptly ends Dojo supercomputer as Musk shifts focus to next-gen AI chips - what went wrong with the project?
Tesla's ambitious Dojo supercomputer project is over, which is a big change in the company's AI strategy. Elon Musk has ended Tesla's four-year Dojo supercomputer project, saying it was a "dead end" for the company. Elon Musk confirmed that the resources would now be focused on making next-generation AI chips. Tesla is having more and more trouble with both its AI development and electric vehicle sales, which is why it is making this move. There is a lot of turmoil inside the company, and sales of electric vehicles are slowing Musk stated on X that Tesla would no longer be using the specialized hardware and team that worked on Dojo, as per a report by Observer. ALSO READ: Orca attack mystery: What really happened to marine trainer Jessica Radcliffe Tesla's AI Day in 2021 was the first time Dojo was shown to the public. It was made to handle a lot of driving data for the company's Full Self-Driving (FSD) system. It ran on Tesla's D1 chip, which was made by TSMC. The company promised that it would be more efficient, cost less, and depend less on chipmakers like Nvidia. But Musk said that the project had gotten to a point where its future didn't make sense anymore, as per a report by READ : Apple's iPhone 17 color lineup leaks: Stunning new hues spark frenzy online Musk said, 'Once it became clear that all paths converged to AI6, I had to shut down Dojo and make some tough personnel choices, as Dojo 2 was now an evolutionary dead end." This meant making hard decisions about who to hire and fire, like breaking up the Dojo team of about 20 people. Once it became clear that all paths converged to AI6, I had to shut down Dojo and make some tough personnel choices, as Dojo 2 was now an evolutionary dead end. Dojo 3 arguably lives on in the form of a large number of AI6 SoCs on a single board. — Elon Musk (@elonmusk) August 10, 2025 Now that Dojo is out of the picture, Tesla is focusing its AI efforts on two new chips: the AI5, made by TSMC, and the AI6, made by Samsung. The AI5 chip is made to run self-driving cars and robots. The AI6 chip can handle both deployment and big AI training tasks, as per a report by Musk says that combining chip development will make things easier and save money. He said, "Putting a lot of AI5/AI6 chips on a board in a supercomputer cluster makes sense, whether for inference or training, just to make the network cabling less complicated and cheaper by a few orders of magnitude." ALSO READ: Jackie Bezos, Jeff Bezos' mother, passes away at 78 — what is Lewy Body Dementia, the disease she battled? This change also means that Tesla no longer has to keep two separate lines of AI chips: one for inference (running trained models to make decisions in real time) and one for training (giving AI systems huge datasets to teach them how to find patterns), as per a report by closure comes at a time when Tesla's main business, making electric cars, is having trouble. Tesla's electric vehicle sales fell 16% year over year in the quarter that ended on June 30, and total sales fell 12%. The company's share of the U.S. market has also dropped a lot, from 75% in 2022 to less than 50% now, as per a report by to this financial pressure, Tesla has to focus on projects that will make the most money. Tesla wants to speed up improvements to its FSD system and robotics programs by focusing on AI5 and AI6. They don't want to stretch their resources too decision also comes after months of problems within the Dojo division, including the loss of several important engineers. Why did Tesla close down Dojo?Elon Musk stated that all development paths had converged on the AI6 chip, rendering Dojo redundant. What will replace Dojo? Tesla is now focusing on AI5 and AI6 chips for self-driving, robotics, and AI training.
Time of India
4 days ago
- Automotive
- Time of India
Tesla abruptly ends Dojo supercomputer as Musk shifts focus to next-gen AI chips - what went wrong with the project?
Tesla 's ambitious Dojo supercomputer project is over, which is a big change in the company's AI strategy. Elon Musk has ended Tesla's four-year Dojo supercomputer project, saying it was a "dead end" for the company. Why did Elon Musk say that Dojo was an "evolutionary dead end"? Elon Musk confirmed that the resources would now be focused on making next-generation AI chips. Tesla is having more and more trouble with both its AI development and electric vehicle sales, which is why it is making this move. There is a lot of turmoil inside the company, and sales of electric vehicles are slowing down. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like He is our only child, we cannot see him suffer. Help us! Donate For Health Donate Now Undo Elon Musk stated on X that Tesla would no longer be using the specialized hardware and team that worked on Dojo, as per a report by Observer. ALSO READ : Orca attack mystery: What really happened to marine trainer Jessica Radcliffe Live Events Tesla's AI Day in 2021 was the first time Dojo was shown to the public. It was made to handle a lot of driving data for the company's Full Self-Driving (FSD) system. It ran on Tesla's D1 chip, which was made by TSMC. The company promised that it would be more efficient, cost less, and depend less on chipmakers like Nvidia. But Musk said that the project had gotten to a point where its future didn't make sense anymore, as per a report by Observer. ALSO READ : Apple's iPhone 17 color lineup leaks: Stunning new hues spark frenzy online Musk said, 'Once it became clear that all paths converged to AI6, I had to shut down Dojo and make some tough personnel choices, as Dojo 2 was now an evolutionary dead end." This meant making hard decisions about who to hire and fire, like breaking up the Dojo team of about 20 people. Once it became clear that all paths converged to AI6, I had to shut down Dojo and make some tough personnel choices, as Dojo 2 was now an evolutionary dead end. Dojo 3 arguably lives on in the form of a large number of AI6 SoCs on a single board. — Elon Musk (@elonmusk) August 10, 2025 What are the AI5 and AI6 chips from Tesla supposed to do? Now that Dojo is out of the picture, Tesla is focusing its AI efforts on two new chips: the AI5, made by TSMC, and the AI6, made by Samsung. The AI5 chip is made to run self-driving cars and robots. The AI6 chip can handle both deployment and big AI training tasks, as per a report by Observer. Elon Musk says that combining chip development will make things easier and save money. He said, "Putting a lot of AI5/AI6 chips on a board in a supercomputer cluster makes sense, whether for inference or training, just to make the network cabling less complicated and cheaper by a few orders of magnitude." ALSO READ: Jackie Bezos, Jeff Bezos' mother, passes away at 78 — what is Lewy Body Dementia, the disease she battled? This change also means that Tesla no longer has to keep two separate lines of AI chips: one for inference (running trained models to make decisions in real time) and one for training (giving AI systems huge datasets to teach them how to find patterns), as per a report by Observer. How is Tesla's electric vehicle business affecting its AI strategy? Dojo's closure comes at a time when Tesla's main business, making electric cars, is having trouble. Tesla's electric vehicle sales fell 16% year over year in the quarter that ended on June 30, and total sales fell 12%. The company's share of the U.S. market has also dropped a lot, from 75% in 2022 to less than 50% now, as per a report by Observer. Due to this financial pressure, Tesla has to focus on projects that will make the most money. Tesla wants to speed up improvements to its FSD system and robotics programs by focusing on AI5 and AI6. They don't want to stretch their resources too thin. The decision also comes after months of problems within the Dojo division, including the loss of several important engineers. FAQs Why did Tesla close down Dojo? Elon Musk stated that all development paths had converged on the AI6 chip, rendering Dojo redundant. What will replace Dojo? Tesla is now focusing on AI5 and AI6 chips for self-driving, robotics, and AI training.
Arabian Post
6 days ago
- Automotive
- Arabian Post
Samsung secures $16.5bn deal to manufacture Tesla's AI6 chips in Texas
Samsung Electronics has secured a significant contract with Tesla, valued at $16.5 billion, to produce the electric vehicle manufacturer's next-generation AI6 chips. The chips will be manufactured at Samsung's advanced fabrication facility in Taylor, Texas, marking a pivotal development in both companies' strategic plans. The eight-year agreement, confirmed by Tesla CEO Elon Musk, is set to commence in 2025 and extend through 2033. This deal represents a substantial commitment from Tesla to Samsung's foundry capabilities, particularly as the semiconductor industry faces increasing demand for advanced chips. The AI6 chips are designed to power Tesla's Full Self-Driving systems, the Optimus humanoid robot, and future robotaxi fleets. This move follows Tesla's decision to discontinue its in-house Dojo supercomputer project, redirecting focus towards optimized chip design and external partnerships for AI infrastructure. ADVERTISEMENT Samsung's Taylor facility, supported by $6.4 billion in U. S. CHIPS Act funding, will utilize the company's 2-nanometer process technology to manufacture the AI6 chips. This collaboration aims to enhance Samsung's foundry business, which has faced challenges in recent years, and to position the company as a competitive player in the advanced semiconductor market. While the deal is a strategic win for Samsung, it also presents challenges. The production of 2nm chips is complex, and achieving high yield rates is critical. Additionally, the financial terms of the contract suggest that Samsung may initially operate at a loss, viewing the deal as an investment in long-term growth and industry positioning. The partnership with Tesla is expected to bolster Samsung's position in the global semiconductor industry, particularly in competition with Taiwan's TSMC, a dominant player in the foundry market. The success of this venture will depend on the effective scaling of production capabilities and the ability to meet Tesla's stringent performance requirements.
