Trump Media's Truth.Fi, T-Mobile, Teva: Market Minute
Yahoo Finance host Josh Lipton dives into the latest Wall Street stock news on today's segment of Market Minute.
Trump Media & Technology (DJT, DJTWW) stock is moving higher after it announced it will expand into the financial services market. The company has secured funding of up to $250 million, which will be custodied by Charles Schwab (SCHW).
Shares of T-Mobile (TMUS) also rose after the company issued strong guidance based on its fourth quarter earnings results. The company expects to add 5.5 million to 6 million new paid subscribers in 2025.
Finally, Teva Pharmaceutical (TEVA) stock is under pressure after the company issued a softer-than-expected outlook.
Stay up to date on the latest market action, minute-by-minute, with Yahoo Finance's Market Minute.
This post was written by Angel Smith
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3 hours ago
- Yahoo
AMD CEO Su turns heads with comments at AI event
AMD CEO Su turns heads with comments at AI event originally appeared on TheStreet. Lisa Su has seen the future and she wants to tell you all about it. The chairwoman and CEO of Advanced Micro Devices () took the stage at the chipmaker's "Advancing AI" developers conference to give the attendees an idea of what's next. 💵💰Don't miss the move: Subscribe to TheStreet's free daily newsletter 💰 "At AMD, we're really focused on pushing the boundaries of high performance and adaptive computing to help solve some of the world's most important challenges," Su said during her keynote address. "Frankly, computing has never been more important in the world. "I'm always incredibly proud to say that billions of people use AMD technology every day, whether you're talking about services like Microsoft Office 365 or Facebook or Zoom or Netflix or Uber or Salesforce or SAP and many more running on AMD infrastructure." Su said her company's latest AI processors can challenge Nvidia's () chips in a market she now expects to soar past $500 billion in the next three years, according to Bloomberg. The new installments in AMD's MI350 chip series are faster than Nvidia's counterparts and represent major gains over earlier versions, Su said at a company event Thursday in San Jose, Calif. The MI355 chips, which started shipping earlier this month, are 35 times faster than predecessors, she said. Though AMD remains a distant second to Nvidia in AI accelerators — the chips that help develop and run artificial intelligence tools — it aims to catch up with these new products. More Tech Stocks: Palantir gets great news from the Pentagon Analyst has blunt words on Trump's iPhone tariff plans OpenAI teams up with legendary Apple exec The stakes are higher than ever: Su previously predicted $500 billion in market revenue by 2028, but she now sees it topping that number. 'People used to think that $500 billion was very large number,' she said in a briefing following her presentation. 'Now it seems well within grasp.' In February, AMD's forecast for its data center business reflected slower growth than some analysts predicted. AMD says the new update to its MI range will restore momentum and prove it can go toe to toe with a much bigger rival. AMD said that the MI355 outperforms Nvidia's B200 and GB200 products when it comes to running AI software and equals or exceeds them when creating the code. Purchasers will pay significantly less than they would versus Nvidia, AMD said. Nvidia did not immediately respond to a request for comment. AMD, like Nvidia, is restricted from shipping its most powerful components to China under U.S. trade curbs. The company is lobbying hard to try to get the Trump administration to allow them to freely offer AI components to other countries. AMD shares are down 4.1% this year and off nearly 28% from a year ago. Several investment firms issued research reports following AMD's "Advancing AI" event, including Evercore ISI analyst Mark Lipacis, who raised his price target on the company to $144 from $126 and affirmed an outperform rating on the shares. The AI event indicated that AMD is making progress on the ROCm software stack as well as in penetrating hyperscalers' internal inferencing workloads, the analyst tells investors. The hyperscalers are the major providers of cloud infrastructure and services. The AMD Instinct customer list expanded from Meta Platforms () , Oracle () and Microsoft () to OpenAI, xAI, Cohere, RedHat IBM's () software subsidiary, and Humain, said Lipacis. He says that increased visibility into AMD's data-center graphics-processing units warrants a higher price-to-earnings multiple. Yahoo Finance calculates the forward p/e at just under 30 for AMD and under 34 for Capital analyst Suji Desilva raised the firm's price target on AMD to $150 from $125 following AMD's AI event and affirmed a buy rating on the shares. The analyst said he was encouraged by AMD's artificial intelligence portfolio progress across processors, AI GPUs, networking, software and rack systems. Desilva said he expected faster 2026 growth with the ramp of the MI350 accelerator-based Helios rack solution. AMD sees the addressable market growing faster than previously expected, with AI inferencing and agentic AI trending as growth drivers on top of "significant" AI training investment to date, the analyst tells investors in a research note. Citi analyst Christopher Danely maintained a neutral rating on AMD with a $120 price target after the "Advancing AI" event and the launch of its latest artificial intelligence chip, the MI355X. He noted that AMD raised the AI total addressable market and announced a new customer, xAI, but it did not provide a revenue forecast for its AI business, which would benefit the CEO Su turns heads with comments at AI event first appeared on TheStreet on Jun 15, 2025 This story was originally reported by TheStreet on Jun 15, 2025, where it first appeared. Sign in to access your portfolio
Forbes
3 hours ago
- Forbes
Multimodal AI: A Powerful Leap With Complex Trade-Offs
Artificial intelligence is evolving into a new phase that more closely resembles human perception and interaction with the world. Multimodal AI enables systems to process and generate information across various formats such as text, images, audio, and video. This advancement promises to revolutionize how businesses operate, innovate, and compete. Unlike earlier AI models, which were limited to a single data type, multimodal models are designed to integrate multiple streams of information, much like humans do. We rarely make decisions based on a single input; we listen, read, observe, and intuit. Now, machines are beginning to emulate this process. Many experts advocate for training models in a multimodal manner rather than focusing on individual media types. This leap in capability offers strategic advantages, such as more intuitive customer interactions, smarter automation, and holistic decision-making. Multimodal has already become a necessity in many simple use cases today. One example of this is the ability to comprehend presentations which have images, text and more. However, responsibility will be critical, as multimodal AI raises new questions about data integration, bias, security, and the true cost of implementation. Multimodal AI allows businesses to unify previously isolated data sources. Imagine a customer support platform that simultaneously processes a transcript, a screenshot, and a tone of voice to resolve an issue. Or consider a factory system that combines visual feeds, sensor data, and technician logs to predict equipment failures before they occur. These are not just efficiency gains; they represent new modes of value creation. In sectors like healthcare, logistics, and retail, multimodal systems can enable more accurate diagnoses, better inventory forecasting, and deeply personalized experiences. In addition, and perhaps more importantly, the ability of AI to engage with us in a multimodal way is the future. Talking to an LLM is easier than writing and then reading through responses. Imagine systems that can engage with us leveraging a combination of voice, videos, and infographics to explain concepts. This will fundamentally change how we engage with the digital ecosystem today and perhaps a big reason why many are starting to think that the AI of tomorrow will need something different than just laptops and screens. This is why leading tech firms like Google, Meta, Apple, and Microsoft are heavily investing in building native multimodal models rather than piecing together unimodal components. Despite its potential, implementing multimodal AI is complex. One of the biggest challenges is data integration, which involves more than just technical plumbing. Organizations need to feed integrated data flows into models, which is not an easy task. Consider a large organization with a wealth of enterprise data: documents, meetings, images, chats, and code. 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3 hours ago
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The Browser Company launches its AI-first browser, Dia, in beta
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