logo
Nvidia has soared 45% in 2 months. These forces are reviving the hype for Wall Street's favorite AI play.

Nvidia has soared 45% in 2 months. These forces are reviving the hype for Wall Street's favorite AI play.

Nvidia stock has embarked on a fresh rally thanks to four big catalysts that are generating new enthusiasm for artificial intelligence chip maker.
The stock has climbed 20% over the last month. Since its most recent low in April, the move up is even sharper. After bottoming during the broader market sell-off caused by Donald Trump's tariff announcements, the stock is up 45%, a gain of about $1 trillion in market cap. The stock is up about 5% year-to-date.
That latest rally follows a rough few months for Nvidia. Shares were down more than 30% year-to-date in early April as concerns swirled around export controls and Trump's tariffs, which complicated the chipmaker's business in China.
While the stock has benefited from an easing of tariff-related headwinds that's also boosted the broader market, there are several company-specific forces driving the rally.
Here is what's sparked the latest run of gains for the top chip maker.
AI diffusion rule rollback
The Commerce Department did away with the Biden administration's AI diffusion rule in mid-May, removing restrictions on which countries Nvidia can sell AI chips to.
Those restrictions have been a major overhang for Nvidia stock this year. At a recent tech conference, Ceo Jensen Huang told reporters that export controls have hurt Nvidia's business in China.
"All in all, the export control was a failure," Huang said at the event. "The fundamental assumptions that led to the AI diffusion rule in the beginning, in the first place, have been proven to be fundamentally flawed."
Nvidia's big Saudi deal
Nvidia announced a major partnership with Humain in May. The AI firm is controlled by Saudi Arabia's Public Investment Fund.
The deal involves Humain purchasing advanced semiconductors from Nvidia to create AI infrastructure in the nation. In the first phase of the project, Nvidia will send 18,000 GB300 Frace Blackwell AI supercomputer chips, the firm said in a statement.
That partnership came shortly after Saudi Arabia pledged to invest $600 billion in various US industries, including AI and infrastructure.
"Those 'allies' want to invest here in the USA and also get a hold of a TON of Nvidia chips for domestic AI factories. For Nvidia shareholders, it would seem that this repeal is great news and that the administration is reigniting the 'Sovereign Thesis,'" analysts at Melius Research wrote in a note last month.
Earnings calm jittery investors
Nvidia's first-quarter results were once again strong. The chipmaker reported $44.06 billion in revenue, above analysts' estimates of $43.32 billion.
Perhaps more importantly, however, Huang soothed investors who have been nervous about the impact of disruptions to business in China.
On the earnings call, the company noted that it took a hit from China, but business is still basically booming. Huang slammed export controls, but he affirmed his faith in the Trump administration.
"The president has a plan," Huang said to investors. "He has a vision, and I trust him."
Deepwater Asset Management said last week that Huang's comment suggests that the chipmaker could be in a favorable position as trade negotiations between the US and China continue.
"My best guess is Nvidia will be part of a broader trade agreement with China," analysts from the firm wrote.
No slowdown in enterprise AI spending
The AI hyperscalers like Meta Platforms and Microsoft don't appear to be pulling back on AI spending.
Tech titans like Meta, Microsoft, and Amazon have pledged to spend more than $300 billion this year on AI-related capex. Apple, meanwhile, has said it would spend $500 billion over the next four years.
"Q1 earnings from mega-cap tech companies have also reinforced AI investment visibility, with customers maintaining or increasing their 2025 capex plans," Angelo Zino, a senior equity analyst at CFRA Research, wrote in a note, adding that he believed Nvidia's growth in data centers would run on for at least the next two years.

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Getting AI-Ready In A Hybrid Data World
Getting AI-Ready In A Hybrid Data World

Forbes

time24 minutes ago

  • Forbes

Getting AI-Ready In A Hybrid Data World

Maggie Laird is the President of Pentaho, Hitachi Vantara's data software business unit. If AI is the future, then data is the terrain. And most businesses are hiking in flip-flops. We all feel the urgency. Executives know that AI has the potential to drive exponential gains in productivity, insight and market leadership. But inside most organizations, the reality looks a lot less like ChatGPT magic and more like stalled pilots, costly proof-of-concepts and growing technical debt. Gartner predicts that through 2025, 60% of AI projects will be dropped because they are 'unsupported by AI-ready data.' What's more, 63% of organizations either lack proper data management practices for AI or aren't sure whether they have them, according to Gartner. And it's not just about volume or speed. It's about trust, structure and the ability to bridge hybrid environments without losing fidelity or context. Adopting AI today is a lot like installing a high-performance kitchen in a house with faulty wiring and sagging floors: flashy, expensive and ultimately unsafe. That's because AI doesn't magically fix data problems—it amplifies them. Many of the core data challenges that AI surfaces are issues companies have faced for years. Most businesses have data scattered across multiple environments: in the cloud, on-premises or a mix of both. Take customer retention. A company may have six streams of data tied to improving it. Some of the data is structured in columns and rows. But other critical data is unstructured—buried in email, PDFs or training videos. Most companies have mountains of unstructured data that hasn't been labeled, making it inaccessible to AI or incompatible with structured data. If a company wants AI to detect customer retention issues or trends, it needs all the relevant data to build an accurate picture. Without it, insights are skewed and incomplete—and the resulting decisions may be wrong. Imagine setting an AI agent loose to fix customer retention problems without reliable data. Who knows what could happen? Air Canada, for example, was recently found liable for a chatbot that gave a passenger incorrect information. The airline argued that it shouldn't be held responsible for what the chatbot said, but the court disagreed. The bar has been raised. 'Good enough' is no longer acceptable. AI is often designed to operate without humans in the loop, which means errors can go undetected. To get the right and best results from AI, organizations need a strong data foundation—what I call 'data fitness.' Here are four key indicators that your organization is data-ready for AI: Most organizations don't. Data lives in the cloud, on-prem servers, Slack threads, old Excel files and more. Being data-fit means you've cataloged what matters, labeled what's useful and can locate the most current version of any given asset—structured or unstructured. Your platform should connect across hybrid environments without needing to copy or move the data. To streamline this, start by clearly defining the AI use case. That makes it easier to identify what data to inventory. AI shifts decision-making to more people who don't have 'data' in their job titles. An analyst might know to exclude 'test region X' or adjust for seasonal bias in a report. Your AI agent won't. Neither will the product manager using a low-code interface to generate pricing suggestions. If your data isn't clean, governed and context-aware, you risk making high-speed, AI-driven decisions based on flawed inputs. That's not just bad insights—it's a serious risk. Different problems require different speeds. Historical data might be enough to plan next quarter's staffing, but real-time data could be essential for adjusting a flash sale or spotting inventory shortfalls. AI-ready platforms must operate across batch, real time and streaming—sometimes all within the same use case. Getting data-fit isn't just about cleaning up for the sake of it. It's about knowing which AI use cases matter, which data is needed and how much effort it will take to make that data usable. Sometimes, the return isn't worth it. That's okay—clarity saves time. But in many cases, once the investment is made, follow-on projects accelerate. Readiness compounds. Future efforts don't start from zero. AI isn't a tech project any longer, it's a business imperative. But without a solid data foundation, the tools don't matter. A home kitchen remodel inevitably involves hard, messy work—so does good data management. AI just makes it more urgent than ever. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?

AMD Acquires Another Company To Expand AI Arsenal
AMD Acquires Another Company To Expand AI Arsenal

Yahoo

time25 minutes ago

  • Yahoo

AMD Acquires Another Company To Expand AI Arsenal

Advanced Micro Devices, Inc (NASDAQ:AMD) on Wednesday announced the acquisition of Brium, a team of compiler and AI software experts with deep expertise in machine learning, AI inference, and performance optimization. The financial terms of the transaction remain undisclosed. Brium brings advanced software capabilities that strengthen AMD's ability to deliver highly optimized AI solutions across the entire stack. Their work in compiler technology, model execution frameworks, and end-to-end AI inference optimization will play a key role in enhancing the efficiency and flexibility of AMD's AI acquisition marks the latest in a series of targeted investments, following AMD's acquisitions of Silo AI, and Mipsology, that boosts its ability to support the open-source software ecosystem and deliver optimized performance on its hardware. Last week, AMD announced the acquisition of Enosemi, a move to accelerate co-packaged optics innovation for AI systems. The financial terms of the deal remain undisclosed. AMD held $6.06 billion in cash and equivalents as of March 29, 2025. AMD stock plunged 29% in the last 12 months as it grappled with intensifying rivalry from Nvidia Corp (NASDAQ:NVDA), a cooling tech rally, and the Trump administration's tariff policies. AMD reported first-quarter revenue of $7.44 billion, up 36%, beating analyst estimates of $7.13 billion. The chipmaker reported first-quarter adjusted earnings of 96 cents per share, beating analyst estimates of 94 cents per share. AMD expects second-quarter revenue of approximately $7.4 billion, plus or minus $300 million. Analysts are currently forecasting second-quarter revenue of $7.24 billion. Price Action: AMD stock is trading higher by 0.42% to $119.08 premarket at last check Thursday. Read Next:Photo by jamesonwu1972 via Shutterstock Up Next: Transform your trading with Benzinga Edge's one-of-a-kind market trade ideas and tools. Click now to access unique insights that can set you ahead in today's competitive market. Get the latest stock analysis from Benzinga? ADVANCED MICRO DEVICES (AMD): Free Stock Analysis Report This article AMD Acquires Another Company To Expand AI Arsenal originally appeared on © 2025 Benzinga does not provide investment advice. All rights reserved. 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

Mixus AI Agent Tool Includes Human Intervention
Mixus AI Agent Tool Includes Human Intervention

Forbes

time25 minutes ago

  • Forbes

Mixus AI Agent Tool Includes Human Intervention

is a collaborative artificial intelligence platform that incorporate human participation to ... More help ensure accuracy of results. In the world of artificial intelligence, when the technology spits out inaccurate information, instead of calling it what it is, a screw up, the industry invented a softer euphemism—hallucination. Those hallucinations have the potential of causing physical or financial harm, or at the least, a major embarrassment. But a months-old startup called has added a very analog backstop to catching errors before they do any harm—the human brain. Indeed, its name is a portmanteau of mix and us, meaning blending artificial with human intelligence to help ensure accuracy. The simple explanation is when a user makes an AI query, in addition to a AI-generated response also recommends people who have expertise, experience or knowledge on the specific topic. The user can then add those recommended people into their chat and converse with them and AI together. Building on that original model, has now added an even more powerful tool it calls 'colleague in the loop' AI agents, which can conduct a vast array of tasks such as generating social media posts, emails or lists, to name a few. The twist is, the content goes nowhere until trusted human beings in a user's network act as editors and fact-checkers. co-creators Shai Magzimof (left) and Elliot Katz. 'By bringing colleagues into the loop, you get the full power of AI agents, the efficiency and the time savings, etc, without the any of that downside risk of AI mistakes going undetected,' explained Elliot Katz, who co-founded with Shai Magzimof. Creating AI agents on mixus does not require any sort of coding or programming knowledge, just the ability to read and write. 'The beauty of this is someone who's never used AI, someone who doesn't even know what an AI agent is, you can create, can build and use agents on mixus,' declared Katz, in an interview. In the video below, Katz demonstrates how a colleague in the loop AI agent is created in mixus. There's no shortage of examples of the volume of AI hallucinations causing companies and individuals to swoon from their effects. A report released in April by OpenAI, which operates the popular ChatGPT platform, revealed its o3 model hallucinated over 50% of the time, meaning every other answer was incorrect. And OpenAI's o4-mini model performed even worse: nearly four out of five responses were wrong, meaning it fabricated answers nearly 80% of the time. A very recent example occurred just last month when a summer reading list written by a syndicated freelance writer using AI appeared in such major market newspapers as the Chicago Sun-Times and Philadelphia Inquirer. As reported in the Sun-Times, the writer admitted he never double-checked the results of his AI search which was incredibly unfortunate because several of the book titles in the list never actually existed, making the AI-generated summaries equally false. Katz contends it's an example of a situation that could have been prevented by use of the colleague in the loop system. 'They could be using mixus, and they could have rules that are brought out through mixus, that say, before you publish anything, you have to have your editor or a colleague or multiple colleagues press that verify button, meaning they've actually reviewed they know that what the AI put out is real and not total slop, etc,' Katz said. Investors are backing the playbook. The company just closed its $2.6 million pre-seed funding round which included participation by Liquid 2, former NFL star quarterback Joe Montana's venture capital firm. Access to is by subscription. The company offers a free, 14-day trial to individuals using a business or personal email address. After that period, anyone who wants to continue as a user will need to contact mixus for 'custom pricing,' according to Katz. Since launching late last year, has changed its business model from B to C, targeting consumers, to now targeting businesses, for which, errors can be more consequential according to Katz. That doesn't mean individuals who are self-employed or are freelancers can't sign up. They just can't do so alone. It's all based on maintaining the collaborative nature of the site. 'You have to sign up with four other people, because that's key. We want colleagues in the loop,' said Katz. 'We are working with businesses that want to deploy AI in an AI agents in a way that they don't have to deal with these undetected AI mistakes.' You can listen or watch the entire interview with Elliot Katz and an extended demonstration of the colleague in the loop AI agent creation tool in the author's podcast Tales From the Beat.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into the world of global news and events? Download our app today from your preferred app store and start exploring.
app-storeplay-store