United Wholesale Mortgage lost out to CrossCountry Mortgage, but that could actually be a sign of fiscal prudence.
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Semiconductor stocks have dominated every performance leaderboard in 2026, with memory and equipment makers delivering triple-digit gains that dwarf the broader market. Yet the fund capturing most of that upside is not the industry's largest, and it manages a fraction of the assets held by the ...
The U.S. is truly a special, entrepreneurial oasis where anyone can succeed. The fact that one American stock, Nvidia (NVDA), is worth more than the French, German, and Italian stock markets combined says it all. I should add that Nvidia is also worth more than the entire British stock ...
Nvidia's quarterly revenue has nearly tripled over eight quarters, while AMD's has grown more modestly. Here's what the widening gap means for investors.
The chip company is pivoting to the AI market.
Several Wall Street analysts just initiated coverage of SpaceX stock.
Korean chip maker SK Hynix debuts on the Nasdaq today at $149 per ADS, in the largest-ever US listing by a foreign company.
A large international electronics company is teaming up with it for a new product.
XRP has more growth catalysts than before, but investors should still assess how much the XRP Ledger network is actually being used.
An analyst launched his coverage of the stock with an unambiguous buy recommendation.
The innovative fintech benefited from an analyst's recommendation upgrade.
The world's largest company looks like a bargain right now.
There's no better feeling for a dividend investor than peace of mind.

<body><p>STORY: :: A memo seen by Reuters shows that Meta plans to produce AI chips this September </p><p>:: The move will likely help Meta gain more independence from chip suppliers such as Nvidia</p><p>:: Katie Paul, Tech Correspondent</p><p>:: Meta / Archive</p><p>"In the world of AI, those who control their infrastructure and their compute costs really control their destiny. Meta has been at this a while. They want to have more control over their supply chain. Doing a chip helps them to get that cost of running compute down. If they buy a lot of chips from Nvidia and AMD, those are extremely expensive. It means that other companies are in the driver's seat, both in terms of cost and some control over the supply. And having some kind of chip that can help maximize efficiency of running compute, or running processes, helps them, puts them in the driver's seat more and it helps them control their costs. They're also trying to build out these brand-new business models to effectively compete with OpenAI and Anthropic. So, selling the AI models to developers to use, and that means rolling out an API, which they just did this morning. This is brand new for them. They're moving this direction for the first time after kind of embracing the open source ethos for a number of years. And so that means that they need to, try to compete on price with those other, players in the market and also keep their costs low enough that they can, you know, make this business model make sense. And so having a chip that can help them to run these processes in a way that is as cost-efficient as possible is a huge potential benefit for them."</p><p>The tech firm's data center chip, code-named "Iris," is part of a four-generation project for Meta Training and Inference Accelerators (MTIA) that it will design in-house. The plan is to use custom-built silicon to improve the AI that powers its Facebook and Instagram social media platforms.</p><p>Testing the chip took only six weeks and found no major issues, the memo showed. That relatively quick progress signals positive momentum for an in-house effort that has floundered since its launch more than half a decade ago.</p><p>Meta tailored the chip for its own needs and is working with Broadcom to help design it and Taiwan Semiconductor Manufacturing Co to manufacture it. The approach is likely to help the firm lower its massive computing costs and gain more independence from chip suppliers such as Nvidia and Advanced Micro Devices.</p></body>
This, despite naming a well-qualified executive to be its next CEO.
Nvidia (NVDA) investors had been bracing for a tougher AI trade, but perhaps not this kind of reset. Over the past three years or so, Wall Street has treated Nvidia as the cleanest way to own the AI buildout. For perspective, Nvidia’s current market cap is at an eye-popping $4.98 trillion, up from ...
Asking for a Trend Host Josh Lipton previews several of the biggest stories to come tomorrow, Friday, July 10, including SK Hynix (000660.KS) making its debut on the Nasdaq, Delta Air Lines (DAL) earnings, monthly sales results from Taiwan Semiconductor Manufacturing Co. (TSM), and the pending approval of Congress' housing affordability bill.
Don't underestimate Ted Weschler's role in the post-Buffett era.
The company also topped analyst estimates, but that clearly wasn't good enough for Mr. Market.
Forget the AI benchmark battles. Here's why Alphabet's unmatched distribution could make it the better long-term AI investment over Meta.
Micron's growing list of long-term supply agreements could make its business more predictable and give investors an early read on future demand ahead of earnings.
With AI-related demand booming, the chipmaker is taking smart steps to strengthen its manufacturing capabilities.
The AI ROI debate has returned and the numbers are even bigger, as are, perhaps, the consequences.
These tech titans took their partnership to the next level. It's a win for shareholders.
Pipeline stocks remains a top pick for income investors.
Buying lots of small-cap stocks could be a better bet than the "Magnificent Seven."
The digital bank is growing fast and leaning into AI.
A number of stocks jumped in the afternoon session after semiconductor stocks rebounded amid dip buying following a recent selloff, as reports revealed that China may ease restrictions on advanced Nvidia AI chip imports.