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My pick isn't the market's hottest AI name -- and that's the point.

Wall Street's biggest banks are split on two AI chip stocks. Here's why they're backing Marvell Technology while remaining cautious on Intel.

Low valuations and rapid revenue growth leave room for these stocks to double.

Want to diversify beyond U.S. stocks? This international ETF has low costs, impressive diversification, and a strong recent track record.

A look at what a decade of patience in the social media giant actually paid.

Goldman Sachs just released a SpaceX forecast so staggering it borders on science fiction, and buried inside its assumptions is a quiet argument for one semiconductor company that keeps the entire AI industry running.

Investors should regularly assess market positioning and develop a plan.

An expanding AI platform makes the $400 billion market cap case compelling, but Palantir investors still need to watch the risks.

These under-the-radar consumer goods stocks prove that you can get reliable dividend income from companies that aren't the biggest names.

Is Celsius' sell-off a buying opportunity, or are Coca-Cola and PepsiCo the smarter investment? Here's what to look for between the beverage giants for the second half of 2026.

The price is down, the macro picture is shaky, and there's something else going on, too.

The Vanguard High Dividend Yield ETF could be a fine shelter-from-the-storm play if another big market crash materializes.

Multiple signs point to possible trouble ahead for the stock market.

Having the right temperament is perhaps the most critical skill for investing success.

Corporate America is pouring billions into AI while a prominent venture capitalist warns the productivity math simply does not add up, and CFOs are starting to ask the questions no one in the industry wants to answer.

Investing.com -- NVIDIA told investors that its AI infrastructure roadmap remains on track, demand across customer segments remains strong, and future generations of its data-center products will offer significant gains in energy efficiency.

For equity investors looking to mitigate risk, the Vanguard U.S. Minimum Volatility ETF is a hidden gem in the issuer's vaunted stable.

Tech giants increasingly believe they can save on AI costs by designing their own processors.

When comparing dividend growth stocks with high-yield stocks, one factor sets the two apart.

NVIDIA Corporation (NASDAQ:NVDA) is one of the 10 Best Stocks to Buy in 2026 According to Billionaire D.E. Shaw. 2026 hasn’t been kind to AI GPU giant NVIDIA Corporation (NASDAQ:NVDA)’s shares, as they are up by a modest 9.6% year-to-date. With the shares currently trading around the $207 mark, Bank of America discussed the firm […]

Nvidia's price-to-earnings (P/E) multiple is the lowest it's been in seven years.

One cloud computing stock stands out among the group.

When Perplexity chose silicon for its AI coding stack, the decision exposed a fault line running beneath two blockbuster earnings reports and raised a question neither company wants asked out loud: is the CPU market already decided?

Gilead's expansion beyond HIV therapies will surprise many investors.

AI spending has grown so massive it now drives a historic share of U.S. economic output, and that concentration is creating a risk most investors have not priced in yet.

Broadcom and Marvell are both riding the custom AI chip boom, but one offers faster growth while the other may be the better value for long-term investors.

No forward-looking guidance is necessary when Warsh and the Federal Open Market Committee (FOMC) are providing decisive claims like this.

AST SpaceMobile's biggest opportunity may be unfolding right now, but investors should understand both the enormous upside and the very real risks.

AI data centers are hitting a bandwidth wall, and the companies supplying the glass to break through it are posting revenue growth that copper simply cannot match. Five optical chip names are quietly stacking the picks and shovels before the next round of hyperscaler spending hits.

ASML's lithography machines are needed to manufacture advanced logic and memory chips for AI workflows.