Almost two-thirds of fund managers permit some level of “nuclear exposure,” with 34% allowing investments in nuclear weaponry, according to Jefferies Financial Group Inc.’s fourth-annual ESG and defense survey.

The White House’s decision to take a 9.9% stake in Intel Corp. is looking like very shrewd business indeed. Since the government bought in at $20.47 a share last August, the American chipmaker’s surging stock price has delivered the US a $43 billion return.

The SpaceX initial public offering prospectus is more than 400 pages of rocket fuel-grade ambition. It is also an extended warning for investors in Tesla Inc. who aren’t named Elon Musk.

The 2026 tax season is barely in the rearview mirror, but for advisors and their clients, this is when the real work begins. Right after filing, everything is still fresh. Clients remember what surprised them, what felt off, and where they may have missed opportunities. That awareness doesn’t last long.

Those driven to give to the point of harming themselves may be acting less from generosity than from deeply ingrained obligation, guilt, and fear. Helping clients navigate these conflicts requires compassion and a willingness to help them explore the emotional complexity of their money decisions.

Quantinuum Inc., a quantum computing company backed by Honeywell International Inc., is seeking to raise $1.05 billion in its US initial public offering, capitalizing on investor enthusiasm for the technology.

Prudential Financial Inc.’s asset-management arm has financed about $4 billion of land-banking projects through a partnership with Domain Real Estate Partners, part of a push to gain exposure to the US homebuilding industry.

As Kevin Warsh takes the helm at the Federal Reserve, bond investors are betting he’ll prioritize the central bank’s inflation-fighting credibility over President Donald Trump’s push for lower interest rates.

It’s been more than three years since Silicon Valley Bank lost a quarter of its deposits in a day, kicking off a string of bank rescues. The shocking speed of that run was attributed, in part, to the rapid spread of information on social media and the efficiency of digital banking.

I’ve lost count of the praise heaped on US hedge funds for their “historic performance” in April on artificial intelligence-related bets and alleged foresight of a ceasefire in the Iran war.

As more individuals turn to non-traditional financial advice — offered through social media, artificial intelligence, or other online services and platforms — advisors will be tasked with fostering a greater sense of trust with the public.

Elon Musk has bucked the trend of industrial conglomerate breakups, including such illustrious companies as General Electric and Honeywell International Inc., and decided to form a somewhat unwieldy company that makes rockets, spacecraft, satellites, antennas, modems and now computer chips. With SpaceX’s purchase of Musk’s xAI in February, the world’s leading space company was married to an AI startup and the X social media platform.

While US financial markets brace for what could be the three biggest initial public offerings ever, most entrepreneurship in the US is headed in the opposite direction: New businesses are shrinking.

There is a growing risk of economic overheating in the US as the artificial intelligence boom expands beyond semiconductors and spills into the broader economy — never mind the tame wage growth and house prices that would typically point in the opposite direction.

The average size of a single-family house built in the 1960s was about 1,500 square feet, and homes within multifamily units were about 800 square feet. Now those figures are more than 2,000 square feet and more than 1,200 square feet, respectively.

We separate this article into two parts. Part one is the optimistic case: an AI-induced, productivity-led economic boom in which the benefits spread quickly to society. Part two will address a more bearish outlook: the possibility of a large gap in the distribution of AI's productivity benefits, accruing to corporations much more quickly than to employees.

The U.S. stock market is extremely expensive. In the past, stock markets have not remained expensive for long. Is it because of artificial intelligence? Perhaps, but a similar argument was made during the dot-com bubble.

Vanguard’s Total World Stock ETF (ticker VT) is an elegant product: a single fund that gives you cap-weighted exposure to the entire global equity market. For investors who want simplicity, it’s hard to beat. But is simplicity costing you money?

Put succinctly, the world today requires substantially more electricity than only a few years ago. AI, electrification, reshored manufacturing, and population growth in the developing world are converging into a demand curve that the existing global power system simply cannot meet.

Private credit managers are increasingly turning to the once-unthinkable: Trading in and out of loans to dump troubled assets and hunt for bargains amid the industry’s first stress test after years of breakneck growth.

US stocks advanced as investors struck an upbeat tone ahead of a long holiday weekend, with optimism fueled by hopes for resolution of hostilities in the Middle East, resilient economic data and relentless enthusiasm for artificial intelligence-linked trades.

Hedge funds have been selling the scorching rally in US semiconductor stocks to book profits, while keeping their overall exposure to the AI theme, according to traders at Goldman Sachs Group Inc.

Even if armchair investors are fleeing private credit or panicking that their unlisted shares in Anthropic PBC are now invalid, the long-term trend is clear: Public markets keep losing ground to private funds.

At first glance, the retreat of foreign asset managers is ominous. Signs of a domestic retail frenzy are everywhere. Cash deposits in local brokerage accounts have reached 137 trillion won ($91 billion), a two-third jump from six months ago.

There’s a whiff of panic among investors these days. US Treasury yields have climbed to levels unseen in more than a year at the same time as a furious rally has left stocks near all-time highs. Surely, both moves can’t coexist for long, goes the narrative.

Wall Street is racing to turn computing power into a tradable commodity with the first ETFs being filed even before the futures contracts they would track have started to trade.

Nvidia Corp., facing more investor skepticism, used its latest quarterly report to tout progress in diversifying the company, which aims to rely less on the giant data center operators that have fueled its runaway growth.

Najimah Roberson, a lifelong renter, spent the past two years searching around Harrisburg, Pennsylvania, for a home she could afford — getting outbid nearly 30 times along the way.

Reassessing legacy systems through a modern lens can help firms identify where closed, context-aware platforms may offer a stronger foundation for communication governance, operational efficiency and regulatory confidence. Open AI models helped kickstart automation in compliance. Closed platforms will likely make it sustainable.