The bond market is showing signs of anxiety over Big Tech’s enormous AI spending plans. Companies like Meta, Alphabet, and Oracle are issuing massive debt packages despite sitting on huge cash reserves, raising concerns about overcapacity and long-term profitability.
A century-old Wisconsin manufacturer says tariffs haven’t forced major operational changes. The company’s diverse markets and U.S.-focused supply chain provide surprising resilience against trade policy headwinds.
AI systems are revealing leadership gaps across industries, from pricing disasters to compliance failures. The most valuable skill now isn’t technical fluency—it’s taking ownership of automated decisions. Boards are being forced to treat AI as enterprise risk rather than just technology.
Experts warn that capping pension salary sacrifice at £2,000 could lead employers to slash contributions. The government’s short-term revenue grab might create long-term retirement crisis.
The S&P 500 has nearly doubled in five years to 6,700, driven by the Magnificent 7 tech giants placing trillion-dollar AI bets. Meanwhile, gold, Bitcoin, and even junk bonds are soaring as if nothing can go wrong. This simultaneous optimism and fear has investors wondering if a reckoning is coming.
Major climate finance alliances are collapsing as political pressure and fossil fuel profits undermine net zero commitments. Yet pension funds are taking a harder line on climate risk, creating a divide in financial sector approaches to sustainability.
Technology consultants serving the US government are scrambling as the shutdown becomes the longest ever. Companies are drawing emergency credit lines, cutting executive pay by 20%, and putting staff on unpaid leave while losing millions daily.
With government economic data on hold due to the shutdown, corporate earnings have become the primary window into the US economy’s health. All eyes are on tech valuations and consumer demand signals. The coming week’s reports could determine whether recent market losses recover or deepen.
As companies consider replacing expensive engineers with AI coding tools, recent high-profile failures demonstrate why this approach is dangerously premature. From deleted production databases to catastrophic security breaches, the limitations of current AI coding capabilities are becoming painfully
U.S. job cuts in October reached their highest level since 2003, with AI being cited as a major driver. But are companies using artificial intelligence as a convenient scapegoat for broader restructuring?
