NVIDIA is scrambling as Chinese demand for its H200 AI chips overwhelms supply. Orders for next year reportedly hit 2 million units, far exceeding current inventory and putting immense pressure on TSMC’s packaging capacity. This creates a massive bottleneck in the global AI chip supply chain.
New analysis from a California high school senior predicts a massive shakeup in the youth job market. The entry-level positions that dominate teen employment are precisely the ones most vulnerable to automation.
AI is fundamentally changing accounting by automating repetitive tasks. This shift lets accountants focus on analysis and strategy, leading to measurable gains in speed and report quality.
OpenAI is creating a new executive role, the Head of Preparedness, to predict and mitigate worst-case AI risks. The job pays roughly $555,000 annually plus equity and will focus on threats from cybersecurity to biosecurity. CEO Sam Altman admits the role will be “stressful.”
The initial rush to deploy generative AI is giving way to a harsh financial reality. Organizations are realizing that scaling AI brings massive, unpredictable compute costs that can blow budgets wide open.
Andrej Karpathy, a founding member of OpenAI and former Tesla AI head, says the AI coding revolution has left him feeling behind. He describes new tools as a “powerful alien” weapon that everyone is trying to figure out how to use.
To sell a $70 million, 43,000-square-foot estate, real estate agents from “Million Dollar Listing” commissioned a $25,000 AI film with knights, a dragon, and digital clones of themselves. It’s a high-stakes gamble on whether AI spectacle can find that one-in-a-million buyer.
Meta has acquired Singapore-based AI startup Manus for over $2 billion. The startup, known for its viral AI agent demo, claims millions of users and over $100 million in annual revenue. But can Meta make it work?
The biggest moves in AI this year weren’t simple acquisitions. They were sprawling, hard-to-categorize power grabs involving talent, compute, and long-term dependencies. Here’s what defined the landscape.
According to a Wall Street Journal reporter discussion, corporate AI adoption is widespread but focused on unglamorous tasks like summarizing documents and handling customer service. The real challenge isn’t the tech, but getting employees to use it and trusting so-called “agents” with real autonomy
