Target is now disclosing that an algorithm using your personal data sets prices on items like eggs and toilet paper. The notice is required by a new New York State law, but the details are murky. It’s a rare glimpse into the hidden world of dynamic, personalized pricing.
A new Fortune cover story dives into Anthropic’s business and the role of cofounder Daniela Amodei. While the AI safety-focused company projects $10 billion in revenue next year, its path to profit looks shorter than rivals, targeting 2028. Daniela’s commercial focus and cautious leadership are high
Opera is rolling out major AI upgrades powered by Google’s Gemini models to over 80 million users. The company claims the new system offers 20% faster responses and deeper contextual awareness. This move follows a 17% jump in search revenue, showing AI is becoming core to its business.
A consortium led by SMR developer Deep Atomic wants to build the nation’s first integrated nuclear-powered AI data center at Idaho National Lab. The plan involves a phased approach, starting with grid and renewable power before bringing their 60MW MK60 reactor online. If approved, it would serve as
In a stunning move, Apple has hired Amar Subramanya as its new Vice President of AI. He just joined Microsoft from Google four months ago. This comes as Apple’s current AI chief, John Giannandrea, announces his retirement for spring 2026.
Nvidia is making a massive $2 billion strategic investment in electronic design automation giant Synopsys. The partnership aims to revolutionize chip design by deeply integrating Nvidia’s CUDA, AI physics, and Omniverse platforms into Synopsys’s core engineering software.
In a major AI leadership shakeup, Apple’s John Giannandrea is retiring. The company is bringing in a former Microsoft VP to run its AI division, hinting at a more aggressive strategy.
MIT scientists have used AI to design completely new antibiotic molecules from scratch. The system generated over 29 million novel compounds in just a day or two, with at least one already clearing a drug-resistant infection in mice.
A new MIT study called “Project Iceberg” uses a massive supercomputer simulation to map AI’s impact on the US labor force. It finds current AI can handle tasks for 11.7% of workers, representing $1.2 trillion in wages, with effects spread far beyond the tech sector.
The wave of AI-driven layoffs is no longer theoretical. Major companies are explicitly linking job cuts to artificial intelligence adoption, with certain roles in the crosshairs. The trend signals a painful, accelerated shift in the white-collar workforce.
