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
OpenAI is looking for a new Head of Preparedness to anticipate AI model harms, a role paying $555,000 plus equity. This comes after a year of lawsuits and internal safety team shakeups. CEO Sam Altman calls it a “critical role at an important time.”
2025 was a year of stark contrasts in tech. While companies like Microsoft committed billions to AI infrastructure, a brutal reality emerged: widespread layoffs and a stunning 95% failure rate for generative AI projects. The Seattle tech scene grappled with these shifts while questioning its own ide
The decision for enterprise voice AI is no longer just about which model is smartest. It’s a strategic architectural choice between cheap, fast “native” systems and slower, but auditable, modular stacks. A new “unified” approach is trying to bridge the gap.
Most retail and CPG companies are running AI pilots but failing to capture real value. The problem isn’t the tech, it’s the operating system. Winning in 2026 requires a fundamental shift in approach.
Researchers at Princeton have made a breakthrough in green hydrogen production by using treated wastewater. The method could slash costs and turn a waste problem into a clean energy solution. But is it really the holy grail?
Google has rushed out an urgent update for Pixel phones enrolled in the Android 16 beta program. The fix addresses a critical bug from a recent patch that was causing apps to crash on startup. This impacts a wide range of devices, from the Pixel 6 all the way to the latest Pixel 10 models.
To launch in China, Apple’s AI must pass a strict government test. It has to refuse to answer at least 95% of 2,000 sensitive prompts. This reveals the immense control exerted over foreign tech.
AI coding agents from OpenAI, Anthropic, and Google are powerful but problematic. They work by orchestrating multiple LLMs, but face huge “context” limits and can burn through tokens 15x faster than a chat. Understanding their architecture is key to using them without creating a mess.
Amazon is scrambling to adapt as AI agents from OpenAI, Google, and others change how people shop. The company is now hiring a leader to forge partnerships in this new “agentic commerce” space, a market McKinsey says could be worth $1 trillion by 2030.
