For most of 2026 the EU AI Act sat on compliance roadmaps as a hard deadline: 2 August 2026, the date the bulk of its obligations were due to become

Anyone who makes content now works under a background suspicion. Even a well-crafted piece of writing gets waved away as “probably AI”, and the label drags down its perceived value

Ask a generative AI tool for a picture of a doctor and you will most likely get a man. Ask for a cashier and you will most likely get a

Most organisations already have more data than they can use and more AI tools than they can operate. The dashboards are built, and the pipelines run every night. And still,

Something uncomfortable is showing up in the latest workplace data. Employees have picked up advanced AI habits faster than the organizations they work for can absorb them. The tools are

Most AI projects look healthy the day they go live. The trouble starts later, when the shortcuts that got them shipped fast begin to cost more than they saved. Data

There’s a specific kind of anxiety spreading through organizations right now. Not the fear of AI taking over — something subtler. The feeling that everyone else is figuring out how

AI assistants are being introduced into enterprises through specific functions—sales, customer service, and internal operations—rather than as a single, general-purpose solution. Their impact is typically evaluated on concrete activities such

It usually starts the same way. You know the document exists. You’ve seen it before. Maybe it was shared in an email, or saved somewhere in a shared drive, or

Every year, HBR’s AI in the Wild study analyzes thousands of real generative AI use cases, drawing on posts and conversations from Reddit, LinkedIn, TikTok, and YouTube. This year’s sample