A programme airs once, gets shelved, and stops earning. That was a sensible model when broadcast was the whole business. It stopped making sense the moment audiences moved online. The

Most organisations have already put AI to work. Far fewer can show what it has added to the bottom line. That distance between adoption and return runs through the whole

The transformation was supposed to have landed by now. Budgets were signed off, licences went out across the team, and the adoption dashboards turned green. Look past the dashboards, though,

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