The failure statistics are everywhere and the fearmongering is rife. What they actually mean for small and medium creative businesses is an entirely different conversation, and one we're keen to keep driving.

Over 11,500 people and organisations told the UK government what they thought about letting AI companies train on copyrighted work without permission. Three percent of them were in favour. Yesterday, the government confirmed it had got the message.

Nvidia has shaped creative production for decades through the hardware that runs it. Nemotron 3 Super is their move into the model layer - and creative teams deserve an honest account of what it can actually do. We ran it through seven standardised tasks to find out.

A plain-English breakdown of GPT-5.4 for creative teams across film, theatre, publishing, advertising and beyond. What's improved, what's useful, and where the limits are.

Perplexity Computer completed a full competitive research, brand strategy, and design system build in before most of our morning coffees had kicked in. Before you get excited, here is what that actually means, and what it does not.

AI accelerates existing workflow mess because it amplifies whatever systems you already have. If processes are unclear, briefs are messy, or approvals are slow, AI just helps you create more work, faster, with the same bottlenecks. Fixing foundations matters more than adding another tool.

AI is stripping away many of the small, repetitive tasks where junior creatives used to learn by doing. When assistants no longer write first drafts, build decks, or cut down long scripts, they lose chances to practise judgement in low-risk environments. To keep craft alive, leaders need to design new apprenticeship paths on purpose, not hope they emerge by accident.

Put 11 different AI systems in front of the same brief and you do not get one clear view of the future, you get 11 different forecasts with their own tone, priorities, and blind spots. That spread tells you more about how the tools are built and trained than it does about what will really happen. For creative leaders, the value is not in believing any one prediction, but in seeing the patterns they share.

UK Creative SMEs are challenged by an AI policy gap where complex licensing and outdated skills frameworks collide, forcing a governance deficit. This reality of legal risk and unsupported self-teaching hinders confident AI investment, especially for a human-first approach.

The EU just published its Apply AI Strategy, mobilising €1 billion to move from AI regulation to AI deployment. For UK and European creative businesses, this creates a window. But access to tools doesn't solve the adoption problem. We examine the gap between policy intent and operational reality, and what it means for your organisation.

Big Tech’s AI rollouts have shown how fast trust can vanish, and how costly that loss can be. Smaller creative teams have an edge: real relationships and agility. Here’s how to turn that into your advantage.