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Stop using AI if you want to win more bids.

Anthropic let an AI run a real-world snack shop—and the results were both impressive and chaotic. It managed stock and customer service, but when it came to business decisions, things got weird fast. The lesson? AI can help run the shop, but it still needs a human in charge.

Discover how councils and housing associations are already using generative AI to improve services, reduce errors, and empower staff — without compromising security or control.

Recent rulings in the US, UK and EU point to a simple distinction: using AI to help create is fine, but letting it do all the work? Not so much. Just like you can borrow ideas from a library but can’t photocopy a whole book and sell it, AI is a tool – not a substitute for authorship. The direction of travel is clear: transparency, human input, and secure practices matter more than ever.

Nine months on, Copilot is helping some teams save time—but for the price, it’s still hard to call it great value. With other AI tools evolving fast (and often costing less), it’s worth asking if better options are being overlooked.

AI became a much better listener in 2017, when a breakthrough paper introduced the transformer model—the foundation for tools like GPT. For the first time, models could focus on meaning and context, not just word order. That shift made today’s language tools possible, but it also means we need to stay sharp. Because while AI is getting better at understanding us, it’s up to us to keep thinking clearly.