As many as 57 per cent of executives surveyed by BCG said they would hire fewer people in 2025 as a result of the reforms. The poll of leaders at 251 UK businesses with more than 50 employees each found that investing in AI was a priority for 44 per cent of respondents this year.

Many can struggle to responsibly implement third-party and open-source models while trying to maintain performance, explainability and return on investment – particularly when the training data underlying these models seems to remain opaque.

According to Stasenko, the choice to go open-source for her company’s AI development couldn’t have been clearer. “For us, this was not only a moral argument but also a commercial one,” she says. “You need to better understand models’ behaviour in use cases. You need to be sure of the biases that could come from the training corpus.”

Digital garden planning programmes can be useful tools, but they can’t replace human imagination, experience — and the instinct to go rogue

“CFOs are realising how expensive this can be,” says Manish Goyal, Vice President and Senior Partner of AI and Analytics at IBM Consulting. “Over the past 18 months, we’ve seen a lot of experimentation. Experimentation is good but, when it’s not directed experimentation, teams can end up doing some of the same stuff, which can be wasteful.”

Deloitte developed and deployed its own GenAI platform, PairD, to tens of thousands of employees across Europe, which acts as a “virtual AI helper” for its workforce. Its ease of adoption, carefully designed guardrails and user-friendly interface led to rapid scaling.

Make no mistake — these reforms are already beginning to bear fruit. On Monday alone, Vantage Data Centers confirmed it will invest more than £12bn in new data centres across the country, including building one of Europe’s largest data centres in Wales. That should create 11,500 jobs in AI and construction. And it’s a sign of things to come.

Amazon is gearing up to relaunch its Alexa voice-powered digital assistant as an artificial intelligence “agent” that can complete practical tasks, as the tech group races to resolve the challenges that have dogged the system’s AI overhaul.

AI helps you dive deep into financial data, uncovering hidden patterns ... predict cash crunches and even suggest optimal times for major purchases or investments. • Profit Margin: AI can ...

Few industries appear to have more potential for disruption by artificial intelligence than the law. Like games such as Go, which DeepMind took on to demonstrate the power of neural networks, legal systems have sets of rules and precedents. Give an AI model enough data and it can pass its bar examination.

The companies presented the deal as a means of ensuring Mistral’s chatbot is grounded in verifiable information. It comes as Meta and Elon Musk’s X have pulled back on content moderation and declared the primacy of “free speech”, in the run-up to incoming US president Donald Trump’s inauguration.

Huawei is working on gaining a large part of the AI market in China, which is currently led by Nvidia. It offers local companies the ability to use their AI chips for “inference” tasks. To “train” LLMs,