Companies are looking into the ways in which AI can reduce humanity’s impact on areas such as agriculture, healthcare and environmental conservation

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.

DeepSeek is not a one-off. Since the middle of last year, Chinese tech companies such as Alibaba, Tencent, ByteDance, Moonshot and 01.ai have been steadily narrowing the gap with US peers, matching their capabilities and surpassing them in cost efficiency.

Good morning. Donald Trump had a busy first full day back in the Oval Office, as the US president kicked off massive shifts in the country’s economic infrastructure. Here are the key changes.

With artificial intelligence (AI) technology, business teams can reset the boundaries for what’s possible. Consider a luxury seafood company based in Nova Scotia that has significantly increased its catch using AI-driven analysis of marine territories and species.

ByteDance is placing a big bet on artificial intelligence (AI) infrastructure as the TikTok parent plans to spend more than $12 billion on AI in 2025, the Financial Times reported on Tuesday, citing sources.

Universities are the cornerstone of the country’s reputation as a global research hub but the business model is in crisis

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.”

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.

The rapid development of AI systems over the past two years has stretched American infrastructure, with data centres emerging as a particular bottleneck. Cutting-edge chatbots such as OpenAI’s ChatGPT, Google’s Gemini and Anthropic’s Claude require enormous amounts of data and computing power to train and run.

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.