Tech News Digest: Tuesday, 21 July 2026

Today in tech, we're looking at a landmark legal win for one of the world's leading AI players and a major security breach hitting a high-profile UK firm. We’ve also got some fascinating updates on how AI is set to change the way we pay for things and even how our films are made.

Anthropic’s landmark $1.5B copyright settlement is approved

Anthropic has officially settled its massive copyright case, marking a significant milestone in the ongoing legal battle between AI developers and content creators. While this deal provides some closure for the firm, it doesn't quite resolve the wider industry debate over whether using copyrighted works to train AI models is ethically or legally sound.

Hackers target Edinburgh-based Craneware in major data breach

UK-based tech firm Craneware has confirmed that a significant amount of customer data was stolen during a recent cyberattack. As the company provides essential software to thousands of US hospitals and pharmacies, this breach highlights the growing security risks faced by British firms operating within critical global infrastructure.

Netflix bets $587M on Ben Affleck’s AI filmmaking startup

Netflix is making a serious move into the future of cinema by acquiring InterPositive, an AI-focused production startup co-founded by Ben Affleck. This massive investment suggests that the streaming giant sees generative AI as a foundational tool for the next generation of high-end film and television production.

Natural raises $30M to reinvent payments for AI agents

A new startup called Natural is building a financial architecture specifically designed for autonomous AI agents to conduct transactions on their own. This is a crucial step for productivity, as it could eventually allow your digital assistant to book flights or pay bills without you needing to manually authorise every single step.

Google develops bespoke chip to boost Gemini’s efficiency

Alphabet is reportedly working on a custom-built chip designed to make its Gemini AI models run much more efficiently. For the average user, this should eventually translate into faster AI responses on our phones and less battery drain when using advanced machine learning features in everyday apps.

Thanks for joining us for today’s update—we’ll be back tomorrow with more from the world of tech.