According to Tech Digest, India’s Tata Motors has revealed the Jaguar Land Rover cyberattack cost them around £1.8 billion ($2.35 billion) with £196 million in direct costs and revenue dropping from £6.5 billion to £4.9 billion year-over-year. The National Hurricane Center used Google’s DeepMind AI for the first time in June, enabling meteorologist Philippe Papin to accurately predict Tropical Storm Melissa would become a category 4 hurricane within 24 hours. Sky Sports scrapped its female-focused TikTok channel “Halo” just days after launch following widespread backlash describing it as “patronising” and “sexist.” Meanwhile, Microsoft’s Windows chief faced such intense criticism over plans for an “agentic OS” that he had to disable replies on his social media post.
The real cost of getting hacked
That Jaguar Land Rover hack is turning into one of the most expensive cybersecurity incidents in automotive history. We’re talking about a $2.4 billion hit – that’s not just some theoretical number. The company literally saw revenue drop by nearly a quarter billion dollars directly because of this. And here’s the thing: it would have been even worse if not for sales growth in India propping things up. Makes you wonder how many other manufacturers are sweating right now looking at their own security setups. When industrial systems get compromised, the financial damage extends far beyond just IT recovery costs – we’re talking production shutdowns, missed deliveries, and shattered customer confidence.
AI is changing everything, even weather
Now this hurricane forecasting story is genuinely fascinating. The National Hurricane Center had never issued such a bold rapid-strengthening prediction before, but Google’s DeepMind gave them the confidence to call it. Think about that – we’re at the point where AI is outperforming decades of human expertise in predicting natural disasters. This could literally save lives when you can accurately forecast a storm intensifying from tropical storm to category 4 hurricane in just 24 hours. But it also raises questions about where else AI might start making critical decisions that affect public safety.
When tech good intentions go wrong
Both the Sky Sports and Microsoft stories show how quickly tech initiatives can backfire these days. Sky Sports thought they were being “inclusive” with their female-focused TikTok channel, but users immediately called it patronizing and sexist. Microsoft’s Windows chief thought he was unveiling an exciting AI-powered future, but people basically said “fix the basic stuff first.” There’s a pattern here – companies are so eager to jump on the latest trends (AI, female empowerment, whatever) that they’re losing touch with what users actually want. It’s becoming increasingly difficult to introduce anything new without facing immediate backlash.
Is AI actually killing jobs now?
The Telegraph piece raises a worrying possibility – that AI might finally be having that negative employment impact everyone’s been warning about. UK payroll employment fell by 32,000 in October, marking the 10th monthly drop in a year. Starter jobs are becoming scarce, and people are starting to wonder if this is the AI effect they’ve been waiting for. After years of hearing how AI would transform everything, we might be seeing the first real economic consequences. The timing is suspicious, right as AI tools become genuinely useful in business environments. This could be the beginning of a much larger shift in how work gets done – and who gets to do it.
