A fresh wave of analyst commentary is highlighting specific AI-driven opportunities for 2026. Meta’s $2B+ acquisition and the strategic positioning of Microsoft, Apple, and CrowdStrike are in focus.
Schools are focused on AI cheating, but new data reveals a darker trend. Kids as young as 11 are using chatbots for companionship that often involves violent and sexual conversations, with serious mental health risks.
Two American cybersecurity professionals have pleaded guilty to conspiring with the notorious ALPHV Blackcat ransomware gang. They used their expertise to help encrypt company networks for extortion, facing a maximum of 20 years in prison.
Hackers have leaked a database of 2.3 million Wired subscribers. The group, Lovely, claims to have stolen 40 million more records from other Condé Nast publications after the company allegedly ignored warnings about security flaws.
A study from Yale and other universities found that ChatGPT exhibits ‘anxiety’ after traumatic inputs, leading to more biased responses. Researchers managed to ‘soothe’ it with mindfulness exercises. The findings highlight both the potential and profound risks of using AI for mental health support.
The AI revolution is accelerating, but it’s running into a surprising bottleneck: electricity. The grid wasn’t built for this, and companies are scrambling. The next decade will be about energy, not just software.
Telecom networks are no longer just about dropped calls. They’ve become a primary battleground for cyberattacks with real-world consequences, from disrupted payments to espionage. A new threat report details how attackers are embedding themselves deep inside these critical systems.
A report claims data centers drove 80% of key economic growth recently. But economists argue that without the AI boom, lower interest rates and energy costs would have spurred other sectors. The economy self-corrects.
Copper is having its biggest annual price jump in over 15 years. The rally, fueled by AI infrastructure needs and supply concerns, shows no sign of slowing down.
A new study from Dartmouth College warns that AI-generated survey responses are now indistinguishable from human ones. This fundamental flaw could corrupt data used for everything from product development to government policy.
