General

AI-powered cyberattacks are moving from “future risk” to “next quarter problem.” A rare warning from leading intelligence agencies signals a major shift: upcoming AI systems could make offensive hacking faster, cheaper, and easier for less-skilled attackers. That matters because the target is not just corporate infrastructure. It’s also everyday digital life: – More convincing phishing…

AI chatbots are getting better at sounding human. That does not make them human. As conversational AI becomes more natural, there’s a growing risk that people start treating these systems as friends, therapists, advisors, or trusted confidants. The problem isn’t just emotional attachment. It’s misplaced trust. These tools can be useful, even powerful. They can…

The next big AI challenge may not be building smarter models. It may be making AI visible. Europe’s new AI content labelling playbook points to a shift that every organization using generative AI should pay attention to: transparency is becoming a design requirement, not a nice-to-have. The idea is simple but powerful: people should know…

When access to advanced AI models can change overnight, it becomes more than a technical issue. It becomes a strategy question. Recent restrictions on access to newer AI models have sparked a bigger debate in India: how dependent should a country, business, or developer ecosystem be on external AI infrastructure? This is not just about…

Legal work is becoming one of AI’s most important proving grounds. A recent $30M investment into AI for in-house legal teams signals something bigger than another funding headline: enterprises are ready to move AI from “productivity experiment” to mission-critical workflow. Legal teams sit at the intersection of risk, contracts, compliance, and decision-making. They deal with…

AI’s next big leap may not be writing better emails. It may be fixing machines before humans even know they’re about to fail. A major industrial shift is underway: predictive maintenance is moving beyond “alerting” into autonomous action. Instead of simply flagging unusual sensor data, AI agents can now investigate root causes, check maintenance history,…

The era of “all-you-can-eat” AI may be ending faster than many teams expected. A major shift is happening in AI tooling: flat monthly subscriptions are giving way to usage-based pricing, where every prompt, token, review, and workflow has a measurable cost. For developers and enterprises, this changes the conversation. AI assistants are no longer just…

The next AI breakthrough may not be a bigger model. It may be better governance. As enterprises move from AI pilots to real-world deployment, the conversation is shifting from “Can this model perform?” to “Can we trust it at scale?” That means defining risk tiers, monitoring systems after launch, building human oversight into autonomous workflows,…

AI is leaving the screen, and governance is about to get much harder. For years, most AI risk discussions focused on digital harms: biased outputs, misinformation, privacy leaks, or unsafe content. But autonomous AI is now moving into warehouses, delivery routes, robots, vehicles, and physical infrastructure. That changes the stakes. When software makes a bad…

AI is moving from “can it work?” to “who is accountable when it acts?” That’s the bigger signal from Singapore’s latest push around applied AI and agentic AI governance. The focus is no longer just building smarter models. It’s about deploying AI agents safely in real environments: public services, finance, education, startups, and digital infrastructure….