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Over the last two years, the biggest names in technology promised that AI would replace workers, slash costs and remake how every company operates. In 2026, a quieter story is unfolding. Some of those same companies are walking back their grandest AI plans: cancelling data centre commitments, rehiring people they had replaced, and softening the bold claims they made not long ago. This article was prompted by the YouTube video "Why Tech CEOs Are Quietly Cancelling Their AI Pla

There is a worry sitting under a lot of conversations about AI at work, usually unspoken: if the software can write the email, draft the report and sketch the analysis, what is left for the experienced, expensive people who used to do that? The honest answer, backed by how this is actually playing out across function after function, is reassuring. AI is very good at producing first drafts and very poor at making the calls that matter. That combination does not shrink the valu

The loudest conversation about AI at work is the wrong one. It asks which jobs the technology will take, which sets everyone on edge and pushes businesses towards a goal that mostly disappoints: using AI to do the same work with fewer people. There is a better question, and the companies getting real value from AI are the ones asking it. Not "which employees can we replace?" but "which broken, slow, repetitive processes can we hand to a machine, so our people are free to do t

Ransomware as a Service (RaaS) is not new. What is new is how cybercriminals in 2025 are fusing generative AI with the RaaS model to make attacks more efficient, harder to detect and more scalable. This article explains how we’ve arrived at RaaS 3.0, what AI adds to extortion campaigns, and practical steps companies can take to defend themselves. What Is Ransomware-as-a-Service and How Has It Evolved? RaaS allows criminals with minimal coding skill to launch powerful ransomwa