AI Layoffs: The Problem Isn't Your Job, It's an Obsolete Skill Set

Over the past two years, a steady stream of large employers, multinationals among them, have announced job cuts while explaining that they are reorganising around AI. The headlines read as if AI is taking jobs. Look at which roles go first, though, and a more useful picture appears.

The roles that shrink are the ones built mostly on tasks a machine can now do well enough: drafting routine documents, summarising reports, first-line support, basic analysis, standard code. The company still needs that work done. It simply no longer needs a full-time person whose day consists only of those tasks.

That is why "AI is taking jobs" is the wrong frame. What AI is taking is a set of tasks, and a skill set that was valuable because those tasks were slow and scarce. When the tasks get cheap, the skill set built around them goes out of date. The person is not obsolete; the toolkit is.

The same companies that cut roles are often hiring at the same time, for people who can decide what to automate, run a process end to end with AI tools, judge the output, and answer for the result. Those are business skills: understanding how a company makes and loses money, where time leaks, and what a fix is worth.

Those skills cannot be learnt from a syllabus alone. They are learnt by working on real businesses: costing a process before and after AI, building a working tool without code, and knowing what you can and cannot delegate to an agent.

That is the premise of the AI Entrepreneurship Programme: eight weeks of guided training and four weeks of practical work on a project of your own, in Navi Mumbai, Dubai or Nairobi, in-office, at the weekend or online. It does not promise a job. It replaces an out-of-date skill set with one that lets you run, or build, a business with AI.