Will AI replace your job? Start with tasks, not titles
A practical way to assess AI exposure at work, understand the evidence, and identify useful skills without relying on job-loss predictions.
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9 explainers
Who benefits from AI productivity gains?
Faster work does not automatically mean higher pay. Understand how AI gains can reach workers, customers, business owners and technology suppliers.
What skills should you learn in the AI age?
A practical learning approach built around subject knowledge, evidence checking, problem framing and using AI without outsourcing understanding.
Deepfakes and trust: verify the claim, not just the pixels
A practical guide to checking synthetic media, voice impersonation and misleading context without treating an AI detector as a verdict.
What is AGI, and what would count as evidence?
Understand artificial general intelligence by separating capability, breadth, reliability and autonomy—and keeping predictions distinct from demonstrations.
AI chatbot privacy: what to check before you share
A practical framework for deciding what information an AI service needs, which account controls to check, and when to use an approved alternative.
How to check AI answers before you rely on them
A practical workflow for checking AI-generated claims, citations and calculations, with a worked example and a reusable verification record.
How to use AI for studying without skipping the learning
Build an AI study session around your own attempts, targeted hints and an independent check of what you can explain without assistance.
Will AI change your work? Start with a task audit
Map a normal working week, identify where AI might help, and compare total time and quality in a small, permitted trial.
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