AI is already built into many everyday products, but it is not always obvious — and not every automated feature is AI. This challenge turns your own routine into an investigation of where AI really appears, what data it may use and where you should stay sceptical.
AI is often built into features rather than advertised as a separate tool. But not every digital feature is AI, so this challenge is about noticing and checking.
A timer can follow a fixed rule without machine learning. A recommendation system may use patterns in data to rank what you see. The difference matters.
Choose one feature from your timeline and find out what it actually does.
I can verify or carefully qualify one example of AI operating inside an everyday product.Many everyday AI features depend on signals about behaviour, content, location, preferences or previous choices.
Your finished piece should show where AI appears, where you are uncertain and how data connects to at least one AI-powered experience.
Seeing AI more clearly is useful only if it changes how you think about the technology around you.
Which everyday AI example surprised you most — or turned out not to be AI at all?
Where would you most value clearer explanation, choice or privacy controls?
What everyday AI system would you like to understand in more depth?
Use company help/documentation pages or other credible sources where possible. An approved AI research tool can help locate a source, but learners should open and verify the source itself. Use Digitize Skills Hub/App Guides for mapping, slides, video or audio creation.
