For many people, AI feels like it appeared suddenly — one day not there, the next day everywhere.
In reality, it has been walking toward us for decades.
We didn’t call it AI at first.
We called it help.
Spellcheck.
Autocorrect.
Predictive text finishing our sentences.
Search engines guessing what we meant.
Translators smoothing languages into something “close enough”.
Each step was small. Often welcome. Sometimes annoying. Rarely questioned.
We corrected the corrections.
We laughed at the wrong suggestions.
We got used to the right ones.
Little by little, we accepted the idea that machines could:
- anticipate our words
- guess our intentions
- optimise our choices
- “assist” our thinking
None of this felt revolutionary. It felt practical.
That’s how most technological evolution works: not as a leap, but as a series of conveniences that quietly change the ground we’re standing on.
So when large language models suddenly began producing paragraphs rather than suggestions, many people felt surprised — even shocked. As if something entirely new had appeared.
But it hadn’t.
What changed wasn’t the direction.
It was the speed, the scale, and the visibility.
AI didn’t arrive overnight.
We simply reached the point where the accumulation became impossible to ignore.
So, how do we manage this new tool?