I’ll be honest — I used to think the biggest risk in AI was being wrong.
Backing the wrong model.
The wrong architecture.
The wrong approach.
Simple.
But the more I watch the sector, the more I think the bigger risk is being right too early.
Because AI moves through phases.
An idea can be correct…
and still fail to create value if the market isn’t ready for it.
We’ve seen this happen repeatedly in technology.
Good ideas arrive before the ecosystem exists to support them.
Then years later, someone else executes the same idea under better conditions and captures most of the value.
That’s why I’ve started paying more attention to timing than predictions.
Being correct matters.
But being correct at the right moment matters more.
That’s partly why I keep watching $GENIUS .
Not because I know exactly how the AI landscape evolves.
But because in fast-moving markets, survival often belongs to projects that stay relevant long enough for their thesis to become obvious.
And those are not always the same projects that were first to see it.