I’ll be honest — I used to think adoption was the hardest thing for AI projects.
Get enough users.
Get enough developers.
Keep growing.
That seemed like the challenge.
Now I think retention might be harder.
Because trying a product is easy.
Building around it is difficult.
And in AI, the difference matters.
People can switch models overnight.
They can switch tools overnight.
They can switch interfaces overnight.
But once workflows, integrations, and habits form around a system, switching becomes expensive.
That’s where I think real value starts to emerge.
Not when people use something.
When they stop wanting to replace it.
That’s partly why I keep watching $GENIUS .
Not because adoption doesn’t matter.
Of course it does.
But in a market where alternatives appear every week, staying relevant may be more important than getting attention.
Anyone can attract users.
The harder challenge is becoming part of how they operate.