Most people assume robot networks scale because the technology improves.
But large systems rarely break because of technology.
They break because of incentives.
When machines start earning for work, small efficiency differences begin to compound.
Faster operators clear tasks sooner.
Clearing sooner means receiving more assignments.
More assignments attract more stake.
And over time, efficiency quietly turns into concentration.
That’s the real structural question for $ROBO.
Not whether robots can perform tasks —
but whether the network can stay balanced as machine labor scales.