For years, the rule in tech was simple: more data meant better systems.
Bigger datasets. More signals. More tracking.
But that advantage is starting to flatten.
Many modern systems now perform almost as well with good data as they do with vast data. The gains from collecting more are smaller than they used to be.
What's becoming scarce isn't information. It's clean intent.
When systems are trained on everything, they often understand less clearly. Noise creeps in. Edges blur.
The next advantage won't come from owning the most data — but from knowing which data actually matters.
In a world overflowing with information, selection becomes more valuable than collection.
That's the shift worth noticing.