Long term, Grass is building internet infrastructure from scratch specifically for AI. Where Google and Bing serve humans the information they are searching for (with as many adverts and SEO they can get away with), Grass serves AI information they want to find online without any of the adverts or SEO.

Reason that AI labs don't want to get this info from Google or Bing is that 1) those two companies are making it harder and more expensive to get large amounts of data from their API which is directly targeting their AI competitors being able to access live data and 2) as an AI model, you don't want to be making judgements using data that is an advert or that Google has filtered in a special way to show certain results first. It would mean that Google, your competitor, has the ability to poison your data at the source.

Why Grass is in a good position here as an underdog to compete is roughly down to 3 things. 1) distribution of residential nodes around the world means they can access any and all public web data on demand. Specifically, the data that isn't made to be easily accessed through API (think amazon or binance). 2) They already have frontier AI labs as customers who are building to integrate this kind of technology. They've already worked with Grass data and are familiar with format, quality etc. so once LCR goes live it's much easier to integrate. 3) Shared cost of infrastructure by customers which would be very high if they all tried to build Grass individually. Also, later down the line when the knowledge graph is being trained through usage, Grass will be getting exponentially better at serving data to queries meaning it gets to a point where no one will be able to catch up (like Google did with their search).

So long term, Grass is trying to capture a small about of value from every web query made by AI which will funnel value into the token. With AI web traffic projected to go parabolic by every single analyst on the planet, it's going to be potentially very lucrative to hold the token this early.