You might not know this, but no matter how well AI models perform in the lab, they often fail in real-world environments—data shows that 87% to 90% of models crash when fed unverified or inconsistent data.

Right now, TAO is gaining a lot of momentum in the AI sector, but don't forget another easily overlooked player: IOTA, which is working on the data validation layer. When AI starts penetrating areas like logistics and trade, the rules of the game change. Simply stacking computing power is no longer enough; the key is whether the information you feed to AI is reliable.

IOTA's role here is to anchor documents, identity information, and audit records, especially in cross-border systems. Computing power can make AI run fast, but only validated data can make it run correctly. That's why the data infrastructure layer is becoming increasingly important—no matter how smart the model is, feeding it the wrong data is pointless.