Decentralized AI has been hailed as the future, offering a world where data privacy, autonomy, and real-time performance are no longer trade-offs but built-in features. But as we peel back the layers of excitement, it’s clear that the path to fully decentralized intelligence isn’t without its hurdles.
While the promise of local AI and decentralized systems is electrifying, the real-world deployment is facing a few speed bumps – technical, structural, and sometimes philosophical.
Here’s a look through the critical lens of what’s holding back the mass adoption of decentralized AI today.
