As the world relies more and more on data, it’s becoming really important to know where and how Artificial Intelligence is being used. More and more people are moving away from using AI that runs mainly in the cloud.
Instead, they are choosing local and decentralized AI, which works closer to where the data is created.This isn’t just a technological preference; it’s a fundamental shift that addresses some of today’s most pressing digital challenges.
It’s About Speed That Feels Like Magic
Let’s face it—lag kills the experience. Whether it’s a self-driving car navigating traffic or your phone using AI to enhance a photo in real-time, speed matters. Traditional cloud-based AI sends your data to a remote server and waits for a response. That might be fine for email filters, but it doesn’t cut it when milliseconds count.
In 2024, researchers at Latency Labs found that AI models running locally on edge devices respond up to 85% faster than those reliant on the cloud. That’s not just a stat—it’s the difference between a flawless AR gaming experience and one that leaves you dizzy.
Privacy Without the Paranoia
Data privacy is no longer a niche concern; it’s mainstream. According to Cisco’s 2023 Privacy Benchmark Study, over 75% of consumers said they wouldn’t buy from companies they didn’t trust with their data.
With local AI, sensitive information—your voice, your health stats, your habits—stays with you. It’s not shipped off to corporate servers or repurposed for who-knows-what. And in decentralized AI systems, even when collaboration happens (like training models together), your raw data never leaves its home.
