$0G makes building, deploying, and using AI agents easier than ever.

While many projects focus on one piece of the puzzle, 0G is building the entire infrastructure needed for the next generation of autonomous AI.

Why I'm keeping a close eye on this:

• Over 300 partners in the ecosystem are already building.

• Over 10,000 targeted AI agents by Q4 2026.

• Ambition for annual net revenues of $100 million.

• A trust target of $1 billion in total value locked (TVL).

• Vision for deployment in under one minute.

The biggest issue in AI today isn’t the ideas.

It's all about onboarding, deployment, privacy, and execution.

0G is solving this problem by:

→ A native modular infrastructure for artificial intelligence.

→ The chain, computing, storage, and agents all work together.

→ Reliable execution for AI agents.

→ An AI workflow focused on privacy.

→ Faster experiments for builders.

→ Paths for deployment and monetization for creators.

This is where things get interesting.

Projects like $TAO have helped push decentralized AI forward.

Projects like $FET have provided economies for independent agents.

But 0G focuses on the infrastructure layer that allows AI agents to launch, operate, monetize, and execute securely at scale.

The new 0G application removes friction in the onboarding process and gives builders a faster path from idea to deployment.

No unnecessary complexity.

No fragmented infrastructure.

Just a seamless entry point into the AI agent economy.

ERC-7857 Agentic identity and AIverse add another layer by enabling identity, deployment, ownership, and monetization standards for AI agents.

The AI agent market is still in its infancy.

The agents themselves may not be the winners.

The infrastructure could support thousands of them.

I’m keeping a close eye on 0G as it looks like one of the strongest plays in reliable AI execution, privacy-safe workflows, and growing native AI infrastructure.