Problem Statement

This section explains why today’s blockchains fail to support AI systems, and the gaps GrantChain is built to solve.

❌ Where Blockchain and AI Break Down

AI is everywhere — in search, social, finance, and now Web3. But when it comes to blockchain, AI still operates off-chain, unverified, and disconnected.

Here’s what’s broken:

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1. No Native AI Execution

Blockchains can’t run AI models directly. Developers rely on off-chain compute (e.g. AWS, HuggingFace) and then push results back on-chain — opening the door to latency, trust issues, and unverifiable inference.

If a model said “approve the trade,” how do you know it actually did?

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2. High Barriers to AI Deployment

Training and hosting models requires expensive infrastructure, GPU clusters, or cloud credits — inaccessible to most independent developers and protocol teams.

Blockchains should lower the barrier to entry. AI infra currently raises it.

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3. No Model Monetization Layer

There’s no economic system on-chain where developers can publish AI models, serve them via APIs, and get paid per execution — like OpenAI, but decentralized.

Why can’t smart contracts pay models like they pay oracles?

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4. No Native Agent Framework

Smart contracts are static. Agents are dynamic. Blockchains lack native support for autonomous AI agents that act independently, coordinate with others, and evolve by learning or upgrading their models.

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GrantChain was built to solve all of this — natively, transparently, and on-chain.