#gaib 1: Unlocking the liquidity of trillion-dollar assets:

AI infrastructure (such as high-performance GPU clusters and data centers) is capital-intensive, with a high investment threshold and extremely poor liquidity. Ownership is usually concentrated in the hands of a few large tech companies. GAIB's solution: Fragmenting asset ownership through tokenization, allowing investors of any size globally to purchase a small portion of AI servers or robots.

2: Creating a decentralized AI economic ecosystem:

The market for AI computing and services is dominated by centralized giants like Amazon, Google Cloud, and Microsoft, leading to monopolistic pricing power and single points of failure. GAIB's solution: Building a decentralized marketplace where AI computing power providers (which can be anyone) tokenize and lease their resources, while AI developers use AID to pay for these services. This can promote a more open and competitive market environment.

3: Injecting real-world productive assets into DeFi:

Many DeFi protocols lack connections to the real economy, and their yields often stem from Ponzi games or excessive inflation incentives. GAIB's solution: Bringing AI assets that generate actual cash flow (such as computing power leasing income and robot service income) on-chain, providing a solid real-world foundation for DeFi yields and creating 'productive returns'. #GAIB