Recently, some voices in the venture capital circle have been discussing an interesting topic—despite OpenAI's exceptional capabilities in general AI, certain vertical AI applications can still find a niche. These include mental health AI that requires deep humanistic care, professional tools for artistic creation, and industry solutions that are more sensitive to regulation.

From the perspective of the crypto ecosystem, there are indeed some directions worth paying attention to.

The NFT generation and art creation tools in the Solana ecosystem have core competitiveness because they can deeply understand the needs of crypto artists. While large models are powerful, truly serving this niche yet active community requires more customized thinking. The exploration of medical chain applications in the Polkadot ecosystem is also quite interesting—medical data involving privacy sensitivity often raises concerns for big tech companies, which in turn creates opportunities for specialized chains. The idea of gamified AI coaches on Avalanche, turning learning into immersive experiences, is an innovative dimension that traditional large models may not easily replicate.

Another technically interesting aspect is that Cosmos’s cross-chain solutions could become a key infrastructure for AI data flow. For AI models on different public chains to collaborate and share data, reliable cross-chain protocols are needed, opening new possibilities for cross-chain technology applications.

However, caution is still necessary—"niche" does not mean "guaranteed profit." If OpenAI decides to acquire a unicorn in a vertical field, or if regulatory policies suddenly tighten around privacy-related AI, current strategies may need to be reevaluated. The best approach is to adopt a long-term strategic layout, diversifying to hedge against risks in a single direction. Some may coordinate with data storage projects like Filecoin to balance risks, which makes logical sense.