A lot is changing quickly in the world of AI, and non-crypto AI Agents are becoming the next big thing in technology. AI apps have made giant steps forward in the past two months thanks to fast growth and fierce competition. Using LLM APIs, Web2 OAuth, and cloud services, companies like DeepSeek and Mistral AI have pushed innovation and opened new options beyond the limits of traditional AI. The non-crypto sector is doing very well, but the crypto industry is not keeping up. AI apps focused on token prices rather than genuine innovation are still limited.
The Rise of AI Agents
In the past two months, there has been a rise in non-crypto AI Agents. This is because developers use large language models (LLMs) and add them to a wide range of apps. AI-powered agents have expanded beyond blockchain technology to areas like customer service, automation, cybersecurity, and business data. As competition in this field has grown, new modern tools and services have emerged quickly. This has made AI more straightforward and more effective for companies and individuals.
Agents of crypto AI
Even though the non-crypto space has grown a lot, AI agents in the crypto sector are still primarily interested in keeping an eye on token prices instead of making real technological progress. Cos (Yu Xian), the founder of SlowMist, recently said that making money from trading tokens is not fundamentally wrong. The business world hasn’t used AI to make significant steps forward in smart contract security, scam detection, and blockchain automation, which could completely change how crypto-related apps work.
The Future of AI Agents
There is a big difference between AI innovation inside and outside the crypto business. This raises an important question: Will crypto AI Agents go beyond financial speculation? Blockchain projects could fall behind as the AI industry speeds up if they don’t adopt fundamental AI advances. Companies like Mistral AI are leading the way in areas that aren’t crypto. The crypto world must focus on real-world uses and technological advances.
Conclusion
There is a change in AI happening now, but not everywhere at the same speed. Most crypto AI agents are still focused on token-related data, while non-crypto AI agents do well with advanced integrations and real-world uses.
