Innovation and Disruption in the Wave of AI: Transformations from Crypto Assets to Education

In the tech world, the rapid rise of AI and robotics has temporarily overshadowed the innovation cycle of Crypto Assets. The current narrative in the Crypto Assets space focuses on stablecoins and asset tokenization, but this is essentially just moving traditional assets onto the blockchain. Competition among exchanges is becoming increasingly fierce, with giants like Binance and Coinbase battling against emerging platforms like Hyperliquid and PumpFun.

Robinhood, as a strong competitor, is bridging fintech and tokenized assets. They recently announced their strategy of "tokenizing everything" and launched new services such as cash delivery in an attempt to attract users away from traditional banks. Meanwhile, Circle is facing severe challenges - most of its revenue relies on the distribution through Coinbase, and this dependency could become a potential risk.

In the field of AI, competition is becoming more intense. Companies like Google, OpenAI, and Anthropic are actively advancing the development of AI assistants. Tools like Gemini, ChatGPT, and Claude each have their own characteristics and are reshaping the way people work. AI is significantly enhancing developer productivity, enabling non-technical personnel to quickly build applications. This could give rise to a large number of "micro unicorn" companies that solve niche problems.

AI will also profoundly change the education sector. Innovative schools like Alpha School are utilizing AI tutors to achieve personalized learning, greatly improving learning efficiency. In the healthcare field, AI health assistants may partially replace the role of primary care doctors, providing more personalized and timely health advice.

Overall, AI is reshaping the employment structure across multiple industries. Entry-level positions may be impacted, but true domain experts remain irreplaceable. Future success will depend on individual initiative and adaptability. Whether generalists or specialists, as long as they are willing to learn and adjust, they can find their place in the AI era.

For the next generation, fostering proactivity and curiosity will become crucial. Allowing children to make decisions early, take responsibility, and learn through practical projects may be the direction of future education. Whether in programming, robotics, or other fields, hands-on practice and exploration will become the core of learning.