[Pyth: Next-Generation Financial Data Will Be Increasingly Consumed by AI and Algorithms, Token Economics Cannot Replace Real Business] Deep Tide TechFlow reports that on October 2, Pyth Network published an article stating that as the financial system gradually shifts to a machine-readable model, the primary consumers of market data will no longer be limited to human traders. The demand for structured, standardized, and low-latency financial data from APIs, trading algorithms, risk systems, and AI agents will continue to grow. Pyth is further expanding itself from a traditional oracle network into market data infrastructure designed for machines and software. Pyth stated that its business model will encompass API market data services, index infrastructure, and institutional proprietary data markets. It also emphasized that "tokens cannot replace real business." The network must first create value through data products with actual demand, collaborations with data publishers, and sustainable revenue. Token economics should be built upon real network activity and business growth, rather than designing token economics first and then searching for application scenarios.