According to Balaji (@balajis), AI excels in generating images, video, and frontend code due to higher error tolerance and immediate error visibility, but requires strict supervision for backend code where invisible errors are not tolerated (Source: Twitter, May 31, 2025). For traders, this emphasizes the importance of robust AI auditing in backend systems that power crypto exchanges and decentralized finance platforms, as undetected errors could impact asset security and trading reliability.

According to Anthropic (@AnthropicAI), coding is currently the most advanced practical application of AI across industries, making it a critical sector for traders and investors to monitor for early signals of broader economic impact. This trend suggests that the rapid adoption and integration of AI in software development may serve as a leading indicator for how other industries and job markets could evolve with AI technology. Investors should closely watch AI-driven productivity shifts in software development as they could forecast emerging opportunities and risks in related technology sectors (source: AnthropicAI, April 28, 2025).