According to DeepLearning.AI, Andrew Ng highlights that the business value of AI's speed remains underrated, directly impacting sectors relying on rapid data processing, including crypto trading. Microsoft’s launch of the Phi-4 reasoning family and its open training blueprint (source: DeepLearning.AI, May 15, 2025) signal increased accessibility to advanced AI models, potentially boosting algorithmic trading performance in digital asset markets. Furthermore, DeepCoder-14B now matches the capabilities of o1 and DeepSeek-R1, indicating a rising standard in AI-driven code generation, which could streamline smart contract and blockchain development. Lastly, the EU's decision to soften AI regulations (source: DeepLearning.AI, May 15, 2025) lowers barriers for AI adoption in fintech, likely accelerating innovation in crypto trading tools and compliance frameworks.

According to Paolo Ardoino, the recent EU regulations on AI are intended to enhance safety for citizens, suggesting that AI systems will be less likely to pose physical threats. This could influence investment strategies in AI-focused technology sectors as regulatory impacts are assessed.