Industry insiders have pointed out an interesting phenomenon—by 2030, a company's technological competitiveness may no longer depend solely on the sophistication of individual technologies, but rather on whether AI, blockchain, cloud, and edge computing can truly work together.

Their roles are actually quite clear: the cloud handles massive data storage and computing, edge computing ensures real-time response speeds, AI acts as the brain for intelligent decision-making, and blockchain serves as the "trust provider"—responsible for data provenance, audit trails, and identity verification.

From a corporate perspective, there are three key areas to focus on next: first, combining AI and blockchain to achieve data authenticity and verifiability; second, leveraging blockchain-supported autonomous AI workflow management; third, using decentralized storage and computing networks to hedge against the risks of a single centralized platform.

Practical advice for CTOs is also quite straightforward—stop focusing solely on individual projects, and start thinking about how to build shared data and identity infrastructure. At the same time, embed regulatory audit requirements into the technical architecture early on, which will save a lot of trouble later.