Has connected intelligence for resource-agnostic IoT arrived?

As technology advances, there is a view that IoT “connectivity” and “intelligent computing” will gradually become standardized and undifferentiated. In the future, AI will automatically select the optimal resources, eliminating the need for enterprises to make their own decisions, and making IoT systems “agnostic” to connectivity and intelligence sources.

However, the article argues that this vision is overly idealistic. Although IoT connectivity configuration and edge/cloud intelligence deployment have been significantly simplified in recent years, different technologies (such as LTE, satellite, and LPWAN) still each have their own characteristics and will continue to coexist rather than be fully replaced by a single automated system. In addition, the evolution of telecom technologies (from 4G to 5G to 6G) and the complexity of a multi-vendor ecosystem cannot be ignored.

In practical terms, the industry is more focused on technologies such as the SGP.32 specification, which aims to simplify device connectivity provisioning, and on using single-pane-of-glass (SPoG) systems to integrate data and improve large-scale IoT management efficiency. However, there are still differing views on the scope and depth of SPoG, and security as well as connectivity complexity remain major challenges.

In conclusion, a fully automated and undifferentiated IoT architecture is unlikely in the near term. The more realistic progress at this stage is the partial automation of processes and data integration through AI, enabling faster and more accurate decision-making—an important and valuable advancement for the IoT industry.

https://iot-now.com/2026/04/09/156122-has-connected-intelligence-for-resource-agnostic-iot-arrived/