Core Insights - The low-altitude economy is emerging as a key area for the development of new productive forces, significantly supporting regional coordinated development and industrial upgrading [1] - The "Blue Book" on low-altitude economy development highlights the role of artificial intelligence in enhancing low-altitude logistics through dynamic path planning, real-time obstacle avoidance, and cluster scheduling [1] - The report emphasizes that technological innovation is the core variable determining the quality and speed of low-altitude economy development, addressing issues like technology maturity lagging behind scene demands and insufficient industrial chain collaboration [1] Technological Advancements - AI can construct multi-level intelligent decision-making systems, transitioning low-altitude logistics from pilot stages reliant on human intervention to intelligent operations with environmental adaptability [1] - Machine learning algorithms can integrate various data, such as meteorological data, airspace restrictions, and ground traffic flow, to generate optimal flight routes, moving away from inefficient fixed-route logistics [1] Industry Recommendations - The "Blue Book" suggests focusing on scene-based approaches to promote deep integration of technological innovation and industrial ecology to overcome existing challenges in the low-altitude economy [1]