Core Insights - The rise of AI digital humans is transforming the tourism industry, with virtual figures becoming popular attractions in various scenic spots [1] - Virtual digital humans are penetrating multiple sectors including media, entertainment, finance, education, healthcare, agriculture, and government, showcasing remarkable adaptability and creativity [3] Industry Development - The virtual digital human industry is experiencing unprecedented growth driven by advancements in generative AI (AIGC), virtual reality (VR), and augmented reality (AR), positioning it as a new engine for digital economic development [4] - Breakthroughs in AIGC have significantly enhanced content generation efficiency for digital humans, enabling them to understand complex contexts and express creativity and emotions [4] - The maturity of neural rendering technology has made the facial expressions and body movements of digital humans more natural and lifelike, while the proliferation of edge computing and 5G networks has addressed real-time interaction delays [4] Challenges - Despite rapid development, the virtual digital human industry faces challenges such as high production costs, limited interaction capabilities, and insufficient application scenarios [5] - High-quality digital humans require substantial investment, often ranging from hundreds of thousands to millions, creating barriers for small and medium enterprises [5] - Many digital humans remain in a "decorative" phase, lacking the ability to adapt services based on user needs and often providing inaccurate responses in complex situations [6] Demand and Solutions - To overcome current bottlenecks, the focus should return to the core value of digital human technology—solving real problems in the economy to achieve cost reduction and efficiency improvement [7] - Establishing a "demand-driven" R&D mechanism is essential, allowing digital human technology to evolve by addressing actual industry needs [8] - Integrating digital human technology with IoT, big data, and industry-specific knowledge can create intelligent service ecosystems, enhancing their value [8] Scalability - Reducing usage barriers and costs is crucial for widespread adoption, which can be achieved through industry-level digital human service platforms and low-code customization tools [9] - Collaboration among government, enterprises, and research institutions is necessary to establish industry standards and promote technology compatibility and data interoperability [9] - As technology advances and application scenarios expand, virtual digital humans will play increasingly significant roles across various industries, serving as bridges between people and services, tradition and modernity, efficiency and experience [9]