As artificial intelligence (AI) moves from technological research and development to large-scale applications, this technology is profoundly reshaping the global industrial landscape and social life forms. At the recently held Boao Forum for Asia 2026 Annual Conference, artificial intelligence has also become one of the most popular and discussed topics, with related sub forums often filled to capacity. What are the current trends in global artificial intelligence development? How can "AI+" deeply empower various industries? How to better achieve AI governance in the future? Guests from the political, business, and academic circles conducted in-depth discussions on these hot topics, contributing the "Boao Wisdom" to the development of AI. Many attendees believe that the global AI development is entering a critical moment of leap towards the era of intelligent agents, and Asia is expected to play an important role in the global AI development. Zhang Yaqin, an academician of the CAE Member and president of the Institute of Intelligent Industry of Tsinghua University, predicted that "Internet plus" would turn to "AI+" when he attended the Boao Forum for Asia 10 years ago. Now the prediction in the past has become a reality. He shared his judgment on the evolution trend of AI in the future: First, AI will no longer only output content, but participate in decision-making and action as an active executor. This year will become the first year of intelligent AI. The second is to move from information intelligence to physical intelligence and biological intelligence, such as robots, autonomous driving, biopharmaceuticals, etc. The third is to move from AI to "AI+". AI is moving towards every industry, not only as a tool, but also reshaping the underlying logic and thinking of enterprise management. In the era of artificial intelligence, the role of industries and enterprises has become even more important. ”Professor Jiang Xiaojuan from the University of Chinese Academy of Social Sciences emphasized that in the past 10 years, there has been a fundamental transformation in the research and development of cutting-edge large-scale models in China; Before 2014, about 60% were proposed by universities, and after 2014, 90% were led by platform based large enterprises. The traditional linear innovation path of "scientific research transformation" has shifted towards integrated innovation relying on massive resource inputs such as data, algorithms, and computing power. In the global AI development landscape, countries present different paths due to differences in resource endowments, talent reserves, application scenarios, and other factors. Most guests believe that Asia, especially China, has emerged as a rising star in the field of AI and possesses unique advantages. Artificial intelligence cooperation is expected to become a new growth point for regional economic integration. Chen Lan, Managing Partner of Deloitte China Research, stated that many Asian economies have explicitly elevated artificial intelligence to a national strategy and have introduced medium - to long-term plans. China, South Korea, and other countries have advantages in computing power and core algorithms, while potential economies such as India and Indonesia have rich application scenarios and data accumulation. This complementary differentiation of capabilities has led to joint innovation and become the main mode of artificial intelligence integration in Asia. Xue Lan, Dean of the Su Shimin Academy at Tsinghua University, Dean of the Institute of Artificial Intelligence International Governance, and Director of the China Science and Technology Policy Research Center, stated that the current global development of AI has formed a good open source ecosystem, and China's open source big model has made important contributions to the popularization of AI technology worldwide. Due to the limited number of countries worldwide with the ability to develop large-scale models, many countries rely on open-source large-scale models as a foundation for development. China's open-source achievements have effectively lowered the technological barriers for these countries. In terms of AI regional cooperation, Asia has very strong demand and vitality. ”Yu Xiaohui, President of the China Academy of Information and Communications Technology, stated that by 2025, small and medium-sized enterprises in Asia will account for approximately 28% of the global artificial intelligence unicorn companies. 55% of the global cases collected by the China Academy of Information and Communications Technology in collaboration with the International Telecommunication Union for the "Artificial Intelligence for Good" initiative are from Asia and are concentrated in fields such as healthcare, education, and government services. Empowering Thousands of Industries Attendees generally believe that AI technology is constantly maturing, accelerating its penetration into thousands of industries, promoting industrial upgrading, and shaping new economic formats. At the sub forum of "The Advancement and Leap of Humanoid Robots" at the 2026 annual meeting of Boao Forum for Asia, the "youngest robot guest of the forum" Beijing Humanoid Robot Innovation Center embodied Tiangong 3.0, the first digital guest Baidu AI Cloud digital person Vivi Dora, and the Star Era Q5 robot took turns to introduce themselves and interact on the spot, intuitively displaying the results of the integration and development of embodied intelligence and artificial intelligence, attracting the audience to take photos. Regarding when humanoid robots can achieve a disruptive breakthrough, Xiong Youjun, CEO of Beijing Humanoid Robot Innovation Center, stated that technological breakthroughs do not occur in an instant, but rather are a gradual process deeply coupled with technological maturity, commercial value, and social needs. At present, in structured environments and simple repetitive application scenarios, relying on the world language behavior model, humanoid robots have begun to be applied on the ground. Last year, the shipment of humanoid robots in China was nearly 20000 units, and it is expected to achieve significant growth this year. The speed of their application landing may exceed market expectations. Currently, for the general public, mobile phones are the most convenient device for experiencing and accessing AI. ”Zhang Fei, Vice President of Vivo AI, introduced that Vivo focuses on the development of large models on the end side and continues to make efforts in the development of intelligent mobile phones. That is, the entire phone behaves like an intelligent agent, and the interaction between ordinary users and the phone is more natural and intuitive. At the same time, the phone has the ability to learn and evolve, making operation increasingly simple. Shen Jianguang, Vice President and Chief Economist of JD Group, used AI to empower the entire supply chain process as an example to introduce the feasible path of AI empowerment. JD is a technology company based on the supply chain, and currently all aspects of warehousing and logistics have been empowered by AI, effectively improving labor productivity and operational efficiency. Practice has proven that artificial intelligence models are injecting strong impetus into the high-quality development of enterprises. ”Shen Jianguang said. In addition to the technology field, how to better adapt to AI in traditional industries such as home economics and mining has also become a necessary question for enterprise development. The country has just issued the "Opinions on Accelerating the Establishment of Long term Care Insurance System", which will stimulate a huge demand for home care services, and also require the home care industry to use AI to improve efficiency. ”As a leader in the domestic service industry, Chen Xiaohua, the founder and CEO of Swan Home, said that Swan Home is actively embracing AI. In terms of software, the company's domestic service will be connected to the AI ecosystem in the future, and domestic service personnel will use various AI Agent services to improve efficiency. In terms of hardware, there are three major categories of AI tools being implemented, namely labor tools, security and service supervision, and experience and efficiency enhancement. In the future, we hope to improve the efficiency of home service through human-machine collaboration, optimize consumer experience, and further expand the field and quality of service consumption. Forbes River Group is an Australian iron ore giant, and its executive chairman and founder Andrew Forrest believes that new energy technologies must be combined with artificial intelligence. He gave an example that when sunlight shines on solar photovoltaic panels, the initial efficiency is high, but when a cloud drifts by, the efficiency immediately changes - the human brain cannot keep up with the ever-changing weather, but artificial intelligence can. Therefore, incorporating AI into solar photovoltaic systems and the integration of photovoltaics with the grid can achieve more efficient management of the solar energy grid. Not long ago, OpenClaw sparked a global craze for "shrimp farming" and popularized the concept of intelligent agents to the public. However, the accompanying security vulnerabilities, permission risks, and other issues have also prompted people to have more rational thinking about AI applications. 'AI governance' and 'AI for good' have become high-frequency words at this year's conference. Former New Zealand Prime Minister Shipley believes that the development of AI needs to balance technological innovation and human protection, promote the realization of AI for good, and fully consider its social impact. She stated that the development of AI and robots needs to clarify the responsible parties, and when adverse consequences arise from technological applications, developers should bear the primary responsibility. At the same time, the development of big models relies on data contributed by all mankind, but currently there is a lack of clear permission processes for data integration, and the use of personal video data involves privacy and ethical issues, requiring the protection of individual rights to information and consent. In addition, there are differences in regulatory policies among different countries, and it is still necessary to jointly explore the boundaries of personal data applications in the future to avoid robot technology challenging human nature and exacerbating social inequality. AI needs to develop, but development cannot lose people. ”Jiang Xiaojuan uses three words to describe the standard of goodness: rationality, to see if it can improve efficiency, enhance social welfare, and promote fair distribution; Use it to see if it brings a sense of improvement in people's lives, increased happiness, and other benefits; Consensus, whether it meets the true needs of human beings. In the era of intelligent agents, the focus of future artificial intelligence governance will be on vertical application scenarios. ”Xue Lan believes that the impact of AI today is more extensive than the previous industrial revolution, which mainly replaced human physical labor and information processing capabilities. Currently, artificial intelligence directly impacts the intellectual abilities that humans are proud of. Governments of all countries should take this profound change seriously and use policy measures to scientifically guide industrial development and respond to shocks. In response to the contradiction between the rapid development of AI technology and the lag in related governance decisions, Zhang Yaqin proposes three suggestions: firstly, the content generated by AI should be labeled. Secondly, all intelligent agents must be traceable to entities, and the entities that possess them must bear corresponding responsibilities. Again, intelligent agents cannot generate or replicate on their own. Sam Dawes, Senior Advisor for the Artificial Intelligence Governance Initiative and Director of Multilateral Artificial Intelligence at Martin College, Oxford University, stated that regulation in various countries needs to balance innovation and safety. Currently, China, Europe, and the UK have introduced relevant frameworks, and in the future, efforts need to be made to promote the establishment of international unified technical standards that take into account compatibility with different languages and cultures. (New Society)