Currently, AI (artificial intelligence) is integrating into various aspects of social life at an unprecedented speed. In this wave of AI technology, the elderly are not the 'left behind'. AI courses are hard to come by in senior universities across the country, community training classes are overcrowded, and more and more silver haired people are starting to use AI application tools. This phenomenon reflects the coupling of digitization and aging, and AI provides new scenarios for actively responding to population aging. The rapid rise of AI in the elderly population is the result of multiple demands. Firstly, there is a need for compensation in terms of information acquisition and expression abilities. As they grow older, some elderly people face difficulties in reading, writing, and information filtering. AI applications significantly reduce the threshold for information acquisition through functions such as voice input, automatic summarization, and intelligent question answering, making it easier for them to understand complex content and express personal ideas. With the help of AI assisted writing, elderly people can more smoothly record their lives and communicate with family and friends, thereby reducing the "silence" caused by technological barriers. Secondly, there is a need for emotional companionship and psychological support. Against the backdrop of smaller family structures and reduced companionship from children, some elderly people experience an increase in loneliness. AI chat tools have the ability to respond instantly, recognize emotions, and become "digital companions" to a certain extent. Although this kind of companionship cannot replace real interpersonal relationships, it has practical value in alleviating loneliness and providing emotional outlets. Once again, there is a need for convenient living and increased sense of security. Healthy living and healthcare are the most important needs for the elderly, and AI can assist in health consultation, travel planning, and consumption decision-making, making their daily lives more convenient. By using voice assistants to query medication information and AI customer service to handle business, the complexity of operations is reduced while improving daily efficiency. From a deeper perspective, the popularization of AI aligns with the psychological expectation of the elderly to keep up with the times. For many elderly people, learning AI is not only a technological behavior, but also a renewal of identity and an important way to actively integrate into the digital society. The entry of AI into elderly life has also had multidimensional impacts on society. On a psychological level, AI can help enhance the self-efficacy of the elderly. Learning AI itself is an active 'mental exercise' that helps delay cognitive decline and maintain a positive mindset. When elderly people are proficient in using new technologies and solving practical problems, they will gain a sense of achievement and confidence, thereby improving their psychological state. At the consumer level, AI has changed the consumption habits of the elderly. AI recommendation algorithms can make it easier for elderly people to discover the products and services they need, giving rise to a new growth point in the "silver economy". AI price comparison tools and intelligent shopping guides can also help elderly people make more rational consumption decisions. However, at the same time, algorithmic recommendations may also amplify the information cocoon effect and even be exploited by illegal organizations to induce impulsive consumption. At the level of family relationships, AI may become both a communication bridge and a new barrier. Collaborative learning and use of AI can increase intergenerational interaction and create new communication topics. But if elderly people overly rely on AI and reduce communication, it may also weaken genuine emotional connections. At the level of elderly care models, AI is expected to promote the in-depth development of smart elderly care. Through intelligent monitoring, remote medical care, personalized services, and other means, elderly people can enjoy higher quality elderly care services, reducing the burden on society and families. With the increasing demand for care and the shortage of nursing staff, the application scenarios of elderly care companion robots are becoming more and more widespread. The shift from 'not knowing how to use mobile phones' to actively learning AI reflects the concept of' learning and enjoying oneself in old age '. At present, the main channels for elderly people to acquire AI knowledge include the following categories: first, senior universities and community training. Mainly through offline teaching channels, it has the advantages of high interactivity and friendly atmosphere, and the learning effect is good. The shortcomings lie in the uneven distribution of resources, limited course supply, and difficulty in meeting the growing demand. The second is to learn independently through short video platforms, knowledge-based apps, online courses, and other means. The advantages of this type of channel are abundant resources, learnable anytime, anywhere, and diverse choices. However, online learning places high demands on the information filtering ability of the elderly. The mixed quality of content is mixed with many advertisements, promotions, and even fraudulent information, and the elderly may "fall into the trap" if they are not careful. Thirdly, through family channels, children and grandchildren can provide 'digital feedback'. The advantage lies in personalization, strong targeting, smooth communication, and the ability to enhance intergenerational affection through interaction. However, in reality, due to the busy work schedule and lack of patience of children, or the elderly's fear of troubling their children, the "success rate" of home teaching is not high. The fourth is training for commercial institutions. Some institutions offer specialized AI courses and even promote slogans such as "quick mastery" and "easy monetization". Commercial institutions can provide systematic training, but there are also issues of overcharging, exaggerating effects, and even inducing consumption. Overall, the channels for elderly people to learn AI are becoming increasingly diverse, but they also face challenges such as information asymmetry and risk prevention. Currently, some illegal organizations exploit the lack of awareness of AI among the elderly and set consumption traps. Some charge high fees under the guise of "AI money making courses", some induce the purchase of products with no actual value through false advertising, and some illegally raise funds under the banner of "AI wealth management" and "AI investment". These behaviors not only harm the economic interests of the elderly, but also weaken their trust in new technologies. Therefore, promoting the elderly to embrace AI must be synchronized with risk prevention. On the one hand, it is necessary to strengthen science popularization education, improve the information recognition ability of the elderly, and help them identify various "AI scams"; On the other hand, it is also necessary to improve the regulatory system, regulate relevant market behaviors, and establish a full chain protection system. The collision between the elderly and AI is not only an encounter between age and technology, but also witnesses a transformation in social structure and development concepts. Helping the elderly overcome the digital divide and embrace AI technology is not only a response to the requirements of an aging population, but also a necessary part of building an elderly friendly society. To truly benefit more elderly people from AI, it is necessary to form a joint force at the national and social levels, with offline formal channels as the foundation for protection, family channels as emotional bonds, and online channels as extensions, to jointly build an AI learning support system for the elderly. Firstly, the supply of public education should be increased. Popularize AI basic courses in senior universities, community institutions, party and mass activity centers, and other places to lower the learning threshold, focus on the practicality and safety of the content, and provide more opportunities for elderly people to receive formal training. Secondly, efforts should be made to promote the design of aging friendly technologies. Encourage enterprises to develop AI products with simple interfaces, easy operation, and voice friendliness, so that elderly people can use them "without barriers". Again, market supervision and protection of rights and interests should be improved. Regarding the elderly training market and AI related consumption, we will strengthen regulation and law enforcement, establish a complaint and rights protection mechanism, and effectively protect the rights and interests of the elderly population. Efforts should be intensified to crack down on fraudulent activities targeting the elderly using AI technology. In addition, family and community support should be strengthened. Provide continuous technical support and emotional companionship for the elderly through volunteer service, intergenerational mutual assistance, and other means. (New Society)