Research on Investment Prospects in the Generative AI Industry: Large Model Deployment in 2024 Becomes a Key Focus
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Generative AI has brought evident support to the development of cloud computing, presenting development opportunities for technology enterprises, especially for giants like Lenovo Group with profound technical expertise and significant deployments in both AI and cloud computing, which may usher in new opportunities amid industry transformations.
IDC predicts that by 2025, 50% of enterprises will establish strategic partnerships with cloud providers of GenAI (Generative AI) platforms, requiring new enterprise controls for data and cost governance in developer tools and infrastructure. In the process of enterprise digital transformation, the speed, agility, and scalability needed for intelligence are built on cloud foundations.
Research on Investment Prospects in the Generative AI Industry
As a crucial component of the cloud computing landscape, Lenovo Group has long been involved in the hybrid cloud sector. In 2022, Lenovo Group launched its hybrid cloud brand, Lenovo xCloud, featuring four major product families—cloud-native, intelligent operations, private cloud, and multi-cloud management—along with nine general solutions, covering all scenarios for customers from 'building, migrating to, utilizing, and managing the cloud.'
Currently, Lenovo's hybrid cloud solutions have served over 100 leading enterprises across industries such as manufacturing, energy, and finance. For example, in Gansu, Lenovo Group assisted Zijin Cloud with design, construction, and subsequent operations and maintenance, while also helping Zijin Cloud expand its business, delivering tangible empowerment effects for enterprises. With the support of Lenovo's hybrid cloud, Zijin Cloud became the first high-performance computing platform to be commercially deployed in Gansu Province. Generative AI is an artificial intelligence technology that utilizes machine learning models and deep learning techniques to create new content by studying patterns in historical data. This content can be in the form of text, images, audio, or video. Unlike traditional AI that generates output based on given rules or data, generative AI autonomously produces entirely new content, akin to human creativity. A prime example is the widely discussed chatbot ChatGPT, which employs the core GPT-3 model to generate high-quality natural language text for applications like chatting, writing, and automated customer service.
Following the intense competition among models in 2023, the spotlight in 2024 is on how large models can be practically implemented. Recently, OpenAI officially launched the GPT Store, where users have already created over 3 million GPTs. The interface of the OpenAI GPT Store resembles a modern mobile app store, featuring sections like this week's top picks, community favorites, and GPTs created by the ChatGPT team.
IDC China Research Director Lu Yanxia believes that currently viable or profitable models include office scenarios such as meeting transcriptions, summaries, and digital avatars. The revenue growth of generative AI will be reflected in the subscription fees of collaborative office and meeting software.
In industries like gaming, entertainment, and live streaming, text-to-image tools for assisting art design are expected to be quickly adopted. Lu Yanxia attributes this to the fact that these applications do not require standardized results from AI generation and have a certain level of tolerance.
With the implementation of generative AI applications, AI terminals are also set to experience rapid development. IDC predicts that in 2024, over 70% of terminal devices in the Chinese market will feature AI capabilities, with AI terminals accounting for 55%. Among these, AI smartphones are expected to see significant growth in their share of AI terminals, gradually becoming the most prevalent type. Qualcomm CEO Cristiano Amon has also predicted that 2024 will be a pivotal year for AI smartphones globally. Lu Yanxia believes that in the next 2-3 years, generative AI is expected to disrupt business models in professional services, education, healthcare and life sciences, and media. Additionally, with the redefinition and enhancement of virtual content, the metaverse is poised for a revival, while form-based application computing begins to decline.
Prospects of Generative AI Industry
The development direction of the generative AI industry in the coming years will primarily focus on technological advancements and algorithm optimization, expansion of application scenarios, innovation in commercialization models, data security and privacy protection, and interdisciplinary integration. Generative AI technology is still in the process of continuous development and refinement. In the next few years, the industry will continue to improve and innovate in areas such as algorithm optimization, model training, and dataset quality to enhance the accuracy and efficiency of generative AI.
As generative AI technology matures and its applications grow, the industry will gradually expand its application scenarios. In the coming years, generative AI will be increasingly applied across various fields, such as intelligent customer service, smart homes, and intelligent manufacturing, providing intelligent and efficient solutions and services for various industries.
The development of the generative AI industry will bring about innovation and transformation in business models. In the future, the industry will form a more open, collaborative, and win-win ecosystem, offering enterprises more comprehensive, efficient, and personalized solutions and services, thereby driving industrial upgrades and innovation. In the fierce market competition, the ability of enterprises and investors to make timely and effective market decisions is the key to success. The industry reports compiled by China Research Network provide a detailed analysis of the development status, competitive landscape, and market supply-demand situation of Chinese industries. They also analyze the opportunities and challenges faced by industries from the perspectives of policy environment, economic environment, social environment, and technological environment. Additionally, these reports reveal potential market demands and opportunities, offering accurate market intelligence and scientific decision-making basis for strategic investors to choose appropriate investment timing and for corporate leadership to formulate strategic plans. They also hold significant reference value for government departments.