Artificial Intelligence and Data Science in the Transformation of Internet Business Models
Main Article Content
Keywords
artificial intelligence, data science, internet business models, personalized service, profit model innovation, platform ecosystem, digital transformation, small and medium-sized enterprises
Abstract
The internet industry has experienced a profound evolution of business models since its inception, with advertising, e-commerce, and content platforms emerging as the core paradigms. In the digital era, the integration of artificial intelligence (AI) and data science has become a transformative driving force, redefining the operational logic and profit-making mechanisms of internet enterprises. This paper reviews the historical evolution of internet business models, systematically analyzes the multi-dimensional roles of AI and data science in optimizing user experience, enabling personalized services, and innovating profit models across advertising, e-commerce, and content sectors. The study identifies key trends of AI-driven internet business model transformation, including algorithmic monetization, data-driven precision operation, and cross-domain ecological integration. Meanwhile, it also explores potential risks such as data privacy breaches, algorithmic bias, and market monopoly caused by the over-reliance on AI and data technologies. The findings of this paper reveal that AI and data science are not only technical tools but also core strategic elements for the sustainable development of internet businesses, and provide insights for enterprises and regulators to balance technological innovation and risk control.
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