Research on the Application of Generative Artificial Intelligence in the Global Technology, Media, and Telecommunications Industry: An Analysis Based on Functional Dimensions

Abstract

With the release of generative AI models such as ChatGPT and Stable Diffusion, the field of artificial intelligence has entered a new phase. Generative models not only comprehend human language but also generate content like text, images, code, and music based on it. This capability is transforming innovation models and business operations within the Technology, Media, and Telecommunications (TMT) sector. This study systematically examines key GenAI applications across TMT functions, utilizing Deloitte's 2024 survey data from 2,773 global respondents to analyze current adoption rates across departments. Through literature review and case analysis, the article highlights that TMT enterprises are currently adopting generative AI most rapidly in functions such as information technology, product development, and cybersecurity. Adoption rates stand at 34% in IT departments, 17% in product development, and 12% in cybersecurity. Generative models demonstrate significant efficiency advantages in media content creation, post-production, and marketing; in telecommunications, they are primarily used for customer service, network operations, and marketing optimization. However, challenges including poor training data quality, privacy and copyright risks, energy consumption, and impacts on employment structures remain major barriers to large-scale adoption. The article concludes with recommendations: establishing multi-tiered governance frameworks, strengthening data management and compliance, enhancing talent development, and promoting cross-functional collaboration.

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