Transforming Visual Communication: The Role of Large Language Models in Media Content Creation

Publication Date

1-1-2026

Document Type

Article

Publication Title

Artificial Intelligence and Large Language Models A Scientific Perspective

DOI

10.1201/9781003492252-6

First Page

154

Last Page

179

Abstract

The ability of artificial intelligence (AI) to generate impressive visuals has left designers caught between fears of being replaced and demands to collaborate with machines, forcing a transition from solo designers following orders to creative directors managing an on-demand creative team that costs less than a monthly coffee budget. This technological shift demands new frameworks for understanding how human creativity and machine capability can work together. This chapter explores the foundation needed for understanding how the human–AI relationship works in media content creation. Four original case studies demonstrate how evolving AI technology impacts the creative process, revealing a complete shake-up of boundaries regarding authorship, creativity, and design. The research shows that integrating AI successfully demands a well-thought-out redistribution of creative labor. Machines are more likely to enhance a project or concept instead of dehumanizing it. Drawing from classroom observations and faculty insights, this research reveals how both teachers and future professionals are adapting to these emerging realities. Proposing a best practice model, the author introduces the “AI–Human Design Pipeline,” a framework that demonstrates the process, from start to finish. It will illustrate to media creatives how they can use AI tools accurately with the intention of maintaining artistic control. The findings reveal ongoing limits of this technology, especially in conceptual layout. While AI demonstrates remarkable speed and capabilities across multiple creative domains, this research provides actionable frameworks for anyone working in visual communication to navigate this technological landscape effectively. This research demonstrates that the future of visual communication will require embracing the evolving AI visual landscape, instead of resisting or ignoring the tools readily available at one’s fingertips. Working with AI demands new skillsets to maintain the human element that AI cannot produce. Ethics, human intuition, and clear communication remain essential. The end product must exceed the initial creative stage, in which AI merely responds to a prompt. That is where the creative negotiation process begins. The final product must encapsulate a genuine human experience that provokes a sense of familiarity to users when attempting to engage their attention.

Department

Journalism and Mass Communications

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