Content area

Abstract

In films, Visual Effects (VFX) are meticulously crafted by skilled artists who painstakingly create and manipulate computer-generated imagery (CGI) to enhance a film’s storytelling and visual aesthetics. However, with the rise of artificial intelligence (AI), the landscape of VFX is transforming. Consequently, the widespread implementation of AI has sparked concerns within the film industry about the potential replacement of human contributions, akin to trends observed in other sectors previously dominated by humans. This raises concerns about the value of human artistry, provoking anxiety regarding machine substitution. This study elucidates this issue by strategically analyzing two highly successful augmented reality films using a two-prong research approach—Discourse Analysis and Realism Analysis—and from theoretical lenses, demonstrating that, despite the ascendance of AI, human artistry continues to hold a significant role in creative expression.

Details

Business indexing term
Title
Human Artistry in an AI-Driven Film Industry: Evaluating the Role of Creativity in Hollywood VFX
Volume
10
Issue
1
Pages
63-82
Number of pages
21
Publication year
2025
Publication date
2025
Publisher
Common Ground Research Networks
Place of publication
Newcastle
Country of publication
United States
Publication subject
ISSN
24709255
e-ISSN
24709255
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-02-27
Publication history
 
 
   First posting date
27 Feb 2025
ProQuest document ID
3234208427
Document URL
https://www.proquest.com/scholarly-journals/human-artistry-ai-driven-film-industry-evaluating/docview/3234208427/se-2?accountid=208611
Copyright
© 2025. This work is licensed under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-11-07
Database
ProQuest One Academic