aceuse of text-to-image generative AI models in the digital art ecosystem and its impact on human artists and art creation
Source article: The AI Art Paradigm: Disruptions in the Digital Art Ecosystem and Future Trends
Art has been integral to human life and evolution since the dawn of time, merging creativity with technological advances. In today's digital art domain, generative AI models such as text-to-image generators create high-quality art in seconds, challenging the current digital art ecosystem. Human artists fear displacement. Consumers and galleries criticize AI art. Policies and legal laws continue to address AI art's ethical, social, and economic implications. Anti-AI groups see AI art as a threat to anthropocentri…
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A systematic literature review published August 27, 2025 analyzed 38 publications on generative AI in digital art, documenting how text-to-image models that produce high-quality art in seconds are reshaping the ecosystem and prompting responses from artists, consumers, galleries, and policymakers.
The findings matter because they show a dual trajectory for visual arts and creator rights: immediate socio-cultural and economic strain from perceived displacement and criticism, alongside adaptation through collaborative tool use and evolving legal frameworks, though the small review sample leaves uncertainty about how broadly these patterns hold.
- Systematic literature review analyzed 38 publications on AI art impacts.
- Authors identified four negative disruptions: ethical complications, legal issues, socio-cultural risks, and technological challenges.
- Authors identified three positive trends including socio, technical, and legal changes in response to AI art.
- Study frames AI art as challenging anthropocentric worldviews and prompting policy and legal responses.
Text-to-image generators are being adopted as creative tools that enable increased human and non-human collaboration within the digital art ecosystem.
Text-to-image generators that create high-quality art in seconds are leading human artists to fear displacement and drawing criticism from consumers and galleries.
The rundown
The peer-reviewed review examined 38 publications to answer questions about negative disruptions and positive impacts of AI art, finding ethical complications, legal issues, socio-cultural risks, and technological challenges on the negative side.
On the positive side, the analysis found image generators being used primarily as creative tools, growth in human and non-human collaboration, and emerging socio-technical and legal adaptations, while noting ongoing policy efforts to address ethical, social, and economic implications.
Findings are derived from a thematic analysis of only 38 publications, limiting breadth of evidence.
Sources
- Peer-reviewedACM Journal on Responsible Computing2025-08-27
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