Suspicious hands, distorted logos and unusually smooth character models are now enough to trigger a new debate in gaming communities. As soon as an image appears to be AI-generated, fans begin searching for flaws. Studios and esports organisations can come under pressure within hours.
An opinion piece by Esports Insider criticises exactly this development. It argues that parts of the community focus too heavily on individual graphics while giving far less attention to the structural problems facing esports. This does not mean that the risks of artificial intelligence should be dismissed. The key question is which forms of AI use actually cause harm.
Mobile Legends Removes Controversial Artwork
One example highlighted in the article is a new background image from Mobile Legends: Bang Bang. Fans noticed unusual lighting, overly smooth textures and anatomical inconsistencies in the depiction of the hero Layla. The suspicion quickly spread on social media that generative AI may have been used.
MOONTON later removed the image through a small patch and restored the previous version. However, the company did not officially confirm that the artwork had been created with AI. Parts of the community still interpreted the quick removal as an indirect response to the criticism.
Similar discussions emerged around a trailer for Fatal Fury: City of the Wolves. Some promotional graphics in the background appeared machine-generated to viewers. The Carolina Royal Ravens also faced criticism over a social media image in which the team’s own logo was reportedly displayed incorrectly.
Why AI Images Trigger Such Strong Reactions
The outrage does not come from nowhere. Artists and designers fear that companies may replace their work with cheaper AI systems. There are also unresolved questions surrounding training data, copyright and the compensation of creators whose work may have been used to train these models.
The issue becomes especially serious when companies hide the use of AI or present automated content as human-made work. Fans are also highly critical when major publishers release obviously low-quality material. A poor graphic can then appear not only careless, but also as a sign that quality and creative work are not being valued.
The main concerns include:
- the potential replacement of human artists with automated tools
- a lack of transparency about how images and videos were produced
- unresolved copyright issues and questionable training data
- lower quality caused by rapidly produced mass content
These concerns are valid. The debate becomes less useful, however, when every suspicious texture is automatically treated as proof of deliberate deception.
Not Every Use of AI Has the Same Consequences
There is a major difference between an AI-generated placeholder and the complete dismantling of a creative department. That distinction is often lost on social media.
| Type of AI Use | Possible Impact |
|---|---|
| internal concept or placeholder | speeds up early production stages |
| social media graphic | reduces costs but may damage trust |
| unlabelled marketing material | raises transparency and copyright concerns |
| replacement of full-time creatives | directly affects jobs |
| automated data analysis | can support teams but still requires oversight |
AI can also be used in less visible areas of esports. These include statistical analysis, translation, research and repetitive broadcast-production tasks. Such applications are not automatically harmful as long as people remain in control and review the results.
Financial Pressure Makes the Debate More Complex
Many esports organisations are struggling with declining investment, difficult league models and the search for sustainable revenue. Under these conditions, it is unrealistic to expect every team to fund an elaborate production for every social media post.
That does not excuse every decision. Companies using AI should take responsibility and should not replace creatives without explanation. At the same time, a weak graphic may simply be a symptom of limited budgets rather than part of a long-term strategy against human artists.
The key question is not only whether AI was used, but who was harmed by it and whether the process was transparent.
Focusing on Individual Images Can Hide Bigger Problems
Esports is dealing with challenges that go far beyond flawed social media graphics. These include insecure working conditions, burnout among professional players, unstable competitive structures and organisations that operate at a permanent loss.
The Esports Insider article therefore argues that these issues matter far more than a distorted logo or an unusual-looking hand in a single image. The focus on visible mistakes is understandable because they are easy to identify and share. More complex problems, by contrast, cannot be reduced to a single screenshot.
The use of generative AI across the gaming industry is also likely to increase. The debate will not disappear. It needs to become more precise and distinguish more clearly between useful tools, questionable marketing practices and genuine job losses.
What Companies Need to Improve
Publishers and esports organisations can avoid many conflicts by clearly explaining how they use AI. Labelling does not solve every ethical question, but it creates a better foundation for discussion.
The most important measures would be:
- clear disclosure of generative AI tools
- human quality control before publication
- fair treatment and compensation of creative professionals
- transparent rules for training data and copyright
At the same time, the community should remember that not every visual mistake is caused by AI. Poor editing, time pressure and low-cost outsourced work can produce similar results.
Assessment: Transparency Matters More Than the Next Witch Hunt
Criticism of generative AI in esports remains necessary. Companies must respect copyright, treat human creatives fairly and avoid presenting automated content as handmade work.
However, searching for mistakes in individual images does not solve these issues. A social media backlash against a team with limited resources does not create better working conditions or binding industry standards.
A more productive debate would focus on clear labelling, fair compensation and measurable consequences. Communities should judge organisations by how responsibly they use AI, not only by whether a character appears to have six fingers.
The current controversy does not prove that AI is the biggest problem in esports. It mainly shows how quickly visible mistakes attract attention while more complicated structural issues remain in the background.
