The proprietary algorithms that govern how AI systems prioritise and present creative content are often kept secret. It is highly likely that these algorithms, consciously or unconsciously, prioritise content that aligns with the dominant training data and the interests of technology companies, further deprioritising creativity originating from Myanmar. This can lead to cultural homogenisation and hegemonisation, undermining the right of Myanmar's diverse communities to participate freely in cultural life and to express their unique identities. Copyright and the right to remedy AI-generated creativity relies on vast existing works, raising issues of consent, compensation and copyright. In Myanmar, limited digitised content means AI outputs are more likely to mirror original creations so closely that they blur the line between transformation and infringement. While Myanmar’s national Copyright Law may offer some recourse, global model training routinely circumvents local protections. Most AI companies are headquartered outside Myanmar’s jurisdiction, leaving creators with no effective remedy. A Myanmar creative would have little choice if trying to enforce their copyright. Economic disempowerment of Myanmar creatives Even before AI, many Myanmar creatives struggled to earn a stable income. If their clients and consumers can replace paid commissions with “zero-cost” AI outputs, the result will be widespread job losses and further contraction of an already precarious creative sector. The effect is likely to be worse for those marginalised creatives already excluded from using AI, either due to a lack of access to the internet or due to a lack of relevant skills to take advantage of the technology. It is also likely that the effect will further hinder the development of a vibrant and diverse national creative sector. Intersectional and sectoral impacts AI’s effects will vary across creative fields and social groups. For instance, AI-generated content can amplify sexist stereotypes or normalise violence against women, while automated moderation algorithms can mislabel feminist content as hostile. Creatives with disabilities may find that “accessible” AI platforms still exclude them if user interfaces lack inclusive design. Traditional crafts and oral history practices—already threatened by urbanisation and migration—risk further erosion if digital preservation projects neglect local knowledge holders. There is a need for intersectional and sector-specific impact studies. Dedicated impact studies are needed for each sector and vulnerable group.