Do We Really Need An AI Music Award?

The Ethiopian Artificial Intelligence Institute, working with Ehud AI Studio, launched the "Echoes of Adwa" music competition in early March 2026. The contest invited creative professionals to submit original AI-assisted compositions lasting two to five minutes, in MP3 or WAV format, with a total prize pool of one million birr. Organizers described the effort as a way to commemorate Ethiopia’s victory at the Battle of Adwa and to integrate advanced technologies into the country’s creative sector. Submissions were due by mid-March, and the competition formed part of Ethiopia’s wider push into artificial intelligence.

This initiative arrived as AI tools for music generation, such as Suno and Udio, gained traction globally and began appearing in Ethiopian production. A global study by the International Confederation of Societies of Authors and Composers (CISAC) projects that generative AI could place 24 percent of music creators’ revenues at risk by 2028. The market for AI-generated music and audiovisual content is expected to grow from around €3 billion currently to €64 billion by 2028, with AI developers potentially gaining €4 billion annually in the music sector alone. Human creators in music stand to lose economic value as AI content competes for streaming slots and library placements.

In Ethiopia, the competition required at least 70 percent AI-generated content in submissions, according to reports on the backlash. Musicians and educators quickly raised concerns. Almight Tefera, a composer and instrumentalist, noted that AI can produce technically precise results but often lacks the emotional depth that comes from human performance and lived experience. He argued that rapid generation of music with revenue potential could reduce incentives for years of formal training, collaboration with lyricists and composers, or the personal discipline required to develop genuine emotional expression. Serawit Fikru, head of Siderta Music School and a veteran educator, acknowledged AI’s possible value as a learning aid but warned against its use as the primary driver of creation. Dawit Yifru, president of the Ethiopian Music Sector Associations, pointed to potential effects on songwriters, composers, instrumentalists, and event organizers whose roles depend on traditional production processes.

These voices reflect broader patterns observed in the music industry. A UNESCO report on creativity policies across more than 120 countries highlights that generative AI is disrupting cultural work faster than policies can respond, exacerbating inequalities and threatening livelihoods. In Africa, weak intellectual property protections already cost South Africa’s music sector between R500 million and R690 million (roughly US$34-46 million) annually through piracy; analysts warn that AI could compound such losses by enabling mass reproduction of styles and voices without consent or compensation. Globally, the recorded music market reached $31.7 billion in 2025, up 6.4 percent for the eleventh consecutive year, driven largely by streaming. Yet industry bodies such as the IFPI have called for clear rules to ensure AI-generated content compensates original creators rather than displacing them.

Ethiopia’s copyright framework adds another layer of difficulty. Current laws center on human authorship and do not clearly define ownership, protection eligibility, or revenue distribution for AI-generated works. Ethiopia’s creative sectors, including music, have contributed meaningfully to the economy in the past, but sustained growth depends on addressing piracy, infrastructure limits, and now emerging AI questions.

Notwithstanding these concerns, proponents of AI-assisted music point to a range of practical and creative benefits that are already reshaping how music is produced and consumed. AI tools such as Suno and Udio allow artists to prototype ideas rapidly, lowering the cost and time required to move from concept to composition. For independent musicians and small studios, this reduces reliance on expensive equipment, studio time, or large production teams, making music creation more accessible to a broader pool of talent. In contexts like Ethiopia, where access to high-end production infrastructure can be limited, such tools may help democratize entry into the industry.

AI is also being integrated into workflows as a collaborative instrument rather than a replacement for human input. Artists can use generative systems to explore new genres, simulate instruments that are otherwise unavailable, or generate variations that inspire further refinement. Educators such as Serawit Fikru have acknowledged this auxiliary role, noting that AI can support training by helping students experiment with composition, arrangement, and sound design in real time. This aligns with broader global trends, where AI is increasingly positioned as a co-creation tool that enhances rather than eliminates human creativity.

AI tools are increasingly used to support language development and memory retention among younger learners. Songs generated or adapted through AI can reinforce vocabulary, storytelling, and historical narratives in ways that are easier for children to absorb. In multilingual contexts such as Ethiopia, this may allow educational content to be produced in multiple local languages at relatively low cost, expanding access to culturally relevant learning materials.There are also emerging economic opportunities tied to AI-generated music. The expansion of the global content market, including gaming, film, and digital media, has created demand for large volumes of customizable audio. Some industry analysts argue that rather than displacing artists entirely, AI may shift the skill set required, rewarding those who can effectively direct, curate, and refine machine-generated outputs.

In addition, AI has the potential to preserve and reinterpret cultural heritage. By training models on traditional Ethiopian sounds, rhythms, and instruments, developers and musicians could create new works that draw from historical styles while reaching contemporary audiences. This raises its own ethical and legal questions, particularly around consent and ownership, but it also presents a pathway for cultural archiving and innovation if managed carefully.

Awards and competitions can spotlight innovation and attract talent. In this case, the one-million-birr prize and national theme offered a visible platform for experimentation. Yet the challenge lies in balancing these opportunities with the legitimate concerns raised by artists and industry stakeholders. The trajectory of AI in music will likely depend not only on technological adoption but also on the development of regulatory frameworks, fair compensation systems, and cultural norms that ensure human creativity remains central to the process.