AI musicians may be signing record deals, but that won’t make the songs any better (www.techradar.com)

Telisha “Nikki” Jones — a longtime poet and singer — created Xania Monet by feeding her lyrics into Suno, an AI music generator, and the result has been commercially successful: Hallwood Media reportedly inked a ~$3 million deal, songs like “Let Go, Let God” and “How Was I Supposed to Know” are charting (Billboard Hot Gospel, #1 on R&B Digital Song Sales) and the project has nearly ten million U.S. streams. Jones says about 90% of the lyrics are hers, but the production, vocal performance and polish were generated by Suno, a tool currently facing版权 lawsuits from major labels. Suno can turn a paragraph of text into a full song in seconds, creating convincing — if sometimes familiar — finished tracks and entire artist personas that don’t physically exist. The story matters because it surfaces both the creative potential and the disruption AI brings to music: democratization of high-end production versus risks to human musicians, session players, and emotional authenticity. Labels buying AI-first acts signal a business incentive to scale synthetic music — which could reduce opportunities for emerging performers, homogenize chart sound as models are reused, and create thorny questions around live performance, credit, and copyright. At the same time, tools like Suno can amplify creators who lack technical skills. The key debate is whether AI should be a studio tool that augments human artistry or a replacement that monetizes engineered likenesses at the expense of musical labor, originality and legal clarity.