AI music can be difficult to detect, but there are some telltale signs
If you're worried about AI music worming its way onto your playlist, you'll be relieved to know it's easier to spot than you think.
AI music is a real problem, with the past year seeing generated tracks fill up streaming platforms, falsely attributed to real artists on sites like Spotify and invading the music industry. Generative AI remains controversial due to its environmental footprint and use in content farms. Many listeners prefer to avoid songs cooked up by automated tools with nothing to say about the real world.
With millions of songs being churned out for AI training, generated tracks are facing closer scrutiny. This has led to works being critically evaluated to determine which traits actually point to artificial creation versus standard human production quirks.
If you're worried you don't have the right ear to find these mechanical melodies, it's best to brush up on the giveaway signs of AI music. Here's what to listen for.
Signs of AI use in music
AI music can mean different things; models might generate a song's instrumentals, vocals, lyrics, or all three, or serve as smaller additive elements like vocal filters.
Vocals are often the easiest to catch, as artificial voices share similarities with the accent found in other generated content. Listen for a slurred or warbled voice that strains lyrics to fit the music, placing emphasis in unusual places while lacking the natural imperfections of a human voice. AI vocals also tend to remain monotonous throughout a song, rarely changing inflection.
That monotony usually applies to structure and instrumentals, which typically lack dynamic shifts, key changes, or interesting bridges. Much of this output heavily mirrors Western pop music formulas due to the training data used.
For lyrics, watch for a lack of metaphor and simile, awkward or ungrammatical phrasing, and no overarching theme or point. Artificial lyrics also tend to repeat ideas and imagery rather than build on them.
External signs of an AI artist
If any AI music slips past audio tells, look at the context surrounding it. Platform-specific labeling tools or external detection utilities can sometimes flag artificial tracks, though occasional false positives mean further verification is wise.
A quick search for the band or artist behind a song should reveal live performances, social media profiles, and interviews. Should you find no trace of the artist online alongside a glut of tracks featuring generated album art, you have likely encountered a content farm rather than a traditional musician.
