What we think — By WATMM Desk —

Will AI replace producers, musicians and songwriters? No, but it will cut what the work pays

What we think: AI is not about to empty the studio: the best labour data shows flat headcounts for musicians and composers through 2035. The real threat is to income, not jobs, as cheap generated music competes for the same royalty and licensing money. Musicians should fight over that money, not over whether the job survives.

The honest answer to "will AI replace musicians" is that the jobs look stable and the pay does not. Here is what the labour data, the CISAC study and Ditto's artist survey actually say, and what we think follows.

No. AI is not on track to replace producers, musicians or songwriters as jobs, but it is on track to take a large share of what that work pays. The fight worth having is over the money, not the job title.

What the numbers say

  • The US Bureau of Labor Statistics counts about 170,400 musician and singer jobs in 2025 and projects "little or no change" from 2025 to 2035, with about 17,400 openings a year (BLS).
  • Music directors and composers held about 51,100 jobs in 2025, projected to grow 1% by 2035, with a May 2025 median wage of $73,710 (BLS).
  • A study by PMP Strategy for CISAC, the global body of authors' societies, puts 24% of music creators' revenues at risk by 2028, and about €10 billion of cumulative music-creator losses over five years (CISAC).
  • Ditto Music's May 2025 survey found 48% of artists have used AI somewhere in their music-making, down from 59.5% in 2023, and 18% say they would never use it (Ditto).

Start with what's free

The cheapest way to see where you stand costs nothing: try the free tiers of the tools you're worried about on a track you've already finished, and judge the output against your own ears. We walk through doing that without losing your sound in using an AI co-producer, and through what automated mastering does and doesn't do in how AI mastering works.

Why "replace" is the wrong question

The labour forecasts are the strongest evidence against the replacement story. The BLS projections for both musicians and composers run to 2035, well into the generative-AI era, and show flat or near-flat headcounts rather than a collapse (BLS; BLS). Forecasts can be wrong, and these are US-only, but they are the most careful public numbers we have.

Musicians aren't behaving as if they're being replaced either. Ditto found AI use among artists fell between 2023 and 2025, and that 42% cite a lack of personal creativity as their biggest concern, up from 23% (Ditto). Ditto lists mastering, artwork, songwriting and general production as uses. Our read: AI is being absorbed as a set of tools around the music, and the part people value most is the part they keep for themselves.

Where the real damage lands

The CISAC study measures something different from jobs: revenue. Its authors expect the market for generated music and audiovisual content to grow from about €3 billion to €64 billion by 2028, and the music share of AI providers' revenue to rise from €0.1 billion in 2023 to €4 billion (CISAC). CISAC is an interested party and this is a projection, so treat the figures as a scenario, not a count. But the mechanism is plain: generated tracks compete for the same playlist slots, sync briefs and library placements that pay working musicians.

That is how a job survives while the living goes. A composer who used to sell twenty library cues a year may still be a composer in the statistics while selling five. Flat headcounts and falling income are not a contradiction; they are what this kind of disruption usually looks like.

What we think

Stop asking whether AI will replace you and start asking who gets paid when it's used. Three things follow:

  1. Licensing over prohibition. Part of the CISAC losses come from unlicensed use of creators' work (the rest from AI output substituting for human work); consent and payment for training data address that part directly. Our explainer on AI training-data licensing covers the options.
  2. Credit what's human. Disclosure lets listeners and buyers choose people. See how to disclose AI use through your distributor.
  3. Use the tools where they're cheap and dull. Most of the Ditto uses are chores. Hand those off, keep the writing and the sound.

FAQ

Will AI replace music producers? Not on current evidence. US labour projections for musicians and composers (BLS has no separate producer category) show stable employment through 2035; the pressure is on fees and royalties.

Will AI replace songwriters? The job is projected to persist, but CISAC estimates a quarter of music creators' revenue is at risk by 2028.

Are most musicians using AI? About half, per Ditto's 2025 survey, and fewer than in 2023.

Updated 29 Oct 2026.

Sources

  1. Musicians and Singers: Occupational Outlook Handbook, US Bureau of Labor Statistics (primary source). Accessed 29 Oct 2026.
  2. Music Directors and Composers: Occupational Outlook Handbook, US Bureau of Labor Statistics (primary source). Accessed 29 Oct 2026.
  3. Global economic study shows human creators' future at risk from generative AI, CISAC (primary source). Accessed 29 Oct 2026.
  4. 48% of artists use AI to make music, fewer than in 2023, Ditto Music (primary source). Accessed 29 Oct 2026.

Researched with AI assistance, written and checked by WATMM Desk.

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