{
  "source": "Cooked Index — occupational AI risk register",
  "page": "https://cookedindex.com/jobs/musicians-and-singers/",
  "methodology": "https://cookedindex.com/methodology",
  "notice": "Verdicts are re-examined as evidence accumulates. Re-fetch before relying on this; the page above always carries the current score.",
  "scored_at": "2026-08-11",
  "model": "claude-opus-5",
  "occupation": {
    "title": "Musicians and Singers",
    "soc_code": "27-2042",
    "category": "Media",
    "us_employment": 36180,
    "median_annual_wage": null
  },
  "verdict": "EXPOSED",
  "risk_resistance": 56,
  "contested": false,
  "near_boundary": false,
  "dimensions": {
    "task_resistance": 12,
    "embodiment": 16,
    "liability_shield": 1,
    "trust_premium": 17,
    "judgment_accountability": 10
  },
  "reasoning": {
    "task_resistance": "A 12 rather than 16 because the two halves of the income split cleanly: nobody prompts a model to cover a two-hour reception set or hold a first-violin chair through a Mahler run, but the cue beds, jingle stings, scratch vocals, and 30-second stock underscores that used to pay the rent between gigs are now generated in a browser at broadcast-usable quality.",
    "embodiment": "A 16 fits because the work happens in load-in hours and uncontrolled rooms — hauling a rig up stairs, tuning against stage heat and humidity, reading a conductor's beat, monitoring a wedge mix in a bad-sounding hall, embouchure and calluses maintained by daily physical practice — though it stops short of 19 because studio and remote-session work is done sitting in a treated room.",
    "liability_shield": "A 1 is correct: no state licenses musicians, and the only gatekeepers are union cards (AFM Local, AGMA) and audition panels, which control access to specific contracts but do not legally reserve the act of performing to anyone.",
    "trust_premium": "A 17 reflects that bookings run on named individuals — the bride hired your quartet, the MD calls the same sub list, the congregation knows the organist, your students' parents pay for you specifically — and repeat referral is the whole business development pipeline, capped below 19 only because pit and session chairs are genuinely fungible once you're on the list.",
    "judgment_accountability": "A 10 covers real discretion inside fixed constraints: you decide set order when the crowd flattens, transpose on the spot for a singer with a cold, fake a chart you were handed at soundcheck, and improvise a solo nobody will hear twice — but the downside of a bad call is an awkward night, not injury or legal exposure, which keeps it out of the 14+ band."
  },
  "rationale": "The live gig — playing a wedding, a club set, a church service, a pit orchestra — is embodied, unrepeatable, and exactly what audiences pay for, and generative audio does not touch it. What it does touch is the paying substrate underneath: library and stock music, jingles, backing tracks, demo vocals, session overdubs, and low-budget scoring are already being replaced by prompt-generated audio at usable quality. The modal worker here is a patchwork earner (gigs plus teaching plus recording), and the recording slice of that patchwork is shrinking fastest.",
  "outlook": "Recorded and commercial-music income keeps eroding as generative audio floods the low end, while live performance, worship, weddings, and teaching hold up — the job survives but leans harder on being physically in the room.",
  "what_would_raise_it": {
    "levers": [
      {
        "dimension": "trust_premium",
        "change": "Human-performance certification and disclosure becoming a purchasing condition: e.g. AFM contract riders requiring live human players, streaming platforms labelling AI-generated tracks (Deezer already tags them; Spotify's AI disclosure policy) and listeners/curators filtering them out, plus venue/festival billing guarantees of live musicianship. If 'verified human' becomes a paid tier rather than a label, this rises a few points from an already-high base.",
        "plausibility": "already happening",
        "would_add": 2
      },
      {
        "dimension": "trust_premium",
        "change": "Union or collecting-society terms that force ad agencies and film/TV productions to license human-performed music at fixed minimums (SAG-AFTRA/AFM AI provisions on synthetic performers and consent-and-compensation for voice/likeness). If AI-generated cues carry consent-clearance risk that human sessions do not, buyers pay for the human to avoid the clearance problem.",
        "plausibility": "plausible",
        "would_add": 1
      },
      {
        "dimension": "task_resistance",
        "change": "Task-mix shift: as library music, demo vocals and backing tracks go to prompt audio, the paid remainder is live performance, bespoke arranging for specific rooms and ensembles, and one-to-one teaching — work generative audio does not deliver. The occupation genuinely has a routine tier and a judgment tier; losing the routine tier raises the average resistance of what remains even as total earnings fall.",
        "plausibility": "already happening",
        "would_add": 3
      },
      {
        "dimension": "judgment_accountability",
        "change": "Formalised music-director and contractor roles: pit-orchestra MDs, church music directors, and gig contractors who own the call on repertoire, tempo, personnel and salvaging a failing set. If more players consolidate into MD/bandleader positions with named contractual responsibility for the performance, this rises.",
        "plausibility": "plausible",
        "would_add": 3
      }
    ],
    "ceiling_note": "Liability shield has no route — no licensure, no signature, no personal liability exists or is being proposed for performing musicians, and none plausibly will be. The high trust premium and embodiment scores protect the live gig but not the income: the register measures the role's resistance, not the size of the market, and the shrinking recording substrate shows up as lost earnings rather than a lower score. Realistic ceiling is low-to-mid 60s."
  },
  "adjudication": null,
  "employment_history": {
    "points": [
      {
        "y": 2017,
        "emp": 40170,
        "wage": null
      },
      {
        "y": 2018,
        "emp": 41680,
        "wage": null
      },
      {
        "y": 2019,
        "emp": 41130,
        "wage": null
      },
      {
        "y": 2020,
        "emp": 34770,
        "wage": null
      },
      {
        "y": 2021,
        "emp": 24080,
        "wage": null
      },
      {
        "y": 2022,
        "emp": 31750,
        "wage": null
      },
      {
        "y": 2023,
        "emp": 35520,
        "wage": null
      },
      {
        "y": 2024,
        "emp": 38350,
        "wage": null
      },
      {
        "y": 2025,
        "emp": 36180,
        "wage": null
      }
    ],
    "from": 2017,
    "to": 2025,
    "change_pct": -9.9,
    "comparable_from": 2019,
    "spans_soc_revision": true
  },
  "pivots": [],
  "license": "https://cookedindex.com/terms"
}