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Creative & Media · Updated Aug 2026

Talent Directors

Audition and interview performers to select most appropriate talent for parts in stage, television, radio, or motion picture productions.

JVS 2.0.0-phase4b
AI Exposure
72/100
High

How much of this occupation’s work can be materially affected by current AI systems.

Replacement Risk
59/100
Moderate

How likely exposure is to translate into reduced human demand.

Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured

Evidence quality
Confidence82/100
Task coverage84%

Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.

Task-level evidence

What is driving the score?

Occupation scores are built from the task mix—not a single prediction about a job title.

JVS 2.0.0-phase4b
TaskImportanceAI impactExposure
Prepare actors for auditions by providing scripts and information about roles and casting requirements.High
75
Maintain talent files that include information such as performers' specialties, past performances, and availability.Medium
75
Select performers for roles or submit lists of suitable performers to producers or directors for final selection.High
75
Review performer information, such as photos, resumes, voice tapes, videos, and union membership, to decide whom to audition for parts.High
74
Contact agents and actors to provide notification of audition and performance opportunities and to set up audition times.High
75
Audition and interview performers to match their attributes to specific roles or to increase the pool of available acting talent.High
61
Arrange for or design screen tests or auditions for prospective performers.High
75
Negotiate contract agreements with performers, with agents, or between performers and agents or production companies.High
60
Read scripts and confer with producers to determine the types and numbers of performers required for a given production.Medium
74
Attend or view productions to maintain knowledge of available actors.Medium
75
Hire and supervise workers who help locate people with specified attributes and talents.Medium
74
Locate performers or extras for crowd and background scenes, and stand-ins or photo doubles for actors, by direct contact or through agents.Medium
74
Most exposed

Where AI can do more

Routine, digitized, and highly repeatable tasks face the greatest pressure.

  1. Prepare actors for auditions by providing scripts and information about roles and casting requirements.75
  2. Maintain talent files that include information such as performers' specialties, past performances, and availability.75
  3. Select performers for roles or submit lists of suitable performers to producers or directors for final selection.75
  4. Contact agents and actors to provide notification of audition and performance opportunities and to set up audition times.75
Hardest to automate

Where people still matter

These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.

  1. Prepare actors for auditions by providing scripts and information about roles and casting requirements.01
  2. Maintain talent files that include information such as performers' specialties, past performances, and availability.02
  3. Select performers for roles or submit lists of suitable performers to producers or directors for final selection.03
  4. Review performer information, such as photos, resumes, voice tapes, videos, and union membership, to decide whom to audition for parts.04
  5. Contact agents and actors to provide notification of audition and performance opportunities and to set up audition times.05
Where else this work leads

Related occupations

Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.

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Beyond AI capability

Adoption and labour-market outlook

Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.

Human dependency71
Physical dependency21
Adoption pressure41
Labour-market resilience57
Methodology & sources

O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.

Confidence82/100
CalculatedAug 21, 2026
Read methodology →