AI Automation Index

Will AI Replace Talent Directors?

Task-level automation exposure for Talent Directors: 15 O*NET tasks scored against their work activities, plus the simulator.

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Developed & audited by Gini Loh

Automation Exposure

46% weighted task index

15 of 15 tasks scored

Median Salary

$90,360 / year

BLS OEWS, May 2025 — this exact occupation

Employment Level

High

143,120 people hold this job — size, not growth

Projected 2025–35

+4.0% employment change

12,100 openings a year · BLS line item

Pay by state

BLS OEWS publishes 51 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.

$38,820 – $129,790

Highest medians

California $129,790

New Jersey $119,840

New York $107,550

District of Columbia $104,270

Connecticut $88,260

Lowest medians

Arkansas $38,820

West Virginia $46,660

Mississippi $48,100

Puerto Rico $48,820

Nebraska $52,580

State figures come from the 27-2012 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.

What the score is made of

Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.

Automation potential 46%

Importance-weighted mean of the scored tasks. This is the headline index.

Physical work 0%

Share of weighted tasks in hands-on or machine-operating work activities.

Judgment & influence 39%

Share in analysis, decisions, teaching, directing, advising, or caring for others.

Routine administration 8%

Share in documenting, recording, and administrative activities.

Rewritten by O*NET 0%

Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.

Consequence of error 2/100 Low

O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.

Constituent Task Mix

15 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.

High exposure (≥ 60% of the task is automatable) 21%

3 tasks

Medium exposure (≥ 35%) 63%

9 tasks

Low exposure (below 35%) 17%

3 tasks

How would you survive?

Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.

Simulate Upskilling →

Constituent Tasks

#11018 · Core · 35% automatable

Audition and interview performers to match their attributes to specific roles or to increase the pool of available acting talent.

interpersonal — Interviewing and judging performers is human relational work

Audition or interview potential performers or staff members.

#11020 · Core · 35% automatable

Prepare actors for auditions by providing scripts and information about roles and casting requirements.

interpersonal — AI can coach content; mentorship relationship is human

Collaborate with others to prepare or perform artistic productions. Support the professional development of others. Coach others.

#11017 · Core · 32% automatable

Select performers for roles or submit lists of suitable performers to producers or directors for final selection.

decision support — Selection judgment and accountability remain human

Select staff, team members, or performers.

#11024 · Core · 45% automatable

Contact agents and actors to provide notification of audition and performance opportunities and to set up audition times.

decision support — AI aids logistics planning; on-site event execution human

Coordinate logistics for productions or events.

#11021 · Core · 45% automatable

Serve as liaisons between directors, actors, and agents.

decision support — AI aids logistics planning; on-site event execution human

Coordinate logistics for productions or events.

#11023 · Core · 35% automatable

Negotiate contract agreements with performers, with agents, or between performers and agents or production companies.

interpersonal — Service negotiation needs live bargaining authority

Negotiate for services.

#11026 · Core · 45% automatable

Arrange for or design screen tests or auditions for prospective performers.

decision support — AI aids logistics planning; on-site event execution human

Coordinate logistics for productions or events.

#11015 · Core · 35% automatable

Review performer information, such as photos, resumes, voice tapes, videos, and union membership, to decide whom to audition for parts.

interpersonal — Interviewing and judging performers is human relational work

Audition or interview potential performers or staff members.

#11019 · Core · 85% automatable

Maintain talent files that include information such as performers' specialties, past performances, and availability.

data analysis — Maintain files and records in structured systems

Maintain records, documents, or other files.

#11016 · Core · 64% automatable

Read scripts and confer with producers to determine the types and numbers of performers required for a given production.

text generation — Script comprehension and requirement extraction well handled

Study scripts to determine project requirements. Collaborate with others to determine technical details of productions.

#11022 · Core · 82% automatable

Attend or view productions to maintain knowledge of available actors.

information retrieval — AI tracks trends across sources continuously

Monitor current trends.

#21139 · Supplemental · 23% automatable

Direct shows, productions, and plays.

interpersonal — Directing live productions requires human leadership

Direct productions or performances. Coordinate musical rehearsals or performances.

#11025 · Supplemental · 32% automatable

Hire and supervise workers who help locate people with specified attributes and talents.

decision support — Selection judgment and accountability remain human

Select staff, team members, or performers.

#21140 · Supplemental · 55% automatable

Teach acting classes.

text generation — Lecture content and materials largely AI-draftable; delivery human

Teach classes in area of specialization. Teach humanities courses at the college level.

#11027 · Supplemental · 45% automatable

Locate performers or extras for crowd and background scenes, and stand-ins or photo doubles for actors, by direct contact or through agents.

decision support — AI aids logistics planning; on-site event execution human

Coordinate logistics for productions or events.

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Community Sentiment

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Method

How this was scored

1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.

Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.

Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast

See the full method →

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