Serve as liaisons between directors, actors, and agents.
Work task
“Serve as liaisons between directors, actors, and agents.” is a core task performed by Talent Directors. Among the occupation's 15 rated tasks, workers place it 10th by importance (#6 most important). About 97% of workers say it is relevant to their job.
This is a single occupation-specific task statement from O*NET. The figures below describe how central the task is to the job and what independent studies measure about AI and this kind of work — not a prediction that the task will be automated.
Work activities this task rolls up to
O*NET groups concrete tasks into broader work activities shared across many occupations.
AI exposure
The OpenAI / Eloundou “GPTs are GPTs” study rates this task E2. Exposure with tools — software built on top of a language model (not the model alone) could cut the time by at least half.
Exposure measures whether a model could meaningfully speed the task up — it is an estimate of overlap with model capabilities, not a measure of whether the work will be done by software. The study's intermediate score (β) for this task is 0.50. Automation potential label: T1.
Other tasks in this occupation
- Audition and interview performers to match their attributes to specific roles or to increase the pool of available acting talent. · importance 4.4
- Prepare actors for auditions by providing scripts and information about roles and casting requirements. · importance 4.4
- Select performers for roles or submit lists of suitable performers to producers or directors for final selection. · importance 4.3
- Contact agents and actors to provide notification of audition and performance opportunities and to set up audition times. · importance 4.2
- Negotiate contract agreements with performers, with agents, or between performers and agents or production companies. · importance 4.1
- Arrange for or design screen tests or auditions for prospective performers. · importance 4.0
- Review performer information, such as photos, resumes, voice tapes, videos, and union membership, to decide whom to audition for parts. · importance 4.0
- Maintain talent files that include information such as performers' specialties, past performances, and availability. · importance 4.0
- Read scripts and confer with producers to determine the types and numbers of performers required for a given production. · importance 3.6
- Direct shows, productions, and plays. · importance 3.5
- Hire and supervise workers who help locate people with specified attributes and talents. · importance 3.5
- Attend or view productions to maintain knowledge of available actors. · importance 3.4
- Teach acting classes. · importance 3.2
- Locate performers or extras for crowd and background scenes, and stand-ins or photo doubles for actors, by direct contact or through agents. · importance 3.1
See all tasks on the Talent Directors page.
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Serve as liaisons between directors, actors, and agents.." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/tasks/task-11021
Singulariki. (2026). Serve as liaisons between directors, actors, and agents.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tasks/task-11021
@misc{singulariki-task-11021,
title = {Serve as liaisons between directors, actors, and agents.},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
url = {https://singulariki.com/tasks/task-11021}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.