Role Definition
| Field | Value |
|---|---|
| Job Title | Stunt Coordinator |
| Seniority Level | Mid-level (7-15 years experience) |
| Primary Function | Designs, choreographs, and oversees all stunts on film, television, and theatre productions. Breaks down scripts to identify action sequences, hires and manages stunt teams, conducts risk assessments, directs rehearsals, and supervises on-set execution of fights, falls, car chases, fire burns, and high-risk gags. Bears personal legal and safety accountability for the entire stunt crew. Often functions as second-unit director for action sequences. Collaborates daily with directors, producers, camera operators, SFX teams, and insurance/legal departments. BLS SOC 27-2011 (Actors, which includes stunt performers). |
| What This Role Is NOT | NOT a stunt performer/double (executes stunts but does not design or bear overall safety responsibility). NOT a fight choreographer only (narrower scope, typically martial arts/combat only). NOT a VFX supervisor (creates digital effects in post-production, not physical action on set). NOT a second-unit director (overlapping role, but the coordinator's primary function is safety and stunt design, not directing coverage). |
| Typical Experience | 7-15 years. Typically progressed from stunt performer through increasingly complex gags to coordinator. SAG-AFTRA registered. Often holds specialised certifications in rigging, pyrotechnics, precision driving, or high-fall systems. Strong portfolio of on-screen credits and an impeccable safety record required. |
Seniority note: Junior stunt performers (0-5 years, executing stunts under direction, no design or safety authority) would score lower — same physical protection but significantly less goal-setting, moral judgment, and liability. Senior coordinators/2nd unit directors (15+ years, department heads on tentpole films) would score similarly or higher — deeper accountability and stronger personal brand moats.
Protective Principles + AI Growth Correlation
| Principle | Score (0-3) | Rationale |
|---|---|---|
| Embodied Physicality | 3 | Every working day involves physical presence in dangerous, unstructured environments — active film sets with pyrotechnics, wire rigs, moving vehicles, heights, and fire. The coordinator physically demonstrates gags, tests rigging, and positions themselves on set to observe and halt unsafe execution. Each stunt environment is unique: different locations, terrain, weather, equipment configurations. Moravec's Paradox at maximum. |
| Deep Interpersonal Connection | 2 | Manages a team of stunt performers whose physical safety depends on the coordinator's judgment. Performers must trust the coordinator with their lives — literally. Builds trust with actors performing their own minor stunts, manages performer anxiety, and navigates the director's creative ambitions against safety limits. "My stunt coordinator" is a career-long trust relationship in the industry. |
| Goal-Setting & Moral Judgment | 2 | Sets the creative direction for all action sequences, translating a director's vision into physically achievable and safe stunt designs. Makes continuous judgment calls about what is safe to attempt versus what crosses the line into unacceptable risk. Bears personal moral and legal accountability if a performer is injured or killed — the coordinator's signature is on the safety assessment. |
| Protective Total | 7/9 | |
| AI Growth Correlation | 0 | AI adoption neither increases nor decreases demand for stunt coordination. Demand is driven by audience appetite for action content and streaming platform investment in tentpole productions — factors independent of AI trends. AI pre-visualisation tools make the planning phase more efficient but do not change the fundamental need for a human coordinator on set. |
Quick screen result: Protective 7/9 + Correlation 0 — Likely Green Zone (Resistant). Extreme physical danger, life-safety accountability, and deep performer trust. Proceed to confirm.
Task Decomposition (Agentic AI Scoring)
| Task | Time % | Score (1-5) | Weighted | Aug/Disp | Rationale |
|---|---|---|---|---|---|
| Stunt design, choreography & pre-visualisation | 25% | 2 | 0.50 | AUGMENTATION | AI pre-vis tools (Unreal Engine stuntvis, Move.ai motion capture, virtual production simulations) can model sequences, test camera angles, and simulate physics before physical rehearsal. But the coordinator designs the creative concept, assesses feasibility against real-world physics and human limits, and translates the director's vision into achievable action. AI accelerates ideation; the human owns the creative and safety design. |
| On-set safety management & execution oversight | 25% | 1 | 0.25 | NOT INVOLVED | Standing on active sets with fire, explosives, moving vehicles, wire rigs, and heights. Making real-time decisions to proceed or halt stunts based on conditions — wind, performer fatigue, equipment state, crew positioning. Bearing personal legal accountability if something goes wrong. No AI system can assume legal liability for human safety in a dangerous, unstructured physical environment. Irreducible human work. |
| Team management, casting & rehearsal direction | 20% | 1 | 0.20 | NOT INVOLVED | Hiring SAG-AFTRA stunt performers matched to actors' physical builds, assessing their skills through physical auditions, leading rehearsals where performers execute dangerous gags under the coordinator's direct supervision. Reading performer confidence, physical readiness, and stress levels. Managing team dynamics where trust is literally life-or-death. No AI involvement. |
| Director/department collaboration & creative problem-solving | 10% | 2 | 0.20 | AUGMENTATION | Collaborating with directors, DPs, SFX supervisors, and production designers to integrate stunts with camera coverage, practical effects, and set design. AI tools assist with scheduling and virtual production integration (LED wall pre-vis), but the creative negotiation — balancing the director's ambitions against safety, budget, and physical feasibility — is irreducibly human. |
| Risk assessment, compliance & insurance coordination | 10% | 2 | 0.20 | AUGMENTATION | Formal hazard analysis for every stunt: probability and severity assessment, procedural controls, equipment certification, medical standby requirements. AI could assist with data analysis of historical stunt injuries and risk modelling, but the coordinator personally signs off on every assessment and bears legal accountability. Insurance and legal teams require a named human responsible. |
| Administrative — budgets, schedules, paperwork | 10% | 4 | 0.40 | DISPLACEMENT | Budget tracking, scheduling stunt calls, equipment procurement, continuity documentation, and production paperwork. Structured data tasks that AI tools can largely automate. |
| Total | 100% | 1.75 |
Task Resistance Score: 6.00 - 1.75 = 4.25/5.0
Displacement/Augmentation split: 10% displacement, 45% augmentation, 45% not involved.
Reinstatement check (Acemoglu): Modest new task creation. AI pre-visualisation tools create a "digital stunt design" workflow that didn't exist before — coordinators now review and refine AI-simulated sequences as part of pre-production. Virtual production stages require coordinators to validate that physical stunts integrate safely with LED wall environments. But the core work — designing, supervising, and bearing accountability for dangerous physical action — is unchanged and expanding as streaming platforms invest in action-heavy content.
Evidence Score
| Dimension | Score (-2 to 2) | Evidence |
|---|---|---|
| Job Posting Trends | 0 | BLS projects "little or no change" for actors/performers (SOC 27-2011, 57,000 jobs, ~6,300 annual openings 2024-2034). Stunt coordinators are a niche subset not tracked separately. Indeed shows 51 stunt coordinator postings (March 2026) — a small, specialised market. Streaming platform investment in action content sustains demand but the total addressable market is tiny. Stable, not growing. |
| Company Actions | 0 | No entertainment companies cutting stunt departments citing AI. Major productions continue to employ full stunt teams. The 2023 SAG-AFTRA strike secured AI protections that reinforce human stunt work. Virtual production stages supplement but do not replace physical stunt coordination — The Mandalorian still employs full stunt teams despite pioneering LED wall production. |
| Wage Trends | 1 | ZipRecruiter reports average $25.03/hr ($52K annualised) with range to $76.5K for US stunt coordinators in 2026. Top coordinators on tentpole films earn significantly more ($150K+/production). Streaming competition for experienced coordinators has pushed rates upward. SAG-AFTRA minimums provide a wage floor. Growing modestly above inflation. |
| AI Tool Maturity | 1 | AI pre-vis tools (Unreal Engine, Move.ai, virtual stunt simulation) augment the design phase — modelling sequences, testing camera angles, simulating physics. De-aging and CGI face replacement reduce demand for some stunt doubles in close-up shots. But no AI tool performs or supervises physical stunts. The core 90% of the coordinator's work — on-set safety, team management, execution oversight — has no viable AI alternative. |
| Expert Consensus | 1 | Broad industry agreement that practical stunts persist. Directors prefer practical action for authenticity — audiences perceive real stunts as more visceral and impactful. SAG-AFTRA's AI protections explicitly guard against digital replacement of performers. VFX professionals acknowledge practical and digital effects are complementary, not substitutive. No expert predicts displacement of stunt coordination. |
| Total | 3 |
Barrier Assessment
Reframed question: What prevents AI execution even when programmatically possible?
| Barrier | Score (0-2) | Rationale |
|---|---|---|
| Regulatory/Licensing | 1 | SAG-AFTRA registration required for union film/TV work. Many jurisdictions require occupational safety certifications for pyrotechnics, rigging, and high-fall systems. Production insurance mandates a named stunt coordinator on every production involving stunts. Not as strict as medical licensing, but a meaningful regulatory framework governs who can coordinate stunts professionally. |
| Physical Presence | 2 | Essential and non-negotiable. The coordinator must be physically present on active sets with fire, explosives, wire rigs, moving vehicles, and heights. Environments are unstructured and unpredictable — outdoor locations, weather, equipment configurations change constantly. All five robotics barriers apply at maximum: dexterity, safety certification, liability, cost economics, cultural trust. No remote or automated alternative exists or is conceivable. |
| Union/Collective Bargaining | 2 | SAG-AFTRA represents stunt performers and coordinators in film/TV. The 2023 contract explicitly protects against AI replacement of performers and requires consent/compensation for digital likenesses. IATSE provides additional crew protections. Union agreements define crew minimums, rates, and working conditions. The 2023 strike demonstrated the industry's willingness to shut down production entirely over AI protections. |
| Liability/Accountability | 2 | Someone goes to prison if a stunt performer dies. The coordinator personally signs safety assessments and bears legal accountability for every stunt. Production companies, directors, and coordinators face criminal prosecution and civil liability for negligent stunt injuries or fatalities. AI has no legal personhood — a human MUST bear ultimate responsibility. This is the strongest possible liability barrier: life-or-death accountability with criminal consequences. |
| Cultural/Ethical | 1 | Strong audience and director preference for practical stunts — the knowledge that real humans performed dangerous action adds perceived value and authenticity. The George Carlin AI lawsuit and SAG-AFTRA strike demonstrated cultural resistance to AI replacement in performance. However, audiences are increasingly comfortable with CGI-enhanced action, and some close-up face replacement reduces stunt double visibility. Not as strong as the liability barrier. |
| Total | 8/10 |
AI Growth Correlation Check
Confirmed at 0 (Neutral). AI adoption does not increase or decrease demand for stunt coordination. The role exists because physical action sequences require a human responsible for designing and supervising dangerous activity — a need driven by audience demand for action content, not by AI trends. Virtual production tools create new workflows (digital pre-vis, LED wall integration) but do not change headcount requirements for stunt coordination. CGI face replacement and de-aging reduce demand for some stunt doubles in close-ups but do not reduce the need for the coordinator who designs and oversees the physical execution.
JobZone Composite Score (AIJRI)
| Input | Value |
|---|---|
| Task Resistance Score | 4.25/5.0 |
| Evidence Modifier | 1.0 + (3 x 0.04) = 1.12 |
| Barrier Modifier | 1.0 + (8 x 0.02) = 1.16 |
| Growth Modifier | 1.0 + (0 x 0.05) = 1.00 |
Raw: 4.25 x 1.12 x 1.16 x 1.00 = 5.5216
JobZone Score: (5.5216 - 0.54) / 7.93 x 100 = 62.8/100
Zone: GREEN (Green >=48, Yellow 25-47, Red <25)
Sub-Label Determination
| Metric | Value |
|---|---|
| % of task time scoring 3+ | 10% (administrative only) |
| AI Growth Correlation | 0 |
| Sub-label | Green (Stable) — AIJRI >=48 AND <20% of task time scores 3+ |
Assessor override: None — formula score accepted. The 62.8 places this role 14.8 points above the Green threshold, a comfortable margin. Sits between Comedian (53.8) and Makeup Artist Theatrical (68.2) — appropriate given the shared physical-performance protection profile. Higher than Comedian due to much stronger barriers (8 vs 3: union coverage, criminal liability, physical danger). Lower than Makeup Artist because the design/pre-vis phase (25% of time) is more AI-augmentable than prosthetic fabrication. Higher than Camera Operator (34.5) because the coordinator's safety accountability and unstructured danger environments are fundamentally non-automatable, whereas camera operation faces direct virtual production displacement.
Assessor Commentary
Score vs Reality Check
The 62.8 Green (Stable) label is honest and well-calibrated. The score is driven by three reinforcing factors: high task resistance (4.25) from irreducible physical danger and safety accountability, strong barriers (8/10) from union protection and criminal liability, and modestly positive evidence (3/10) from stable demand in an action-heavy streaming market. The role is not borderline — 14.8 points from the nearest zone boundary. Even if barriers weakened by 50% (hypothetically: union erosion + reduced liability enforcement), the score would drop to approximately 56.5 — still Green. The classification is not barrier-dependent.
What the Numbers Don't Capture
- CGI face replacement eroding stunt double demand. De-aging and deepfake face replacement technology is reducing demand for stunt doubles who match actors' appearance in close-up shots. This affects stunt performers more than coordinators, but a smaller performer pool could eventually compress the coordinator market. The coordinator's design and safety role persists regardless.
- Tiny addressable market. Stunt coordination is an extremely small occupation — perhaps 500-1,000 active coordinators in the US. BLS does not track it separately. The role is safe from AI but inherently limited in total opportunity. Green Zone score does not mean abundant jobs — it means the existing jobs are protected.
- Geographic and industry concentration. Work is concentrated in Los Angeles, Atlanta, Vancouver, London, and wherever major productions shoot. Outside production hubs, opportunities are virtually non-existent regardless of AI risk.
- Virtual production bifurcation. LED wall stages change how some action sequences are captured (real-time backgrounds instead of green screen) but do not change the need for a coordinator when physical stunts are involved. However, productions that shift entirely to CGI action (animation-style filmmaking) could reduce the coordinator's role on those specific projects.
Who Should Worry (and Who Shouldn't)
Coordinators with strong safety records, SAG-AFTRA standing, and relationships with directors and producers are safer than this score suggests. If you are the person a director calls by name because they trust you with their cast's lives — you are in one of the most AI-proof positions in the entire entertainment industry. Your value is not in the choreography (which AI can help visualise) but in the accountability, judgment, and trust that no algorithm can provide.
Stunt performers who primarily serve as body doubles for close-up face matching should pay more attention. CGI face replacement and de-aging technology is reducing the need for doubles whose primary value is looking like the lead actor. Performers whose value is purely physical skill execution (fights, falls, driving) remain protected. The single biggest separator: whether your value is in what you DO (dangerous physical skill) or what you LOOK LIKE (resembling the lead). Skill is protected; appearance matching is eroding.
What This Means
The role in 2028: The mid-level stunt coordinator uses AI pre-visualisation tools to model sequences before physical rehearsal, integrates stunts with virtual production LED wall environments, and reviews CGI-enhanced action in real-time playback. Administrative work is largely automated. But the core work — standing on a live set, making the call on whether a gag is safe to proceed, bearing personal liability for every performer's safety, and directing dangerous physical action — remains entirely human. Streaming platforms continue investing heavily in action content, sustaining demand.
Survival strategy:
- Build expertise in virtual production integration. Learn how to design and supervise stunts within LED wall environments. Understand what CGI can enhance and where practical action is non-negotiable. Coordinators who bridge physical and digital workflows will be the most valuable.
- Maintain an impeccable safety record and union standing. Your safety record IS your career. SAG-AFTRA registration, production insurance relationships, and a documented track record of zero-incident stunt execution are the moats that no AI can replicate.
- Adopt AI pre-visualisation tools for the design phase. Use Unreal Engine, motion capture analysis, and virtual stunt simulation to make your pre-production faster and more precise. This makes you more efficient and reduces risk — both of which increase your value to productions.
Timeline: 15-25+ years before any meaningful automation reaches on-set stunt supervision and safety accountability. Driven by the irreducible combination of unstructured physical danger, criminal liability, and the five robotics barriers (dexterity, safety certification, liability, cost economics, cultural trust). AI will continue improving the design and pre-vis phase, but the physical execution and safety oversight are untouchable.
