Share and intensity of work current AI systems can materially affect.
SOC 41-9012
Models AI displacement risk
AI-generated models now appear in real advertising campaigns — the concrete displacement case for commercial image work. Fit modeling, runway, and on-set presence remain physical, while likeness rights become the contested frontier.
Likely potential for exposed tasks to move to software after workflow integration.
This is one of the few roles where generative AI substitutes the product directly: brands can generate campaign imagery without a booking. The anchors are physical (fit, runway, live events) and legal (likeness rights), not photographic.
Distribution
Where Models sits across 620 tracked roles
Displacement pressure 52 — higher than 81% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-15. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
10 O*NET task statements matched to SOC 41-9012. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $48,470 (May 2025, US national). The latest BLS row matched SOC 41-9012.
Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.
2030 economic stress test
How Anthropic's scenarios classify Models
SOC 41-9012 places this role in the paper's cognitive occupation group. These group-level outcomes do not change the 52/100 role score and are not an occupation forecast.
+0.4% group wage
-0.5% cognitive employment since mid-2026; 2.9% cognitive unemployment.
Economy-wide: +1.6% GDP and 3.9% unemployment.
-0.3% group wage
-3.9% cognitive employment since mid-2026; 4.5% cognitive unemployment.
Economy-wide: +8.3% GDP and 4.6% unemployment.
-11.5% group wage
-21.5% cognitive employment since mid-2026; 17.9% cognitive unemployment.
Economy-wide: +32.4% GDP and 11.9% unemployment.
Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.
Official task evidence
O*NET task matches for Models
The current evidence import matched 10 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.
Dataset31.0 (August 2026)
Matched tasks10
SOC41-9012
- Core task / ID 23931
Pose for artists and photographers.
- Supplemental task / ID 13217
Record rates of pay and durations of jobs on vouchers.
- Supplemental task / ID 13215
Gather information from agents concerning the pay, dates, times, provisions, and lengths of jobs.
- Supplemental task / ID 13218
Report job completions to agencies and obtain information about future appointments.
- Supplemental task / ID 13219
Assemble and maintain portfolios, print composite cards, and travel to go-sees to obtain jobs.
- Supplemental task / ID 13225
Pose as directed, or strike suitable interpretive poses for promoting and selling merchandise or fashions during appearances, filming, or photo sessions.
Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.
Task profile
Where AI changes the work
Pose for photos and filming
Exposure 68, automation 52%, augmentation 32%.
O*NET evidence: Pose as directed, or strike suitable interpretive poses for promoting and selling merch... (ID 13225)
Maintain appearance through diet and exercise
Exposure 24, automation 10%, augmentation 30%.
O*NET evidence: Follow strict routines of diet, sleep, and exercise to maintain appearance. (ID 13216)
Work runway and live events
Exposure 18, automation 6%, augmentation 28%.
Manage bookings and portfolios
Exposure 52, automation 30%, augmentation 56%.
TaskExposureAutomationAugmentation
Pose for photos and filming6852%32%
Maintain appearance through diet and exercise2410%30%
Work runway and live events186%28%
Manage bookings and portfolios5230%56%
Transition pathways
Adjacent moves that preserve existing skills
role redesign
ModerateFit Model Specialist
Training horizon: 1-3 months. Skill overlap 66. Wage preservation signal 104.
- Build fit-model relationships with brands
- Learn garment specification basics
- Document measurement consistency
industry switch
ModerateContent Creator and Personality
Training horizon: 3-6 months. Skill overlap 58. Wage preservation signal 118.
- Build an owned audience
- Produce personality-led content
- License likeness deliberately
Comparison guides
Compare the next move before you commit
1-3 months
Models to Fit Model Specialist
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Models into Fit Model Specialist.
3-6 months
Models to Content Creator and Personality
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Models into Content Creator and Personality.
What the AI risk score means for Models
The displacement pressure score for Models is 52. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.
For this role, the clearest risk pattern is visible at the task level. Pose for photos and filming carries 52% automation pressure, while Manage bookings and portfolios carries 56% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.
Labor-market context and wage risk
Median wage: $48,470 (May 2025, US national). Employment context: Image-based occupation at the center of generative-imagery disruption. Typical education: No formal credential; portfolio and representation matter.
Wage vulnerability is 74, while transition feasibility is 58. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.
- Moderate to high displacement pressure
- AI models appear in commercial campaigns
- Fit and runway work stays physical
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Models, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.
On-camera presentation
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Physical fitness
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Portfolio management
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Client relations
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
90-day transition plan
The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.
- In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
- By 60 days, complete one small project connected to Fit Model Specialist, such as build fit-model relationships with brands.
- By 90 days, compare internal openings and external postings for Fit Model Specialist or Content Creator and Personality and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Models
Will AI replace Models?
AI-generated models now appear in real advertising campaigns — the concrete displacement case for commercial image work. Fit modeling, runway, and on-set presence remain physical, while likeness rights become the contested frontier. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.
Which parts of Models work are most exposed to AI?
Pose for photos and filming and Manage bookings and portfolios show the strongest automation pressure in this model. Manage bookings and portfolios and Pose for photos and filming are better treated as AI-augmented work.
What should Models learn next?
Start with On-camera presentation, Physical fitness, Portfolio management. The most practical adjacent paths in this model are Fit Model Specialist and Content Creator and Personality.
How should this score be used?
Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.
Sources
Evidence trail
International Labour Organization / 20 May 2025Generative AI and Jobs: A Refined Global Index of Occupational ExposureMcKinsey Global Institute / 26 July 2023Generative AI and the Future of Work in AmericaO*NET Resource Center / Database 31.0 (August 2026)Occupation, Task, Skill, and Work-Activity DataUS Bureau of Labor Statistics / May 2025 estimates (released 15 May 2026)Occupational Employment and Wage Statistics