Spezialeffekt-Künstler
Kunst, Design, Unterhaltung und MedienKI-Exposition
- Datenquelle: BLSVeröffentlicht: 2026-08
Hoch· relativ
NiedrigVier relative BänderSehr hochWert auf Berufsgruppenebene
Skala, Bezugsmenge und Quelle
Vier relative Bänder (Niedrig / Mittel / Hoch / Sehr hoch)
831 detaillierte Berufe in der BLS-Beschäftigungsprojektionstabelle. Der Wert wird je Code der National Employment Matrix (NEM) vergeben, daher erhalten Berufe mit demselben NEM-Code dasselbe Band
- Datenquelle: AnthropicVeröffentlicht: 2026-03
0.357
0.000Spannweite der hier geführten Werte0.745Skala, Bezugsmenge und Quelle
Index der beobachteten Exposition, 0–1 wie veröffentlicht
Auf O*NET-Aufgaben abgebildet
- Datenquelle: ILOVeröffentlicht: 2025
0.49
0.09Spannweite der hier geführten Werte0.70Wert auf Berufsgruppenebene
Skala, Bezugsmenge und Quelle
Index der Exposition gegenüber generativer KI, 0–1 wie veröffentlicht
ISCO-08-Berufsgattung — alle Berufe mit demselben Code erhalten diesen Wert
Von dieser Website berechnet, nicht von der IAO veröffentlicht: Von den 1.012 Berufen, die diese Website mit dem IAO-Datensatz verknüpft, erreichen oder übertreffen 21% diesen Wert.
Welche Art von Wert diese Quelle veröffentlicht
Die Kategorie von BLS ist ein relativer Rang und kein absolutes Niveau, und sie ist keine eigene Messung: Sie fasst die Perzentilränge des Berufs aus mehreren veröffentlichten Studien in vier Bänder zusammen. Sie ist weder eine Beschäftigungs- oder Lohnprognose noch eine Einführungswahrscheinlichkeit und unterscheidet nicht zwischen Automatisierung und Augmentierung.
Task-level exposure
Nur exponierte Aufgaben| Task | Claude.aiRaw / share % |
|---|---|
Use models to simulate the behavior of animated objects in the finished sequence.27-1014 | 0.309752.3 |
Develop briefings, brochures, multimedia presentations, web pages, promotional products, technical illustrations, and computer artwork for use in products, technical manuals, literature, newsletters, and slide shows.27-1014 | 0.156926.5 |
Design complex graphics and animation, using independent judgment, creativity, and computer equipment.27-1014 | 0.116419.7 |
Apply story development, directing, cinematography, and editing to animation to create storyboards that show the flow of the animation and map out key scenes and characters.27-1014 | 0.00390.7 |
Script, plan, and create animated narrative sequences under tight deadlines, using computer software and hand drawing techniques.27-1014 | 0.00290.5 |
Create basic designs, drawings, and illustrations for product labels, cartons, direct mail, or television.27-1014 | 0.00230.4 |
| Not observed on any surface — 8 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | |
Create two-dimensional and three-dimensional images depicting objects in motion or illustrating a process, using computer animation or modeling programs. | —0 |
Make objects or characters appear lifelike by manipulating light, color, texture, shadow, and transparency, or manipulating static images to give the illusion of motion. | —0 |
Participate in design and production of multimedia campaigns, handling budgeting and scheduling, and assisting with such responsibilities as production coordination, background design, and progress tracking. | —0 |
Assemble, typeset, scan and produce digital camera-ready art or film negatives and printer's proofs. | —0 |
Create pen-and-paper images to be scanned, edited, colored, textured, or animated by computer. | —0 |
Create and install special effects as required by the script, mixing chemicals and fabricating needed parts from wood, metal, plaster, and clay. | —0 |
Convert real objects to animated objects through modeling, using techniques such as optical scanning. | —0 |
Implement and maintain configuration control systems. | —0 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Implement and maintain configuration control systems.O*NET Task ID 6895 | 1.0 |
Design complex graphics and animation, using independent judgment, creativity, and computer equipment.O*NET Task ID 6882 | 0.5 |
Create two-dimensional and three-dimensional images depicting objects in motion or illustrating a process, using computer animation or modeling programs.O*NET Task ID 6883 | 0.5 |
Make objects or characters appear lifelike by manipulating light, color, texture, shadow, and transparency, or manipulating static images to give the illusion of motion.O*NET Task ID 6884 | 0.5 |
Assemble, typeset, scan, and produce digital camera-ready art or film negatives and printer's proofs.O*NET Task ID 6885 | 0.5 |
Apply story development, directing, cinematography, and editing to animation to create storyboards that show the flow of the animation and map out key scenes and characters.O*NET Task ID 6886 | 0.5 |
Script, plan, and create animated narrative sequences under tight deadlines, using computer software and hand drawing techniques.O*NET Task ID 6887 | 0.5 |
Create basic designs, drawings, and illustrations for product labels, cartons, direct mail, or television.O*NET Task ID 6888 | 0.5 |
Create pen-and-paper images to be scanned, edited, colored, textured, or animated by computer.O*NET Task ID 6889 | 0.5 |
Develop briefings, brochures, multimedia presentations, web pages, promotional products, technical illustrations, and computer artwork for use in products, technical manuals, literature, newsletters, and slide shows.O*NET Task ID 6890 | 0.5 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page