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Understanding how automation changes work — task by task, with the evidence shown and the uncertainty admitted.

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On this pageWhat is happeningTask breakdownRecent changesFor youWhat it means for youWhat you can doHow we knowWhat these rest on
Occupations›Animator and VFX artist

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Animator and VFX artist

Makes things move on screen — character animation, the drawings between key poses, rigs for 3D models, and visual effects such as rotoscoping, compositing, de-ageing and set extension. Most visual effects studios surveyed in France now use AI, mostly for rotoscoping, compositing and set extension; streamers use generative AI for de-ageing and previsualisation; research tools draw in-betweens, segment video and rig models. But the largest Japanese anime studio plans to grow by hiring hundreds of people, French employment data find no clear AI effect on storyboarders, and US projections expect employment to hold roughly steady.

Media & creativeAssessed 2026-09-30
Tasks automating
1of 7
4 being augmented
Still human-led
2of 7
0 new tasks
Evidence-backed judgements
4of 7
13 verified records
Test this week · first of 3 directions

List the steps in your last shot and mark which ones a tool already did or could do.

See all 3 ↓
52/100
Automation impact indexLow confidence

This is not a probability of losing your job. It combines how much of the role's task load is exposed to automation with how far adoption has actually gone — useful for comparing occupations on one consistent basis, and for nothing else.

Where this applies

Written for animators and visual effects artists in film, television, games and advertising — 2D and 3D animation, rigging, rotoscoping, compositing and other effects work. Illustrators, video editors and graphic designers have their own pages. The evidence is a US labour projection, the animation union's agreement, a French state survey of studios, French payroll data on storyboarders, annual reports and investor documents from studios and streamers, research papers and Japanese copyright guidance; it establishes where AI is used in production and what hiring and rules say, not how animators' incomes have changed.

What is happening

What is actually changing#

The unit of analysis is the task, not the job title. A role is not replaced — its task mix shifts.

AutomatingBeing augmentedStill human-ledNew taskStriped: our inference, not yet backed by a verified record

Each tile is one task. Its size is how much of the job it is; its colour is where the task is heading. Click a tile to see what the judgement does not establish.

Core task
Character animation
Still human-led≈ Platform inference
What this does NOT mean

One company's plan and one country's survey of studios; neither measures how many animators are employed across the industry.

Read this task in full →
Significant task
In-betweening and 2D clean-up
Being augmented≈ Platform inference
What this does NOT mean

Research results on the authors' own data; they do not show production use or employment effects.

Read this task in full →Make this your first AI experiment at work →
Significant task
Rigging and 3D modelling
Being augmented≈ Platform inference
What this does NOT mean

A benchmark on the authors' own dataset, with an author from a company that sells AI 3D tools; not a measure of studio practice.

Read this task in full →Make this your first AI experiment at work →
Significant task
Rotoscoping and compositing
Automating✓ Evidence-backed
What this does NOT mean

Studio-reported use in one country and a benchmark; neither measures how many rotoscoping jobs remain.

Read this task in full →Make this your first AI experiment at work →
Significant task
Face work and environments
Being augmented✓ Evidence-backed
What this does NOT mean

A streamer describing its own productions to investors and one country's studio survey; neither says how much artist time changed.

Read this task in full →Make this your first AI experiment at work →
Peripheral task
Storyboards and previsualisation
Being augmented✓ Evidence-backed
What this does NOT mean

Company descriptions of their own work and one country's employment data; the employment series starts in 2018.

Read this task in full →Make this your first AI experiment at work →
Peripheral task
Rights, credit and contracts
Still human-led✓ Evidence-backed
What this does NOT mean

One US contract and non-binding Japanese guidance; other countries and studios differ.

Read this task in full →

Is this your job? Say so and this page narrows to your share of it.

A job title is a bundle of tasks bought together, and no two people hold the same bundle. Nothing is sent anywhere — it stays in this browser.

Character animationStill human-led≈ Platform inferenceIn-betweening and 2D clean-upBeing augmented≈ Platform inferenceRigging and 3D modellingBeing augmented≈ Platform inferenceRotoscoping and compositingAutomating✓ Evidence-backedFace work and environmentsBeing augmented✓ Evidence-backedStoryboards and previsualisationBeing augmented✓ Evidence-backedRights, credit and contractsStill human-led✓ Evidence-backed

Read all 7 tasks in full — direction, reasoning and limits →

Recent changes#

2023202420252026today2023-09-28 · CapabilityLine in-betweening is time-consuming and expensive work that can benefit from automation, researchers wrote in presenting a method that keeps line structure intact2024-05-28 · CapabilityGenerative cartoon interpolation with ToonCrafter handles large, non-linear motion between frames, with a sketch encoder letting a person steer the result2024-05-31 · ConstraintMaterial generated by AI from only a simple prompt is not a copyrighted work, while creative human additions or corrections generally are, Japan's copyright office said2024-08-01 · CapabilityMeta's SAM 2 segmented video more accurately with 3x fewer interactions than prior approaches, the core step in rotoscoping2024-12-02 · ConstraintProducers may require animation employees to use AI under the US animation union's agreement, but may not require prompts in a way that displaces covered employees2025-04-16 · CapabilityAutomatic rigging with UniRig improved rigging accuracy by 215% over earlier methods on hard datasets, though its authors say stylised characters may defeat it2025-05-31 · Labour impactStoryboarder employment in France held at 719 in 2024, and analysts found it difficult to conclude that AI tools had affected it2025-10-21 · DeploymentNetflix told shareholders filmmakers used generative AI to de-age characters in Happy Gilmore 2, and another production used it for pre-visualisation2025-10-29 · ForecastSeveral hundred more hires, mostly for key occupations, will lift production capacity about 1.5 times amid a shortage of creators, Toei Animation told investors2026-03-16 · DeploymentiQIYI tells investors its in-house Imaging Studio tool generates anime character designs, concept art and storyboard designs2026-06-30 · Deployment71.0% of French visual effects studios that use AI apply it to rotoscoping and compositing assistance, and 74.2% to set extension, a state survey of studios found2026-07-16 · DeploymentRoughly 300 of Netflix's 2026 titles used generative AI workflows, concentrated in post-production, including crowds and battle sequences, the company told shareholders2026-08-27 · ForecastSpecial effects artists and animators will see little or no job change from 2025 to 2035, though AI may dampen demand, the US Bureau of Labor Statistics estimated
Can move a judgementCannot move one (forecast, capability demo…)
Forecast2026-08-27Verified 2026-09-30
Special effects artists and animators will see little or no job change from 2025 to 2035, though AI may dampen demand, the US Bureau of Labor Statistics estimated

United States. The statistics bureau projects that employment of special effects artists and animators will show little or no change from 2025 to 2035, from 51,900 to 51,800, with about 4,200 openings a year, and says some animation and special effects tasks can be completed more quickly with artificial intelligence, which may dampen demand for this occupation. It counts jobs for one country, not tasks.

A named person with standing publicly predicted something, on a date, in an attributable statement. It is recorded so that who said what, and when, stays checkable — and it never moves a task's assessment, because a prediction is not an observation. Its value arrives later: the record sits on the same page as the evidence about that occupation, so anyone reading the forecast reads the record of what happened next beside it. That is the reckoning; this site publishes no verdict on whether a forecast came true.

U.S. Bureau of Labor Statistics — Occupational Outlook Handbook: Special Effects Artists and Animators (Last modified date: August 27, 2026) ↗Full impact card →
Deployment2026-07-16Verified 2026-09-30
Roughly 300 of Netflix's 2026 titles used generative AI workflows, concentrated in post-production, including crowds and battle sequences, the company told shareholders

A streaming company's letter to shareholders. It says that in 2026 generative AI workflows have been used in roughly 300 of its titles, with the largest concentration of work in post-production, that productions would in some cases have had to leave out key shots and sequences without the technology, and names three titles that used it for enhanced crowds, historical battle sequences and worldbuilding establishing shots. It is the company's own count, without a definition of what counts as use, and it says nothing about headcount.

An employer has put it into production. Can move the baseline — weighted by scale and how similar the setting is.

Netflix, Inc. — Q2 2026 letter to shareholders (July 16, 2026) ↗Full impact card →
Deployment2026-06-30Verified 2026-09-30
71.0% of French visual effects studios that use AI apply it to rotoscoping and compositing assistance, and 74.2% to set extension, a state survey of studios found

France. A survey of 91 animation, postproduction and visual effects studios between 7 April and 11 June 2026 reports that 97.0% of visual effects studios have used AI tools; among those using AI, 71.0% of visual effects studios apply it to rotoscoping and compositing assistance, 74.2% to landscapes and set extension and 48.4% to capturing and modifying faces, while 48.3% of animation studios using AI apply it to rotoscoping and compositing and 31.0% to character animation. Only 47.7% of animation studios are satisfied with the tools. The agency warns that the small, changing sample makes comparisons with earlier waves uncertain; it measures studio-reported use, not jobs.

An employer has put it into production. Can move the baseline — weighted by scale and how similar the setting is.

Centre national du cinéma et de l'image animée (CNC) — Baromètre des usages de l'IA dans le cinéma et l'audiovisuel 2026, volet studios d'animation, de postproduction et de VFX (Juin 2026) ↗Full impact card →
Deployment2026-03-16Verified 2026-09-30
iQIYI tells investors its in-house Imaging Studio tool generates anime character designs, concept art and storyboard designs

A video platform and producer's annual report. It says its Imaging Studio supports the automatic generation of graphic and video designs such as anime character design, concept art design, game character design and storyboard design, and that its AI systems generate promotional materials more efficiently than a manual process. It is the company describing its own tool; it gives no volume or headcount figures.

An employer has put it into production. Can move the baseline — weighted by scale and how similar the setting is.

iQIYI, Inc. — Annual Report on Form 20-F for the fiscal year ended December 31, 2025 (filed March 16, 2026) ↗Full impact card →
Forecast2025-10-29Verified 2026-09-30
Several hundred more hires, mostly for key occupations, will lift production capacity about 1.5 times amid a shortage of creators, Toei Animation told investors

Japan, one of the largest animation producers. Its medium-term plan says it will build a global production structure centred on Asia to increase production capacity by about 1.5 times, lists recruiting several hundred more employees mostly for key occupations, and names a shortage of creators and rising production costs as structural problems; AI appears only among adjacent technologies. It is a company plan to investors, not a measured outcome.

A named person with standing publicly predicted something, on a date, in an attributable statement. It is recorded so that who said what, and when, stays checkable — and it never moves a task's assessment, because a prediction is not an observation. Its value arrives later: the record sits on the same page as the evidence about that occupation, so anyone reading the forecast reads the record of what happened next beside it. That is the reckoning; this site publishes no verdict on whether a forecast came true.

Toei Animation Co., Ltd. — Medium-Term Management Plan VISION2030, April 2026 – March 2031 (investor presentation dated October 29, 2025) ↗Full impact card →
Deployment2025-10-21Verified 2026-09-30
Netflix told shareholders filmmakers used generative AI to de-age characters in Happy Gilmore 2, and another production used it for pre-visualisation

A streaming company's letter to shareholders. It says filmmakers on Happy Gilmore 2 used generative AI coupled with machine learning and its visual effects company Eyeline's volumetric capture to de-age characters in the opening flashback, that the producers of Billionaires' Bunker used generative AI tools during pre-production including for pre-visualisation of wardrobe and set designs, and that it has released production guidance for creators. It is the company describing its own productions to investors; it says nothing about headcount.

An employer has put it into production. Can move the baseline — weighted by scale and how similar the setting is.

Netflix, Inc. — Q3 2025 letter to shareholders (Exhibit 99.1 to Form 8-K, October 21, 2025) ↗Full impact card →
Labour impact2025-05-31Verified 2026-09-30
Storyboarder employment in France held at 719 in 2024, and analysts found it difficult to conclude that AI tools had affected it

France. Payroll-declaration data from the sector's social-protection group count 719 active storyboarders in 2024, up 0.6% on the year and 39.9% on 2018, and the note concludes that it is difficult to find a positive or negative effect of AI tools on storyboarders' employment, any effect being marginal so far compared with other factors. It covers salaried storyboarders in one country from 2018 and includes six interviews.

Verifiable change in hiring, headcount, hours or job scope. Highest weight — but causal attribution still has to be argued, not assumed.

Observatoire des métiers AFDAS × Audiens × CNC — Note de conjoncture sur l'emploi et le travail des storyboarders (Mai 2025) ↗Full impact card →
Capability2025-04-16Verified 2026-09-30
Automatic rigging with UniRig improved rigging accuracy by 215% over earlier methods on hard datasets, though its authors say stylised characters may defeat it

A research method for automatic rigging and skinning of 3D models. The authors report that it significantly outperforms state-of-the-art academic and commercial methods, achieving a 215% improvement in rigging accuracy and a 194% improvement in motion accuracy on challenging datasets, and note it might struggle with highly unusual skeletal structures such as those in abstract or highly stylised characters. The benchmark uses the authors' own dataset; one author is from a company that sells AI 3D generation tools.

A demo, benchmark or paper shows the task can be done. Updates what the technology can do — not what employers will do.

Zhang, Pu, Guo, Cao and Hu (Tsinghua University and VAST) — One Model to Rig Them All: Diverse Skeleton Rigging with UniRig, arXiv:2504.12451 (submitted 16 Apr 2025) ↗Full impact card →
Constraint2024-12-02Verified 2026-09-30
Producers may require animation employees to use AI under the US animation union's agreement, but may not require prompts in a way that displaces covered employees

United States, animation studios covered by the Animation Guild's contract. The agreement says producers may require employees to use any AI system or its output in covered work; that producers will not require an employee to provide prompts in a manner that results in the displacement of any covered employee; and that a producer shall give advance written notice to an employee who might be asked or required to use a generative AI system. It is one collective agreement for one set of employers.

Failure, rollback, regulation or cost is suppressing adoption. Can lower an assessment or widen its uncertainty.

The Animation Guild, IATSE Local 839, and the AMPTP — Memorandum of Agreement of August 1, 2024 (fully executed copy dated December 2, 2024) ↗Full impact card →
Capability2024-08-01Verified 2026-09-30
Meta's SAM 2 segmented video more accurately with 3x fewer interactions than prior approaches, the core step in rotoscoping

A research model released by Meta. The authors report that in video segmentation it achieves better accuracy using 3x fewer interactions than prior approaches, and that in image segmentation it is more accurate and 6x faster than the original Segment Anything Model. Segmentation is the step rotoscoping automates; the model is still interactive, and the paper measures benchmarks, not studio use.

A demo, benchmark or paper shows the task can be done. Updates what the technology can do — not what employers will do.

Ravi, Gabeur, Hu et al. (Meta FAIR) — SAM 2: Segment Anything in Images and Videos, arXiv:2408.00714 (submitted 1 Aug 2024) ↗Full impact card →
Constraint2024-05-31Verified 2026-09-30
Material generated by AI from only a simple prompt is not a copyrighted work, while creative human additions or corrections generally are, Japan's copyright office said

Japan. The overview says material autonomously generated by AI, including with only simple prompts, is not a creative expression and is not considered a copyrighted work, while any additions or corrections made by humans to AI-generated material that can be considered creative expressions are generally considered copyrighted works. It states that the General Understanding is not legally binding; it is the subcommittee's view of current law.

Failure, rollback, regulation or cost is suppressing adoption. Can lower an assessment or widen its uncertainty.

Japan Copyright Office (Agency for Cultural Affairs) — General Understanding on AI and Copyright in Japan: Overview (May 2024) ↗Full impact card →
Capability2024-05-28Verified 2026-09-30
Generative cartoon interpolation with ToonCrafter handles large, non-linear motion between frames, with a sketch encoder letting a person steer the result

A research method for generating in-between frames of cartoons. The authors say traditional methods often fail on the exaggerated, non-linear and large motions with occlusion common in cartoons, present a generative approach, and design a flexible sketch encoder that gives users interactive control over the interpolation results. It is a lab result; it does not show studio use.

A demo, benchmark or paper shows the task can be done. Updates what the technology can do — not what employers will do.

Xing, Liu, Xia, Zhang et al. — ToonCrafter: Generative Cartoon Interpolation, arXiv:2405.17933 (submitted 28 May 2024) ↗Full impact card →
Capability2023-09-28Verified 2026-09-30
Line in-betweening is time-consuming and expensive work that can benefit from automation, researchers wrote in presenting a method that keeps line structure intact

A research method for in-betweening black-and-white line drawings. The authors say in-betweening is a time-consuming and expensive process that can benefit from automation, and that frame interpolation methods based on warping whole raster images produce blurring that damages line structures, which their geometric method avoids. It is trained on a dataset of line drawings the authors built; it does not show studio use.

A demo, benchmark or paper shows the task can be done. Updates what the technology can do — not what employers will do.

Siyao, Gu, Xiao, Ding et al. — Deep Geometrized Cartoon Line Inbetweening, arXiv:2309.16643 (ICCV 2023; submitted 28 Sep 2023) ↗Full impact card →
What it means for you

What this means for you#

If you are starting out

If you are starting out, expect the most repetitive entry-level work — rotoscoping, clean-up, simple in-betweens — to be where tools arrive first, and aim for the work studios still hire people for: character performance, and shots that need judgement.

If you are experienced

Expect AI to take over more of the mechanical steps in your pipeline, and your value to move towards performance, supervising shots and fixing what tools get wrong. Read what your contract says about AI use.

Your options#

Four directions, each with its real constraints and one thing you can test this week. Continuing as you are is a legitimate choice — it just has to be a chosen one.

Stay and strengthen

Stay, and move towards character performance

Studios plan to hire for key animation, and animation studios are the least satisfied with AI tools.

Real constraints

Key animation roles are competitive and usually follow years of junior work.

Test this week

List the steps in your last shot and mark which ones a tool already did or could do.

Reshape the role

Become the person who runs the tools in the pipeline

Most visual effects studios surveyed already use AI for rotoscoping, compositing and set extension, and someone has to set it up and check the results.

Real constraints

The tools change quickly, and studios differ in what they allow.

Test this week

Ask your supervisor which AI tools your studio allows in final shots, and which only in tests.

Adjacent move

Move into games or real-time animation

Games use the same character animation and rigging skills, in real-time engines rather than rendered shots.

Real constraints

Game studios have their own hiring cycles and technical requirements.

Test this week

Look at three game or real-time animation job postings and list the engine skills they ask for.

Common questions#

Will AI replace animators?

It is taking over some steps, not the job. Most visual effects studios surveyed in France use AI, mostly for rotoscoping, compositing and set extension, and research tools can draw in-betweens and rig models. But the largest Japanese anime studio plans to hire hundreds more people, French data find no clear AI effect on storyboarders' employment, and US projections expect special effects artists and animators to show little or no change from 2025 to 2035.

How long do I have before this job disappears?

We do not answer that with a number of years. Watch which steps of your pipeline studios hand to tools — rotoscoping and compositing first, according to studios themselves — and whether your studio is hiring for key animation. That tells you more than any date.

Which animation and VFX jobs are most exposed to AI?

Rotoscoping and compositing, where studios report using AI most, followed by set extension and face work. Character performance is where studios still plan to hire people.

Can a studio make me use AI?

Under the US animation union's agreement, yes: producers may require employees to use AI systems, but must give advance written notice and may not require prompts in a way that results in displacing a covered employee. Elsewhere it depends on your contract.

How we know

What these judgements rest on#

4 of 7 task judgements on this page are backed by a verified event and 3 are platform inference, each labelled where it appears. Behind them sit 2 technology dimensions, a reconstructed trajectory since language models reached the public, and 13 verified events.

See which technologies, how it got here, and the method →

Where it sits in the official classification: skills, knowledge, related jobs →

Other roles in the same function#

A company divides its work into functions before it divides it into jobs. These sit in Marketing & content alongside this one — a fact about org charts, not a judgement that they are similar or that they are changing in the same direction.

Marketing specialist · Copywriter · Writer and author · Graphic designer · Photographer · Illustrator · Video editor · Voice actor · Musician and composer · Actor and model · Content creator