Skip to main content
A/KAI Kills What?

Dossier #8 // career autopsy

Moderate exposure Low confidence

Fine Artists and Illustrators

Category: Arts, design & media · Industry: Media & creative

AI Exposure

47/100
0.0

Moderate exposure

Last updated

12 Oct 2026

19 hours ago · sources: BLS OES (approx) · O*NET

Evidence

3 sources

2 core tasks shown · 2 secondary hidden

Verdict

Fine Artists and Illustrators Moderate exposure: only 1 of 2 core tasks show high task automation potential : exposure 47/100 (moderate exposure).

1 model with published evidence against this job. Strongest: FLUX.1 (90/100 capability).

Share this verdict:

Score breakdown

Why this score?

Every component is stored with the score row and can be recomputed from the evidence table.

AI Exposure (composite)47/100

Methodology 2026-09-a · score v1.0 · input hash fe9408eca162f6b9

AI capability exposure79/100

Strength of current models on the capabilities this job's tasks require.

Task automation potential40/100

Task-level exposure, weighted by task importance. A component of the headline, not the headline itself.

Observed AI adoption0/100

Evidence that AI is actually being used for this work.

Labour-market signal64/100

Observed changes in postings, employment or earnings.

Evidence strength54/100

Quantity and source quality of the evidence behind the score.

3 evidence item(s) contribute. Calculated 19 hours ago. 12 Oct 2026 UTC.

Overview

Produces original artwork and illustration for commercial and artistic use. Style-matched generation competes directly with commissioned commercial illustration.

Employment

≈50,000

approx. BLS OES

Median wage

≈$60,000

approx. BLS OES

Tasks tracked

4

linked to this occupation

Employment and wage values are approximate reference figures from the BLS Occupational Employment and Wage Statistics programme, stored with an approximation flag. Verify against the O*NET record and BLS before quoting them.

Tasks

Task-level automation exposure

Core tasks only. Exposure describes how much of the task output current AI can produce or substantially assist - not whether the task disappears. Secondary shared-baseline edges are hidden until per-occupation curation is complete.

Killers

Which models affect this job most

Ranked by strongest demonstrated capability. Task and evidence counts come from the attributed evidence trail below.

  1. 01
    FLUX.190/100

    Black Forest Labs · 1 evidence item

Evidence

Evidence trail

3 attributed item(s). Confidence reflects study design: randomised and production deployments score higher than platform observations, which score higher than projections.

  1. capabilityincreasesconfidence 88/100 · magnitude 721 Aug 2024

    FLUX.1 and subsequent open-weight diffusion models produce legible text and layout-consistent imagery, making them usable for marketing collateral rather than only concept art.

    Raises the automation component for routine image production tasks. Brand-system design and art direction remain largely unaffected.

    Source: Black Forest Labs / Hugging Face Hub · Updated 1 Aug 2024

  2. labor marketincreasesconfidence 74/100 · magnitude 627 Mar 2024

    Using platform data from a large online labour market, the authors find that after ChatGPT's release, jobs more exposed to AI automation experienced a relative decline in the number of projects and in freelancer earnings compared with less-exposed jobs.

    One of the few *observational labour-market outcome* studies. It is platform-specific, covers remote freelance work only, and cannot separate AI substitution from other demand shifts. Treated here as a genuine labour-market signal with medium confidence.

    Source: Hui, Reshef & Zhou — The Short-Term Effects of Generative AI on Online Labour Markets · Updated 7 Mar 2024

  3. labor marketincreasesconfidence 72/100 · magnitude 667 Mar 2025

    Studying a large stock-content platform around the integration of image-generation models, the authors find a decline in the number of active graphic designers and in their earnings, with effects concentrated in routine and less-distinctive work.

    The most directly relevant observational study for visual design work. Platform-specific and limited to stock content rather than brand or agency work, which is why the graphic-designer score is not at the top of the index despite strong capability evidence.

    Source: Zhou, Cheng, Burtch & Qiu — The Impact of Generative AI on Creative Workers' Labour Market (arXiv:2503.04956) · Updated 7 Mar 2025

Historical trend

Exposure over time

Backcast series: recomputed at quarterly checkpoints using only the models and evidence published by each date.

Fine Artists and Illustrators AI exposure backcast, quarterly from 2021Reconstructed exposure series with 23 checkpoints. Current value 47 out of 100. 14 observed snapshots recorded since tracking began.1000502021-01-012026-07-010037
Score · 23 points · 2021-01-01 to 2026-07-01

Reconstruction, not measurement. 14 observed daily snapshot(s) exist for this occupation; the earlier part of the curve is derived by applying the current methodology to the model releases and published evidence available at each past date.

Recent events

Signals affecting this occupation

  1. Research published
    IMPACT 40

    Internalizing Agent Experience into Diffusion Model Weights via On-Policy Context Distillation

    arXiv:2610.07250v1 Announce Type: new Abstract: Wrapping an image generation model in an agentic harness can effectively boost Text-to-Image task performance: the harness can leverage memory, skills, workflow orchestration, result verification, and iterative refinement to continually construct and revise prompts, thereby eliciting better images. These gains, however, remain external to the diffusion model and are realized only while the full harness runs. We propose Diffusion On-Policy Context Distillation (D-OPCD), which treats the agent-improved prompt as privileged context and distills the

    Labor researchConfidence:74 · moderateVerified by AIKillsWhat
  2. Research published
    IMPACT 40

    Keep It CALM: Analyzing the Limits of Global Unsafety in Text-to-Image Generation

    arXiv:2610.02300v1 Announce Type: new Abstract: Training-free safeguards for text-to-image generation often rely on a reusable safety signal, such as an unsafe direction or global toxic subspace, applied broadly across prompts. We provide a controlled geometric analysis of this global-unsafety assumption and reveal a consistent coverage-selectivity trade-off: compact unsafe subspaces fail to cover heterogeneous unsafe semantics, whereas broader aggregation increasingly distorts safety-adjacent benign prompts. Motivated by this finding, we propose CALM (Counterfactual Adaptive Local Modulation)

    Labor researchConfidence:74 · moderateVerified by AIKillsWhat
  3. Research published
    IMPACT 40

    Traversing the Satisfaction-Diversity Frontier in Text-to-Image Diffusion

    arXiv:2610.02372v1 Announce Type: new Abstract: Text-to-image generation enables users to explore several images generated from the same prompt. For these generated images to be useful, each one must reflect the user's preferences, measured by a learned reward, and differ visually from the others to maintain diversity. Existing methods are limited: they either address reward and diversity separately or combine them in one aggregate score, enabling high diversity to offset low rewards. In this paper, we address these limitations by formulating generation as satisficing: every image (candidate)

    Labor researchConfidence:74 · moderateVerified by AIKillsWhat
  4. Occupation score change
    IMPACT 90

    graphic illustrator exposure decreased 9.0 points

    AI Exposure Score moved from a previous calculation to 47/100 under methodology v1.0. 3 evidence item(s) contributed.

    Verified signalConfidence:55 · lowVerified by AIKillsWhat
  5. Labour market update
    IMPACT 66

    After image-generation adoption, fewer active graphic designers and lower earnings

    Studying a large stock-content platform around the integration of image-generation models, the authors find a decline in the number of active graphic designers and in their earnings, with effects concentrated in routine and less-distinctive work.

    Workforce dataConfidence:72 · moderateVerified by AIKillsWhat
  6. New capability
    IMPACT 72

    Open-weight image models reached production-quality text rendering

    FLUX.1 and subsequent open-weight diffusion models produce legible text and layout-consistent imagery, making them usable for marketing collateral rather than only concept art.

    Verified signalConfidence:88 · highVerified by AIKillsWhat
  7. Labour market update
    IMPACT 62

    Automation-prone freelance work saw fewer projects and lower earnings after ChatGPT

    Using platform data from a large online labour market, the authors find that after ChatGPT's release, jobs more exposed to AI automation experienced a relative decline in the number of projects and in freelancer earnings compared with less-exposed jobs.

    Workforce dataConfidence:74 · moderateVerified by AIKillsWhat

Related

Other occupations in this industry