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Dossier #27 // technical exposure assessment

High exposure

Marketing Managers

Category: Management · SOC 11-2021.00 · Industry: Sales & marketing

AI Exposure (AI-estimated)

53/100
0.0

Moderate exposure

Last updated

3 Oct 2026

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

Evidence

4 sources

12 core tasks shown · 8 secondary hidden

Verdict

Marketing Managers High exposure: 3 of 12 core tasks show high task automation potential : exposure 53/100 (moderate exposure).

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

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Score breakdown

Why this score?

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

AI Exposure (composite)53/100

Methodology 2026-09-a · score v1.0 · input hash b656ab19c55a6551

AI capability exposure71/100

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

Task automation potential48/100

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

Observed AI adoption54/100

Evidence that AI is actually being used for this work.

Labour-market signal0/100

Observed changes in postings, employment or earnings.

Evidence strength63/100

Quantity and source quality of the evidence behind the score.

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

Overview

Plan, direct, or coordinate marketing policies and programs, such as determining the demand for products and services offered by a firm and its competitors, and identify potential customers. Develop pricing strategies with the goal of maximizing the firm's profits or share of the market while ensuring the firm's customers are satisfied. Oversee product development or monitor trends that indicate the need for new products and services.

Employment

≈350,000

approx. BLS OES

Median wage

≈$157,000

approx. BLS OES

Tasks tracked

20

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

  2. 02
    Veo 388/100

    Google DeepMind · 1 evidence item

  3. 03
    Sora84/100

    OpenAI · 1 evidence item

Evidence

Evidence trail

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

  1. model releaseincreasesconfidence 88/100 · magnitude 529 Dec 2024

    Sora made short text-to-video generation publicly available, followed by competing systems with synchronised audio in 2025.

    Applies to short-form motion production. It does not currently replace shooting, interviewing, or long-form post-production, which is why video-editing exposure is moderate rather than extreme.

    Source: OpenAI · Updated 9 Dec 2024

  2. 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

  3. model releaseincreasesconfidence 86/100 · magnitude 4820 May 2025

    Veo 3 generates video clips with matching speech and sound, removing a separate audio post-production step for short-form content.

    Narrows the gap for social and advertising formats. Commercial and broadcast post-production remains largely unaffected.

    Source: Google DeepMind · Updated 20 May 2025

  4. adoptionincreasesconfidence 72/100 · magnitude 541 Apr 2025

    The AI Index reports continued increases in the share of organisations using generative AI in at least one business function, alongside rapid benchmark gains on reasoning and coding tasks.

    Survey-based adoption evidence across firms. Useful for the adoption component and for interpreting why capability and adoption diverge by occupation.

    Source: Stanford HAI — Artificial Intelligence Index Report 2025 · Updated 1 Apr 2025

Historical trend

Exposure over time

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

Marketing Managers AI exposure backcast, quarterly from 2021Reconstructed exposure series with 23 checkpoints. Current value 53 out of 100. 5 observed snapshots recorded since tracking began.1000502021-01-012026-07-010042
Score · 23 points · 2021-01-01 to 2026-07-01

Reconstruction, not measurement. 5 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. New model
    IMPACT 48

    Video generation with synchronised audio and dialogue

    Veo 3 generates video clips with matching speech and sound, removing a separate audio post-production step for short-form content.

    Frontier releaseConfidence:86 · highVerified by AIKillsWhat
  2. AI adoption signal
    IMPACT 54

    Business adoption of AI rose again in 2025 surveys

    The AI Index reports continued increases in the share of organisations using generative AI in at least one business function, alongside rapid benchmark gains on reasoning and coding tasks.

    Enterprise deploymentConfidence:72 · moderateVerified by AIKillsWhat
  3. New model
    IMPACT 52

    Text-to-video generation became commercially available

    Sora made short text-to-video generation publicly available, followed by competing systems with synchronised audio in 2025.

    Frontier releaseConfidence:88 · highVerified by AIKillsWhat
  4. 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

Related

Related Occupations

Occupations sharing major SOC group (11) with Marketing Managers.

faq

Frequently Asked Questions

Common questions regarding Marketing Managers and AI exposure.

Will AI replace Marketing Managers?

Current AI models show an exposure score of 53/100 for Marketing Managers. This measures technical capability to assist or automate specific tasks rather than predicted immediate job loss. Moderate exposure reflects assistance in routine information-handling while core responsibilities require human judgment.

Which tasks in Marketing Managers have the highest AI exposure?

The most exposed tasks for Marketing Managers include "Compile lists describing product or service offerings." (80% exposure) and "Evaluate the financial aspects of product development, such as budgets, expenditures, research and development appropri…" (60% exposure).

What aspects of Marketing Managers can AI not do yet?

Tasks with the lowest AI exposure for Marketing Managers include "Direct the hiring, training, or performance evaluations of marketing or sales staff and oversee their daily activities." (18% exposure) and "Coordinate or participate in promotional activities or trade shows, working with developers, advertisers, or production…" (25% exposure). These responsibilities typically require physical dexterity, licensed human accountability, or complex interpersonal navigation.

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Notice: All ratings shown are AI-estimated technical exposure scores measuring technical capabilities across O*NET task statements, not predicted job loss. Contains information from O*NET 31.0 by the U.S. Department of Labor, ETA, used under CC BY 4.0.