Share and intensity of work current AI systems can materially affect.
SOC 11-2021
Advertising and Promotions Managers AI displacement risk
Generative tools now produce ad copy, layout variations, and media plans at scale, compressing agency production layers. Media-buying judgment, creative direction, client trust, and campaign accountability keep advertising leadership human-led.
Likely potential for exposed tasks to move to software after workflow integration.
Unlike brand-focused marketing management, this role owns media and creative output — the layers AI is disrupting fastest. Managers who direct AI-assisted production and own performance accountability gain leverage; production coordinators lose it.
Distribution
Where Advertising and Promotions Managers sits across 620 tracked roles
Displacement pressure 46 — higher than 76% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-08. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
20 O*NET task statements matched to SOC 11-2021. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $166,790 (May 2025, US national). The latest BLS row matched SOC 11-2021.
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 Advertising and Promotions Managers
SOC 11-2021 places this role in the paper's cognitive occupation group. These group-level outcomes do not change the 46/100 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 Advertising and Promotions Managers
The current evidence import matched 20 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 tasks20
SOC11-2021
- Core task / ID 20709
Formulate, direct, or coordinate marketing activities or policies to promote products or services, working with advertising or promotion managers.
- Core task / ID 958
Use sales forecasting or strategic planning to ensure the sale and profitability of products, lines, or services, analyzing business developments and monitoring market trends.
- Core task / ID 951
Identify, develop, or evaluate marketing strategy, based on knowledge of establishment objectives, market characteristics, and cost and markup factors.
- Core task / ID 954
Direct the hiring, training, or performance evaluations of marketing or sales staff and oversee their daily activities.
- Core task / ID 952
Evaluate the financial aspects of product development, such as budgets, expenditures, research and development appropriations, or return-on-investment and profit-loss projections.
- Core task / ID 950
Develop pricing strategies, balancing firm objectives and customer satisfaction.
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
Plan advertising policies and strategies
Exposure 52, automation 24%, augmentation 68%.
O*NET evidence: Formulate, direct, or coordinate marketing activities or policies to promote products o... (ID 20709)
Prepare campaign budgets and estimates
Exposure 66, automation 36%, augmentation 70%.
Direct creative production teams
Exposure 30, automation 10%, augmentation 52%.
Analyze campaign effectiveness
Exposure 68, automation 38%, augmentation 74%.
TaskExposureAutomationAugmentation
Plan advertising policies and strategies5224%68%
Prepare campaign budgets and estimates6636%70%
Direct creative production teams3010%52%
Analyze campaign effectiveness6838%74%
Transition pathways
Adjacent moves that preserve existing skills
role redesign
ModeratePerformance Marketing Director
Training horizon: 3-6 months. Skill overlap 70. Wage preservation signal 104.
- Own channel economics
- Direct AI creative testing
- Build attribution models
adjacent role
ModerateBrand Strategy Director
Training horizon: 3-6 months. Skill overlap 64. Wage preservation signal 108.
- Lead positioning work
- Own brand architecture
- Set AI creative guidelines
Comparison guides
Compare the next move before you commit
3-6 months
Advertising and Promotions Managers to Performance Marketing Director
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Advertising and Promotions Managers into Performance Marketing Director.
3-6 months
Advertising and Promotions Managers to Brand Strategy Director
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Advertising and Promotions Managers into Brand Strategy Director.
What the AI risk score means for Advertising and Promotions Managers
The displacement pressure score for Advertising and Promotions Managers is 46. 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. Analyze campaign effectiveness carries 38% automation pressure, while Analyze campaign effectiveness carries 74% 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: $166,790 (May 2025, US national). Employment context: Campaign leadership role at the center of generative-creative change. Typical education: Bachelor's degree common.
Wage vulnerability is 34, while transition feasibility is 74. 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 displacement pressure
- Creative production is commoditizing
- Strategy and client trust endure
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Advertising and Promotions Managers, 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.
Media strategy
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.
Creative direction
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.
Campaign analytics
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.
AI content direction
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 Performance Marketing Director, such as own channel economics.
- By 90 days, compare internal openings and external postings for Performance Marketing Director or Brand Strategy Director and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Advertising and Promotions Managers
Will AI replace Advertising and Promotions Managers?
Generative tools now produce ad copy, layout variations, and media plans at scale, compressing agency production layers. Media-buying judgment, creative direction, client trust, and campaign accountability keep advertising leadership human-led. 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 Advertising and Promotions Managers work are most exposed to AI?
Analyze campaign effectiveness and Prepare campaign budgets and estimates show the strongest automation pressure in this model. Analyze campaign effectiveness and Prepare campaign budgets and estimates are better treated as AI-augmented work.
What should Advertising and Promotions Managers learn next?
Start with Media strategy, Creative direction, Campaign analytics. The most practical adjacent paths in this model are Performance Marketing Director and Brand Strategy Director.
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