How exposed this work is to automation, shown as ranges with the reasoning and sources.
The short version: this role is moderately exposed to automation, and a near-term shift looks unlikely.
It is a sourced range, not a verdict, and the detail is below.
Built on O*NET tasks, BLS pay and projections, and peer-reviewed AI-exposure research. Sources shown.
Data snapshot SNAPSHOT-2026-11-06. How it works
AI / softwarerange 45.8 to 69.8
Physical / roboticsrange 3.9 to 27.9
When the change is likely
Largely unaffectedlocal demand growing
What to do about it
Use AI to outpace AI.
Strategies to protect your livelihood, most important first.
1
Stay sharp; urgency is low
This role looks durable. Keep your skills current and watch for shifts in your field.
2
Lean into the human edge
The exposed parts are routine and cognitive. Invest in judgment, client relationships, and complex problem-solving that AI still cannot do.
3
Pivot toward Sales Managers
It is skill-adjacent and less exposed (48.3 vs 58). A lateral move now beats a forced one later.
4
Build a financial buffer
Keep 6 to 12 months of expenses and diversify your income, so a disruption is a setback rather than a catastrophe.
5
Add a recognised credential
A certification or license raises the bar against automation and signals value in a tightening market.
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Which of my tasks are exposed
Identify, develop, or evaluate marketing strategy, based on knowledge of establishment objectives, market characteristics, and cost and markup factors.
50.0
Formulate, direct, or coordinate marketing activities or policies to promote products or services, working with advertising or promotion managers.
50.0
Evaluate the financial aspects of product development, such as budgets, expenditures, research and development appropriations, or return-on-investment and profit-loss projections.
50.0
Develop pricing strategies, balancing firm objectives and customer satisfaction.
50.0
Compile lists describing product or service offerings.
57.8
Direct the hiring, training, or performance evaluations of marketing or sales staff and oversee their daily activities.
100.0
Consult with product development personnel on product specifications, such as design, color, or packaging.
50.0
Use sales forecasting or strategic planning to ensure the sale and profitability of products, lines, or services, analyzing business developments and monitoring market trends.
50.0
Longer, orange bars are more automatable; short green bars are resistant.
What is driving my result
lowers risk
raises risk
Task: Direct the hiring, training, or performance evaluations of marketing or sales staff and oversee their daily activities.
Task: Compile lists describing product or service offerings.
Local demand is growing
Lower-risk adjacent roles
Sales Managers
48.3
Search Marketing Strategists
50.8
Advertising and Promotions Managers
54.6
Business Intelligence Analysts
57.6
Market Research Analysts and Marketing Specialists
57.7
A full, ranked mitigation plan is part of the paid tiers.
How this score is calculated
Map Marketing Managers to its standard O*NET task list (8 core tasks).
Score each task for AI/software exposure (Eloundou et al. 2023) and physical/robotics exposure (an O*NET work-context proxy), each 0 to 100.
The two axis scores are the task averages: AI 57.8, robotics 15.9.
The timeline comes from the higher axis (57.8), shifted for local demand (growing), and seniority. It is read against your remaining working years.
Ranges are about ±12 points. A backtest against real BLS employment change shows the risk ranking holds in aggregate, but individual outcomes are predicted weakly, so results are ranges, never a flat verdict.
Sources: O*NET, Eloundou et al. (2023), GPTs are GPTs, O*NET Work Context, BLS CPI-U, BLS OEWS.
Snapshot SNAPSHOT-2026-11-06. Full method and backtest on How it works.