How much of this occupation’s work can be materially affected by current AI systems.
How likely exposure is to translate into reduced human demand.
Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured
Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.
What is driving the score?
Occupation scores are built from the task mix—not a single prediction about a job title.
Where AI can do more
Routine, digitized, and highly repeatable tasks face the greatest pressure.
- Contact corporate representatives, government officials, or community leaders to increase awareness of organizational causes, activities, or needs.74
- Formulate policies and procedures related to fundraising programs.74
- Direct activities of external agencies, establishments, or departments that develop and implement fundraising strategies and programs.73
- Develop strategies to encourage new or increased contributions.73
Where people still matter
These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.
- Direct activities of external agencies, establishments, or departments that develop and implement fundraising strategies and programs.01
- Develop strategies to encourage new or increased contributions.02
- Establish goals for soliciting funds, develop policies for collection and safeguarding of contributions, and coordinate disbursement of funds.03
- Develop fundraising activity plans that maximize participation or contributions and minimize costs.04
- Plan and direct special events for fundraising, such as silent auctions, dances, golf events, or walks.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Public Relations Specialists
Closely related work
Compare these careers →Advertising and Promotions Managers
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Compare these careers →Adoption and labour-market outlook
Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.
O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.
