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.
- Identify appropriate Key Performance Indicators (KPIs) and report key metrics from digital campaigns.82
- Optimize shopping cart experience or Web site conversion rates against Key Performance Indicators (KPIs).82
- Communicate and collaborate with merchants, Webmasters, bloggers, or online editors to strategically place hyperlinks.82
- Optimize digital assets, such as text, graphics, or multimedia assets, for search engine optimization (SEO) or for display and usability on internet-connected devices.81
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.
- Propose online or multiple-sales-channel campaigns to marketing executives.01
- Execute or manage banner, video, or other non-text link ad campaigns.02
- Execute or manage social media campaigns to inform search marketing tactics.03
- Manage tracking and reporting of search-related activities and provide analyses to marketing executives.04
- Collaborate with other marketing staff to integrate and complement marketing strategies across multiple sales channels.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Market Research Analysts and Marketing Specialists
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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.
