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AI job disruption forecasting — Issue 2

As artificial intelligence continues advancing, the role of Digital Marketing Manager faces varying levels of disruption across its core tasks.

Figure 1 illustrates the automation potential and expected timeline for different work activities. Tasks like “Develop machine learning models” and “Analyze data trends” show high automation potential (up to 90%) with significant shifts predicted between 2025 and 2032. Comparatively, more strategic activities such as “Develop organizational strategy” remain less susceptible in the near term, with a lower potential (15–60%) and timelines stretching out to 2040.

Figure 2 projects these same tasks under an Artificial General Intelligence (AGI) disruption scenario. Here, automation potential soars across the board: data-driven and technical tasks could see 90–98% automation, while even strategic and communicative roles face substantial risks. Notably, “Analyze business performance” and “Develop business processes” could become highly automatable once AGI capabilities mature.

These insights suggest that while digital marketing managers are likely to see automation reshape analytical and technical functions first, uniquely human skills like strategic planning, creativity, and stakeholder communication will be key to staying relevant in an AI-driven future.