Computer and Information Systems Managers
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Plan, direct, or coordinate activities in such fields as electronic data processing, information systems, systems analysis, and computer programming.
The occupation of "Computer and Information Systems Managers" has an automation risk of 46.3%, which is closely aligned with its base risk of 47.1%. This mid-level risk reflects that, while many responsibilities involve structured processes and digital systems, a substantial portion requires human judgment and strategic oversight. The advancements in artificial intelligence and automation technologies are making tasks related to planning, coordination, and support more susceptible to automation, but not entirely replaceable. Thus, although automation can streamline many processes, the necessity for managerial oversight and high-level decision-making tempers the overall risk. The top three most automatable tasks for Computer and Information Systems Managers include: reviewing project plans to coordinate project activities, providing technical support to users, and developing computer information resources with a focus on data security, control, strategic computing, and disaster recovery. These tasks are susceptible because they follow repeatable patterns or rely on responding to well-defined issues—areas where advanced software and AI-powered help desks increasingly excel. For example, technical support can now often be handled via intelligent chatbots, and project tracking can be facilitated by sophisticated project management tools, while certain aspects of data management and disaster recovery can be managed by automated systems. Conversely, the most automation-resistant tasks require more nuanced skills and direct human involvement. This includes evaluating an organization’s technology use and recommending improvements, which necessitates a deep understanding of a business's unique needs and future goals—something current AI cannot fully emulate. Tasks such as meeting with stakeholders to foster cooperation and resolve multi-faceted problems depend heavily on interpersonal skills and contextual understanding. Additionally, while developing information resources is listed as both automatable and resistant, the automatable aspects are typically routine, whereas the resistant aspects require high-level strategic planning and creativity. Bottleneck skills like Originality (with levels at 3.3% and 3.5%) remain vital, as they involve creative problem-solving and innovative thinking—capabilities that are challenging for machines to replicate, further contributing to the occupation's moderate automation risk.