Are Vault Attendants at Risk Due to AI?

All information and record clerks not listed separately.

The occupation "Information and Record Clerks, All Other" has an automation risk of 0.0%, indicating that the likelihood of these jobs being automated in the near future is virtually nonexistent. This extremely low base risk is attributable to the diverse nature of tasks performed by information and record clerks, which often require adaptability, problem-solving skills, and direct human interaction that current technologies struggle to replicate. Unlike roles with highly standardized and repetitive procedures, these clerks are frequently called upon to manage complex information flows, address ad hoc data requests, and ensure the integrity of records in dynamically changing environments. As a result, efforts to automate the role encounter significant technical and practical barriers. The job also often interfaces with sensitive or confidential data, requiring a degree of discretion and ethical judgment that poses challenges for AI-based systems. Despite some component tasks being repetitive, the top three most automatable tasks in this occupation are data entry, basic document scanning and cataloging, and simple information retrieval. These functions involve relatively well-defined steps such as entering information into databases, digitizing and organizing physical records, and retrieving standard data entries upon request. Advances in OCR (Optical Character Recognition) and database querying have made these particular activities more automatable. Additionally, robotic process automation (RPA) can be used to streamline elementary administrative functions. However, these automated segments do not comprise the bulk or the most critical aspects of an Information and Record Clerk's responsibilities. On the other hand, the three most resistant tasks to automation are interpreting ambiguous documentation, directly liaising with stakeholders to resolve record discrepancies, and maintaining compliance with evolving organizational and legal requirements. These duties demand high-level cognitive skills, situational awareness, and interpersonal communication—areas where AI currently lacks proficiency. Bottleneck skills include complex problem-solving (advanced), adaptability (high), and ethical judgment (advanced). These skills are essential for handling exceptions, ensuring data accuracy, and maintaining trust—factors crucial for this role’s unique value proposition. The need for a nuanced understanding of both context and content, especially within regulated environments, further insulates these roles from automation.