Specify users and user access levels for each segment of database.
Work task
“Specify users and user access levels for each segment of database.” is a core task performed by Database Administrators. Among the occupation's 18 rated tasks, workers place it 15th by importance (#4 most important). About 87% of workers say it is relevant to their job.
This is a single occupation-specific task statement from O*NET. The figures below describe how central the task is to the job and what independent studies measure about AI and this kind of work — not a prediction that the task will be automated.
Work activities this task rolls up to
O*NET groups concrete tasks into broader work activities shared across many occupations.
AI exposure
The OpenAI / Eloundou “GPTs are GPTs” study rates this task E1. Direct exposure — a language model could plausibly cut the time to do this task by at least half.
Exposure measures whether a model could meaningfully speed the task up — it is an estimate of overlap with model capabilities, not a measure of whether the work will be done by software. The study's intermediate score (β) for this task is 1.00. Automation potential label: T3.
How AI is actually used on this kind of task
The Anthropic Economic Index observes how people actually use AI on tasks like this one across millions of real conversations.
- 0.003% share of AI-use records mapped to this task
- 84% of that use is work-related
- Most common interaction: feedback loop
- Average autonomy of the AI: 3.3 (1–5; higher = more autonomous)
- 84% of interactions still needed a human in the loop
Observed AI use describes people choosing to use AI as a tool on this kind of task today. It is augmentation and assistance, not a measure of jobs replaced.
Working with AI vs. handing it off
Of the AI conversations mapped to this task, the split between people working alongside AI and people delegating the task to it.
How people interact with AI on this task
| Interaction pattern | Share | % | What it means |
|---|---|---|---|
| feedback loop | 32% | AI does it, then adjusts from your feedback | |
| learning | 30% | you ask AI to explain or teach you | |
| directive | 22% | you give the instruction; AI produces a finished result | |
| task iteration | 13% | you and AI go back and forth on the work |
Other tasks in this occupation
- Modify existing databases and database management systems or direct programmers and analysts to make changes. · importance 4.0
- Plan, coordinate, and implement security measures to safeguard information in computer files against accidental or unauthorized damage, modification or disclosure. · importance 3.9
- Plan and install upgrades of database management system software to enhance database performance. · importance 3.9
- Test changes to database applications or systems. · importance 3.8
- Test programs or databases, correct errors, and make necessary modifications. · importance 3.7
- Train users and answer questions. · importance 3.6
- Provide technical support to junior staff or clients. · importance 3.5
- Approve, schedule, plan, and supervise the installation and testing of new products and improvements to computer systems, such as the installation of new databases. · importance 3.5
- Develop standards and guidelines for the use and acquisition of software and to protect vulnerable information. · importance 3.4
- Write and code logical and physical database descriptions and specify identifiers of database to management system, or direct others in coding descriptions. · importance 3.1
- Develop data model describing data elements and how they are used, following procedures and using pen, template, or computer software. · importance 3.1
- Select and enter codes to monitor database performance and to create production database. · importance 3.1
- Identify, evaluate and recommend hardware or software technologies to achieve desired database performance. · importance 3.0
- Review procedures in database management system manuals to make changes to database. · importance 3.0
See all tasks on the Database Administrators page.
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Specify users and user access levels for each segment of database.." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/tasks/task-1305
Singulariki. (2026). Specify users and user access levels for each segment of database.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tasks/task-1305
@misc{singulariki-task-1305,
title = {Specify users and user access levels for each segment of database.},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
url = {https://singulariki.com/tasks/task-1305}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.