Discuss data presentation requirements with clients.
Work task
“Discuss data presentation requirements with clients.” is a supplemental task performed by Statistical Assistants. Among the occupation's 14 rated tasks, workers place it 2nd by importance (#13 most important). About 60% 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 E0. No direct exposure — current language models give little or no time savings on this task.
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 0.00. Automation potential label: T1.
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.
- 0.029% share of AI-use records mapped to this task
- 56% of that use is work-related
- Most common interaction: directive
- Average autonomy of the AI: 3.3 (1–5; higher = more autonomous)
- 99% 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 |
|---|---|---|---|
| directive | 31% | you give the instruction; AI produces a finished result | |
| learning | 24% | you ask AI to explain or teach you | |
| task iteration | 24% | you and AI go back and forth on the work |
Other tasks in this occupation
- Compute and analyze data, using statistical formulas and computers or calculators. · importance 4.5
- Check source data to verify completeness and accuracy. · importance 4.4
- Enter data into computers for use in analyses or reports. · importance 4.4
- Compile reports, charts, or graphs that describe and interpret findings of analyses. · importance 4.4
- Interview people and keep track of their responses. · importance 4.3
- Participate in the publication of data or information. · importance 4.2
- File data and related information, and maintain and update databases. · importance 4.2
- Organize paperwork, such as survey forms or reports, for distribution or analysis. · importance 4.2
- Check survey responses for errors, such as the use of pens instead of pencils, and set aside response forms that cannot be used. · importance 4.2
- Select statistical tests for analyzing data. · importance 4.2
- Code data prior to computer entry, using lists of codes. · importance 4.1
- Compile statistics from source materials, such as production or sales records, quality-control or test records, time sheets, or survey sheets. · importance 4.1
- Send out surveys. · importance 3.5
See all tasks on the Statistical Assistants 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. "Discuss data presentation requirements with clients.." 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-9794
Singulariki. (2026). Discuss data presentation requirements with clients.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tasks/task-9794
@misc{singulariki-task-9794,
title = {Discuss data presentation requirements with clients.},
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-9794}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.