Analyze information to determine, recommend, and plan layout, including type of computers and peripheral equipment modifications.
Work task
“Analyze information to determine, recommend, and plan layout, including type of computers and peripheral equipment modifications.” is a supplemental task performed by Computer Hardware Engineers. Among the occupation's 18 rated tasks, workers place it 2nd by importance (#17 most important). About 86% 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 E2. Exposure with tools — software built on top of a language model (not the model alone) could cut the time 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 0.50. Automation potential label: T2.
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.
- 0.60% share of AI-use records mapped to this task
- 44% of that use is work-related
- Most common interaction: learning
- Average autonomy of the AI: 3.5 (1–5; higher = more autonomous)
- 92% 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 |
|---|---|---|---|
| learning | 46% | you ask AI to explain or teach you | |
| directive | 21% | you give the instruction; AI produces a finished result | |
| task iteration | 19% | you and AI go back and forth on the work | |
| feedback loop | 9% | AI does it, then adjusts from your feedback | |
| validation | 4% | you do the work; AI checks it |
Other tasks in this occupation
- Update knowledge and skills to keep up with rapid advancements in computer technology. · importance 4.3
- Design and develop computer hardware and support peripherals, including central processing units (CPUs), support logic, microprocessors, custom integrated circuits, and printers and disk drives. · importance 4.2
- Confer with engineering staff and consult specifications to evaluate interface between hardware and software and operational and performance requirements of overall system. · importance 4.1
- Build, test, and modify product prototypes, using working models or theoretical models constructed with computer simulation. · importance 4.1
- Write detailed functional specifications that document the hardware development process and support hardware introduction. · importance 4.0
- Test and verify hardware and support peripherals to ensure that they meet specifications and requirements, by recording and analyzing test data. · importance 3.9
- Direct technicians, engineering designers or other technical support personnel as needed. · importance 3.7
- Provide technical support to designers, marketing and sales departments, suppliers, engineers and other team members throughout the product development and implementation process. · importance 3.7
- Select hardware and material, assuring compliance with specifications and product requirements. · importance 3.7
- Store, retrieve, and manipulate data for analysis of system capabilities and requirements. · importance 3.7
- Analyze user needs and recommend appropriate hardware. · importance 3.6
- Evaluate factors such as reporting formats required, cost constraints, and need for security restrictions to determine hardware configuration. · importance 3.6
- Provide training and support to system designers and users. · importance 3.5
- Monitor functioning of equipment and make necessary modifications to ensure system operates in conformance with specifications. · importance 3.4
See all tasks on the Computer Hardware Engineers 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. "Analyze information to determine, recommend, and plan layout, including type of computers and peripheral equipment modifications.." 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-7395
Singulariki. (2026). Analyze information to determine, recommend, and plan layout, including type of computers and peripheral equipment modifications.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tasks/task-7395
@misc{singulariki-task-7395,
title = {Analyze information to determine, recommend, and plan layout, including type of computers and peripheral equipment modifications.},
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-7395}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.