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Computer Systems Engineers/Architects

Computer Systems Engineers/Architects score 77 out of 100, which is high exposure to AI. That ranks #32 of 923 US occupations, where #1 is the most exposed. Of the 28 tasks in this job, AI could speed up 15 on its own and 13 more with extra software built on top of it. In April–May 2026, 21 of these tasks showed up in real conversations with Claude, Anthropic's AI assistant.

77/ 100
High
Rank
#32of 923 jobs
US workers
435,370for Computer Occupations, All Other
Median pay
$116,580a year
In real AI use
21 of 28tasks, April–May 2026

Task by task

Each task this job involves, as listed by O*NET, rated on whether a large language model like GPT-4 could cut the time it takes by at least half at the same quality. Tasks marked Seen in real AI use appeared in conversations with Claude in April–May 2026 (Anthropic Economic Index).

  • AI can speed this up on its own: 15 (54%)
  • AI can speed this up with extra software: 13 (46%)
  • Little or no AI speed-up: 0 (0%)
  • Verify stability, interoperability, portability, security, or scalability of system architecture.AI can speed this up on its own · core task · Seen in real AI use
  • Develop system engineering, software engineering, system integration, or distributed system architectures.AI can speed this up on its own · core task · Seen in real AI use
  • Collaborate with engineers or software developers to select appropriate design solutions or ensure the compatibility of system components.AI can speed this up on its own · core task · Seen in real AI use
  • Research, test, or verify proper functioning of software patches and fixes.AI can speed this up on its own · core task · Seen in real AI use
  • Provide technical guidance or support for the development or troubleshooting of systems.AI can speed this up on its own · core task · Seen in real AI use
  • Document design specifications, installation instructions, and other system-related information.AI can speed this up on its own · core task · Seen in real AI use
  • Communicate project information through presentations, technical reports, or white papers.AI can speed this up on its own · core task · Seen in real AI use
  • Design and conduct hardware or software tests.AI can speed this up on its own · core task
  • Provide customers or installation teams guidelines for implementing secure systems.AI can speed this up on its own · core task · Seen in real AI use
  • Establish functional or system standards to address operational requirements, quality requirements, and design constraints.AI can speed this up on its own · core task
  • Investigate system component suitability for specified purposes, and make recommendations regarding component use.AI can speed this up on its own · core task · Seen in real AI use
  • Develop efficient and effective system controllers.AI can speed this up on its own · core task
  • Configure servers to meet functional specifications.AI can speed this up on its own · core task · Seen in real AI use
  • Develop application-specific software.AI can speed this up on its own · core task · Seen in real AI use
  • Perform ongoing hardware and software maintenance operations, including installing or upgrading hardware or software.AI can speed this up on its own · core task · Seen in real AI use
  • Identify system data, hardware, or software components required to meet user needs.AI can speed this up with extra software · core task
  • Communicate with staff or clients to understand specific system requirements.AI can speed this up with extra software · core task · Seen in real AI use
  • Provide advice on project costs, design concepts, or design changes.AI can speed this up with extra software · core task · Seen in real AI use
  • Perform security analyses of developed or packaged software components.AI can speed this up with extra software · core task · Seen in real AI use
  • Define and analyze objectives, scope, issues, or organizational impact of information systems.AI can speed this up with extra software · core task · Seen in real AI use
  • Monitor system operation to detect potential problems.AI can speed this up with extra software · core task · Seen in real AI use
  • Evaluate current or emerging technologies to consider factors such as cost, portability, compatibility, or usability.AI can speed this up with extra software · core task · Seen in real AI use
  • Complete models and simulations, using manual or automated tools, to analyze or predict system performance under different operating conditions.AI can speed this up with extra software · core task · Seen in real AI use
  • Develop or approve project plans, schedules, or budgets.AI can speed this up with extra software · core task · Seen in real AI use
  • Evaluate existing systems to determine effectiveness, and suggest changes to meet organizational requirements.AI can speed this up with extra software · core task · Seen in real AI use
  • Direct the analysis, development, and operation of complete computer systems.AI can speed this up with extra software · core task
  • Direct the installation of operating systems, network or application software, or computer or network hardware.AI can speed this up with extra software · core task
  • Train system users in system operation or maintenance.AI can speed this up with extra software · core task

Questions about computer systems engineers/architects and AI

Will AI replace computer systems engineers/architects?

Probably not entirely, but the job is likely to change a lot. Computer Systems Engineers/Architects score 77 out of 100 (high exposure), #32 of 923 US jobs. AI could speed up 28 of the job's 28 tasks, 15 of them on its own. Exposure means the work is likely to change, not that the job will disappear.

Which computer systems engineers/architects tasks can AI do?

The most exposed tasks include "Verify stability, interoperability, portability, security, or scalability of system architecture"; "Develop system engineering, software engineering, system integration, or distributed system architectures"; "Collaborate with engineers or software developers to select appropriate design solutions or ensure the compatibility of system components".

Which computer systems engineers/architects tasks are hardest for AI?

Every task in this job has some AI exposure, though 13 of them need extra software built around the AI.

Are people already using AI for this work?

Yes. In April–May 2026, 21 of the 28 tasks showed up in real conversations with Claude, according to the Anthropic Economic Index.

How many people work as computer systems engineers/architects, and what do they earn?

About 435,370 people in the US (figure for Computer Occupations, All Other), with median pay of $116,580 a year (BLS, May 2025).

How to read this score. Exposure measures how much of the work AI could speed up, not whether the job will disappear. A highly exposed job can change shape, with people spending less time on routine tasks and more on the rest. The score counts tasks AI can speed up on its own in full, and tasks that need extra software at half weight.

The ratings come from published research based on GPT-4 (2023). To show what's happening now, each task is also checked against the latest Anthropic Economic Index, which records which tasks people actually use AI for. That data is refreshed automatically when Anthropic publishes a new release. Read the full method.

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