Will AI replace Computer Systems Engineers/Architects?
Estimated risk score: 65 out of 100
High replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (46 to 84).
For the occupation as a whole, from ratings of its 28 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 15-1299.08 · Computer and Mathematical
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 16 of its 28 rated tasks; the first 6 are shown. In O*NET’s words.
- Communicate project information through presentations, technical reports, or white papers.
- Configure servers to meet functional specifications.
- Develop application-specific software.
- Document design specifications, installation instructions, and other system-related information.
- Research, test, or verify proper functioning of software patches and fixes.
- Monitor system operation to detect potential problems.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 0 of its 28 rated tasks. In O*NET’s words.
None of its rated tasks.
What the job is
Design and develop solutions to complex applications problems, system administration issues, or network concerns. Perform systems management and integration functions.
Also called: IT Engineer, Target Developer, Systems Architect, Systems Developer, Technical Architect, Cloud Software Engineer, Cloud Solution Architect, Computer Systems Architect.
Closest jobs we score by hand
In the same field (Computer and Mathematical). Different jobs, each scored by a person.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate