Will AI replace Computer Systems Engineers/Architects?

AI can do 96% of the work Computer Systems Engineers/Architects do at least twice as fast. People already use it for 10 of their 28 tasks, while 17 more are ready but barely used so far. 1 still needs a person.

AI is already doing this10 · 39% of time

People already use AI for these tasks in real work, based on Anthropic's analysis of how Claude is used.

  • Document design specifications, installation instructions, and other system-related information.Mostly automated6% of time
  • Provide technical guidance or support for the development or troubleshooting of systems.Mostly assisted6% of time
  • Develop system engineering, software engineering, system integration, or distributed system architectures.Mostly automated6% of time
  • Verify stability, interoperability, portability, security, or scalability of system architecture.Mostly automated5% of time
  • Identify system data, hardware, or software components required to meet user needs.Mostly automated4% of time
  • Perform ongoing hardware and software maintenance operations, including installing or upgrading hardware or software.Mostly automated4% of time
  • Configure servers to meet functional specifications.Mostly automated2% of time
  • Perform security analyses of developed or packaged software components.Mostly automated2% of time
  • Develop application-specific software.Mostly automated2% of time
  • Complete models and simulations, using manual or automated tools, to analyze or predict system performance under different operating conditions.Mostly automated1% of time

AI could do this next17 · 57% of time

AI can speed these up by at least half, but real use has not caught up yet. These are next in line.

  • Communicate with staff or clients to understand specific system requirements.7% of time
  • Collaborate with engineers or software developers to select appropriate design solutions or ensure the compatibility of system components.6% of time
  • Direct the analysis, development, and operation of complete computer systems.5% of time
  • Evaluate current or emerging technologies to consider factors such as cost, portability, compatibility, or usability.4% of time
  • Monitor system operation to detect potential problems.4% of time
  • Define and analyze objectives, scope, issues, or organizational impact of information systems.4% of time
  • Evaluate existing systems to determine effectiveness, and suggest changes to meet organizational requirements.4% of time
  • Communicate project information through presentations, technical reports, or white papers.4% of time
  • Direct the installation of operating systems, network or application software, or computer or network hardware.4% of time
  • Provide advice on project costs, design concepts, or design changes.2% of time
  • Provide customers or installation teams guidelines for implementing secure systems.2% of time
  • Develop or approve project plans, schedules, or budgets.2% of time
  • Design and conduct hardware or software tests.2% of time
  • Establish functional or system standards to address operational requirements, quality requirements, and design constraints.2% of time
  • Research, test, or verify proper functioning of software patches and fixes.2% of time
  • Train system users in system operation or maintenance.1% of time
  • Develop efficient and effective system controllers.1% of time

Still needs a person1 · 4% of time

No real AI use, no proven AI speedup and no robot that can do it yet. This is the part of the job to build on.

  • Investigate system component suitability for specified purposes, and make recommendations regarding component use.4% of time

Your week is not the average

Describe what you actually do and get a personal report: your own tasks, what AI can already do, what stays yours and a 90 day plan.

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What this means

AI can already do almost all of this work at least twice as fast. People in this job already use it heavily. Expect the role to shift toward deciding what to do, checking AI's work and owning the result.

What to do next

  • Do the 10 tasks AI is already handling with AI yourself. Your peers already are, and it is quickly becoming the baseline.
  • Get ahead on the 17 tasks AI could do next. These move as tools improve, so learning them early pays off.
  • Build on the 1 task that stay human. This is where your judgment, skill and relationships matter most.
Web Administrators93%Geographic Information Systems Technologists and Technicians100%Document Management Specialists100%Penetration Testers82%Information Security Engineers98%Digital Forensics Analysts96%

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