Will AI replace Computer Systems Analysts?

AI can do 94% of the work Computer Systems Analysts do at least twice as fast. People already use it for 10 of their 22 tasks, while 10 more are ready but barely used so far. 2 still need 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.

  • Test, maintain, and monitor computer programs and systems, including coordinating the installation of computer programs and systems.Mostly automated9% of time
  • Confer with clients regarding the nature of the information processing or computation needs a computer program is to address.Mostly assisted6% of time
  • Use the computer in the analysis and solution of business problems, such as development of integrated production and inventory control and cost analysis systems.Mostly automated5% of time
  • Use object-oriented programming languages, as well as client and server applications development processes and multimedia and Internet technology.Mostly automated4% of time
  • Define the goals of the system and devise flow charts and diagrams describing logical operational steps of programs.Mostly automated4% of time
  • Review and analyze computer printouts and performance indicators to locate code problems, and correct errors by correcting codes.Mostly automated4% of time
  • Assess the usefulness of pre-developed application packages and adapt them to a user environment.Mostly automated3% of time
  • Read manuals, periodicals, and technical reports to learn how to develop programs that meet staff and user requirements.Mostly automated3% of time
  • Recommend new equipment or software packages.Mostly automated1% of time
  • Specify inputs accessed by the system and plan the distribution and use of the results.Mostly automated1% of time

AI could do this next10 · 55% of time

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

  • Analyze information processing or computation needs and plan and design computer systems, using techniques such as structured analysis, data modeling, and information engineering.9% of time
  • Troubleshoot program and system malfunctions to restore normal functioning.9% of time
  • Provide staff and users with assistance solving computer-related problems, such as malfunctions and program problems.8% of time
  • Expand or modify system to serve new purposes or improve work flow.6% of time
  • Coordinate and link the computer systems within an organization to increase compatibility so that information can be shared.5% of time
  • Consult with management to ensure agreement on system principles.5% of time
  • Develop, document, and revise system design procedures, test procedures, and quality standards.5% of time
  • Determine computer software or hardware needed to set up or alter systems.4% of time
  • Supervise computer programmers or other systems analysts or serve as project leaders for particular systems projects.4% of time
  • Prepare cost-benefit and return-on-investment analyses to aid in decisions on system implementation.1% of time

Still needs a person2 · 6% 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.

  • Train staff and users to work with computer systems and programs.4% of time
  • Interview or survey workers, observe job performance, or perform the job to determine what information is processed and how it is processed.3% 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 10 tasks AI could do next. These move as tools improve, so learning them early pays off.
  • Build on the 2 tasks that stay human. This is where your judgment, skill and relationships matter most.
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