Will systems analysts be replaced by AI?
Updated
Systems analysts score 59 of 100 for AI exposure. The largest share of their task time, 93%, is work AI speeds up while they stay in charge. The other 7% stays with people.
- 93% AI helps
- 7% Needs a person
High exposure
Higher than 89% of the 923 occupations we scored.
Task by task
We graded 22 tasks, listed here from most to least exposed. AI can't do any of them end to end yet. It speeds up 20 and leaves 2 to people.
| Task | AI exposure |
|---|---|
| Read manuals, periodicals, and technical reports to learn how to develop programs that meet staff and user requirements. AI summarizes manuals and technical reports quickly for learning. | 65% AI helps |
| Develop, document, and revise system design procedures, test procedures, and quality standards. AI drafts design and test documents; analyst revises and approves. | 65% AI helps |
| Prepare cost-benefit and return-on-investment analyses to aid in decisions on system implementation. AI builds ROI models and drafts cost benefit memos quickly. | 65% AI helps |
| Use object-oriented programming languages, as well as client and server applications development processes and multimedia and Internet technology. AI writes and reviews most application code; developer is responsible for design. | 60% AI helps |
| Review and analyze computer printouts and performance indicators to locate code problems, and correct errors by correcting codes. AI reads logs and flags likely code faults and fixes. | 60% AI helps |
| Use the computer in the analysis and solution of business problems, such as development of integrated production and inventory control and cost analysis systems. AI builds cost models and analyses; analyst judges business fit. | 55% AI helps |
| Define the goals of the system and devise flow charts and diagrams describing logical operational steps of programs. AI turns requirements into flowcharts and diagram drafts quickly. | 55% AI helps |
| Troubleshoot program and system malfunctions to restore normal functioning. AI parses logs and suggests fixes; engineer verifies live recovery. | 50% AI helps |
| Specify inputs accessed by the system and plan the distribution and use of the results. AI lists inputs and outputs from docs; analyst confirms usage. | 50% AI helps |
| Expand or modify system to serve new purposes or improve work flow. AI drafts change designs and impact checks; team approves changes. | 50% AI helps |
Show the other 12 tasks
| Task | AI exposure |
|---|---|
| Provide staff and users with assistance solving computer-related problems, such as malfunctions and program problems. AI answers common user questions; staff handle urgent live problems. | 45% AI helps |
| Test, maintain, and monitor computer programs and systems, including coordinating the installation of computer programs and systems. AI drafts test cases and monitoring scripts; people approve deployments. | 45% AI helps |
| Analyze information processing or computation needs and plan and design computer systems, using techniques such as structured analysis, data modeling, and information engineering. AI drafts data models and design options; analyst weighs tradeoffs. | 45% AI helps |
| Assess the usefulness of pre-developed application packages and adapt them to a user environment. AI compares package features against requirements; analyst tests adaptation. | 45% AI helps |
| Train staff and users to work with computer systems and programs. AI drafts training materials; trainers still deliver and coach people. | 40% AI helps |
| Determine computer software or hardware needed to set up or alter systems. AI suggests hardware and software options; analyst validates sizing. | 40% AI helps |
| Recommend new equipment or software packages. AI compares vendor products against needs; leader makes recommendations. | 40% AI helps |
| Coordinate and link the computer systems within an organization to increase compatibility so that information can be shared. Integration work needs people across teams; AI helps with specs. | 35% AI helps |
| Interview or survey workers, observe job performance, or perform the job to determine what information is processed and how it is processed. AI drafts surveys and summarizes interviews; observation stays human. | 30% AI helps |
| Confer with clients regarding the nature of the information processing or computation needs a computer program is to address. AI prepares meeting notes and questions; analyst leads client talks. | 25% AI helps |
| Consult with management to ensure agreement on system principles. Agreeing principles with management relies on trust and negotiation. | 15% Needs a person |
| Supervise computer programmers or other systems analysts or serve as project leaders for particular systems projects. Leading people and projects depends on judgement and trust. | 15% Needs a person |
How systems analysts compare
All occupations (923)
Computer and mathematical (36)
Pay and outlook in the US
- Median pay
- $105,850 a year, May 2025
- People employed
- 519,530 in the US, May 2025
- Projected change in jobs
- +7.9% from 2024 to 2034
Skills to build
- Lead client and management meetings on system principles and scope
- Check AI-written code and queries in SQL and Python before release
- Build ROI and cost-benefit models in Microsoft Excel
- Map integrations across SAP and ServiceNow systems for shared data
- Run sprint and project reviews in Atlassian JIRA
- Hold sign-off on design and test documents in SharePoint
Safer roles nearby
5 related occupations with lower scores.
Questions about systems analysts and AI
Will AI replace systems analysts?
Partly. About 5 in 10 working hours go to tasks AI can already do, mostly drafting design and test procedures and building cost-benefit and ROI analyses. Agreeing system principles with management, leading projects, and linking systems across teams stay with people.
Which systems analyst tasks is AI taking over?
The most exposed tasks are drafting design and test documents, building cost-benefit and ROI models, and reading logs to find code faults. Design, ROI, and documentation tasks score 65 on exposure, the top of the job, because AI builds the first draft from requirements text and numbers. The analyst revises and approves each output.
Which systems analyst tasks stay with people?
Consulting with management on system principles and supervising analysts or project leads sit at the lowest exposure in the job. Both rely on trust, negotiation, and judgment about people. Observing job performance also stays human, while AI can draft the survey and summarize the interview notes.
How can systems analysts stay valuable?
Take on the work that needs a person in the room. Lead client and management meetings yourself, and use AI only for the meeting notes and questions. Connect SAP, ServiceNow, and SharePoint systems across teams, since that integration work needs people. Check AI-written code and queries in SQL and Python before you approve them.
Related jobs
Next steps for systems analysts
Check which roles in your team AI can take on
We map your team's tasks, show what AI can do today and build the automations that pay back first.
Related topics
- Jobs AI can't replaceCement masons score lowest, at 8.
- Jobs most at risk from AIProofreaders score highest, at 76.
- High-paying jobs with low AI exposureRadiologists earn a median $420,860 and score 46.
- Entry-level jobs with low AI exposureCement masons need little prior training and score 8.
- Jobs AI speeds up the mostFor natural sciences managers, AI speeds up 96% of task time.
- AI and jobs in Malta15 iGaming roles graded task by task.
- Skills that keep work humanThe skills to build in the jobs AI changes least.
- Jobs A to ZEvery job we publish, by first letter.
- AI exposure by industryAverage scores for 22 occupation groups.
- Write a CV screening software can readHow applicant tracking systems read a CV, and what to change.
- AI for businessesThe tasks to automate first in each team and industry.
- How we score AI exposureThe grading, the weights and every source.