Software Developers: daily tasks & AI impact
This page breaks Software Developers into the top 15 daily O*NET tasks and scores each for Generative AI automation probability. Those task scores roll up to an overall vulnerability index of 57/100 (Moderate automation risk). Struck-through rows are ≥80% automatable; highlighted safer rows are under 30% or primarily physical.
High-automation exposure
No task in this set currently exceeds the 80% threshold, so risk is spread across moderate probabilities rather than a few catastrophic duties.
Durable human work
This profile has little “safe” task mass under our thresholds. Workers should treat AI fluency as mandatory and actively map transferable skills into lower-risk roles.
Importance comes from O*NET incumbent ratings. Automation probability is model-generated for current Generative AI capability (not speculative AGI). Digital / physical / mixed labels describe the modality of the work, which strongly correlates with near-term automation potential.
| Task | Importance | AI probability | Nature |
|---|---|---|---|
| Monitor functioning of equipment to ensure system operates in conformance with specifications. Supplemental | 4.12 | — | — |
| Analyze user needs and software requirements to determine feasibility of design within time and cost constraints. Core | 4.08 | — | — |
| Develop or direct software system testing or validation procedures, programming, or documentation. Core | 3.9 | — | — |
| Confer with systems analysts, engineers, programmers and others to design systems and to obtain information on project limitations and capabilities, performance requirements and interfaces. Core | 3.75 | — | — |
| Coordinate installation of software system. Supplemental | 3.75 | — | — |
| Modify existing software to correct errors, adapt it to new hardware, or upgrade interfaces and improve performance. Core | 3.74 | — | — |
| Prepare reports or correspondence concerning project specifications, activities, or status. Core | 3.68 | — | — |
| Analyze information to determine, recommend, and plan installation of a new system or modification of an existing system. Core | 3.61 | — | — |
| Store, retrieve, and manipulate data for analysis of system capabilities and requirements. Core | 3.59 | — | — |
| Design, develop and modify software systems, using scientific analysis and mathematical models to predict and measure outcomes and consequences of design. Core | 3.56 | — | — |
| Determine system performance standards. Core | 3.53 | — | — |
| Supervise the work of programmers, technologists and technicians and other engineering and scientific personnel. Supplemental | 3.51 | — | — |
| Consult with customers or other departments on project status, proposals, or technical issues, such as software system design or maintenance. Core | 3.37 | — | — |
| Confer with data processing or project managers to obtain information on limitations or capabilities for data processing projects. Core | 3.32 | — | — |
| Supervise and assign work to programmers, designers, technologists, technicians, or other engineering or scientific personnel. Supplemental | 3.13 | — | — |
What remains human
No tasks currently fall under the safe threshold for this occupation.
FAQ
Which Software Developers tasks are most exposed to AI?
No task in this set currently exceeds the 80% threshold, so risk is spread across moderate probabilities rather than a few catastrophic duties.
Which Software Developers tasks are safest from Generative AI?
This profile has little “safe” task mass under our thresholds. Workers should treat AI fluency as mandatory and actively map transferable skills into lower-risk roles.
How should I read the Software Developers task table?
Importance comes from O*NET incumbent ratings. Automation probability is model-generated for current Generative AI capability (not speculative AGI). Digital / physical / mixed labels describe the modality of the work, which strongly correlates with near-term automation potential.