Automation index
How much of a QA tester’s job can AI already do?
Today an AI can already do 38% of this job. Architecture, the hard calls, and review still need someone who has broken production.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
QA tester
38%
AI can already do 38% of this job.
#11 / 623
View rankingQA tester
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Identify, analyze, and document problems with program function, output, online screen, or content.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 55% | +6.6 |
Document software defects, using a bug tracking system, and report defects to software developers.EstimateNo public source provides a precise figure. This is our estimate. | 11% | 55% | +6.1 |
Install, maintain, or use software testing programs.EstimateNo public source provides a precise figure. This is our estimate. | 8% | 28% | +2.2 |
Monitor program performance to ensure efficient and problem-free operations.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 28% | +1.7 |
Develop testing programs that address areas such as database impacts, software scenarios, regression testing, negative testing, error or bug retests, or usability.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 48% | +2.9 |
Document test procedures to ensure replicability and compliance with standards.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 55% | +3.3 |
Create or maintain databases of known test defects.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 48% | +2.9 |
Provide feedback and recommendations to developers on software usability and functionality.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 28% | +1.7 |
Other less frequent tasks (weight estimated from frequency).EstimateNo public source provides a precise figure. This is our estimate. | 39% | 28% | +10.9 |
| Total | 100% | 38% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- internal risk management policy
- ICT quality policy
- software anomalies
- levels of software testing
- quality standards
- quality assurance methodologies
- ICT process quality models
- set quality assurance objectives
- ensure continuous preparedness for audits
- comply with legal regulations
Sources for this job· O*NET 15-1253.00· ESCO/ISCO 2519
IS WORK OVER?
Station master
23%
#302 / 623
View rankingStation master
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Graph, orders and the station log.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Platforms, the crossing and the late train.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Staff, shifts and the ticket-office gap.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Incident, passengers and the PA.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Works, closures and leaving nobody on the platform.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they do not meet, and signing the graph.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 23% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- train graph
- orders
- platforms
- ticket office
- PA
- line crossings
- station shifts
- station logs
Sources for this job· O*NET 53-4031.00· ESCO/ISCO 4323