IS WORK OVER?

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

QA 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.

TaskShareAIPoints
Identify, analyze, and document problems with program function, output, online screen, or content.
Estimate

No 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.
Estimate

No public source provides a precise figure. This is our estimate.

11%55%+6.1
Install, maintain, or use software testing programs.
Estimate

No public source provides a precise figure. This is our estimate.

8%28%+2.2
Monitor program performance to ensure efficient and problem-free operations.
Estimate

No 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.
Estimate

No public source provides a precise figure. This is our estimate.

6%48%+2.9
Document test procedures to ensure replicability and compliance with standards.
Estimate

No public source provides a precise figure. This is our estimate.

6%55%+3.3
Create or maintain databases of known test defects.
Estimate

No 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.
Estimate

No public source provides a precise figure. This is our estimate.

6%28%+1.7
Other less frequent tasks (weight estimated from frequency).
Estimate

No public source provides a precise figure. This is our estimate.

39%28%+10.9
Total100%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

Pesticide applicator

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.

TaskShareAIPoints
Log, product and the dose.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Apply, drift and the wind that gets up.
Estimate

No public source provides a precise figure. This is our estimate.

18%12%+2.2
The withholding period and the one who wants in now.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
PPE, the container and the collection point.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
The neighbour, the bees and stopping in time.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
Not taking the river, and signing the treatment.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%22%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • farm log
  • pesticide dose
  • drift
  • withholding period
  • PPE
  • empty containers
  • bees
  • field wind

Sources for this job· O*NET 37-3012.00· ESCO/ISCO 6113

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