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

Stagehand

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
Plot, marks and the weight.
Estimate

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

16%32%+5.1
Change, blackout and the one who is late.
Estimate

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

22%8%+1.8
Loads, pulleys and the one that slips.
Estimate

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

16%22%+3.5
Technical rehearsal and the one who walks the light.
Estimate

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

16%28%+4.5
The show, the surprise and not improvising loads.
Estimate

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

16%18%+2.9
Take nobody down, and the change on time.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • blackout changes
  • stage marks
  • pulleys
  • loads
  • technical rehearsal
  • sets
  • the show
  • weights

Sources for this job· O*NET 27-2099.00· ESCO/ISCO 3435

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