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

Potter

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
Clay, wheel and centring.
Estimate

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

16%32%+5.1
Pull, turn and the one that collapses.
Estimate

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

22%8%+1.8
Dry, glaze and the kiln.
Estimate

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

16%22%+3.5
Order, the set and the colour that misses.
Estimate

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

16%28%+4.5
The market, the piece and not opening too wide.
Estimate

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

16%18%+2.9
Survive the kiln, and not leaving a fat foot.
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

  • wheel
  • centre clay
  • pull pieces
  • glaze
  • kiln
  • drying
  • tableware sets
  • the foot

Sources for this job· O*NET 51-9195.00· ESCO/ISCO 7314

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