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Automation Tester

Based on 10 assessments · 1 from real users

33% Moderate risk

Average realistic automation risk across all Automation Tester profiles in the dataset.

Raw potential
70%
Realistic risk
33%

Raw potential = I/O automation ceiling. Realistic risk = adjusted for informal knowledge and social context.

Distribution across 10 profiles. Middle half of Automation Testers score between 30% and 36%.

0% 50% 100%
p10 · 28%
37% · p90
On-screen work 53%

Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.

In-person + screen 45%

Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.

Computer + action 0%

Computer input, real-world output — needs someone to act on it, not just software.

Fully in-person 2%

No computer required. Furthest from automation — the strongest human advantage.

3 synthetic profiles for a Automation Tester, ordered by automation exposure. Tab between them to see how task mix drives the score difference.

Task Time Type Exposure
Analyzing test results, debugging failed tests, and identifying whether failures are due to code bugs or test issues
deep expertise social element
24% DD 27%
Designing and maintaining test plans, test cases, and test data sets for different product scenarios
deep expertise social element
24% AD 19%
Writing and executing automated test scripts (unit tests, integration tests, end-to-end tests) using frameworks like Selenium, Jest, or Cypress
19% DD 59%
Collaborating with developers and product managers to understand new features and determine what test cases are needed
deep expertise
19% AD 11%
Reporting bugs, documenting defects with screenshots/logs, and communicating findings to the development team
some context needed
11% AD 15%
Setting up test environments, configuring CI/CD pipelines, and maintaining test infrastructure and tools
0% DD 68%

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