Jobs › Computer and Mathematical

AI exposure report

Will AI replace Tester / QA?

Many of your tasks are within reach of AI. The role will change, so it pays to act now.

Task exposure to today's AI

61/100

High exposure

This is the occupation's typical task mix. Your own score can be up to 30 points higher or lower depending on how you work: routine share, people contact, judgment and how much you already use AI.

Get your personal score

Will AI replace Tester / QA?

Not entirely. Today's AI tools can take on about 61% of the typical work in this occupation, mostly: running manual tests The parts that stay human include: The user's perspective and a feel for 'what could go wrong'; Risk-based test strategy; Testing AI systems themselves.

People who learn to use AI for the automatable parts keep the edge. The 3-phase plan below shows where to start.

Which tasks AI can take on

The largest tasks in this occupation, their share of the working week, and how much of each today's AI tools can do.

TaskAutomatable
Running manual tests 80%
Writing test cases 75%
Test automation scripts 60%
Exploratory testing 35%
Bug triage and working with developers 30%

Your human edge

  • The user's perspective and a feel for 'what could go wrong'
  • Risk-based test strategy
  • Testing AI systems themselves

AI tools to try

Playwright + AICopilotGenerating test cases with an LLM

Related roles

  • AI/LLM quality engineer (evals)
  • SDET
  • Quality lead

A 3-phase AI learning plan

Phase 1

AI as a testing accelerator

  • Generate test cases from requirements and user stories.
  • Let AI write Playwright/Selenium tests – you maintain the architecture.
  • Generating test data.

Project

Automate one application's regression suite with AI and compare the time spent.

Phase 2

Testing AI systems

  • Evals for LLM applications: accuracy, hallucinations, tone, safety.
  • Prompt injection and red-teaming basics.
  • Tools: promptfoo, DeepEval, Langfuse.

Project

Write an eval suite for a chatbot (50 questions + expected answers + automatic scoring).

Phase 3

Quality strategy in the age of AI

  • Risk-based testing when AI writes the code.
  • Visual and agentic testing.
  • Quality gates in the CI pipeline.

Project

Add AI code review + test generation for pull requests to CI.
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