AI is now used in many parts of software development. Developers use it to write code, suggest fixes, and create test cases. This helps teams work faster.

For testers, this is a little scary. Some are asking if AI will reduce the need for QA roles.

Fortunately, that is not what is happening. Testing is still needed. What is changing is the type of work testers are expected to do.

Below is a breakdown of what is happening and what you can do as a software tester to protect your career.

The Issue: Faster Development and New Software Quality Risks

AI makes it easy to create code and tests quickly. But fast results are not always correct.

Many developers say they do not fully trust AI-generated code. It can look correct, but still have problems. Common issues include:

  • Missing edge cases
  • Incorrect logic
  • Weak validation
  • Tests that pass but do not check important behavior

So, AI can increase speed, but it can also increase risk if results are not reviewed carefully.

This means testing is still important. In many cases, it is even more important because it is being used in new ways. And the volume of new code means software testers need to be able to keep up.

The Solution: Learn How to Work With AI in Testing

The solution for testers isn’t to fight against AI. It’s to embrace it. You need to understand how to use AI and how to test systems that use AI.

This includes:

  • Using AI tools to support testing
  • Reviewing AI-generated results
  • Finding gaps and mistakes
  • Using structured testing methods

This is the whole point of ASTQB AI Assurance Pro™.

AI Assurance Pro

What ASTQB AI Assurance Pro™ Is and How It Helps You

ASTQB AI Assurance Pro™ is a designation that highlights software testers who can work in environments where AI is used in development and testing.

To earn it, you need three certifications:

Each one covers a key skill that testers now need.

What These Certifications Cover

Core Testing Skills

ISTQB Foundation Level teaches structured testing methods. These are still required.

Examples include:

  • Equivalence partitioning
  • Boundary value analysis
  • State transition testing

AI tools can generate tests, but they do not always use these methods correctly. A trained tester is needed to review and improve the results.

Testing AI Systems

AI systems behave differently from traditional software.

Some challenges include:

  • The same input may give different outputs
  • Expected results are harder to define
  • Data quality affects behavior
  • Edge cases are harder to predict

The ISTQB AI Testing certification teaches how to handle these problems.

Without this knowledge, important issues can be missed.

Using AI in Testing Work

AI can help with testing, but it must be used correctly.

Testers need to know how to:

  • Write prompts that create useful test cases
  • Review AI-generated results
  • Add AI into test processes
  • Check results instead of trusting them blindly

The ISTQB Testing with Generative AI certification focuses on these skills.

What Employers Are Looking For

Companies are using AI, but they still need reliable software.

They are looking for testers who can:

  • Work with AI tools
  • Test systems that use AI
  • Keep quality high while development moves faster

Saying you have used AI is not enough. Employers want clear proof of skill.

ASTQB AI Assurance Pro™ shows that you have this capability.

Why The ASTQB AI Assurance Pro Designation Makes Sense

This new designation combines three important areas:

  • Testing fundamentals
  • Understanding AI systems
  • Using AI in testing

If you focus on only one area, you can miss important problems.

For example:

  • Using AI without testing knowledge can lead to weak test coverage
  • Testing without AI knowledge can limit your role
  • Testing AI systems without structure can miss defects

ASTQB AI Assurance Pro™ helps reduce those risks.

What This Means for Software Testers

Testers who do not learn how to work with AI may have fewer opportunities over time.

Teams are already using AI. Testing roles are changing to match this.

Testers who learn these skills can take on more responsibility. They can help teams use AI correctly and reduce risk. They can protect their career and their company.

How to Get Started

The path is pretty straightforward:

  1. Complete ISTQB Foundation Level
  2. Add ISTQB AI Testing
  3. Add ISTQB Testing with Generative AI
  4. Apply for ASTQB AI Assurance Pro™ by contacting AT*SQA support.

Each step builds logically on the previous one.

Next Steps

AI is already part of software development. Yes, testing is still needed, but expectations for testers’ capabilities are changing.

Testers who learn how to test and work with AI will be in a stronger position. ASTQB AI Assurance Pro™ is the key to your career and future. It’s available only through ASTQB and AT*SQA, and it’s another of the extra benefits they provide as non-profit organizations. Register for your ISTQB exams at AT*SQA to get all of the extra benefits.