Why Human Testers Are More Critical Than Ever in the AI Era

Summary

The episode reviews software-testing developments in 2025 and considers what testers and organizations should prepare for in 2026. Its central conclusion is that AI is a productivity booster, not a replacement for human testers. AI can speed up work, but experienced people are needed to choose the right problems, evaluate results, and apply sound judgment.

AI in software testing

• Testing with AI—using AI to support testing work—is currently having a broader impact than testing AI systems themselves.
• AI is especially useful for generating testing artifacts, such as test ideas, test cases and steps, automated scripts, and test data.
• The benefits depend on testers having the skills to use AI effectively. Organizations should pursue clear use cases and strategic goals rather than adopting AI simply for its own sake.
• Testing AI-based products remains important, particularly for systems that behave non-deterministically or are used in high-risk contexts. Traditional testing methods still help, but teams need suitable ways to assess these systems’ quality and risks.

Accessibility testing

• Regulation, including EU accessibility requirements, has helped make accessibility a higher priority.
• Organizations may underestimate the effort involved. Automated tools and browser add-ons can check only some accessibility issues; manual testing by people is still necessary.
• Accessibility should be built into design and development from the outset, not added at the end. If teams have not planned for it, remediation may require substantial changes to architecture, technology, or frameworks—not just bug fixes.
• Treating accessibility as a non-functional “nice to have” can make work less efficient and leave organizations unprepared.

Outlook and preparation for 2026

• AI and testing are expected to remain major topics, with agentic AI potentially changing how testers work. Testers may increasingly orchestrate agents—acting as the “pilot” directing them—rather than performing every task themselves.
• The speakers highlight AI literacy as a company-wide need: employees should understand how to use AI tools, as well as their risks, limitations, and appropriate boundaries.
• Suggested learning approaches include attending conferences, taking training, and learning through videos, webinars, and meetups. The guest recommends considering ISTQB certifications in AI testing and testing with generative AI.
• Learning from several sources can help people identify recurring ideas and distinguish broadly accepted guidance from isolated claims.

Reviews, guides, or tutorials

No product review or step-by-step tutorial is presented. The episode offers general analysis and professional-development recommendations.

Main speakers and sources

Richard Seidl (host) and Florian Fieber, Chief Process Officer at Test Solutions and a software-testing expert.