Watch the world-famous rapid-fire 99 Second Talks delivered by various attendees at MoTaCon 2026.

Explore how adaptive, self-healing AI tools and an AI-driven product risk analysis can take on the heavy lifting, helping testers evolve from bug hunters into quality architects.

A lively discussion on career growth, engineering leadership, community, bringing joy to testing, and navigating AI.

Recognise and use the hidden leadership skills of quality professionals to explain project risks in business terms, so leaders make go-live decisions based on evidence instead of hope.

Simon Devon explores how diverse lived experiences can make testing more inclusive, uncover overlooked issues, and improve software quality.

Learn how to structure and organize test management data as an AI-ready foundation that gives AI systems richer context for testing insights and workflows.

Discover the timeless lessons Selenium creator Jason Huggins has learned over 22 years, from knowing when to quit to staying curious, and how they apply to testing and building software in the AI era.

What might change if your community worked in seasons and kept inviting new voices? Reflections on joy, gifting, OKRs, and learning across generations

Blessan Thomas demonstrates how an agentic AI framework can automate the testing lifecycle, using progressive context building, self-healing tests, and human oversight.

Julius Mong explores how agentic AI can transform test automation, reduce maintenance, and help testers evolve into QA orchestrators.

Learn how to share quality ownership across your team by passing on the judgement behind your practices, using a simple responsibility model that makes accountability clear.

Nadim Rohani explores how AI amplifies organisational complexity and why strong guardrails, systems thinking, and proactive testing are essential to managing risk.