Is Automation Dead? How to Build an AI-Native Testing Strategy

Automation isn’t dead — but the traditional model of automation is showing its limits.

For years, teams have relied on scripted frameworks, growing regression suites, and manual test design to keep pace with development. But as product velocity increases and systems become more complex, automation often turns into maintenance overhead, brittle test suites, and diminishing returns.

In this webinar, we’ll examine where traditional automation starts to break down — and what it actually means to build an AI-native testing strategy.

We’ll cover:

• The structural limitations of script-based automation
• Why maintenance and coverage expansion don’t scale the way teams expect
• What defines an AI-native approach to testing
• The emerging role of AI testing agents in generating, expanding, and maintaining coverage

Rather than replacing automation, AI-native testing rethinks how coverage is created, maintained, and evolved — shifting from static scripts to intelligent, adaptive systems.

If your team is feeling the strain of growing test suites, slow regression cycles, or increasing maintenance costs, this session will provide a practical framework for what comes next.

Meet Your Speaker

Ryo Chikazawa
CEO/Co-Founder, Autify