Ship Faster: Strategies for Upskilling QA for AI in 2026

Capgemini reports that 70% of organizations are finding that their teams lack the skills and knowledge required to get the most out of AI tools. This is particularly true in E2E test automation and software QA, where a structured upskilling plan to use AI in testing would reduce the cost of QA, increase release velocity, and prevent more bugs from reaching production.

Join Sebastian Antonucci, QA Wolf Staff Engineering Lead, AI, and host Caleb Masters for key tactics and strategies to upskill AI-ready QA teams for 2026.

In this webinar, you’ll learn:

Why upskilling can’t wait: The “automation cliff” and how it affects coverage.
Which new skills matter: Prompt-driven test design, AI code review, and AI toolchain fluency.
How to train effectively: Micro-learning, shadowing, and sandbox experimentation.

Equip your team to thrive in a human+AI QA environment to turn automation pressure into a long-term advantage.

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