As we research the latest in generative AI technology, we see that the development and availability of Large Action Models (LAM) such as Claude 3.5 Sonnet are fundamentally changing the way we test and validate applications. These new GenAI models can generate and interpret voice, text and images seamlessly as well as perform agent-like actions independently. For example, you can ask them to navigate an application to accomplish a business task and comment on their actions. This means that we’re for the first time entering the world of AI-assisted / performed exploratory testing. When you couple this with the capabilities of vision models to identify UI elements visually, generate test cases from simple user stories and even create functioning automation tests, we can see that the role and skills needed by a testing team are going to be fundamentally changed. In this talk I will present the current state of the art in terms of what LLM/LAM models can do for testing and how it is likely to evolve. I will discuss how the role and job of testers is likely to change in response to these innovations. Finally, I will give some practical examples of how you can harness LLM/LAM models to change your testing approach and get ahead of the new wave.