The use of AI in assessment is increasing, facilitating automation of human-performed tasks throughout the testing lifecycle. GenAI and multi-agent systems are not only accelerating test development but also enable reimagining assessment practices. In this session, experts in assessment, measurement, and data science discuss emerging uses of AI to automate the testing lifecycle and implications for transforming assessment. The session will address topics such as: • The automation of processes within the testing lifecycle by GenAI and multi-agent systems. • The impact of contextual prompt engineering on processes and human roles in creating, curating, analyzing, and assembling tests. • Uses of agentic AI to supplement or replace field testing. • The role of AI-powered analysis in accelerating test production and improving measurement (e.g., difficulty and validity). Presenters will discuss real-world AI applications, research, and implications for the future of assessment.