The adoption of AI, particularly large language models (LLMs), is reshaping software architecture. While AI has disrupted aspects of software engineering, such as code generation, its deeper impact on architecture remains unclear. To define the future skill set of software architects, we must first understand how AI will transform the software creation and delivery pipeline. This working session will explore AI’s role in software architecture and the evolving competencies architects will need. We will begin with insights from a survey of researchers and industry professionals on key architectural challenges and AI’s potential solutions. The discussion will focus on: - The evolving role of human architects in AI-augmented software development - How AI can enhance software architecture, from automation to decision support - The risks AI introduces and strategies for responsible adoption - The new competencies architects will need in the next decade We aim to outline concrete steps for architects to adapt to AI-driven development while ensuring system reliability, security, and ethical considerations.