Artificial intelligence is reshaping every aspect of military operations, from cyber defense and logistics to intelligence analysis and decision support. Yet many organizations struggle to move beyond introductory AI awareness training and establish sustainable pathways for workforce development.

This presentation introduces a competency-based framework for developing an AI-capable workforce across technical and non-technical career fields. Drawing upon lessons learned from developing AI and cyber workforce training programs aligned with Department of Defense workforce frameworks, the session explores how organizations can assess existing competencies, identify capability gaps, and create individualized learning pathways that align with mission requirements.

Attendees will examine how emerging technologies—including generative AI, agentic systems, digital assistants, and simulation environments—can be incorporated into training ecosystems to create more effective and engaging learning experiences. Real-world examples will illustrate how organizations can move from one-size-fits-all training approaches toward personalized development models that accelerate skill acquisition and improve workforce readiness.

The discussion will also address strategies for cultivating AI literacy among leaders, acquisition professionals, cyber operators, and mission support personnel, ensuring the workforce is prepared to effectively collaborate with increasingly capable AI systems.

Learning Objectives

• Understand the competencies required for an AI-enabled workforce.
• Learn methods for assessing organizational AI readiness and workforce skill gaps.
• Explore approaches for creating mission-aligned, individualized learning pathways.
• Identify opportunities to leverage AI tools to accelerate workforce development and readiness.