06/05/2025

Your Association’s Survival Hinges on One Gen AI Tactic for Learning

How a phased approach works so well

As generative artificial intelligence (Gen AI) reshapes industries, associations face unique challenges and opportunities in adopting this groundbreaking technology. For associations that guide their fields, serve diverse member bases and support chapters and sections with volunteers, integrating Gen AI strategically can be transformative.

A phased learning approach enables associations to empower staff and volunteers, streamline operations and set industry standards, while mitigating risks and maximizing impact. You can implement a phased Gen AI learning program tailored to your own association’s complex structures, ensuring success through thoughtful planning, execution and continuous improvement.

Why a Phased Approach Works as a Gen AI Tactic for Learning

Associations operate at the nexus of diverse stakeholders: staff with varying technological competencies, chapters and sections with distinct needs and members relying on the association for leadership in their industry. Implementing a Gen AI learning program across these layers presents inherent complexities. A phased approach, beginning with targeted pilot programs, allows for incremental adoption and refinement, ensuring that the rollout is as effective as it is equitable as it scales.

Please select this link to read the complete blog post from Disaster Avoidance Experts.