This article uses Thomas Edison's electric light bulb as a metaphor for implementing generative AI in organizations, emphasizing strategic adoption and transformational change.

• Choose early generative AI use cases that are impactful, visible, and relatable to the organization
• Early successes should showcase broader potential, not just solve isolated problems
• Generative AI tools like Amazon CodeWhisperer increase developer productivity by 57% and democratize coding
• Widespread AI adoption requires changes to organizational operating models and practices
• Data-driven businesses can leverage generative AI for insights, summarization, and natural language interaction
• Cloud infrastructure enables scalable generative AI deployment across business processes
• Success requires integrating generative AI across applications, not stopping at pilot projects

Organizations should strategically select initial generative AI use cases to demonstrate value and inspire broader adoption, similar to how Edison's streetlight demonstration led to widespread electrification.