10 talking points leaders should know about Generative AI

I speak with a lot of leaders who lack confidence when speaking about generative AI. Sometimes it’s easier to fake it til you make it.

Below are 10 easy talking points to help. Experiment with working them into a conversation. Use them to spark discussion with peers. Then use them as a guide your own self-learning about generative AI. Pick one of the talking points that interest you and go deeper on the subject. Try using a new generativeAI tool like Perplexity.ai to see a summary on the topic and find resources to learn more.

1. Generative AI is a rapidly evolving technology that is transforming the way businesses operate.

2. Foundation models, trained on vast amounts of unstructured data, are the driving force behind generative AI.

3. Generative AI can be used to automate, augment, and accelerate various tasks in organizations, including classifying, editing, summarizing, answering questions, and drafting content.

4. The technology has the potential to increase productivity by changing how work gets done at the activity level across business functions and workflows.

5. Generative AI chatbots, like ChatGPT, have gained significant attention for their ability to democratize AI and make it accessible to a wider audience.

6. The versatility of foundation models allows for a wide range of use cases, but may also result in less accurate results at times.

7. Proper risk management processes are necessary for implementing generative AI effectively and securely.

8. Generative AI can enhance the work of nearly every knowledge worker, but it may also eventually be used to automate some tasks.

9. Companies must assess their technical expertise, technology and data architecture, operating model, and risk management processes to determine how best to incorporate generative AI into their operations.

10. The CEO plays a vital role in positioning an organization for success with generative AI and must balance the excitement around the technology with thoughtful and intentional decision-making.