To become an expert in a new field, like AI, the best approach is to dive in and do the work, as I did with logistics and delivery, which helped me gain a strong understanding of the industry.

If I were a software engineering graduate today, I'd focus on mastering AI coding platforms and then get a job to understand the industry better.

Focusing on specific AI applications that target particular workflows will be more successful than broad platforms.

Focusing on narrow problems and becoming the best at solving them is currently a successful strategy for AI companies, as seen with examples like Quandry and Expo.

My interest in computer science was influenced by the realization that AI could solve complex problems, leading me to shift from studying physics to focusing on AI and technology.

I learned from Steve Jobs that focusing on one thing at a time is essential for success, which is why I'm concentrating on Agentforce.

We should focus on the spectacular changes AI can bring to solve insurmountable problems like climate change and resource management.

At Tesla, I became very interested in AI applications, particularly in autopilot technology, which led me to explore AI's potential in different domains.

We prioritize tackling big problems in the industry, which leads to discovering larger opportunities, as we did when shifting focus from autonomous vehicles to AI's geopolitical implications.