Exploring my Ikigai through this structured framework was both eye-opening and clarifying. I started, as the diagram suggests, by asking what the world needs—step 1. It’s clear that the world needs ethical, accessible, and human-centered AI. We're at a pivotal moment where AI systems can either elevate society or embed inequities deeper. My work at SAL AI is a direct response to this need: making advanced AI and automation understandable and implementable for nontechnical leaders, especially in finance and operations.
Step 2 pushed me to reflect on what I’m good at. I realized that I'm skilled in translating complex AI topics into strategic business conversations, mentoring teams, and building frameworks that align technology with human values. Over time, I’ve developed a rare combination of fluency in both AI and organizational strategy—skills sharpened through real-world consulting, public speaking, and years of experimentation.
In step 3, I revisited what I love. This was easy: I love helping people understand the “why” behind the tech. I love building systems that reduce burnout, increase access, and empower underrepresented communities. And I genuinely enjoy teaching, whether through a keynote, a blog post, or a whiteboard session with a CFO.
Step 4 brought it full circle: what can I be paid for? The answer is clear. Businesses will—and already do—pay for expert guidance on AI adoption, automation design, and change management. I’ve built a practice that not only solves business pain points but also embeds long-term value and trust. What surprised me most in this process was how aligned these four areas already are in my life. The tension points—like not feeling “technical enough” for a pure data science role—have faded as I’ve embraced my zone of proximal development: ethical AI strategy. Going forward, this Ikigai will serve as my compass. It confirms that I'm on a mission-driven path—one where passion, purpose, and profession are interconnected. And now, I have the clarity and confidence to scale it.