Wealth can keep growing, but there is only ever one first place. After a Stanford lecture on Hobbes, I've been rethinking what success does to founders — and why material scarcity is easier to solve than status scarcity.

After watching Fei-Fei Li's 'Only in America' interview, three words stayed with me: curiosity, audacity, and truth-seeking. When past success no longer works, do we have the courage to admit what we don't know and start learning again?

In a century-old theater in Silicon Valley, guests from NVIDIA, Notre Dame, and the faith community asked three questions AI cannot answer for us: how do we learn, how do we love, and how do we live and work? What stayed with me was the DELTA framework — a reminder that human value was never only about productivity.

At Stanford, Daniel Rock showed how AI is shifting the bottlenecks of science — discovery is getting cheaper, but judgment is getting scarcer. What stayed with me was the uncomfortable question: when innovation becomes easier, will we still know how to innovate?

After hearing MIT's Neil Thompson on AI, automation, and the future of work at Stanford, I realized we may have been asking the wrong question all along. The question isn't "will AI replace my job?" — it's "which part of my job is AI taking, and does what remains make me more valuable, or more replaceable?"

As AI removes friction from communication, leaders must be more intentional about embracing the uncomfortable, imperfect conversations where real trust—and real progress—are built.

As AI accelerates everything around us, true leadership is revealed in whether we still choose to carry responsibility and engage with the hard, human friction we can’t outsource.

AI can generate answers in seconds, but the real learning and meaning still come from the messy human work of thinking in between.

In a moment of rapid technological acceleration and rising uncertainty, true leadership means grounding in identity, releasing false control, choosing meaningful creation, and staying deeply human as we build what matters.

As AI learns to be human, our greatest responsibility as leaders is not to control it, but to model the integrity, compassion, and creativity we hope it will inherit.