Robert Rippee, Ph.D.

A career is rarely linear. Mine has arced across global boardrooms, early-stage startups, and university labs — sometimes too early, sometimes perfectly timed, always driven by the tension between what is and what could be. That tension is now the daily work of AI transformation: deciding which institutions will adapt, which will ossify, and which will build something genuinely new. The enduring lessons are simple: strategy without execution is theater, invention without discipline is noise, and growth without purpose is temporary.

For the past decade, I worked at the seam where academia met entrepreneurship — where public institutions dared to think like startups. At UNLV, I co-founded Black Fire Innovation and founded the UNLV Incubator, not as vanity projects but as testbeds for a larger hypothesis: that universities, designed intentionally, can serve as engines of economic transformation. I leave that chapter convinced the hypothesis holds — and that the same design logic now applies, at much faster tempo, to how enterprises absorb AI.

I retired from UNLV on September 1, 2025 — though "retirement" is a misnomer. It marked a refocus, not an end. I am a co-founder of Fuzebox.AI, an AI transformation consultancy that helps organizations translate frontier capability into operational advantage. I also serve as Interim Chief Marketing Officer of VIP Play Inc., a sports betting and interactive gaming platform operating at the edge of AI and consumer engagement, and I advise AI-native firms such as DecentralAI and Neurun Inc. Each navigates the same terrain: the ambiguity of building in an algorithmic age.

My foundation — a Ph.D. in consumer behavior and technology adoption — was never meant for idle theory. It is the lens I bring to AI transformation: a discipline that is, at base, about how humans assimilate new technology under uncertainty, and how institutions either enable or obstruct that process. I am currently writing a book that expands on this lens: a decade of translating research into action, and a reckoning with how institutions either adapt or ossify under rapid change.

On podcasts like The Rebel Revolution and in advisory boardrooms alike, I have tried to bridge two worlds that too often regard each other with suspicion — commerce and scholarship. The space between them is where I do my best thinking, and where the hardest AI questions tend to live.

If there is a thread that connects all of this, it is this: innovation is not a slogan. It is a discipline — a form of problem-solving under uncertainty, driven as much by human behavior as by technology. AI has not changed that; it has only raised the stakes. For me, it remains unfinished work.