Recoding Business - The AI Transformation Flywheel | unDavos 2026 cover art

Recoding Business - The AI Transformation Flywheel | unDavos 2026

Recoding Business - The AI Transformation Flywheel | unDavos 2026

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 Professor Vijay Gurbaxani makes a bold claim: most companies are approaching AI myopically, treating it as an efficiency tool rather than the next industrial revolution. Drawing on his transformation flywheel framework and examples from Reuters to a two-clinic veterinary startup that caught the attention of a 700-location PE firm, he argues the winners will be those who rethink their entire value proposition — not just their processes.─────────────────────────────WHAT THIS PANEL COVERS→ The AI transformation flywheel starts with vision, not efficiency — companies must ask 'what more can I be doing?' rather than 'how do I cut costs?'→ Reuters uses AI to write first-draft financial news for speed, then reinvests savings into hiring more original news reporters worldwide — a model of competitive differentiation through AI→ A two-clinic veterinary startup (Dr. Treat) used AI to prompt vets during patient conversations and cross-reference an insurance database, earning acquisition by a 700-location PE firm→ Data is becoming the primary competitive moat — when all companies access the same AI platforms, what differentiates you is the proprietary data and know-how you bring→ McKinsey estimates $7 trillion in AI infrastructure investment by 2030; Mark Zuckerberg says he would 'rather overspend by $200 billion than be on the wrong side of that bet'─────────────────────────────PANELISTS🎙 Stephan Balzer — Keynote Speaker, Host & Moderator; Managing Director, red onion (Moderator)🎙 Prof. Vijay Gurbaxani — Taco Bell Endowed Professor of Business & Computer Science; Founding Director, Center for Digital Transformation, UC Irvine─────────────────────────────unDavos is a community-driven summit running during WEF week in Davos, democratizing the conversation around global challenges.🌐 undavos.com─────────────────────────────Tags: digital transformation, AI flywheel, AI strategy, competitive advantage, Reuters, AI first company, AI intensive, value proposition, data moat, AI investment, UC Irvine, Davos 2026, unDavos, REWIRE, business model innovation---TRANSCRIPTSo, here we are back, welcome, I hope you were able to refresh in the break. And we want to continue with a different format. We call this the fireside chat that, you know, we don't have a fire behind us, but hopefully we need it. We need it. Yes, we need the fire in Switzerland, right? So, first, give a warm welcome to our guest. And I will start and you can stop if I talk about you too long. Vijay Gopakshani is the Taco Bell Endowed Professor of Technology Management and the founding director of the Center of Digital Transformation at UC Irvine. And you're specializing in digital transformation? Correct. Like one of the key things we're discussing here, AI strategy and the economics of technology, which is a great combination, looking back to the panel we had before. And it says here that you're blending rigorous academic research with practical insights to guide business leaders and boards. So also the topic we just touched upon into adopting AI. So there's more to talk with you about, but maybe you want to take it from there and share your first thoughts. And you want me to, just to make it clear, so first of all, good afternoon to everybody. It's lovely to meet all of you. And the last panel was absolutely fantastic and I hope to be able to add something beyond them. But you want me to talk for about five minutes is what you said? You can. So I'm a professor- If you allow me to interrupt you, though. So I'm going to- Go ahead. I'm going to talk for five minutes, no interruptions. You can be like one of my students, I tell them to be quiet for five minutes, which is very hard. Okay, I teach executive MBA, but I want to set the ground and I've been sitting too long all day, so I need to sort of get my blood flowing again. So in five minutes, this is a talk that's on YouTube, by the way, but I'm trying to do a 35 minute talk in five minutes. So hopefully we c
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