Keynote - Preparing for Our Next Reality | unDavos 2026 cover art

Keynote - Preparing for Our Next Reality | unDavos 2026

Keynote - Preparing for Our Next Reality | unDavos 2026

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In a data-dense keynote, Alvin Graylin argues we are walking a razor's edge — not choosing between utopia and dystopia, but balanced on a ledge where the next five years will determine which side humanity falls. With AI models already scoring 140+ IQ and producing hours of autonomous work, the question is no longer whether jobs will be displaced but how fast the transition curve drops.─────────────────────────────WHAT THIS PANEL COVERS→ AI models now score above 140 IQ (99.8th percentile of humans) and deliver 4-5 hours of autonomous work without human intervention — with full-day autonomy months away→ Descaling laws are replacing scaling laws: inference compute, distillation, and quantization are putting data-center-level intelligence into pocket devices→ A Google engineer used Claude to solve in one hour what her team of five spent an entire year building — and Anthropic built Claude Code Workbench in 1.5 weeks using AI writing AI→ AGI is deflationary for basic goods but inflationary for unique experiences and luxury — the money saved on cheaper food, energy, and medicine shifts to scarce human-centric value→ The biggest threat is not technology but mindset: social safety nets are affordable, humanoid robots are overhyped toys, and the real risk is governments and labs pursuing dominance over collaboration─────────────────────────────SPEAKER🎙 Alvin Wang Graylin — Chairman, Virtual World Society; Global VP of Corporate Development, HTC; Author, 'Our Next Reality'; Digital Fellow, Stanford Digital Economy Lab─────────────────────────────unDavos is a community-driven summit running during WEF week in Davos, democratizing the conversation around global challenges.🌐 undavos.com─────────────────────────────Tags: AGI, AI jobs, AI displacement, descaling laws, AI IQ, autonomous AI agents, humanoid robots, social safety net, AI bubble, AI commoditization, Alvin Graylin, Our Next Reality, Davos 2026, unDavos, REWIRE, future of work---TRANSCRIPTGood afternoon, everybody ready? Let's go. We have a tight program, so I want to welcome you to Rewire at Anderwoos. I'm Stefan Balzer. I will guide you through this afternoon in the best way I can. And I think we have, I would say it's a mission critical topic for an industry, I would say, because AI, as we know, is all over the place also here in Davos, as you've seen, still it's about the adoption in companies, right? It's like, where are we when it comes to an AI ready company? And also what does it actually mean to implement AI into an organization from operation, from HR, from strategy. So we have an incredible list of people that join us today and they will share the experience where they are right now, what cases they want to share here in front of us, and we want to explore what it means to become an AI native organization, right? Is that even worth aiming for, or is it maybe just another great idea that, you know, comes along the tech curve for the last 30 years? So let's see. And we start off with an expert, and I hope the microphone, maybe you can correct a little bit, who will open up the space a little bit wider. His name is Alvin Graylin, and Alvin is a strategist. He is the author of the book, Our Next Reality, and he's the chairman of the Virtual World Society. And he's been in the industry for more than 35 years, although he doesn't look like, yes, much younger. So he's involved in semiconductors, XR, cybersecurity, and he had a leadership role to the HTC, Intel, IBM, and he will give us a little insight on his current work that he's doing. So please put your hands together, and I need your positive energy right now with a strong applause for Alvin. Thank you, Stefan. There's a few seats in the front. I would recommend you coming up because there's a lot of charts and data in this talk, and I think you'll want to see them because there's some useful information. So just come up if you see an open spot. And, you know, I have been studying AI and working on
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