Reflecting on Our 2025 AI Predictions: What We Got Right & Wrong – Dr Justin Rose & Martin Brossman скачать в хорошем качестве

Reflecting on Our 2025 AI Predictions: What We Got Right & Wrong – Dr Justin Rose & Martin Brossman

We revisit our 2025 AI predictions and grade ourselves—live and unfiltered. From job displacement and hiring frustration to robotics, medical breakthroughs, AI agents, coding, text-to-video, open source vs. regulation, and the uncanny valley, we break down what we got right, where we were early, and where reality moved faster than expected. We also share real-world outcomes, including how these predictions led to practical solutions, new training, and a book that helped people navigate job hunting in the AI era. Stick around to hear our final score—and a preview of how we’re approaching 2026 differently, focusing less on hype-driven predictions and more on what you actually need to pay attention to next. 👇 Drop your thoughts in the comments and let us know where you think AI is heading. Chapters: 00:00 – Reviewing our 2025 AI predictions (live assessment) 00:40 – Public tension, deepfakes, and AI backlash 01:37 – Job displacement & uneven impact of AI 04:00 – Hiring frustration in the AI era 05:26 – Building real solutions: Job Hunting in the AI Era 07:04 – Robotics growth & avoiding the uncanny valley 10:57 – AI breakthroughs in science & medicine 14:01 – Bioengineering, prosthetics & human augmentation 18:57 – The rise and stall of AR & the metaverse 20:20 – Coding, vibe coding & AI-powered development 23:06 – AI agents: progress, limits & human-in-the-loop 26:11 – Text-to-video AI & creative disruption 28:45 – Open source vs. regulation tensions 32:36 – ChatGPT’s verdict on our predictions 34:23 – Final grade: how accurate were we? 35:03 – What’s changing for 2026 (no hype, real focus) 36:00 – Our mission: ethical, effective & profitable AI