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

Описание: 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