If AI Is So Smart, Why Isn't the World Changing Faster?

AI can now drive cars, solve novel math problems, and write a full app in a day. So why does the world still feel the same? In this video, I explain why superintelligence feels slow and why AI progress will not change your daily life overnight. The answer is the weakest-link problem. AI does not live in a vacuum. It lives in a world built by humans and for humans, and it must move at the speed of that world.

I break down the three bottlenecks that gate AI adoption: human approval processes, legal and liability risk, and the physical world. I use real examples, from vibe coding an app inside a large company to building the power plants that AI data centers need. Then I explain what this means for how AI will spread over the next 10 to 50 years.

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CHAPTERS:
0:00 Why Does Superintelligence Feel So Slow?
0:37 Why This Matters for the Next 50 Years of AI
0:53 Sponsor: Memoket Gem AI Wearable for Meeting Notes
2:38 The Weakest Link Problem: Why AI Progress Is Bottlenecked
3:29 Example: Vibe Coding an App vs Corporate Approval Timelines
4:45 Why AI Productivity Gains Are Incremental, Not Overnight
4:57 The 3 Bottlenecks Slowing AI Adoption
5:05 Bottleneck 1: Human Approval Processes and Org Hierarchies
5:50 Bottleneck 2: Legal, Liability, and Risk
6:41 Why AI Cannot Replace Human Accountability
7:18 AI-Native Startups vs Incumbent Companies
7:40 Bottleneck 3: The Physical World
8:06 Energy and Data Centers: The Biggest Physical AI Bottleneck
8:44 Example: AI Permitting Speed vs Real Build Timelines
9:30 Why 99% Faster Tasks Can Mean 0% Net Change
9:56 Moving the AGI Goalposts: Rome Wasn't Built in a Day
10:08 Why Slow AI Adoption Might Be a Good Thing

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