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In this episode of The Recursive Roundtable, we explore how artificial intelligence is reshaping work, companies, and the global economy — and whether today’s AI boom mirrors the dot-com bubble of the late 1990s.
More than 50% of recent venture capital investment has flowed into AI, raising inevitable comparisons to the dot-com era, when capital rushed into internet startups before real value was fully proven. We discuss what history can teach us, why hype cycles are rooted in human psychology, and how this time may be both similar — and fundamentally different.
The conversation examines what’s actually changing today:
☑️ why enterprise AI adoption is harder than expected;
☑️ why many pilots never reach production;
☑️ why AI is boosting individual productivity faster than it can transform whole teams or organizations.
We also unpack the growing impact on hiring, junior talent, and the future of technical education.🎙️ GUESTS:
Chapters:0:43 AI in Everyday Life: Storytime & Beyond1:45 Is AI the Next Dot-Com Bubble?5:42 AI Changes Teams, Not Just Individuals6:11 Why Enterprise AI Pilots Fail8:05 The Myth: “Everyone Is a Developer Now”9:51 AGI Won’t Arrive in a Single Moment11:27 China vs US: Competing AI Strategies12:25 Why AGI Obsession Hurts Real Products19:33 AI Is Reshaping Jobs & Hiring21:03 No Juniors Today = No Seniors Tomorrow23:34 Vibe Coding vs Production Reality24:24 AI Failures Are Coming (2026–27)25:32 Fear Is the Biggest AI Bottleneck31:56 Why AI Regulation Is So Hard36:34 AI Is Already Everywhere
By The Recursive MediaIn this episode of The Recursive Roundtable, we explore how artificial intelligence is reshaping work, companies, and the global economy — and whether today’s AI boom mirrors the dot-com bubble of the late 1990s.
More than 50% of recent venture capital investment has flowed into AI, raising inevitable comparisons to the dot-com era, when capital rushed into internet startups before real value was fully proven. We discuss what history can teach us, why hype cycles are rooted in human psychology, and how this time may be both similar — and fundamentally different.
The conversation examines what’s actually changing today:
☑️ why enterprise AI adoption is harder than expected;
☑️ why many pilots never reach production;
☑️ why AI is boosting individual productivity faster than it can transform whole teams or organizations.
We also unpack the growing impact on hiring, junior talent, and the future of technical education.🎙️ GUESTS:
Chapters:0:43 AI in Everyday Life: Storytime & Beyond1:45 Is AI the Next Dot-Com Bubble?5:42 AI Changes Teams, Not Just Individuals6:11 Why Enterprise AI Pilots Fail8:05 The Myth: “Everyone Is a Developer Now”9:51 AGI Won’t Arrive in a Single Moment11:27 China vs US: Competing AI Strategies12:25 Why AGI Obsession Hurts Real Products19:33 AI Is Reshaping Jobs & Hiring21:03 No Juniors Today = No Seniors Tomorrow23:34 Vibe Coding vs Production Reality24:24 AI Failures Are Coming (2026–27)25:32 Fear Is the Biggest AI Bottleneck31:56 Why AI Regulation Is So Hard36:34 AI Is Already Everywhere