Silicon Valley Girl: AI, Tech and Career Growth

John Martinis won the 2025 Nobel Prize in Physics for the discovery that made quantum computing possible. At 67, he retired from UC Santa Barbara to build Qolab, his quantum hardware startup. President Trump named him to the PCAST science council with Zuckerberg, Brin, and Huang — the only physicist in the room.
This is the uncut Davos conversation.
What we cover:— How quantum computing could replace rare earth elements with common materials— Why JPMorgan and Robinhood are already running quantum algorithms— What a Nobel physicist actually thinks about the multiverse— Why his biggest breakthroughs came from being pushed out
Topics: quantum computing, Nobel Prize Physics 2025, John Martinis, Qolab, quantum computer, superconducting qubits, AI vs quantum, deep tech, Davos, career in tech.

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Roman Yampolskiy has spent 15 years at the University of Louisville studying one question: can we control AI? His answer is no. And in 2026, the early evidence is showing up inside his own department — a 28% drop in co-op placements for CS students. Prediction markets for AGI have collapsed from 2045 down to 2028–2030. So I asked him the question everyone actually wants answered: if 99% of jobs really do get automated, which ones survive? He named five — and they're not the ones you'd expect. 

We also cover: 
— What to invest in when AI can replace most human labor
— Why he told his own 17-year-old to think twice about college 
— How to raise kids with agency in a world that automates thinking 
— And the answer he gave when I asked if we're living in a simulation If you've been using "AI" and "superintelligence" as the same word, this conversation will fix that. 

Topics: AI safety, Roman Yampolskiy, AGI 2030, jobs AI can't replace, future of work, AI superintelligence, investing in AI era, simulation theory, career advice 2026, AI risk

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If you lost everything tomorrow — your money, your network, your reputation — and had to rebuild from zero in 2026, what would you actually do? I asked the founders who've already done it.
In this episode, I talk to Samir Vasavada (CEO of Vise), Young Zhao (CEO of Opus Clip), Aravind Srinivas (CEO of Perplexity), Daniel Priestley, and Amjad Masad (CEO of Replit) about the exact strategies they'd use to start over today.
We cover:
How to find your real superpower — and why asking your friends is the fastest way
The 30-day framework for testing an idea before you commit
Why obsession beats strategy in the AI era
The "7-7-6 apprenticeship" — why your first move shouldn't be starting a company
How to build a moat when AI can copy anything in days
At the end, I share my own plan for starting from scratch in 2026 — the niche, the content system, the 30-day sprint, and what I'd focus on first.

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AI is already solving problems scientists said were impossible — and we're just getting started. In this episode, Yossi Matias, VP of Engineering & Research at Google, explains why we're living through the golden age of research and what that means for your career, your kids, and your future.
We cover:
Why AI agents and vibe coding are actually underhyped
How Google's AI co-scientist cracked a superbug hypothesis in 3 days (vs. years of lab work)
Flood prediction in 150 countries — from "impossible" to deployed in 7 years
What Google is building for education, healthcare, and climate resilience
The one mindset shift to stay relevant in 2026 and beyond
Yossi also shares what Google looks for when hiring today — and why the ability to adapt matters more than any specific skill.

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Which Jobs Survive AI by 2030? Saadia Zahidi (WEF) Reveals What the Data Actually Shows
Saadia Zahidi, Managing Director at the World Economic Forum, joins Silicon Valley Girl live from Davos to break down the WEF Future of Jobs Report — and what it actually means for your career.
The data: 78 million new jobs are coming by 2030. But 23% of all roles will go through major disruption. And roughly 1 in 10 workers won't find a place inside their own industry.
We cover:
Why AI isn't the real reason entry-level jobs are disappearing — and what actually is
The "catch-22" problem young job seekers are stuck in right now
Which jobs are growing (agriculture, education) and which are declining fast
Why human skills — creativity, empathy, leadership — are more valuable than ever in an AI world
The "learn to earn" framework WEF launched at Davos to fix broken hiring
What no-regret career moves look like in 2025–2030, no matter which scenario plays out
If you're figuring out your next move — whether you're a student, mid-career, or building a team — this episode gives you the clearest data-backed picture of what's coming.

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