Silicon Valley Girl: AI, Tech and Career Growth

Using AI every day doesn’t automatically make you better at your job.

So how do you use it to build real expertise?

In this episode, I talked to Karim R. Lakhani, a Harvard Business School professor whose research with BCG, Procter & Gamble, and H&M explores how AI changes the way we work.

We talk about three ways people work with AI – cyborgs, centaurs, and self-automators – and why the way you delegate matters for what you actually learn. Karim shares why he never takes the first answer, how to make AI challenge your assumptions, and why “the AI gave me that” is no excuse for poor work.We also get into what Harvard MBA students now build with AI, how juniors can develop judgment and taste, why CEOs need hands-on experience with these tools, and how to set bigger business goals as AI gets more capable. And we end with a question every founder should be asking: when the next AI model launches, does your business become more valuable – or does the model absorb what you do?

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Felix Rieseberg has led engineering for Claude.ai, Cowork, and Claude Code Desktop at Anthropic. He thinks many of us are still giving AI tasks it has already outgrown. If you’re only asking Claude to summarize emails, what are you missing?

How to hand AI bigger goals. Why “you’re an expert” isn’t enough аnd how to catch mistakes when the answers sound convincing. Felix shares how to start trusting AI with more – and stop being the bottleneck in your own company.

📩 Your first AI agent in 20 minutes — get the guide through my free newsletter: https://siliconvalleygirl.beehiiv.com/p/your-first-autonomous-agent-in-20-min-5429

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James Manyika runs research and labs at Google, and his team recently studied millions of real Gemini conversations to see how people use AI at work. In a typical job, it's only about a fifth of the tasks. I asked him what that means for your job and your salary, why he bet against the people who predicted half of white-collar jobs would disappear in two years, which three signals would change his forecast, and which AI breakthroughs are already in your life without you noticing.📩 Follow my Newsletter: https://siliconvalleygirl.beehiiv.com/subscribe

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Brian Chesky built Airbnb into an S&P 500 company, and he says starting a business today is easier than it was 20 years ago.

In this episode we go step by step: how Airbnb is becoming AI-native, why chat is the wrong interface for most work, how Brian generates 30,000 ideas a year and picks the ones worth doing, why the phone is the enemy of focus, and the one habit that separates real builders from everyone else.

📩 7 skills that make you irreplaceable: https://siliconvalleygirl.beehiiv.com/p/7-skills-that-make-you-irreplaceable-adc6

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Daron Acemoglu is an MIT economist and a 2024 Nobel laureate in Economic Sciences. He believes some of AI’s biggest business opportunities are being overlooked—but where does he see the real money, and what should you learn to stay valuable?

In this episode, I ask Daron where founders should look for opportunities beyond the AI hype. We talk about why helping workers become more productive can be better for business than replacing them, why existing models are already powerful enough to build useful applications, and where high-quality data creates an advantage. Daron also shares what he would study now and why builders need to spend more time talking to workers.

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Greg Brockman co-founded OpenAI and previously served as CTO of Stripe. He believes AI could spark a massive renaissance of entrepreneurship—but what should we actually build when the models keep getting better?

In this episode, I show Greg the AI app I created to prepare for our interview and ask how to make it more ambitious. We talk about what makes an AI product worth paying for, why domain expertise matters more than ever, and how founders and small-business owners can use AI today.

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The U.S. Bureau of Labor Statistics projects which jobs will grow through 2035, and it rated 831 occupations by how much of the work AI can do or help with. I went through the data to find the careers where demand is growing, what they pay, and what it takes to get in.We rank 10 growing careers by median salary, from management analysts at $101,860 to computer and information systems managers at $175,140. You'll see why nurse practitioners are the fastest-growing occupation in the country, why software developers are still projected to add 174,700 jobs, and which six-figure healthcare job sits in the lowest AI exposure group. Then we look at the five occupations shrinking fastest and what they have in common.At the end, I show you a simple exercise from Stanford economist Erik Brynjolfsson. Split your last two weeks of work into define, execute and evaluate. Pick one repetitive task, try it with AI, and check the result. Then decide what responsibility you want to grow into with the time you get back.📌 FREE: my 20-minute AI agent setup — no code needed. Subscribe to Future Proof for the free guide →https://siliconvalleygirl.beehiiv.com/p/your-first-autonomous-agent-in-20-min-5429🎧 *Full conversation with Erik Brynjolfsson:* https://open.spotify.com/episode/3lyMQ1Qg7ybNJIgAmAzq97?si=8JYKTMIxS_aKYidy2AfcZw

*Sources:*BLS Employment Projections 2025–2035: https://www.bls.gov/news.release/ecopro.nr0.htmBLS AI exposure categories: https://www.bls.gov/emp/publications/ai-exposure-categories.htm*Links:*📩 7 skills that get you promoted —⁠https://siliconvalleygirl.beehiiv.com/p/7-skills-that-make-you-irreplaceable-adc6?utm_source=spotify&utm_medium=description&utm_campaign=futureproof-sub&utm_content=7-skills ⁠

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Anton Osika runs Lovable, one of the fastest-growing AI companies in the world, and he's done with the words "vibe coding." Vibes work for a demo, but people now run real businesses on Lovable.

In this episode we go step by step: how to turn a tool you built for yourself into a real business, how to set up a backend without knowing how to code, and how to price your product. And as building gets easier every month, Anton names the one skill that matters most for an AI founder right now.

*The website Anton improved for Marina:* https://marinamogilko.co/

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Shishir Mehrotra ran product for YouTube, founded Coda, and has sat on Spotify's board for over a decade. He now runs Superhuman, the company behind Grammarly, which 40 million people use every day.In this episode, he reverses the career advice he gave for twenty years — stop trying to be a great executor, start learning to manage. He explains why the best jobs never come through the recruiting funnel, walks through the framework he built at Google for how promotions actually work, and points to the moment mid-career where the rules quietly change and most people panic. He pushes back on the word "replaced," gives away the interview question he used for hundreds of hires until he talked about it publicly too much, and shares what Bill Campbell told him in 2000 that changed how he measures his own success.

📩 7 skills that get you promoted —https://siliconvalleygirl.beehiiv.com/p/7-skills-that-make-you-irreplaceable-adc6

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Seven people who run companies employing more than 30,000 people answer the same question: who are you hiring right now? Sal Khan, Yamini Rangan, Aaron Levie, Luana Lopes Lara, Grant Lee, and Conor Grennan get unusually specific about what they look for in you before the interview starts and what makes them say yes. And Ryan Roslansky, who ran LinkedIn for six years, opens up LinkedIn's own data. By the end, you have a step-by-step plan for getting hired in 2026.

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Andrew Ng co-founded Coursera, built the founding team at Google Brain, and has taught roughly 8 million people AI.

In this episode, he pushes back on the AI job panic making the rounds this year, walks through the actual math on how much of a job AI can automate, and explains why he thinks universities are still teaching students for a job market from 2022. He also gets specific about what he looks for when hiring marketers, recruiters, and ops people now — and admits that despite building his career on AI education companies, AI is currently terrible for learning.

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What if the highest-paying jobs today are the ones disappearing first?Erik Brynjolfsson is Stanford's leading AI economist,director of the Stanford Digital Economy Lab, and one of the most cited voices on how technology reshapes the workforce. He's spent decades studying which jobs getdestroyed, which get created, and who wins in everymajor shift.In this Moment, Erik Brynjolfsson names the specific professions being replaced right now, why radiologists are thriving while paralegals are losing ground, and the one skill he believes every worker needs to become the CEO of their own AI agents.

Listen to the full episode here!

Spotify: https://open.spotify.com/episode/2mqN4S2Q48iHMyBKSBFey8?si=vqmIay61RLGyZl9RWoHzVw

Apple:https://podcasts.apple.com/il/podcast/silicon-valley-girl-ai-tech-and-career-growth/id1819090545?i=1000777720945

Watch the full episode on YouTube: https://youtu.be/72duHF7iZiU?si=YSY7h6rPhR9-A4yW

What if the most powerful language models on Earthare missing the one piece that makes intelligence real?Fei-Fei Li is the "Godmother of AI" who built thedataset that made modern artificial intelligencepossible, spent years leading Stanford's AI Lab,and now runs World Labs, a $1 billion startupbuilding the next frontier of AI.Fei-Fei Li reveals the missing piece of intelligencethat language models can't see, the four abilitiesthat make it up, and what her billion-dollar startupis racing to build to solve it.

Listen to the full episode here!

Spotify:https://open.spotify.com/episode/1FvQHmEJoGUARR2EY6AEWk?si=5Cg_cgN4RaiaC4UkIDaH-A

Apple: https://podcasts.apple.com/il/podcast/silicon-valley-girl-ai-tech-and-career-growth/id1819090545?i=1000774171967

Watch the full episode on YouTube: https://youtu.be/subu-xHrp1w?si=2nyuRfaTPdHTs8s-

Luana Lopes Lara is the world's youngest self-made woman billionaire, by Forbes' count. In 2018, she co-founded Kalshi, a platform where anyone can look up the odds on things that haven't happened yet. This May, the company raised $1 billion at a $22 billion valuation. Her entire job is watching what people bet real money on.Luana Lopes Lara sits down with Marina Mogilko, Silicon Valley Girl, to discuss what the board already knows. What actually changes for a normal person by the end of this year? Will 2026 feel lighter or heavier for most people? Will any jobs suddenly become safer? And how much should you be relying on the public's opinion versus reality?They cover:- The exact odds the market is giving AI as the #1 reason for job cuts this month- The doomsday AI scenario the market is quietly pricing in — and the five conditions behind it- Which jobs Luana thinks are actually getting safer, and which ones people are wrong about- Her 2026 forecast for money, and the one variable it hangs on- How Kalshi ships product with 170 people and an agent for every new hire- Why the "solo founder with agents" story is wrong- Perps: Kalshi's first product outside prediction markets, and what it lets you bet on for the first time- The principle from her Brazilian middle-class upbringing that got her from a US college application to suing the US government — and winning
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We rebuilt Silicon Valley Girl for GEO. Generative Engine Optimization. Two months ago, if you asked ChatGPT or Perplexity for AI podcast recommendations, the podcast Silicon Valley Girl didn't show up at all.

Today we're the 5th most visible of the 11 podcast brands we track. Our AI visibility doubled.I'll show you the 5 steps in the exact order we did them, so you can run the same system on your business, your podcast, or your website.

Links: 📩 Get our free 30-day GEO plan in the Future Proof newsletter : https://siliconvalleygirl.beehiiv.com/geo-30-day-plan🔗 My Instagram: https://www.instagram.com/siliconvalleygirl/📌 My Companies & Products: https://partnerships.marinamogilko.co

What if the smartest thing you could do for your kids in the age of AI is not send them to college?

Mo Gawdat is the former Chief Business Officer at Google X, where he spent over a decade running business innovations before becoming one of the world's leading voices on AI and its impact on humanity.In this Moment, Mo Gawdat reveals why he believes college won't exist in ten years, the four skills every kid needs to prepare for an AI-first world, and his prediction thatAGI is arriving this year.

Listen to the full episode here!

Spotify:https://open.spotify.com/episode/1tMNXqcvziqiV1xgT032ih?si=zB4Lk1A4TduntKVsSzSq9Q

Apple: https://podcasts.apple.com/il/podcast/silicon-valley-girl-ai-tech-and-career-growth/id1819090545?i=1000758651130

Watch the full episode on YouTube: https://youtu.be/E0Q96IKXx6Q?si=BfISl1WByxtLJBpw

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In this episode of the Silicon Valley Girl Podcast, Marina Mogilko sits down with Anne Wojcicki, co-founder and CEO of 23andMe — the genetic testing company that has helped more than 14 million people understand their ancestry and health risks, and built one of the largest human genetic datasets in the world.After 23andMe went through bankruptcy and Anne lost control of the company she started in 2006, she fought to win it back at a court-approved auction and relaunched it as a nonprofit (TTAM Research Institute) — so no single pharma company would ever own your DNA.In this conversation she breaks down what AI + your DNA can actually do for your health right now: predicting disease years before you feel it, the genetic risk factors everyone should test for, why the healthcare system is built to treat disease instead of preventing it, and the small daily habits that move the needle most.She also opens up about the hardest year of her life — losing her sister, former YouTube CEO Susan Wojcicki, to lung cancer, going through bankruptcy, and why she refused to walk away. Plus: raising kids as a founder, having a baby at 45, co-parenting with her ex-husband Sergey Brin, and the single smartest thing you can do for your body in 2026.

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Erik Brynjolfsson is the Stanford economist who has spent 30 years measuring what technology actually does to jobs. He wrote "The Second Machine Age," directs the Stanford Digital Economy Lab, and just published "Canaries in the Coal Mine" — the paper showing AI has already cut employment 16% for workers under 25 in the most exposed jobs.

If you're trying to figure out where your career goes in an AI world — which side of the line your job is on, and what to do about it — this one is for you.

Topics: AI and jobs, future of work, automation, career advice, AI agents, entry-level jobs, economics of AI, Erik Brynjolfsson, Stanford Digital Economy Lab, Silicon Valley Girl

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Who actually gets access to AI, and does it stay open to everyone or slowly turn into a privilege for a few? Daniil and David Liberman came on to answer that. They're building a decentralized alternative to Big Tech AI. We got into why every job eventually gets disrupted (and the real timeline), the one-hour-a-day habit that beats Netflix for staying ahead, and how pointing ChatGPT's camera at a broken pipe fixed 3 years of no hot water in their house. Stay to the end for the rapid-fire round: whether today's AI leaders will still lead in five years, and the single most underrated move you can make tomorrow to control your life in ten. Feeling behind on AI? This is the 3-year map.

We cover:

1. Is AI overhyped, and the COVID-like moment they expect within 2 years

2. The plumber test: 3 years of no hot water, fixed by ChatGPT's camera

3. Why Dario Amodei owns ~1.5% of Anthropic, and who really controls AI

4. Which jobs get disrupted first, and the timeline (next year vs. 5–10 years)

5. Why "open weight" Chinese models aren't the same as open source

6. The one-hour-a-day habit for surviving the next 3 years.

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Sal Khan built Khan Academy into a free education platform used by over 200 million people worldwide. Now he's writing a book called Job Shock, arguing AI could disrupt jobs faster than his own past predictions accounted for.

Which jobs are already disappearing. Which ones are safe. What Khan Academy is doing internally with AI, including a $1.2M/year Anthropic bill.

And Sal's new venture with TED and ETS: a $10,000, accreditation-pending degree built around durable skills — the kind AI still can't replicate.

Links:

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