Silicon Valley Girl: AI, Tech and Career Growth

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.

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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?utm_source=spotify&utm_medium=description&utm_campaign=futureproof-sub&utm_content=30-days-plan&utm_term=james-manyika

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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?utm_source=spotify&utm_medium=description&utm_campaign=futureproof-sub&utm_content=7-Brian-Chesky

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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?utm_source=spotify&utm_medium=video&utm_campaign=futureproof-sub&utm_content=first-agent&utm_term=10professions 🎧 *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?utm_source=spotify&utm_medium=description&utm_campaign=futureproof-sub&utm_content=7-skills

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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?utm_source=spotify&utm_medium=description&utm_campaign=futureproof-sub&utm_content=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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Matthew Derella runs the ads business at LinkedIn, a platform with over 1 billion professionals.

A recent guest on this podcast told me you have two years left to build a personal brand before AI floods the feed. I brought that argument to Matt at Cannes, and he took the other side: the more AI content there is, the more the credibility of the source decides who gets found, and LLMs already lean on citations from people who know their stuff. He shared the numbers behind it: founders who post regularly on LinkedIn are 71% more likely to drive business on the platform, video is growing at over 20%, and 3 out of 4 CMOs now say a media plan without a creator is incomplete. Stay till the end for his 3 steps to start on LinkedIn in 2026

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Govind Balakrishnan is the SVP running Adobe Express. He's spent 20 years at Adobe and watched creation move from desktop to mobile to social feeds. We sat down at Cannes to talk about why AI content doesn't get views. His answer: everyone blames the algorithms, but it's humans who are tuning it out. AI now gets you 60–70% of the creative work in minutes. The last 20–30%, where you add your own taste and voice, is the part people actually watch. He also told me why he expects the industry to need more designers 3 years from now. Stay till the end for his advice to designers who are already losing clients to AI.

Steve Jurvetson has worked with Elon Musk for 29 years and was one of the earliest investors in SpaceX and Tesla, back when space wasn't even a category for venture capital. Today he runs Future Ventures, where he bets on nuclear fusion, epigenetic editing, and analog AI chips.

We recorded this live on stage, with audience Q&A at the end.

We cover:

• Why compute has compounded for 130 years, and what that curve says about the next 3 years
• Superintelligence odds: why Anthropic co-founder Jack Clark gives it a 30% chance of arriving next year
• What 29 years next to Elon taught Steve: focus, learning loops, and spotting talent (Tesla collects more AI training data in 4 days than Waymo has in its entire history)
• The 50-year question Steve asks every founder before writing a check
• His 30-day plan if you're one person with a crazy idea
• Where he's investing now: fusion, meat without slaughter, free healthcare via your phone
• When machines do everything, what's left for us

Links:

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📌 Head to https://granola.ai/marina and enter the code MARINA for 3 months off.

Richard Socher is the fourth most-cited researcher in the history of natural language processing — he invented the word vectors and prompt engineering that run inside almost every chatbot you use. He sold his first startup to Salesforce, built You.com into a $1.5B unicorn, and in May 2026 raised $650M at a $4.65B valuation for Recursive: an AI that runs its own experiments and rewrites itself. In this conversation he explains why he thinks the self-improvement loop arrives within two years, which jobs grow and which disappear, and his hack for seeing the future — look at what only the wealthy can afford today, then ask which of it is bottlenecked on intelligence. Stay till the end for the first question he'd ask a superintelligence.Feeling behind on AI and don't know where to start? Start here.

Feeling behind on AI and don't know where to start? Start here.

We cover:

• Reward hacking: why an AI told to raise customer satisfaction will quietly spin up a million bots that rate themselves 5/5 — and the new job of "reward engineering" that comes with it
• His two-year timeline for recursive self-improving superintelligence — and why energy, not intelligence, becomes the next bottleneck
• Why superintelligence isn't one thing: the "volumetric" view of intelligence, and the one dimension no lab is working on — an AI choosing its own goals
• The elasticity rule for which jobs grow and which vanish — why illustrators got hit hard but software engineers are in more demand than ever
• His hack for seeing the future: what only the wealthy can afford today — a personal tutor, a private assistant, a full medical team — and which of it is bottlenecked on intelligence
• Why home robots are stuck on a hardware problem, not a software one
• How he recruited co-founders away from DeepMind, OpenAI, and Meta
• Whether a PhD is still worth it in AI — and what he tells parents to have their kids study instead
• Where he'd invest right now: why "AI is to biology what calculus was to physics"
• His first question to a superintelligence — and what still gives people meaning in 2035

Links:
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📌 My Companies & Products: https://Marinamogilko.co

Dr. Fei-Fei Li created ImageNet — the dataset that triggered the deep learning revolution. Now she runs World Labs, where she just raised $1 billion to teach AI something it still can't do: understand physical space. She was named Time Person of the Year in 2025 and won the Queen Elizabeth Prize for Engineering.

David Rogier founded MasterClass in 2015 on the idea that everyone should have access to world-class teachers. He has an MBA from Stanford and now builds all his own work tools with Claude Code instead of buying software — including a to-do list app that auto-deletes anything sitting on the list for more than a day and a half.

In this episode, we get into what AI can already do and what it still can't, why the two loudest takes on AI — that it'll save the world, and that it'll take all the jobs — are both wrong, and what your kids' schooling and your own career actually look like in 10 years.

We cover:

• Why Fei-Fei Li says "the cost of intelligence goes to zero" is an irresponsible claim — and what human intelligence actually includes beyond language
• Spatial intelligence: the four things AI still can't do (understand, reason about, generate, and interact with 3D space) — and why World Labs is betting $1B on it
• The barbell effect in the workforce: why being "decent" at anything isn't enough anymore, and the two roles that will thrive — top 1% specialists and high-agency generalists
• Why AI tutoring delivers the same learning in 60% less time — and why the real obstacle to changing education isn't the technology
• David's full CEO stack: custom apps he built himself, "Davidify" — his own AI clone he gave his team — and why he stopped buying software
• The one thing to do when an employee is scared to try AI: sit down with them, not send a YouTube link
• What the job of product manager looks like today vs. five years ago — and why Fei-Fei only hires PMs who are riding the wave
• Fei-Fei's advice for non-tech professionals: find someone under 25 and let them show you their world for a weekend
• How long until AI handles the laundry — Fei-Fei's actual estimate

Links:
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💼 LinkedIn: ⁠⁠https://www.linkedin.com/in/marinamogilko⁠⁠

📌 My Companies & Products: ⁠⁠https://Marinamogilko.co

Peter Yang spent 10+ years building products at Roblox, Reddit, Amazon (Twitch), and Meta. Then he walked away from a high-paying job at Roblox to go all-in as a solo builder. His newsletter Behind the Craft has 140K+ readers, and his podcast has deep conversations with 30+ AI leaders from Anthropic, Google, Cursor, and Replit.

In this episode he breaks down how: how to move from using AI like a search engine to building systems that run your work, how to build a personal AI that knows your strategy, and the one thing to do this week to get ahead.

We cover:

• The 5 layers of AI adoption, from "I ask ChatGPT questions" to "AI runs my whole operation," and how to find which layer you're actually on
• Why you should stop using ChatGPT and Claude chat and switch to Codex or Claude Code, even if you've never written a line of code
• The one-day reset: cancel every meeting, brain-dump your real workflows out loud, and let AI turn them into skills that save hours every week
• TRICK: the personal advisor skill — a one-page Google Doc with your goal, your principles, and what gives vs. drains your energy, so your AI checks your decisions before you make them
• How he uses learnings.md so his AI remembers the right things about him and gets smarter every conversation
• The "last 10%" rule that keeps AI content from becoming slop, and why human taste is the whole job now
• How he builds a working personal app (a fitness tracker, a scam-email blocker for his parents) in a couple of hours
• His honest fears: getting dumber on a flight with no wifi, and what he's doing differently to raise kids who still learn the fundamentals
• The exact action plan for your next 7 days to go from consumer to builder

Links: Subscribe to my free newsletter where I go deeper on AI tools, career strategies, and building with AI: ⁠https://siliconvalleygirl.beehiiv.com/subscribe?utm_source=spotify&utm_medium=video&utm_campaign=futureproof-sub&utm_content=PeterYang⁠

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💼 LinkedIn: ⁠https://www.linkedin.com/in/marinamogilko⁠

📌 My Companies & Products: ⁠https://Marinamogilko.co

Esther Wojcicki is the "Godmother of Silicon Valley." She raised three daughters: Susan, who ran YouTube; Anne, who founded 23andMe; and Janet, a professor and anthropologist. Her parenting advice got me through the hardest parts of new motherhood, and YouTube, which Susan built, is the reason I have a career at all.

In this episode we cover:

• The one rule that decides whether AI makes a kid smarter or just lets them cheat themselves: do the work first, then ask AI to grade it like a teacher
• Why she's against banning phones, social media, or AI for kids, and what she'd teach instead
• TRICK: the five-part system (Trust, Respect, Independence, Collaboration, Kindness) she used to raise three founders, and how to run it on yourself as an adult
• How to rebuild trust in yourself if you were raised to chase everyone else's approval
• The three sentences she told Anne when 23andMe was falling apart
• The billion-dollar bet Susan almost didn't make, the one that became YouTube
• Why she still tells parents to push for college in the AI age
• What she says to every mom who's afraid AI will take her kid's job

Links:
Subscribe to my free newsletter where I go deeper on AI tools, career strategies, and parenting in the AI age: https://siliconvalleygirl.beehiiv.com/subscribe?utm_source=spotify&utm_medium=video&utm_campaign=futureproof-sub&utm_content=EstherWojcicki
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💼 LinkedIn: https://www.linkedin.com/in/marinamogilko
📌 My Companies & Products: https://Marinamogilko.co

Grant Lee is the co-founder and CEO of Gamma — the $2.1B AI tool that turns one prompt into a finished presentation, now used by 100 million people.

We covered:

• How Gamma hit $100M in revenue with a team of just 50 — profitably, on only $23M of funding
• The two signs you have product-market fit before the money shows up, and why "your friends will lie to you" about your product
• How to run a full fundraise in two weeks — Grant did 100+ pitches and how he turned a wall of no's into yes's
• How to tell if an idea is worth a year of your life (he picks by energy, not spreadsheets)
• Why a top investor called Gamma "the worst idea I've ever heard" — and what that investor actually got right
  
• The exact first-30-days plan he gives any founder starting today

Links:

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LinkedIn: ⁠⁠⁠https://www.linkedin.com/in/marinamogilko⁠⁠⁠

My Companies & Products: ⁠⁠https://partnerships.marinamogilko.co

Eddie Kim is the co-founder and CTO of Gusto — the $10B payroll and HR platform that millions of small businesses run on.

Gusto just launched Gusto Cofounder — an AI teammate for small businesses: payroll, compliance, and daily ops handled before they become problems.

Learn more about cofounder here -> https://gusto.com/cofounder?idgm=2mm6b6i2

We covered:

• The two levels of using AI in a business, and why almost everyone is still stuck on the first one
• How Gusto's AI found $70M in tax credits owners had no idea they qualified for, including one pool company now collecting $50K a year
• How to hand off the "work before the work" so payroll runs itself two days early and all you do is tap approve
• How to run your whole back office from a text message, with your Notion and spreadsheets plugged straight in

How to stay ahead of tens of thousands of changing tax rules without reading a single one

Links:

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LinkedIn: ⁠⁠https://www.linkedin.com/in/marinamogilko⁠⁠

My Companies & Products: ⁠https://partnerships.marinamogilko.co

#GustoPartner

In 5 years the most valuable companies will run as a closed AI loop — every call, email, and content metric feeding back into one system that acts faster than any human team. In this video I walk through the 5 levels we're building inside my own company, from the foundation layer to the part most founders skip. If you're a founder, creator, or operator trying to make this real in your own business, this is the playbook.

Links:

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My Companies & Products: https://partnerships.marinamogilko.co

📌 Head to https://granola.ai/marina and enter the code MARINA for 3 months off.Chris Pedregal built a $1.5 billion AI app in 3 years, in a category where Zoom and Google already had similar features before he launched.

In this conversation he hands over the exact playbook for breaking out of a crowded market with a tiny team and a small marketing budget — a playbook anyone can use to win in the AI era.

We cover:

• Why Chris kept Granola in closed beta for a full year before launching — and how 150 users taught him more than any public launch would
• The 2x2 matrix he uses to decide if a startup idea can survive in a market with big competitors
• How Granola grew virally with zero built-in growth loops — no automated emails, no forced sharing
• The dot plot: the early-stage retention tool that replaced usage graphs for Chris's team
• Why he doesn't use AI for product decisions — and what he uses it for instead
• How to turn 2,500 meeting recordings into a virtual chief of staff
• The one thing small teams can do that Google and Zoom structurally can't

Links:

Subscribe to my newsletter: ⁠⁠⁠https://siliconvalleygirl.beehiiv.com/subscribe?utm_source=spotify&utm_medium=video&utm_campaign=futureproof-sub&utm_content=ChrisPedregal

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LinkedIn: ⁠https://www.linkedin.com/in/marinamogilko⁠

My Companies & Products: ⁠⁠⁠⁠⁠https://Marinamogilko.co⁠⁠