1st10 Podcast

What if everything your financial advisor ever told you was designed to benefit *them*, not you? On this episode of the 1st10 Podcast, Boris Epstein sits down with Shashank Chiranewala, founder of Plutus, to unpack the unconventional journey that took him from investment banking to product leadership at Microsoft and Meta - and ultimately into building fintech startups. Shashank takes us through an unconventional founder journey: spotting a painful gap in U.S. immigration software while applying for his own green card at Meta, building a SaaS solution in a week out of sheer intellectual curiosity, getting acquired within 18 months - and then launching his *next* company before the ink on the acquisition paperwork had dried. Shashank is currently building Plutus to tear down the wall between everyday investors and the kind of sophisticated, research-driven portfolios that only hedge funds and ultra-wealthy individuals have historically been able to access.Specifically, don't miss the part where Shashank delivers blunt insights on Big Tech bloat, startup culture, hiring founding engineers, and how small elite teams can outperform massive organizations.PS: At Plutus, Shashank and his lean team of six are building a marketplace that matches everyday investors with bespoke, research-backed portfolios across 60+ themes and risk profiles, executing those strategies automatically inside the investor's own brokerage account. And right now, they're looking for their next founding engineer.Chapters00:00 Teaser02:04 Introductions & Ice-breakers06:04 The personality trait that keeps pushing him into startups09:22 A startup to solve his own problem12:06 The uncomfortable reality of Big Tech17:25 "AI probably won’t kill too many jobs"18:57 How a startup accidentally got acquired22:43 A spreadsheet with 70 startup ideas24:11 The investing problem that sparked a new company28:31 An investing system that's been rigged against you34:23 How Plutus is helping unlock hedge-fund-style portfolios37:58 Big Banks sell you stuff you don't need42:35 The DNA of Plutus' six-person startup team45:04 What it takes to join this team - and what you'll get50:48 Why Plutus doesn't sell AI (but uses a ton of it)53:13 The 5x-10x productivity boost from AI toolsQuotes:"I was routinely in meetings with 15 engineers getting paid over a million dollars a year!" - Shashank Chiranewala (13:42) "If you don’t have $100 million, you’re basically locked out of elite investment strategies." - Shashank Chiranewala (32:30) "No AI is ever supposed to be the customer product." - Shashank Chiranewala (51:12) "The broker has nothing to do with an actual investment strategy. Their incentives are completely misaligned. They want you to trade. They make money on commissions." - Shashank Chiranewala (39:49)"We're just building for the customer. And my customer needs to manage their money better." - Shashank Chiranewala (51:12)Follow:Spotify: https://podcasters.spotify.com/pod/show/1st10podcast Amazon: https://music.amazon.com/podcasts/7e8ec9af-f38c-4cd9-8c68-1c1dd4516b 27/1st10-podcastApple: https://podcasts.apple.com/us/podcast/1st10-podcast/id1760411207 Podcast: https://www.1st10.com/podcast YouTube: https://www.youtube.com/@1st10podcast Links:Shashank Chiranewala on LinkedIn: https://www.linkedin.com/in/shashank-chiranewala/Plutus (website): https://www.runplutus.comPlutus (LinkedIn): https://www.linkedin.com/company/runplutus/Seattle entrepreneurs raise cash for new startup aiming to democratize thematic portfolio investing - GeekWire: https://www.geekwire.com/2025/seattle-entrepreneurs-raise-cash-for-new-startup-aiming-to-democratize-thematic-portfolio-investing/Citrini Research: https://www.citriniresearch.comMusic by Roman Senyk from PixabayProducer: Shrikant Joshi

What happens when you realize in middle school that the greatest impact you can make is solving humanity's most complex diseases? On this episode of the 1st10 Podcast, host Boris Epstein sits down with Alice Zhang, founder and CEO of Verge Genomics, to unpack why drug discovery has been stuck for decades - and why AI, used the right way, might finally change that. Alice dropped out of a prestigious UCLA MD-PhD program to build an AI-powered drug discovery company that's rewriting the rules of biotech. In this conversation, Alice reveals:Why relying on mouse models to predict human drug responses has led to a 90% failure rate in clinical trialsHow conducting 1,200+ interviews helped Alice build a rare team of engineers and scientists fluent in both machine learning and biologyThe conscious culture framework that eliminates workplace dramaHow Verge compressed the traditional 8-year, hundreds-of-millions-dollar journey from discovery to clinical trials down to just 4 yearsWhy it is a problem that we fundamentally don't understand what causes the diseaseSpecifically, don't miss the part where Alice predicts why the pharmacological research industry will move away from the current hybrid model and what it is likely to split into!Chapters:00:00 - Episode Preview02:05 - Introductions05:05 - Small Questions, Big Implicationsg13:18 - "Just Start" ALWAYS Beats Confidence16:21 - The Mouse Problem22:40 - Beating ChatGPT To The ChatGPT Moment28:26 - 3 Areas for AI-IMpact In Drug-Development33:22 - Why Are Drugs Are So D*** Expensive?!35:07 - Building A Dataset That No One Else Has39:31 - "Conscious Culture" Careers at Verge49:35 - A 2026 Prediction Most Founders Won't Like52:09 - Contact Details and Life LessonsQuotes:"The feeling I wanted to have was that I had made a big impact and left a legacy on the world." - Alice Zhang (05:27)"A mouse swimming in a water bath is not going to predict whether a human loses their memory faster or slower." - Alice Zhang (16:14)"No transformative technology from day one has ever been a smashing success." - Alice Zhang (23:49)"The problem with Alzheimer's disease is not that we don't have a drug against it. It's that we completely have no idea what causes Alzheimer's disease." - Alice Zhang (33:52)"Sometimes the best trick for catching a wave isn't actually working hard, it's being at the right position at the right time." - Alice Zhang (52:09)Follow:Spotify: https://podcasters.spotify.com/pod/show/1st10podcast Amazon: https://music.amazon.com/podcasts/7e8ec9af-f38c-4cd9-8c68-1c1dd4516b 27/1st10-podcastApple: https://podcasts.apple.com/us/podcast/1st10-podcast/id1760411207 Podcast: https://www.1st10.com/podcast RSS: https://anchor.fm/s/f951319c/podcast/rss YouTube: https://www.youtube.com/@1st10podcast Links:Alice Zhang on LInkedIn: https://www.linkedin.com/in/alice-zhang-2087862b/Verge Genomics: https://www.vergegenomics.com/Alice Zhang on ResearchGate: https://www.researchgate.net/profile/Alice-Zhang-8Music by Roman Senyk from PixabayProducer: Shrikant Joshi

The startup world is splitting into two radically different realities - and 2026 will be the year this divide becomes impossible to ignore. On this episode of the 1st10 Podcast, Boris grades his 2025 forecasts (4.5/5 - not bad!), revealing which bets paid off and where he missed the mark on Bitcoin's meteoric rise. But the real focus is forward: FIVE bold predictions for 2026 that cover everything from crypto's regulatory renaissance and the coming IPO tsunami to a troubling "tale of two cities" emerging between those building the AI-powered future and those struggling to break in. Tune in to hear Boris share incredibly insightful takes that explain:Why last year's "wild guesses" suddenly look obvious in hindsightThe quiet shift that makes this moment historically differentA comeback story most people are calling too earlyWhy talent, not ideas, becomes the real bottleneckHow "efficiency" and "hiring booms" can both be trueThe emergence of TWO Americas - the AIs and The AIn'tsWhether you're a founder chasing funding, an engineer choosing your path, or simply trying to understand where the tech world is headed, this episode cuts through the hype to reveal what's really at stake in 2026.Chapters00:00 Introductions02:18 Grading the 2025 Crystal Ball05:04 When AI Agents Became Non-Negotiable08:58 The Meme That Accidentally Explained the Job Market12:28 A Framework That Suddenly Explains Everything14:20 Prediction #1: A Controversial Bet. (Again.)19:06 Prediction #2: "Floodgates Opening..."21:10 Prediction #3: A Wave of... Consolidation?27:05 Prediction #4: Hiring Will... Boom?!30:02 Prediction #5: The Tale of Two Cities35:10 Is the American Dream Really Over?Quotes:"This year, every single company that's building in the AI space needs their engineers to have agentic development experience. So it's crazy how, in just one year, the world went from, 'No one needs to know how to do this' to 'Everyone needs to know how to do this.'" - Boris Epstein (06:31)"I get it, Stripe. But at the same time think of the public, think of the people! The people want to be in on your success. And that's what getting to go public provides for the actual public. And so do it for the people, Stripe!" - Boris Epstein (20:46)"It's very easy to see today that the future is being built NOT. AT. FAANG. Right? And so the episode really just talks about the important choice that an engineer has to make and it is: 'Do they want to be a part of the future?' Or, 'do they want a very cushy compensation and work-life package?'" - Boris Epstein (26:33)Follow Us On:Spotify: https://podcasters.spotify.com/pod/show/1st10podcast Amazon: https://music.amazon.com/podcasts/7e8ec9af-f38c-4cd9-8c68-1c1dd4516b 27/1st10-podcastApple: https://podcasts.apple.com/us/podcast/1st10-podcast/id1760411207 Podcast: https://www.1st10.com/podcast RSS: https://anchor.fm/s/f951319c/podcast/rss YouTube: https://www.youtube.com/@1st10podcast Connect with usWebsite: www.1st10.comPodcast: www.1st10.com/podcast Twitter www.x.com/1st10engineersLinkedIn: www.linkedin.com/company/1st10/YouTube: www.youtube.com/@1st10podcast Episodes Referenced:- S3E01 feat. Philip Su: https://www.youtube.com/watch?v=IWtcGUJJgOE- S3E03 feat. Daniel Rock: https://www.youtube.com/watch?v=RUCYRa6YqDc- S3E04 feat. Sara Ali: https://www.youtube.com/watch?v=p6ZEHOGbSjk- S3E09 feat. Anastasios Angelopoulos: https://www.youtube.com/watch?v=sPoqP5fiqYoSources:- 2025: The State of Generative AI in the Enterprise | Menlo Ventures - https://menlovc.com/perspective/2025-the-state-of-generative-ai-in-the-enterprise/- The State of AI: Global Survey 2025 | McKinsey - https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai- Rise | Top Global Hiring Trends for Startups (2025 Data) - https://www.riseworks.io/blog/top-global-hiring-trends-for-startupsMusic by Roman Senyk from PixabayProducer: Shrikant Joshi

What happens when three PhD students accidentally build the infrastructure that every major AI lab depends on? OR What if the AI benchmarks everyone trusts are measuring the wrong thing entirely?On this episode of the *1st10 Podcast*, host Boris Epstein sits down with Anastasios Angelopoulos, co-founder and CEO of LMArena, to unpack LMArena went from a Berkeley side project built with free pizza and zero revenue to a $100M company with 42 employees and tens of millions of users in under two years.Tune in to hear them talk about:- How Academic AI benchmarks measure the wrong things and real-world user feedback is - fundamentally changing how models compete- Why $100M wasn't crazy for a "seed" round - especially when a company has already proven product-market fit- The diversification play in AI, or why dozens of winners will emerge, not just one dominant player- Why Personalized AI i.e., individual leaderboards that route you to the best model is the obvious next step.- The uncomfortable automation truth - Rote jobs WILL disappear, period.- What happens when academic rigor meets commercial speed. (HINT: An unfair advantage in AI evaluation!)Specifically, don't miss Anastasios' surprisingly pragmatic advice on what AI's acceleration means for jobs, companies, and individuals and why being early to the AI revolution means you still have 20 years to position yourself.Chapters00:00 Introductions and ice-breakers05:41 The Academic Path That Accidentally Led to AI's Center08:36 A Side Project That Refused to Stay Small12:04 When Academics Realize They Built a Company15:50 The Bradley-Terry Model: Turning Preferences Into Ranked Data19:22 Your Personal AI Leaderboard Is Coming23:48 "We're 20 Years Ahead of the Pack"26:17 Why a $100M Seed Round Was the Rational Move29:58 Who Makes Up LMArena? And Why?34:47 The LMArena Hiring Philosophy36:56 The Jobs AI Will Definitely Kill40:12 Surf the Wave or Get Pulled UnderQuotes:"We're at Berkeley we're eating pizza, free pizza, making no money but Sam Altman cares what we're doing!" - Anastasios Angelopoulos (10:49)"We're academics by nature. We don't care about aggrandizing or enriching ourselves." - Anastasios Angelopoulos (12:28)"Who cares how well it does on a Math Olympiad? I do mathematics in my work, and even I don't care about it!" - Anastasios Angelopoulos (14:36)"We're very, very early... There's trillions of dollars of economic value that are waiting to be created." - Anastasios Angelopoulos (23:59)"If you're somebody who's proofreading text for grammatical mistakes [...] yeah, you should expect that that job is not going to be there in, like, 20 years!" - Anastasios Angelopoulos (38:19)"The right thing to do is probably to lean in, to try to use the technology, become an expert in it, and be at the forefront of modernizing your field. Because if you do that, then you can be carried with the wave. The problem is if you don't surf the wave, you might get caught in the pullback!" - Anastasios Angelopoulos (40:29)Follow:Spotify: https://podcasters.spotify.com/pod/show/1st10podcast Amazon: https://music.amazon.com/podcasts/7e8ec9af-f38c-4cd9-8c68-1c1dd4516b 27/1st10-podcastApple: https://podcasts.apple.com/us/podcast/1st10-podcast/id1760411207 Podcast: https://www.1st10.com/podcast RSS: https://anchor.fm/s/f951319c/podcast/rss YouTube: https://www.youtube.com/@1st10podcast Links:Music by Roman Senyk from PixabayProducer: Shrikant Joshi

Sreerama Tripuramallu, a repeat founder with a tech pedigree from NVIDIA, dives into the complexities of tax management in the digital age. He contrasts the shortcomings of general AI in tax calculations—where accuracy is paramount—against the backdrop of a looming CPA shortage. Sree discusses his journey from NVIDIA to founding Mirage, and now, a new stealth project aimed at revolutionizing tax forecasting. He advocates for a user-centric approach, emphasizing the need for precise tools that can truly assist consumers in their financial planning.

What kind of founder decides to build a full radiology practice, an AI research lab, and a software company - all at once?On this episode of the 1st10 Podcast, Boris Epstein sits down with Rustin Rassoli, founder of Epsilon Labs to talk about why solving the U.S. radiology crisis requires breaking the rules of traditional healthcare tech. Rustin recounts his early entrepreneurial experiments, the lessons learned at Atomic VC, and the childhood experiences that exposed him to the failures and bottlenecks inside medical imaging. He details how Epsilon manages a daily throughput of 500+ patients, why existing AI models fail at medical imaging, and what it really takes to build a hybrid org where radiologists, ML researchers, and world-class engineers operate as one unit. Rustin’s unconventional path led him from drop-shipping at age 10, to cold-DMing his way into venture studios, to tackling one of healthcare's most critical problems. And he’s now betting that his integrated 3-in-1 approach might be the only viable path to solving a medical crisis accelerating toward disaster.Inside you’ll find answers to some fascinating questions, such as:Why a "normal" AI startup approach simply cannot solve one of healthcare's fastest-accelerating failures. How a childhood insight inside an imaging center quietly shaped a multi-layered startup strategy years later. What happens when engineers and radiologists attempt to collaborate without speaking the same language. Which single overlooked bottleneck has the potential to determine whether AI can meaningfully affect patient outcomes at scale. Why Rustin believes a tectonic shift is coming for AI startups - and why most won't survive it. Specifically, don’t miss the part where Rustin shares candid views on the current AI bubble. Spoiler alert, he isn’t very happy with Silicon Valley and its ‘throw-cash-at-everything’ VC culture!Chapters00:00 Introductions02:16 An Unexpected Origin Story05:18 Learning the Hard Way in Zero-to-One Land08:31 "Getting the First Job" Might Be the Wrong Goal12:15 The Radiology Crisis Is Impossible to Ignore17:14 What Happens When Demand Explodes and Supply Collapses20:41 Solving This Problem Requires Building a 3-in-123:07 The Strange Dance Between Radiologists and AI Engineers27:52 "Just Make the Model Better" Isn't How AI Works31:46 Medical AI Accuracy & Hidden Technical Battles35:56 Building a Team for an "Impossible" Mission38:47 A Brutal Reality of the AI Talent War41:53 Predictions for 2026 (HINT: The Bubble Must Burst!)Quotes:"I want my tombstone to say, 'This guy solved the radiology shortage and did some other kind of impactful things with medical imaging.'" (16:43) "I think engineers don't fully appreciate how nuanced radiology is and the fact that it's not binary. And a Radiologist A can be very kind of differently opinionated on something than Radiologist B." (28:08) "99% of what's being created today is not very valuable to the world." (39:25) Follow:Spotify: https://podcasters.spotify.com/pod/show/1st10podcast Amazon: https://music.amazon.com/podcasts/7e8ec9af-f38c-4cd9-8c68-1c1dd4516b 27/1st10-podcastApple: https://podcasts.apple.com/us/podcast/1st10-podcast/id1760411207 Podcast: https://www.1st10.com/podcast YouTube: https://www.youtube.com/@1st10podcast Links:Music by Roman Senyk from PixabayProducer: Shrikant Joshi

56% more job openings, 3x more applications, but 8 MORE days to fill roles! CEO of Gem.ai shares data that explains why most recruiting careers are about to hit a wall…In this eye-opening conversation, Boris Epstein sits down with Steven Bartel, CEO of Gem.ai, to explore the shocking transformation happening in recruiting right now. From North Korean actors infiltrating hiring processes to AI-generated deepfake interviews, the recruiting landscape has become a battlefield. Steve reveals how recruiters are drowning under 3x more applications while handling 56% more open roles, yet companies refuse to expand recruiting teams. Steve shares exclusive data on how AI is saving companies up to 90% of their application review time and how Gem is embedding AI deeply into recruiting workflows - from sourcing agents to fraud detection - to help recruiters work smarter, not just harder. Tune in to hear them talk about:The Application Apocalypse: Recruiters are experiencing a 3x increase in applications while handling 56% more open roles.The Fraud Arms Race: Fraud in hiring is escalating, with cases of North Korean actors, deepfake interviews, and AI-generated resumes.The Efficiency Revolution: AI is cutting application review time by up to 90% for leading companies.The Human-AI Partnership: Recruiters who embrace AI will outperform those who resist it; AI augments human judgment.The Data-Context Challenge: The future of recruiting AI is about having complete relationship histories and touchpoint data to enable hyper-personalized outreach.Specifically, don't miss Steve's bold prediction on how he expects AI to reshape recruiting over the next few years!Chapters00:00 Highlights from the episode03:45 When Your Interview Is With AI09:08 North Korea's Recruiting Infiltration12:06 The Deepfake Interview Dilemma19:13 Why Recruiters Are Burning Out23:18 Will AI Kill the Recruiting Industry?27:24 FAANG Engineers vs AI Natives - a Recap33:24 The Recruiter's New Role in an AI-First Future41:40 A Bold Prediction About What Comes Next46:29 Solving The Source of Truth ProblemQuotes:"Each recruiter, on average, is dealing with three times the inbound applicants across our customer base. And more than 20% of our customers are getting thousands of applicants for a single role." - Steve Bartel (02:18)"I think some of these folks are using deepfake videos, which are getting surprisingly sophisticated. I've heard this recommendation where companies are going as far as to say 'Hey, can you put your hand in front of your face?'" - Steve Bartel (12:25)"If you talk to most recruiters in the industry, they are working a lot harder than ever before." - Steve Bartel (25:34)"AI is not going to replace recruiters, but recruiters who embrace AI are going to replace the recruiters who don't." - Steve Bartel (43:50)"The hardest part of AI is no longer like the underlying algorithm. [...] The hard part about AI is what data does the AI have actually access to and what kind of context does it have access to..." - Steve Bartel (46:01)Follow:Spotify: https://podcasters.spotify.com/pod/show/1st10podcast Amazon: https://music.amazon.com/podcasts/7e8ec9af-f38c-4cd9-8c68-1c1dd4516b 27/1st10-podcastApple: https://podcasts.apple.com/us/podcast/1st10-podcast/id1760411207 Podcast: https://www.1st10.com/podcast RSS: https://anchor.fm/s/f951319c/podcast/rss YouTube: https://www.youtube.com/@1st10podcast Links:Gem: https://www.gem.comSteve Bartel on LinkedIn: https://www.linkedin.com/in/steve-bartel/Gem’s Benchmarks Report 2025: https://www.gem.com/resource/recruiting-benchmarksMusic by Roman Senyk from PixabayProducer: Shrikant Joshi

On this episode of the 1st10 Podcast, Boris Epstein, founder of 1st10 and former FAANG-level recruiter, reveals a shocking reality behind AI startup hiring practices and why the most talented engineers in tech might be getting left behind. Drawing from his decade of experience recruiting for top tech firms like Robinhood, Instacart, and Stripe, Boris explores why AI founders are wary of FAANG talent, what biases drive this perception, and how engineers can adapt to stay relevant. He contrasts grind culture with lifestyle gigs, zero-to-one building with scale, and passion projects with polished résumés. The episode is a wake-up call for FAANG engineers as well as a cautionary tale for startups dismissing valuable talent too quickly.Tune in to hear Boris explain:The Great Talent Paradox: AI startups systematically avoiding FAANG engineers seems to be creating a disconnect between supply and demand in the hiring market.The Hurdles of Work Culture: The 9-to-5 easy-going lifestyle preferred by FAANG engineers versus the 60-70 hour weeks demanded by AI startups is presenting a major hiring barrier.The HP-Internet Moment: Engineers face a stark choice: be part of the AI future or risk obsolescence if they don't adapt quickly.The Zero-to-One Test: Building something from scratch is the ultimate litmus test for AI startup hiring. Specifically, don't miss the part where Boris reveals how the bias shown by AI startups against FAANG talent could backfire and what FAANG engineers need to do, if (when?) that happens.Chapters00:00 Highlights From The Episode01:23 3 Deadly Biases05:18 A Grand Canyon-Sized Gap12:13 The Power of Passion Projects15:03 HP in 1994, FAANG in 2025?22:05 The Case for FAANG Talent28:21 How to Break Into AI33:27 Startups Don’t Wait, Why Should You?37:52 A Market on Collision Course43:31 Why Both Worlds Must Evolve46:33 Do You Want to Be Part of the Future?Quotes:"The reason [AI Startups] are working very hard is because AI is believed to be by these startups (to be) a completely transformational technology, completely transformational opportunity." - Boris Epstein (07:25)"Get off the FAANG bus, get into the AI startup bus!" - Boris Epstein (17:40)"If I had a dollar and I could only put it into one of the two startups, I’d probably bet on the FAANG startup." - Boris Epstein (23:32)"Your resume isn't showing anybody what you could do for them. Your resume is showing the world what you did in the past." - Boris Epstein (30:53)Spotify: https://podcasters.spotify.com/pod/show/1st10podcast Amazon: https://music.amazon.com/podcasts/7e8ec9af-f38c-4cd9-8c68-1c1dd4516b 27/1st10-podcastApple: https://podcasts.apple.com/us/podcast/1st10-podcast/id1760411207 Podcast: https://www.1st10.com/podcast RSS: https://anchor.fm/s/f951319c/podcast/rss YouTube: https://www.youtube.com/@1st10podcast Connect with usWebsite: www.1st10.comPodcast: www.1st10.com/podcast Twitter www.x.com/1st10engineersLinkedIn: www.linkedin.com/company/1st10/YouTube: www.youtube.com/@1st10podcast Links:FAANG companies (Facebook/Meta, Amazon, Apple, Netflix, Google) - https://en.wikipedia.org/wiki/Big_TechLangChain (open-source AI framework) - https://www.langchain.com/Music by Roman Senyk from PixabayProducer: Shrikant Joshi

Sara Ali, Senior Director of Corporate Development & Strategy at Yahoo, shares insights from over 12 years in M&A with giants like Google and Microsoft. She discusses the current AI M&A landscape, explaining how 'scarcity multiples' are driving talent acquisitions while traditional revenue measures fade. Sara reveals creative deal structures that bypass regulatory scrutiny and how acquired talent can earn vastly more than their traditionally-hired counterparts. Plus, her bold prediction that GPUs will become a valuable deal currency. This is a must-listen for anyone navigating the tech industry!

On this episode of the 1st10 Podcast, Boris Epstein sits down with Daniel Rock - economist, professor at Wharton, and co-founder of Workhelix - to decode the messy reality of AI's impact on jobs, productivity, and enterprise transformation. Daniel brings a unique perspective as both an academic economist studying digital technologies and an entrepreneur building AI solutions for enterprises. The conversation explores why AI adoption might take longer than tech enthusiasts expect, how companies can strategically deploy AI tools, and why the "entry-level jobs apocalypse" might not happen as predicted. Daniel also shares his insights on teaching in the AI era, the challenges of building an AI startup, and his measured predictions for the technology's future impact.Daniel is refreshingly clear-eyed about where we actually are and where we're likely going. Below are some of the standout lessons I took away from our conversation.An entry-level job-pocalypse? Well, no. AI could just as likely augment junior talent as replace it, and in some cases, even increase demand for skilled oversight.A job isn't a task. It's a bundle of interdependent skills, roles, and context - making full automation much harder than people think.Generative AI = the new Excel. Used poorly, it's lazy. Used well, it supercharges creativity, productivity, and learning - especially among students.An Educational Revolution Is Underway. AI is quietly transforming classroom dynamics and assessment criteria in ways that mirror future workplace changes.Real transformation takes time. Like electricity and the internet, AI as a general-purpose tech will only reshape enterprise when paired with new systems, workflows, and retraining.AI Has A Real Risk No One's Talking About. It’s not superintelligence - it's bad actors with superpowers. And it matters a lot more in the near term than you think.Chapters00:00 Key Ideas From the Episode05:32 Confessions of a Multi-Disciplinary Economist08:31 How Students Actually Use AI11:24 Redefining Originality in the GPT Era16:21 A Startup That's Betting Against the Wait-and-See Crowd19:30 Inside the Enterprise AI Mess24:22 Jobs Are Systems, Not Widgets28:12 Reviewers, Not Doers: The Software Engineering Shift32:00 Workhelix: Building in the Eye of the Storm38:42 Predictions from the Pragmatist45:26 Careers @ WorkhelixQuotes"I tend to make everyone a little bit upset when I talk about Artificial Intelligence." - Daniel Rock (02:28)"I'm a little skeptical that the entry-level jobs apocalypse is even going to happen. A job is not, like, an easy thing to just take out." - Daniel Rock (00:00)"My friends, Gene Kim and Steve Yegge, call that 'The Potential Closet of Eldritch Horrors.' I do not envy the talent wars that Meta and OpenAI and Anthropic have to fight in." - Daniel Rock (00:00)"You don't get an A if you're correct anymore! You have to be correct AND original! You'll get a B if you're correct." - Daniel Rock (11:56)"AI will pay off your credit card debt on the technical debt side. So if you start racking up a lot of technical debt, that can be okay because AI will wipe it out to some extent later on!" - Daniel Rock (35:06)Follow:Spotify: https://open.spotify.com/show/13UwWOSV1KrJBJgIdt8bJ7Amazon: https://music.amazon.com/podcasts/7e8ec9af-f38c-4cd9-8c68-1c1dd4516b 27/1st10-podcastApple: https://podcasts.apple.com/us/podcast/1st10-podcast/id1760411207 Podcast: https://www.1st10.com/podcast YouTube: https://www.youtube.com/@1st10podcast Links:Daniel Rock’s website: https://www.danielianrock.com Daniel Rock (Operations, Information and Decisions Department, Wharton School, UPenn): https://oid.wharton.upenn.edu/profile/rockdi/Daniel’s startup, Workhelix: https://www.workhelix.com/ Music by Roman Senyk from PixabayProducer: Shrikant Joshi