VC10X brings you inside the minds of top venture capitalists, investors, fund managers, and family offices shaping the future of global investing. Each episode dives deep into proven investment strategies, portfolio construction, due diligence, valuations, risk management, exits, and wealth creation frameworks used by leading experts.Whether you’re an investor, founder, or finance enthusiast, you’ll gain rare insights into how capital is deployed, returns are generated, and long-term value is built.Hosted by Prashant Choubey
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What is VC10X - Investing, Venture Capital, Asset Management, Family Office, Wealth Management?
VC10X - Investing, Venture Capital, Asset Management, Family Office, Wealth Management is a business podcast hosted by Prashant Choubey, with 318 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.
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Prashant Choubey hosts VC10X - Investing, Venture Capital, Asset Management, Family Office, Wealth Management, a business show with 318 episodes published.
VC10X Pulse - Etched Just Doubled Its Valuation to $21B in 1 Month — Here's What They're Building
Aug 20, 20267 min
Etched just raised another $700 million at a $21 billion valuation, nearly doubling its valuation from around $10.3 billion in less than a month. But the headline valuation isn't the most interesting part. Etched is building specialized AI chips and inference systems designed to challenge the economics of Nvidia for one of the fastest-growing parts of AI compute: inference. And one of the most notable investors and customers is Jane Street. In this episode, we break down what Etched is actually building, why inference could become an enormous AI compute market, and whether a $21B valuation can be justified. ⭐ Sponsored by Podcast10x - Podcasting agency for VCs - https://podcast10x.com Key topics we explore: – What Etched is actually building and why it is focused on AI inference – Why specialized ASICs could compete with general-purpose GPUs – How Etched's approach differs from Nvidia's GPU strategy – Why Jane Street is both an investor and early customer – Why Etched's valuation jumped from ~$10B to $21B in less than a month – The opportunity and risks in the rapidly growing inference market – Why specialized AI hardware could become increasingly important as AI workloads scale – Whether Etched can become a meaningful Nvidia competiton—or carve out a specialized market of its own The bigger question: As AI inference becomes a larger share of global compute, will specialized chips challenge Nvidia's dominance? For investors, the story isn't simply Nvidia vs. AMD anymore. The AI hardware ecosystem is becoming increasingly specialized—and the companies that can deliver more intelligence per dollar, per watt, and per second could capture enormous value. LINKS Prashant Choubey - https://www.linkedin.com/in/choubeysahab Subscribe to VC10X newsletter - https://vc10x.beehiiv.com Subscribe on YouTube - https://youtube.com/@VC10X Subscribe on Apple Podcasts - https://podcasts.apple.com/us/podcast/vc10x-investing-venture-capital-asset-management-private/id1632806986 Subscribe on Spotify - https://open.spotify.com/show/7F7KEhXNhTx1bKTBFgzv3k?si=WgQ4ozMiQJ-6nowj6wBgqQ VC10X website - https://vc10x.com For sponsorship queries reach out to prashantchoubey3@gmail.com This channel is for asset managers, allocators, and investors who want analysis that holds up—not headlines dressed as insight. Subscribe for weekly data-driven breakdowns of the forces reshaping capital markets. #Etched #AI #ArtificialIntelligence #AIChips #Inference #Nvidia #Semiconductors #JaneStreet #AIInfrastructure #ASIC #GPUs #TechStocks #Investing #VC10X #VentureCapital #Datacenters #MachineLearning #SiliconValley #Finance #Markets
VC10X - 900 Fund Ones Raised in 2021/22. Only 200 Made It to Fund Two - Matt Curtolo, Advisor to LPs & GPs
Aug 18, 202638 min
Matt Curtolo is an independent advisor to LPs & GPs with over twenty years on the LP side of private markets, across Hamilton Lane, Hirtle Callaghan, MetLife, and Allocate. He now works directly with fund managers on strategy, fundraising, and positioning, giving them the candid LP read most of them never get. This is his third appearance on VC10X. ⭐ Sponsored by Podcast10x - Podcasting agency for VCs - https://podcast10x.com Topics covered: - Why 2021 is the wrong baseline, and what the fund one attrition data actually shows - Why "we invest in AI" has stopped being a thesis, and where Matt is looking instead - How LP incentives, economic and non-economic, decide whether you ever get a check - The biggest mistake GPs make when telling their fund story - Why Matt thinks LPs who refuse to back fund ones are misunderstanding risk Connect with Matt Curtolo: LinkedIn: https://www.linkedin.com/in/matt-curtolo-caia/ Connect with Prashant Choubey: LinkedIn: https://linkedin.com/in/choubeysahab Subscribe to VC10X newsletter - https://vc10x.beehiiv.com Subscribe on YouTube - https://youtube.com/@VC10X Subscribe on Apple Podcasts - https://podcasts.apple.com/us/podcast/vc10x-investing-venture-capital-asset-management-private/id1632806986 Subscribe on Spotify - https://open.spotify.com/show/7F7KEhXNhTx1bKTBFgzv3k?si=WgQ4ozMiQJ-6nowj6wBgqQ VC10X website - https://vc10x.com Timestamps: (00:00) - Preview (00:52) - Introduction to the host, guest, and the episode's central theme. (01:23) - Sponsor read for Podcast NX. (02:26) - Comparing the 2021 LP market to today's. (04:52) - Investment trends and opportunities outside of AI. (08:55) - How General Partners (GPs) are positioning themselves for fundraising. (11:18) - Understanding Limited Partner (LP) incentives and their impact on investment decisions. (14:40) - Key factors for securing a second meeting with LPs. (17:15) - The biggest mistake GPs make when telling their fund's story. (19:32) - How LPs evaluate first-time fund managers today. (22:21) - The impact of SPVs and the "deal-first" mentality on portfolio building. (27:23) - Principles of good portfolio construction for long-term LPs. (30:46) - What separates durable franchises from one-fund wonders. (33:08) - A hypothetical fundraising strategy for launching a new fund today. (35:48) - Start of the rapid-fire round. (36:00) - An important LP question every GP should be prepared for. (36:19) - An exciting investment theme outside of AI. (36:31) - Outdated fundraising advice to ignore. (36:53) - A prediction for the GP fundraising market in the next three years. (37:19) - Concluding thoughts.
VC10X Pulse - Nvidia's $500B AI Financing Plan: What Does It Really Mean?
Aug 13, 20267 min
Nvidia just announced partnerships with some of the world's biggest financial institutions to mobilize more than $500 billion of capital for AI infrastructure. But there's an important distinction: Nvidia isn't investing $500 billion. The initiative is about bringing institutional capital into the financing of AI data centers, compute infrastructure, and related projects. In this episode, we break down what Nvidia's financing strategy really means—and why it could be one of the most important developments yet in the next phase of the AI buildout. ⭐ Sponsored by Podcast10x - Podcasting agency for VCs - https://podcast10x.com Key topics we explore: – What Nvidia's $500B financing initiative actually involves – Why Nvidia wants institutional investors to finance AI infrastructure – How compute could increasingly become an investable infrastructure asset – Why this could accelerate AI data center and GPU deployment – The potential beneficiaries across Nvidia, data centers, power, and networking – The risks if AI demand or GPU utilization doesn't meet expectations – Whether this creates a potentially circular financing ecosystem around AI – Why Wall Street is becoming an increasingly important participant in the AI buildout The bigger question: Are we simply finding new ways to finance the AI infrastructure boom—or are we watching the emergence of an entirely new institutional asset class? For investors, the answer matters. The next constraint on AI may not be GPUs or power—it may be the enormous amount of capital required to build everything around them. LINKS Prashant Choubey - https://www.linkedin.com/in/choubeysahab Subscribe to VC10X newsletter - https://vc10x.beehiiv.com Subscribe on YouTube - https://youtube.com/@VC10X Subscribe on Apple Podcasts - https://podcasts.apple.com/us/podcast/vc10x-investing-venture-capital-asset-management-private/id1632806986 Subscribe on Spotify - https://open.spotify.com/show/7F7KEhXNhTx1bKTBFgzv3k?si=WgQ4ozMiQJ-6nowj6wBgqQ VC10X website - https://vc10x.com For sponsorship queries reach out to prashantchoubey3@gmail.com This channel is for asset managers, allocators, and investors who want analysis that holds up—not headlines dressed as insight. Subscribe for weekly data-driven breakdowns of the forces reshaping capital markets. #Nvidia #AI #ArtificialIntelligence #AIInfrastructure #DataCenters #GPUs #Investing #TechStocks #VC10X #BlackRock #Apollo #Blackstone #GoldmanSachs #KKR #AIInvesting #Semiconductors #CloudComputing #CapitalMarkets #Finance #WallStreet
VC10X Pulse - Nvidia v/s AMD: Who is winning the semiconductor race?
Aug 6, 20263 min
This week, one tweet from Elon Musk reignited one of the biggest debates in AI investing. After AMD reported strong earnings, Musk posted that SpaceX has committed to using Nvidia GPUs exclusively because they are the best. At the same time, xAI continues to deploy both Nvidia and AMD GPUs—raising an important question for investors. Is Nvidia's lead in AI becoming even stronger, or is the AI infrastructure market simply becoming large enough for multiple winners? In this episode, we break down what AMD's earnings and Musk's comments tell us about the competitive landscape in AI chips. ⭐ Sponsored by Podcast10x - Podcasting agency for VCs - https://podcast10x.com Key topics we explore: – What AMD's latest earnings reveal about AI accelerator demand – Why Elon Musk said SpaceX will exclusively use Nvidia GPUs – Why xAI is taking a different approach by deploying both Nvidia and AMD – Nvidia's competitive moat beyond hardware: CUDA, networking, and software – Whether AMD needs to beat Nvidia—or simply capture a growing share of the AI market – What this means for the broader AI infrastructure investment thesis The bigger question: Is the AI accelerator market a winner-takes-all industry, or will explosive AI demand create room for multiple winners? For investors, understanding where Nvidia's moat remains strongest—and where AMD is making meaningful progress—is key to evaluating the next phase of the AI infrastructure buildout. LINKS Prashant Choubey - https://www.linkedin.com/in/choubeysahab Subscribe to VC10X newsletter - https://vc10x.beehiiv.com Subscribe on YouTube - https://youtube.com/@VC10X Subscribe on Apple Podcasts - https://podcasts.apple.com/us/podcast/vc10x-investing-venture-capital-asset-management-private/id1632806986 Subscribe on Spotify - https://open.spotify.com/show/7F7KEhXNhTx1bKTBFgzv3k?si=WgQ4ozMiQJ-6nowj6wBgqQ VC10X website - https://vc10x.com For sponsorship queries reach out to prashantchoubey3@gmail.com This channel is for asset managers, allocators, and investors who want analysis that holds up—not headlines dressed as insight. Subscribe for weekly data-driven breakdowns of the forces reshaping capital markets. #Nvidia #AMD #AI #ArtificialIntelligence #GPUs #ElonMusk #SpaceX #xAI #Semiconductors #TechStocks #Investing #VC10X #DataCenters #CUDA #WallStreet #Finance #ChipStocks #AIInfrastructure #Markets #Earnings
VC10X - Why the Labs Suddenly Love Open Weights - David Epstein, GP, USF Ventures
Aug 4, 202653 min
David Epstein is General Partner at USF Ventures, the venture fund backing companies connected to the University of San Francisco. He was previously a General Partner at Crosslink Capital and has held management and CEO roles at more than half a dozen startups. He also teaches entrepreneurship and finance, and began his career at Data General as a computer designer, on the project chronicled in Tracy Kidder's Pulitzer Prize winning The Soul of a New Machine. In this episode, Dave argues that the real AI bottleneck isn't chips, power, or capital. It's data. We get into why frontier labs backing open weight models is a defensive move rather than a principled one, where early stage startups can still win, and why he thinks jobs will disappear faster than they get created. ⭐This episode is brought to you by Podcast10x. We help founders and investors turn one podcast episode into a full month of content. Strategy, production, and distribution handled end to end. Learn more at https://podcast10x.com What we cover: → Why "AI company" is no longer a category, and the pitch deck claim that has become his pet peeve → Why AI isn't a tool anymore, and what makes this cycle different from the dot com era → The real bottleneck: why we've exhausted the internet's data and what comes next → Money as the constraint nobody prices in, and the circularity in the current data center build out → How Chinese open weight models pull revenue out of token charges and subscriptions → Why big lab support for open models is defensive positioning → Who survives if open weights take share, and why consolidation is coming → Where early stage startups can still win: drug discovery, financial services, legal → Why the likely exit is a sale, not an IPO → Ethical investing as a return rather than a tax, and why it's tough to work with jerks → Why self-regulation rarely works, and what 2008 tells us about the current AI alliance → Why layoffs are just the beginning, and the Industrial Revolution parallel everyone forgets → Where the jobs actually are: management, human facing care, and the trades → What top tier VCs get right, and why VCs are also lemmings → Quantum computing as a data center accelerator, and the password problem it creates → Physics AI vs physical AI, and the validation problem sitting on top of both → Five year predictions: AGI, commonplace robots, and why consciousness doesn't matter Connect with Dave Epstein: LinkedIn: https://www.linkedin.com/in/thedavee/ USF Ventures: https://usfventures.com Connect with Prashant Choubey: LinkedIn: https://linkedin.com/in/choubeysahab Subscribe to VC10X newsletter - https://vc10x.beehiiv.com VC10X website - https://vc10x.com Timestamps: (00:00) - Preview (00:56) - Introduction to David Epstein and the Episode's Topics (02:48) - How the AI Startup Landscape Has Fundamentally Changed (05:08) - Comparing the Current AI Boom to the Internet Boom (06:25) - Identifying the Next AI Bottleneck: Chips, Power, or Data? (09:30) - Why Money is an Overlooked Bottleneck for AI Development (11:14) - The Cyclical Nature of AI Investments and Financing (12:46) - Analyzing Big Tech's Support for Open Source Models (15:12) - Winners and Losers: Open Source vs. Frontier Models (18:01) - How Early-Stage Startups Can Compete and Win in the AI Space (20:53) - The Role of Ethics in AI Investment Decisions (23:31) - The Challenge of Upholding Ethics in a Competitive Market (26:21) - Implications of the OpenAI Model Escaping (29:46) - The Future of AI-Driven Job Disruption (32:46) - Where to Find Employment Opportunities in the AI World (37:43) - How Top-Tier VCs Evaluate Founders and Make Decisions (40:21) - The Most Exciting Emerging Areas of Innovation (43:18) - Explaining Quantum Computing's Potential and Impact (48:39) - An Ambitious AI Prediction for the Next 5 Years (51:35) - Rapid Fire Round: USF Ventures' Investment Strategy (53:06) - Conclusion
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