Circle started as a Bitcoin payments app in 2013. Today it issues USDC, settles dollars across more than sixty countries, and has grown into a financial internet platform. In part one of this conversation, Nikhil Chandhok, Chief Product and Technology Officer at Circle, gets into what the company is becoming, how Circle thinks about new entrants in a market it helped build, why liquidity decides which stablecoin wins, and the road from $77 billion to $150 billion, including the opportunity in markets like India.Part one of three.Chapters: 0:00 Introduction 0:32 Four themes on Nikhil's plate 5:25 What is Circle evolving into? 9:07 OUSD and the competition question 13:50 The road from $77B to $150B 14:12 Why USDT leads in IndiaDisclaimer: The information presented is for educational purposes only. Views expressed are those of the speakers, not necessarily the channel. You are responsible for your own research and decisions.Copyright: © 2024 Aarna AI Pte Ltd, Singapore. All rights reserved.

Wall Street is racing to move 5.5 trillion dollars of assets on-chain, yet the man who wrote Citi's forecast says most of what people want to tokenize will never work. Ronit Ghose sits down with Sri Misra to separate the asset tokenization hype from the few markets that actually belong on a blockchain.Ronit Ghose spent twenty three years as a public markets analyst before taking over Future of Finance at Citi Institute, the bank's in-house research lab, and he wrote the book Future Money. His team's Tokenization 2030 report sees the tokenized securities market growing from roughly 17 billion dollars today to 5.5 trillion by 2030, led by US equities and Treasuries rather than private assets. The contrarian core of this conversation with Sri Misra is that asset tokenization is not alchemy, that putting illiquid things like real estate, venture stakes, or a Picasso on a blockchain does not magically create liquidity, and that bank tokens may quietly out-move stablecoins on volume. With the SpaceX IPO, DTCC pilots, and a European euro stablecoin consortium all landing in 2026, this is a timely map of stablecoins, tokenized US Treasuries, and where institutional DeFi adoption goes next.👉Why Citi projects the tokenized securities market reaching 5.5 trillion dollars by 2030, and why US equities and Treasuries lead while private credit and private equity each stall near 100 billion.👉How the "alchemy versus distribution" idea explains why tokenizing real estate, venture stakes, and collectibles keeps failing while liquid public assets scale.👉What makes tokenized US Treasuries and public equities work on-chain, and why a 50 percent retail shift could pull 2.6 trillion dollars into tokenized stocks.👉Why bank tokens and tokenized deposits could move more annual volume than stablecoins by 2030, even as dollar stablecoins stay close to 98 percent of the market.👉How leapfrogging built M-PESA in Kenya, Alipay in China, and India's UPI long before Wall Street paid attention, and why that geography of innovation still matters.Subscribe to the un# podcast for weekly conversations with the founders and thinkers shaping DeFi, and follow Sri Misra on LinkedIn https://www.linkedin.com/in/srimisra for daily insights.00:00 - Why Finance Keeps Returning To America12:56 - The SpaceX IPO He Cannot Discuss 15:34 - Why Startups Stay Private Longer 21:22 - Can Tokenization Democratize Private Markets 26:01 - Asset Tokenization Is Not Alchemy 29:25 - Tokenization Forecasts From Two To Thirty Trillion 36:35 - Inside Citi's 5.5 Trillion Tokenization Report 43:47 - Stablecoins Versus Bank Tokens Explained #AssetTokenization #Tokenization #Stablecoins #RonitGhose #CitiInstitute #FutureOfFinance #SriMisra #DeFi #Web3 #TokenizedAssets #RWA #TokenizedTreasuries #BankTokens #DigitalAssets #WallStreetOnChain #StablecoinsExplained #TokenizationExplained #InstitutionalDeFi #cryptoregulations Disclaimer: The information presented is for educational purposes only. Views expressed are those of the speakers, not necessarily the channel. You are responsible for your own research and decisions.Copyright: © 2024 Aarna AI Pte Ltd, Singapore. All rights reserved.

Most experts said training a frontier AI model on consumer laptops was impossible, until the numbers started proving them wrong. What that shift means for decentralized AI, on-chain finance, and who ultimately controls intelligence is what Jake Brukhman of CoinFund lays out in this conversation.Jake Brukhman bought his first Bitcoin in 2011, then forgot about it for seven years before founding CoinFund in 2015, one of the first crypto-native investment firms in the world, raised on the back of a thesis written weeks before Ethereum even launched. CoinFund, now a roughly $158M firm, backs the decentralized stack and the teams trying to train large AI models across ordinary gaming PCs and MacBooks instead of billion-dollar data centers, a field that went from impossible to a published research frontier in four years. Across this conversation with host Sri Misra, Brukhman argues that DeFi is now a feature of on-chain finance rather than its replacement, explains why the real bottleneck in AI is GPUs a government can switch off, and makes the case that the average investor will get AI exposure through a token before a stock. It lands the same week a single AI lab was forced to pull its most powerful model offline, making the decentralized AI debate impossible to ignore.👉How decentralized AI training moved from impossible to a real research frontier, with parameter counts climbing run after run

👉Why Jake says there is no DeFi anymore, only on-chain finance, and what that reframe changes for builders

👉What tokenization actually unlocks, from borrowing against your Tesla stock to instant settlement between banks

👉Why the true chokepoint in AI is the supply of high-end GPUs, not algorithms or talent

👉How tokenizing an AI model creates something both valuable and public that no single company can censor or shut down

👉Why a $500M law-firm model budget and a $600B AI infrastructure buildout point to where compute demand is heading next.Subscribe to un# for weekly conversations with crypto and AI builders, and follow Sri Misra on LinkedIn https://www.linkedin.com/in/srimisra/ for daily insights.00:00 - Pioneering One of Crypto's First Funds 03:36 - Finding LPs Before Crypto Was Real 05:58 - Soviet Roots and a Contrarian Bet 11:19 - There Is No DeFi Anymore 18:28 - Network Investing and the Token Question 28:18 - Where Tokenization Actually Solves Problems 33:54 - Stablecoins, the GENIUS Act, On-Chain Finance 37:24 - The Convergence of Web3 and AI 40:43 - When a Government Switches Off AI 42:26 - Training Frontier AI on Gaming PCs 46:40 - Tokenized AI Models You Can Own 55:19 - Agentic Swarms and the Quantum Threat#JakeBrukhman #CoinFund #SriMisra #DecentralizedAI #OnChainFinance #CryptoVC #AITraining #Tokenization #RWA #Web3AI #Stablecoins #CryptoInvesting #HowToOwnAI #TrainAIonGamingPCs #DecentralizedAITraining #Bitcoin #Ethereum #AIandCrypto #tokenizedassets Disclaimer: The information presented is for educational purposes only. Views expressed are those of the speakers, not necessarily the channel. You are responsible for your own research and decisions.Copyright: © 2024 Aarna AI Pte Ltd, Singapore. All rights reserved.