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𝐁𝐑𝐄𝐀𝐊𝐈𝐍𝐆: 𝐖𝐡𝐚𝐭 𝐢𝐟 𝐈 𝐭𝐨𝐥𝐝 𝐲𝐨𝐮 𝐭𝐡𝐞 𝐰𝐨𝐫𝐥𝐝’𝐬 𝐭𝐨𝐩 𝐂𝐈𝐎𝐬 𝐝𝐨𝐧’𝐭 𝐫𝐞𝐥𝐲 𝐨𝐧 𝐬𝐩𝐫𝐞𝐚𝐝𝐬𝐡𝐞𝐞𝐭𝐬 𝐭𝐨 𝐦𝐚𝐤𝐞 𝐛𝐢𝐥𝐥𝐢𝐨𝐧-𝐝𝐨𝐥𝐥𝐚𝐫 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬? 👀 That’s what I learned when I sat down with Goldman Sachs’ former Global Head of Portfolio Strategy. Julia Rees Toader, CFA Toader spent a decade advising sovereign wealth funds, pensions, and family offices across the globe. What she revealed flipped my view of risk — and diversification — on its head. “𝑁𝑜𝑏𝑜𝑑𝑦 𝑔𝑜𝑡 𝑟𝑖𝑐ℎ 𝑏𝑦 𝑏𝑒𝑖𝑛𝑔 𝑑𝑖𝑣𝑒𝑟𝑠𝑖𝑓𝑖𝑒𝑑. 𝑇ℎ𝑒𝑦 𝑔𝑜𝑡 𝑟𝑖𝑐ℎ 𝑏𝑦 𝑡𝑎𝑘𝑖𝑛𝑔 𝑜𝑛𝑒 𝑟𝑖𝑠𝑘 𝑎𝑛𝑑 𝑏𝑎𝑛𝑔𝑖𝑛𝑔 𝑎𝑤𝑎𝑦 𝑎𝑡 𝑖𝑡 𝑓𝑜𝑟 𝑑𝑒𝑐𝑎𝑑𝑒𝑠.” In this episode, Julia shares how the best CIOs balance data with intuition, and why the most elite portfolios are built around idiosyncratic conviction — not spreadsheet perfection. We also went deep on: - The psychology of risk (and why your amygdala ruins good decisions) - How to use options-based hedging instead of 60/40 portfolios - The difference between wealth creation and wealth preservation - How AI is reshaping family-office investing #GoldmanSachs #Investing #CIO #PortfolioConstruction #HowIInvest Link to Podcast in Comments Below 👇

𝐁𝐑𝐄𝐀𝐊𝐈𝐍𝐆: 𝐖𝐡𝐚𝐭 𝐢𝐟 𝐭𝐡𝐞 𝐫𝐞𝐚𝐥 𝐀𝐈 𝐝𝐢𝐬𝐫𝐮𝐩𝐭𝐢𝐨𝐧 𝐢𝐧 𝐟𝐢𝐧𝐚𝐧𝐜𝐞 𝐢𝐬𝐧’𝐭 𝐜𝐨𝐬𝐭-𝐜𝐮𝐭𝐭𝐢𝐧𝐠… 𝐛𝐮𝐭 𝐬𝐨𝐦𝐞𝐭𝐡𝐢𝐧𝐠 𝐟𝐚𝐫 𝐛𝐢𝐠𝐠𝐞𝐫? (I wasn’t prepared for Steve’s answer.) I just sat down with Steve McLaughlin, founder of Financial Technology Partners / FT Partners — one of the most effective bankers in the world — and this might be one of the most important conversations I’ve had on the future of finance. A few highlights that genuinely surprised me: 𝐀𝐈 𝐰𝐨𝐧’𝐭 𝐣𝐮𝐬𝐭 𝐬𝐭𝐫𝐞𝐚𝐦𝐥𝐢𝐧𝐞 𝐝𝐢𝐥𝐢𝐠𝐞𝐧𝐜𝐞 — 𝐢𝐭 𝐰𝐢𝐥𝐥 𝐫𝐞𝐝𝐨 𝐭𝐡𝐞 𝐞𝐧𝐭𝐢𝐫𝐞 𝐌&𝐀 𝐩𝐫𝐨𝐜𝐞𝐬𝐬. Steve explains how future deal teams will have hundreds of AI agents combing through data rooms in minutes. This changes who wins — and by how much. 𝐅𝐢𝐧𝐭𝐞𝐜𝐡 𝐢𝐬 𝐨𝐧𝐥𝐲 ~𝟐% 𝐨𝐟 𝐭𝐡𝐞 𝐰𝐚𝐲 𝐢𝐧𝐭𝐨 𝐟𝐮𝐥𝐥 𝐝𝐢𝐠𝐢𝐭𝐢𝐳𝐚𝐭𝐢𝐨𝐧. If you think we’re “late,” you’re early. The biggest opportunities may not even exist yet. 𝐓𝐨𝐤𝐞𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐢𝐬 𝐠𝐨𝐢𝐧𝐠 𝐭𝐨 𝐛𝐞 𝐛𝐢𝐠𝐠𝐞𝐫 𝐭𝐡𝐚𝐧 𝐦𝐨𝐬𝐭 𝐩𝐞𝐨𝐩𝐥𝐞 𝐫𝐞𝐚𝐥𝐢𝐳𝐞. Stablecoins, digital assets, global rails — Steve believes this shift will mint the next trillion-dollar giants. 𝐓𝐡𝐞 𝐧𝐞𝐰 𝐝𝐞𝐟𝐞𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐲 = 𝐀𝐈 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐚𝐜𝐫𝐨𝐬𝐬 𝐞𝐯𝐞𝐫𝐲 𝐟𝐮𝐧𝐜𝐭𝐢𝐨𝐧. Not optional. Not hype. A strategic requirement. The firms that hesitate will get erased. 𝐆𝐥𝐨𝐛𝐚𝐥 𝐛𝐮𝐲𝐞𝐫𝐬 𝐰𝐢𝐥𝐥 𝐫𝐞𝐬𝐡𝐚𝐩𝐞 𝐩𝐫𝐢𝐯𝐚𝐭𝐞 𝐦𝐚𝐫𝐤𝐞𝐭𝐬. With AI + better data, any company could sell to any buyer, on any continent. The competitive landscape is about to flatten dramatically. Steve built FT Partners from a $99 incorporation and a used laptop into a global fintech powerhouse — and his insights into what comes next were jaw-dropping. If you care about fintech, dealmaking, or the future of global finance, this episode is a must-listen. Special shoutout to Chaz Englander of Model ML, who is discussed in the episode. #Fintech #ArtificialIntelligence #Investing #FutureOfFinance #Dealmaking Link to Podcast in Comments Below 👇

BREAKING: Why do 95% of venture funds fail LP diligence? 🤔 I’m joined by Alex Edelson to break this down — and his perspective on founder trust and behavioral pattern recognition is something every GP needs to hear. Most GPs think it’s about performance. It’s not. 👇 Keep reading 👇 When an LP screens a fund, they’re not just checking IRR or track record. They’re running pattern recognition on founder behavior. They’re asking: “Would this GP still win access to the best founders if no one knew their name?” The truth? 95% of funds never make it past this stage — not because they’re bad investors, but because they can’t prove repeatability. The top LPs don’t rely on data rooms. They rely on reference calls that reveal behavior under pressure. Those calls — not your deck — decide your fund’s fate. The best emerging managers know this. They build relationships that pre-sell trust before diligence even starts. They anti-sell. They tell LPs exactly who shouldn’t invest — and that’s why they win. venture” pattern recognition. #VentureCapital #PrivateMarkets #Investing #LPs #HowIInvest Link to Podcast in Comments Below 👇

BREAKING: Wall Street is getting this completely wrong. Daniel Ives says the biggest AI opportunity isn’t even on their radar. 👀 When I asked him why, he didn’t hesitate: “Wall Street is still looking at AI through a 1990s spreadsheet.” He believes the real growth is hiding in plain sight — the infrastructure, data layers, and autonomous systems powering the AI revolution. And here’s the part that stopped me: “We’re in the biggest tech shift in 50 years… and most investors haven’t priced in the first inning.” This episode is a masterclass on: - Spotting what’s not in the spreadsheets - How conviction beats consensus - Why AI is still wildly undervalued #AI #Investing #HowIInvest #WallStreet #Innovation #DanIves Link to Podcast in Comments Below 👇

BREAKING: GP Stakes are no longer a niche experiment. They’re becoming one of the most important institutional allocations in private markets. 👇 What began as a handful of transactions among specialist investors has matured into a $100 billion + market touching every corner of private equity, credit, and real assets. A topic I recently unpacked with Mark Wade, CAIA, Partner at CAZ Investments — and it’s clear why the world’s largest allocators are paying attention: - Contractual cash flows. Recurring management-fee and carry participation create predictable income streams that resemble infrastructure-style yield. - Stronger alignment. By owning part of the GP, investors share in long-term enterprise growth — not just fund-level outcomes. - Evolving liquidity models. Tender-offer programs and structured secondaries are bringing optionality to an asset class once known only for lockups. - Diversified exposure. Owning stakes across multiple GPs provides access to varied vintages, strategies, and geographies. The institutionalization of GP Stakes represents a quiet but profound shift — from investing in funds to investing in the firms that build them. #GPStakes #PrivateMarkets #InstitutionalInvesting #AlternativeAssets #HowIInvest Link to Podcast in Comments Below 👇

BREAKING: Most LPs think their only option for liquidity is selling their position. But what if you could borrow instead of sell? That’s exactly what Alex S. and his team at LiquidLP are building — NAV-based lending that lets investors unlock capital without losing their upside. Think: • 20–40% LTV against top funds like Sequoia or Andreessen • High-single to low-teens rates depending on portfolio quality • Weeks (not months) from application to funding • Fully bespoke terms for family offices, GPs, and smaller institutions It’s the next evolution of secondaries — discreet, efficient, and aligned with conviction-driven investors. We broke down: - When a NAV loan beats a secondary - How to diligence illiquid portfolios fast - Why purpose of funds matters more than people think - The “standby liquidity” model reshaping fundraising #PrivateMarkets #Liquidity #AlternativeInvesting #HowIInvest #Secondaries Link to Podcast in Comments Below 👇