OpenAI recruits investment bankers to train AI on finance tasks

Finance is the next frontier for AI and OpenAI knows it. The company just launched Project Mercury, quietly hiring 100+ former investment bankers at $150/hour to train AI models that can automate restructuring, IPO prep, and financial modeling. Let that sink in, the same analysts who built the models are now teaching the models. This marks a huge shift: AI isn’t just replacing spreadsheet work, it’s learning from the experts to replicate judgment, reasoning, and deal flow management. If successful, this could completely reshape how finance firms scale, price deals, and even hire talent. The real question, what happens when the “entry-level grind” that built Wall Street’s best talent no longer exists? #AI #Finance #OpenAI #Automation #FutureOfWork #Fintech #ArtificialIntelligence #InvestmentBanking

OpenAI hires Wall Street bankers to train AI in financial models https://buff.ly/CFD2Ewp OpenAI has enlisted the expertise of Wall Street bankers to enhance its AI's capabilities in financial modeling. This strategic move aims to bolster the AI's proficiency in handling complex financial data and predictive analytics, crucial for navigating volatile markets. By integrating insights from seasoned finance professionals, OpenAI seeks to refine its algorithms for better accuracy and reliability. This collaboration highlights the growing intersection between advanced technology and finance sectors, emphasizing the importance of AI in modern financial strategies. #FinanceAI #Fintech

OpenAI hires Wall Street bankers to train AI in financial models https://buff.ly/CFD2Ewp OpenAI has enlisted the expertise of Wall Street bankers to enhance its AI's capabilities in financial modeling. This strategic move aims to bolster the AI's proficiency in handling complex financial data and predictive analytics, crucial for navigating volatile markets. By integrating insights from seasoned finance professionals, OpenAI seeks to refine its algorithms for better accuracy and reliability. This collaboration highlights the growing intersection between advanced technology and finance sectors, emphasizing the importance of AI in modern financial strategies. #FinanceAI #Fintech

🚨 Wall Street analysts are training the AI that may replace them — and getting paid $150/hour to do it. It’s called Project Mercury, and it’s real. Over 100 former analysts from Goldman, JPMorgan, Evercore, Brookfield and KKR are now: 📊 Building financial models in Excel 🧠 Annotating every step in plain English 🤖 Feeding that logic to OpenAI’s model This isn’t about AI writing emails. It’s about training it to think like a banker — to update assumptions, run sensitivities, even build pitch decks… all from a simple prompt. But here’s the kicker… 🧩 The same analysts who once pulled all-nighters are now training the tech that may render that grind obsolete. So what should you do? 💥 Learn to prompt like a pro 💥 Train your strategic brain — not just your formatting skills 💥 Make AI your edge, not your replacement The future of investment banking won’t be about who can model faster. It’ll be about who can think better, communicate clearly, and use AI to solve bigger problems. 👉 Would you train the AI that might one day do your job? #InvestmentBanking #AI #OpenAI #ProjectMercury #Finance #Leadership #IBLeadersClub #FutureOfWork

Forward-deployed engineers (FDE) are having a moment. As the FT puts it, it’s “the new hot job in AI”: people who sit with customers, ship working demos fast, and turn fuzzy ideas into real impact. Or, in Cat de Jong’s words (Anthropic): “A Fortune 500 bank has completely different needs than a start-up building an AI-native product.” From what I see in Switzerland—especially in the financial industry—this resonates: less fancy AI use cases on paper, more production-ready value that respects data privacy. What I like about the role: - Bridges product and the real world — tangible outcomes, not slideware. - Demands business know-how, strong instincts, and time with users — not just models. - Shortens the path from pilot to production — with privacy-by-design and clear ops handover. If you’re building with AI, FDEs are often the difference between a clever experiment and results the business actually feels. Do you see that shift happening in your industry—or does it still feel like a rebrand of old ideas? Source in comments 👇 #AI #GenAI #ForwardDeployedEngineers #Switzerland #FinancialServices #AIinBanking #DataPrivacy #TimeToProduction

🚨 AI is learning to build financial models, so what happens to the humans who used to learn by doing it? OpenAI has reportedly hired 150 former investment bankers from top firms like JPMorgan, Goldman Sachs, and KKR to train its AI (via Project Mercury) in the art of financial modeling,!from IPOs to LBOs and restructurings. These models, once the rite of passage for junior analysts working 80-100 hour weeks, are now being taught to machines at $150/hour. The goal? Automate deep professional work and reshape how industries like finance operate. But this raises a major question: 🔍 If AI takes over financial modeling, how will junior bankers learn the foundational skills that define the early years in investment banking? Financial modeling isn’t just grunt work, it’s where many learn judgment, assumptions, market context, and deal logic. If that experience is automated away, where will the next generation of dealmakers, strategists, and investors be trained? Couple this with the rise of robo-advisory platforms and algorithmic decision-making in asset management… and you have to ask: 💭 Are we witnessing the slow death of traditional investment banking and asset management as we know it? Or will a new skillset emerge — one where domain knowledge meets AI fluency? Either way, change isn’t coming. It’s here. #AI #Finance #InvestmentBanking #OpenAI #ProjectMercury #AssetManagement #FinTech #FutureOfWork

𝗧𝗵𝗲 𝗻𝗲𝘅𝘁 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗱𝗲𝗮𝗹𝗺𝗮𝗸𝗲𝗿𝘀 𝘄𝗼𝗻’𝘁 𝗹𝗶𝘃𝗲 𝗶𝗻 𝗘𝘅𝗰𝗲𝗹. OpenAI enlisted over 100 former bankers to train its models on how to build financial models for M&A transactions, IPOs, LBOs, etc. A lot of people will read that and think: “AI is coming for our jobs.” I think it’s the opposite. This is one of the best things that could happen to finance. For decades, juniors have been buried in Excel, learning precision, but not judgment. AI can finally take on that process work and free people to focus on insight, creativity, and relationships. At Maywood, we’re building systems that evolve as the underlying models evolve. Each new model update compounds the value we can deliver to deal teams. AI won’t make banking, private equity, or corporate development smaller. It’ll make them sharper: faster work, cleaner models, better decisions.

AI is quietly rewriting the rules of finance. Not long ago, finance teams spent most of their time entering numbers, reconciling data, and creating reports. Today, with AI and Machine Learning, the focus is shifting — from data input to insight generation. Here’s what’s changing: Automation is cutting hours of manual processing. Predictive analytics is replacing “gut feeling” with data-driven foresight. AI-driven risk management is identifying anomalies before they become losses. Chatbots & virtual assistants are redefining client interactions. This isn’t just about efficiency — it’s about elevating the finance role from reactive to strategic. Finance professionals who learn to interpret and apply AI-driven insights will be the ones driving the next wave of growth. So, the real question is: Are we adapting fast enough to make AI our advantage, or will we let it outpace us? Would love to hear your thoughts, how do you see AI reshaping the future of finance in your organization or career path? #Finance #AI #MachineLearning #FinTech #Innovation #FinancialTransformation #DataDrivenFinance #economics

OpenAI has hired more than 100 former investment bankers to help train its AI to build financial models, according to Bloomberg.

AI is officially coming for your spreadsheets. 📊 And it's not just about simple formulas anymore. Anthropic just launched Claude for Financial Services, and it's a game-changer for anyone who lives in Excel. Finance professionals spend countless hours on manual tasks: → Building models from scratch. → Pulling real-time market data. → Generating coverage reports. This is where AI is moving from hype to actual utility. Claude can now plug directly into Excel to: → Build a discounted cash flow (DCF) model for you. → Connect to live data from LSEG, Moody's, and S&P. → Analyze entire data rooms for due diligence. It's not a general-purpose assistant. It's a specialist with built-in professional skills. And the performance is serious. Claude ranked #1 on the Vals AI Financial Agent Benchmark, proving its ability to handle complex financial reasoning. This isn't about replacing analysts. It's about augmenting them. It's about letting AI handle the repetitive work so humans can focus on strategy, client relationships, and the critical thinking that machines can't replicate. 🚀 What's one financial task you wish AI could automate for you? #Finance #AI #FinTech #FutureOfWork