{"@attributes":{"version":"2.0"},"channel":{"title":"Blog","link":"https:\/\/aisot.com\/blog","description":"Latest news and updates from aisot.","language":"en","pubDate":"Mon, 06 Jul 2026 12:55:38 GMT","item":[{"title":"\u201cAI in Investing Is Not What Most People Think It Is.\u201d","link":"https:\/\/aisot.com\/blog\/ai-in-investing-is-not-what-most-people-think-it-is","description":"<div class=\"hs-featured-image-wrapper\"> \n <a href=\"https:\/\/aisot.com\/blog\/ai-in-investing-is-not-what-most-people-think-it-is\" title=\"\" class=\"hs-featured-image-link\"> <img src=\"https:\/\/aisot.com\/hubfs\/stefan%20interview%20Lussy.png\" alt=\"\u201cAI in Investing Is Not What Most People Think It Is.\u201d\" class=\"hs-featured-image\" style=\"width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;\"> <\/a> \n<\/div> \n<p style=\"font-size: 26px;\"><strong><span>When CIOs and portfolio managers talk about AI, they are often picturing a much narrower category of technology than what is actually available to them, and that gap shapes how cautiously the industry has moved. <\/span><\/strong><\/p>","category":["equities","ml","ai","platform","wealth management","AI Insights Platform","asset management","LLM","Time-boxed and fine-tuned Large Language Models"],"pubDate":"Mon, 06 Jul 2026 12:55:38 GMT","guid":"https:\/\/aisot.com\/blog\/ai-in-investing-is-not-what-most-people-think-it-is"},{"title":"AI, Macro, and Climate: Three Perspectives That Belong Together","link":"https:\/\/aisot.com\/blog\/ai-macro-and-climate-three-perspectives-that-belong-together","description":"<div class=\"hs-featured-image-wrapper\"> \n <a href=\"https:\/\/aisot.com\/blog\/ai-macro-and-climate-three-perspectives-that-belong-together\" title=\"\" class=\"hs-featured-image-link\"> <img src=\"https:\/\/aisot.com\/hubfs\/Copy%20of%20Copy%20of%20aisot%20web%20images-3.png\" alt=\"AI, Macro, and Climate: Three Perspectives That Belong Together\" class=\"hs-featured-image\" style=\"width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;\"> <\/a> \n<\/div> \n<p style=\"font-size: 26px;\"><strong>Markets are moving fast, AI is reshaping how investment decisions get made, and climate strategies are being held to a higher standard than ever. At the latest GKB FocusTalk in Zurich, three practitioners shared their perspectives on where professional asset management stands today and where it's heading.<\/strong><\/p>","category":["equities","ml","ai","platform","wealth management","AI Insights Platform","asset management","LLM","Time-boxed and fine-tuned Large Language Models"],"pubDate":"Tue, 23 Jun 2026 05:45:43 GMT","guid":"https:\/\/aisot.com\/blog\/ai-macro-and-climate-three-perspectives-that-belong-together"},{"title":"AI Belongs in Finance \u2014 Just Not LLMs Alone.","link":"https:\/\/aisot.com\/blog\/ai-belongs-in-finance-just-not-llms-alone","description":"<div class=\"hs-featured-image-wrapper\"> \n <a href=\"https:\/\/aisot.com\/blog\/ai-belongs-in-finance-just-not-llms-alone\" title=\"\" class=\"hs-featured-image-link\"> <img src=\"https:\/\/aisot.com\/hubfs\/Copy%20of%20Copy%20of%20aisot%20web%20images-2.png\" alt=\"AI Belongs in Finance \u2014 Just Not LLMs Alone.\" class=\"hs-featured-image\" style=\"width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;\"> <\/a> \n<\/div> \n<p><span style=\"font-size: 26px;\"><strong><span style=\"color: #121212;\">Bloomberg's latest article on autonomous AI traders validates what portfolio managers have known all along: the human-in-the-loop is essential. General-purpose Large Language Models trading autonomously are not the future of investment management. AI built specifically for finance, designed to support investment decisions, is.<\/span><\/strong><\/span><\/p>","category":["equities","ml","ai","platform","wealth management","AI Insights Platform","asset management","LLM","Time-boxed and fine-tuned Large Language Models"],"pubDate":"Fri, 15 May 2026 07:35:43 GMT","guid":"https:\/\/aisot.com\/blog\/ai-belongs-in-finance-just-not-llms-alone"},{"title":"AI-driven portfolio optimization on tracker certificate \u2013 first-year results","link":"https:\/\/aisot.com\/blog\/ai-driven-portfolio-optimization-on-tracker-certificate-first-year-results","description":"<div class=\"hs-featured-image-wrapper\"> \n <a href=\"https:\/\/aisot.com\/blog\/ai-driven-portfolio-optimization-on-tracker-certificate-first-year-results\" title=\"\" class=\"hs-featured-image-link\"> <img src=\"https:\/\/aisot.com\/hubfs\/MTIStudy.png\" alt=\"AI-driven portfolio optimization on tracker certificate \u2013 first-year results\" class=\"hs-featured-image\" style=\"width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;\"> <\/a> \n<\/div> \n<p style=\"font-size: 26px; font-weight: bold;\">One year after inception, the AI-optimized tracker certificate on a Swiss equity basket, launched by Aisot Technologies, recorded a net return of +8.5% after fees. Over the same period, the SPI Total Return benchmark returned 8.0%.<\/p>","category":["equities","ml","ai","platform","wealth management","AI Insights Platform","asset management","LLM","Time-boxed and fine-tuned Large Language Models"],"pubDate":"Thu, 23 Apr 2026 12:27:17 GMT","guid":"https:\/\/aisot.com\/blog\/ai-driven-portfolio-optimization-on-tracker-certificate-first-year-results"},{"title":"Europe's AI moment is here","link":"https:\/\/aisot.com\/blog\/europes-ai-moment-is-here","description":"<div class=\"hs-featured-image-wrapper\"> \n <a href=\"https:\/\/aisot.com\/blog\/europes-ai-moment-is-here\" title=\"\" class=\"hs-featured-image-link\"> <img src=\"https:\/\/aisot.com\/hubfs\/Copy%20of%20Copy%20of%20aisot%20web%20images-1.png\" alt=\"Europe's AI moment is here\" class=\"hs-featured-image\" style=\"width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;\"> <\/a> \n<\/div> \n<p style=\"font-size: 26px;\"><strong><span>The opening of Luxembourg's AI Experience Centre at the LHoFT signals something bigger than an innovation hub: a distinctly European model for trustworthy, practical AI in financial services.<\/span><\/strong><\/p>","category":["equities","ml","ai","platform","wealth management","AI Insights Platform","asset management","LLM","Time-boxed and fine-tuned Large Language Models"],"pubDate":"Mon, 20 Apr 2026 06:27:11 GMT","guid":"https:\/\/aisot.com\/blog\/europes-ai-moment-is-here"},{"title":"Good stock picking is no longer enough","link":"https:\/\/aisot.com\/blog\/good-stock-picking-is-no-longer-enough","description":"<div class=\"hs-featured-image-wrapper\"> \n <a href=\"https:\/\/aisot.com\/blog\/good-stock-picking-is-no-longer-enough\" title=\"\" class=\"hs-featured-image-link\"> <img src=\"https:\/\/aisot.com\/hubfs\/TraderWallStreet.png\" alt=\"Good stock picking is no longer enough\" class=\"hs-featured-image\" style=\"width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;\"> <\/a> \n<\/div> \n<p style=\"font-weight: bold;\"><span style=\"font-size: 26px;\"><strong><span style=\"color: #3d3d3a;\">Active managers today are judged not just on returns, but on the rigor of their process, the clarity of their risk awareness, and their ability to explain every decision. Aisot Technologies builds AI-enabled decision intelligence to support exactly that.<\/span><\/strong><\/span><strong><span style=\"color: #3d3d3a; white-space-collapse: preserve;\"><br><\/span><\/strong><\/p> \n<p style=\"line-height: 1.8;\"><span style=\"color: #141413;\">Active asset management has always been a high-skill discipline. The portfolio managers who succeed bring something no model can replicate: good ideas and the judgment to act on conviction during uncertainty.<\/span><span style=\"color: #141413; white-space-collapse: preserve;\"><br><\/span><span style=\"color: #141413; white-space-collapse: preserve;\"><br><\/span><span style=\"color: #141413;\">And yet the environment has shifted. Passive strategies have taken share, fee compression has tightened the margin for error, and clients are asking sharper questions about process and consistency. The bar has risen, not because portfolio managers have gotten worse, but because the game has gotten harder.<\/span><\/p> \n<h2 style=\"font-size: 20px;\"><strong><span style=\"color: #141413;\">When complexity outpaces process<\/span><\/strong><\/h2> \n<p><span style=\"color: #141413;\">Markets move faster and carry more information than ever. The challenge for most investment teams is no longer access to data or ideas. It is having the infrastructure to act on them: <\/span><\/p> \n<ul> \n <li style=\"color: #141413;\"><span style=\"color: #141413;\">translating conviction into portfolio weights<\/span><\/li> \n <li style=\"color: #141413;\"><span style=\"color: #141413;\">identifying hidden concentrations<\/span><\/li> \n <li style=\"color: #141413;\"><span style=\"color: #141413;\">integrating structured and unstructured information<\/span><\/li> \n <li style=\"color: #141413;\"><span style=\"color: #141413;\">updating views as markets evolve<\/span><\/li> \n <li style=\"color: #141413;\"><span style=\"color: #141413;\">separating intentional risk from risk that has quietly accumulated<\/span><\/li> \n<\/ul> \n<p><span style=\"color: #141413;\">The result, when that infrastructure is missing, is a gap between what a manager believes and what the portfolio actually reflects.<\/span><\/p> \n<h2 style=\"font-size: 20px;\"><strong><span style=\"color: #141413;\">Decision support, not decision replacement<\/span><\/strong><\/h2> \n<p><span style=\"color: #141413;\">At Aisot Technologies, we build AI-enabled portfolio decision intelligence for active investment teams. Our platform is designed to sit alongside the portfolio manager, helping translate fundamental research, forward-looking return expectations, risk considerations, and real-time information signals into coherent, well-constructed portfolio decisions.<\/span><\/p> \n<p><span style=\"color: #141413;\">Our tool offers decision support, not automation. Portfolio managers remain the authors of every decision. What changes is the quality of the infrastructure supporting those decisions: the ability to stress-test sizing, surface hidden exposures, and act on evolving information with speed and consistency.<\/span><\/p> \n<h2 style=\"font-size: 20px;\"><strong><span style=\"color: #141413;\">Understanding what is driving performance and why<\/span><\/strong><\/h2> \n<p><span style=\"color: #141413;\">Portfolio managers know what they own. aisot gives them a clear, real-time picture of why their portfolio is behaving the way it is: which risk exposures are driving returns and which factors are contributing.<\/span><\/p> \n<p><span style=\"color: #141413;\">Every insight the platform generates comes with a plain-language rationale traceable to its underlying drivers, delivered by an AI agent that requires no quant background to use. Relationship and portfolio managers are fully owning the narrative as the portfolio evolves.<\/span><\/p> \n<p><span style=\"color: #141413;\">\"A portfolio manager shouldn't have to dig through a risk report to understand what's driving their performance. We give them that picture in plain language, in real time,\" said Stefan Klauser, Co-Founder and CEO of Aisot Technologies.<\/span><\/p> \n<p><span style=\"color: #141413;\">This matters well beyond daily decision-making. When a manager can speak precisely to what their portfolio is doing and why, every conversation with an investment committee, compliance team, or client becomes easier to navigate.<\/span><\/p> \n<h2 style=\"font-size: 20px;\"><strong><span style=\"color: #141413;\">A more defensible active management<\/span><\/strong><\/h2> \n<p><span style=\"color: #141413;\">As scrutiny of active management has increased, the ability to demonstrate a rigorous, repeatable, and explainable process has become as important as the outcomes that process produces. Clients and allocators increasingly value not just what a manager delivered, but the process and discipline behind it.<\/span><\/p> \n<p><span style=\"color: #141413;\">Better decision infrastructure strengthens that story: coherent portfolio construction processes, clearer risk awareness, next-generation return estimates, real-time performance insight, and a complete audit trail of every decision and the reasoning behind it.<br><\/span><\/p>","category":["equities","ml","ai","platform","wealth management","AI Insights Platform","asset management","LLM","Time-boxed and fine-tuned Large Language Models"],"pubDate":"Thu, 16 Apr 2026 05:29:08 GMT","guid":"https:\/\/aisot.com\/blog\/good-stock-picking-is-no-longer-enough"},{"title":"Why \"Prompt it like Warren Buffett\" is the wrong approach","link":"https:\/\/aisot.com\/blog\/why-prompt-it-like-warren-buffett-is-the-wrong-approach","description":"<div class=\"hs-featured-image-wrapper\"> \n <a href=\"https:\/\/aisot.com\/blog\/why-prompt-it-like-warren-buffett-is-the-wrong-approach\" title=\"\" class=\"hs-featured-image-link\"> <img src=\"https:\/\/aisot.com\/hubfs\/LLM.png\" alt=\"Why &quot;Prompt it like Warren Buffett&quot; is the wrong approach\" class=\"hs-featured-image\" style=\"width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;\"> <\/a> \n<\/div> \n<p style=\"font-weight: bold;\"><span style=\"font-size: 26px;\">There's a trend making the rounds on LinkedIn. Posts with titles like \"How to prompt Claude AI to invest like Warren Buffett\" or \"Use this AI prompt to beat the market.\" They get thousands of likes. But in asset management, using the wrong AI tool isn't just inefficient. It's a liability.<\/span><\/p> \n<p><span>These posts point to a misconception worth addressing. General-purpose Large Language Models (LLMs) like ChatGPT, Claude AI, and Gemini have genuinely transformed how professionals work. They summarize lengthy reports, explain complex financial concepts in plain language, and streamline client communications. For these tasks, they excel.<\/span><\/p> \n<p><span>The problem begins when we ask them to do something they were never designed for.<\/span><\/p> \n<p><strong><span>The limits of general-purpose AI for investing<\/span><\/strong><\/p> \n<p><span>When you ask a general-purpose LLM to analyze a portfolio or evaluate an allocation, it draws on patterns learned from vast amounts of text: news articles, financial reports, forum discussions, and more. It produces answers that sound authoritative. Often, they even sound correct.<\/span><\/p> \n<p><span>But sound is not the same as right.<\/span><\/p> \n<p><span>General-purpose models have no access to verified live market data. They cannot account for your current portfolio positions, risk exposure, or recent macro shifts. And critically, they have no built-in protection against hallucination and look-ahead bias. This is the subtle but devastating error of using future information to validate past decisions, which can make a strategy appear far stronger in backtesting than it ever will be in practice.<\/span><\/p> \n<p><span>In most domains, a confident but slightly wrong answer is a minor inconvenience. In investing, it can be costly.<\/span><\/p> \n<p><span>This is not a criticism of general-purpose AI. It is a recognition of what it was built for. <\/span><\/p> \n<p><strong><span>The right tool for the right job<\/span><\/strong><\/p> \n<p><span>Professional investment analysis requires models built specifically for the financial industry. That is exactly what we set out to build at Aisot Technologies.<\/span><\/p> \n<p><span>Our LLM Eiger is trained exclusively on market signals and strictly limited to information available at the time of each forecast. The result is a model that generates reliable and auditable outputs.<\/span><\/p> \n<p><span>Eiger is developed in three stages:<\/span><\/p> \n<ol> \n <li><strong><span>Pre-training<\/span><\/strong><span> gives the model a deep grounding in financial language: terminology, market context, and company reports. <\/span><\/li> \n <li><strong><span>Sentiment fine-tuning <\/span><\/strong><span>then trains it to classify news as positive, negative, or neutral for a given company or asset class. <\/span><\/li> \n <li><strong><span>Finally, <\/span><\/strong><span>return fine-tuning teaches the model to estimate expected price moves over different horizons directly from news.<\/span><\/li> \n<\/ol> \n<p><span>Eiger's estimated return forecasts are built for flexibility. Hedge funds and quantitative managers can use them as standalone signals, integrating market-moving news directly into their existing models. Or investment teams can access them through the AI Insights Platform, where signals, portfolio data, and analytics work together to help optimize risk-adjusted returns. <\/span><\/p> \n<p>&nbsp;<\/p> \n<p><strong><span><br>Augmented intelligence<\/span><\/strong><\/p> \n<p><span>There is a broader point here that often gets lost in the excitement around AI. The goal of financial AI should not be to replace the judgment of experienced investors. It should be to sharpen it, giving portfolio managers better information, faster analysis, and more rigorous risk assessment, while keeping the human firmly in control.<\/span><\/p> \n<p><span>General-purpose AI, however well-prompted, cannot reliably support that process. It lacks the specialization, the data integrity, and the financial guardrails that professional analysis demands.<\/span><\/p> \n<p><span>Warren Buffett has spent decades developing a framework for evaluating businesses. No prompt replicates that. But the right AI, purpose-built, financially trained, and properly integrated into your workflow, can genuinely augment what experienced investors do best.<\/span><\/p> \n<p><br><br><\/p>","category":["equities","ml","ai","platform","wealth management","AI Insights Platform","asset management","LLM","Time-boxed and fine-tuned Large Language Models"],"pubDate":"Mon, 30 Mar 2026 06:54:41 GMT","guid":"https:\/\/aisot.com\/blog\/why-prompt-it-like-warren-buffett-is-the-wrong-approach"},{"title":"The investment manager's new edge: How AI took centre stage at FINANZ 2026","link":"https:\/\/aisot.com\/blog\/the-investment-managers-new-edge-how-ai-took-centre-stage-at-finanz-2026","description":"<div class=\"hs-featured-image-wrapper\"> \n <a href=\"https:\/\/aisot.com\/blog\/the-investment-managers-new-edge-how-ai-took-centre-stage-at-finanz-2026\" title=\"\" class=\"hs-featured-image-link\"> <img src=\"https:\/\/aisot.com\/hubfs\/FINANZ%2026.png\" alt=\"The Investment Manager's New Edge: How AI Took Centre Stage at FINANZ 2026\" class=\"hs-featured-image\" style=\"width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;\"> <\/a> \n<\/div> \n<p><span style=\"font-size: 26px;\"><strong>This year's financial fair FINANZ at the Kongresshaus Zurich left little doubt about where the financial industry's attention is focused: artificial intelligence is reshaping the investment process, from risk management to portfolio construction to day-to-day decision support.<\/strong><\/span><\/p>","category":["ml","family office","wealth management","AI Insights Platform","asset management","LLM","portfolio","markets","Time-boxed and fine-tuned LLMs"],"pubDate":"Tue, 03 Mar 2026 06:49:50 GMT","guid":"https:\/\/aisot.com\/blog\/the-investment-managers-new-edge-how-ai-took-centre-stage-at-finanz-2026"},{"title":"Agentic AI arrives on aisot's AI Insights Platform","link":"https:\/\/aisot.com\/blog\/agentic-ai-arrives-on-the-aisot-insights-platform","description":"<div class=\"hs-featured-image-wrapper\"> \n <a href=\"https:\/\/aisot.com\/blog\/agentic-ai-arrives-on-the-aisot-insights-platform\" title=\"\" class=\"hs-featured-image-link\"> <img src=\"https:\/\/aisot.com\/hubfs\/aisot%20AI%20Insights%20Platform%20-%20US%20UK%20CH%20markets%20.png\" alt=\"Agentic AI arrives on aisot's AI Insights Platform\" class=\"hs-featured-image\" style=\"width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;\"> <\/a> \n<\/div> \n<p><span style=\"font-size: 26px;\">ZURICH \/ LONDON, 06.02.2026 \u2014 Aisot Technologies, the ETH Zurich spin-off specializing in AI-driven portfolio optimization and risk management, today announced significant enhancements to its AI Insights Platform with the introduction of agentic AI capabilities.<\/span><\/p> \n<div class=\"hs-video-widget\"> \n <div class=\"hs-video-container\" style=\"max-width: 1280px; margin: 0 auto;\"> \n  <div class=\"hs-video-wrapper\" style=\"position: relative; height: 0; padding-bottom: 50.00%\">  \n  <\/div> \n <\/div> \n<\/div> \n<p><span style=\"background-color: transparent; font-size: 1rem;\">At today\u2019s Digital Assets Forum in London, Stefan Klauser, Co-Founder and CEO of Aisot Technologies, unveiled the update. This represents a major step forward in AI-powered decision support for the asset management industry.<\/span><\/p> \n<p><span>The aisot AI Insights Platform now performs autonomous market monitoring, portfolio analysis and optimization, and reporting only when explicitly instructed by the user. All of these tasks are carried out within aisot\u2019s core framework of live decision support and risk awareness, ensuring transparency, oversight, and control. These capabilities help portfolio managers navigate dynamic market conditions with greater confidence and efficiency.<\/span><\/p> \n<p><span>The AI agent explains portfolio insights in plain language, from risk analysis to performance attribution. Complex analyses become accessible through simple questions, making the drivers behind AI-generated insights transparent and easy to understand. This empowers users to make informed decisions while retaining full control.<\/span><\/p> \n<h2 style=\"font-size: 20px;\"><strong><span>Autonomous Analysis with Full Human Control<\/span><\/strong><\/h2> \n<p><span>\u201cAgentic AI handles time-intensive routine tasks autonomously, while portfolio managers retain full decision-making authority,\u201d says Stefan Klauser. \u201cThis is the logical evolution of our approach: AI delivers the analysis, human expertise makes the decisions.\u201d<br><br>Watch Stefan's presentation at the Digital Assets Forum in London <a href=\"https:\/\/www.youtube.com\/watch?v=DufoslH2mis\">here<\/a>.<\/span><\/p> \n<p><br><br><\/p>","category":["equities","ml","ai","platform","wealth management","AI Insights Platform","asset management"],"pubDate":"Tue, 17 Feb 2026 15:25:55 GMT","guid":"https:\/\/aisot.com\/blog\/agentic-ai-arrives-on-the-aisot-insights-platform"},{"title":"WEF: How AI is reshaping institutional investing","link":"https:\/\/aisot.com\/blog\/wef-how-ai-is-reshaping-institutional-investing","description":"<div class=\"hs-featured-image-wrapper\"> \n <a href=\"https:\/\/aisot.com\/blog\/wef-how-ai-is-reshaping-institutional-investing\" title=\"\" class=\"hs-featured-image-link\"> <img src=\"https:\/\/aisot.com\/hubfs\/WEF_AI_House2.png\" alt=\"WEF: How AI is reshaping institutional investing\" class=\"hs-featured-image\" style=\"width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;\"> <\/a> \n<\/div> \n<p><strong><span style=\"color: #000000;\">AI is reshaping how institutional investors work. At a World Economic Forum roundtable in Davos, financial leaders agreed: success won't come from using the latest AI models. It will come from building specialized AI with proper guardrails.<\/span><\/strong><\/p>","category":["ml","family office","wealth management","AI Insights Platform","asset management","LLM","portfolio","markets","Time-boxed and fine-tuned LLMs"],"pubDate":"Tue, 27 Jan 2026 10:33:12 GMT","guid":"https:\/\/aisot.com\/blog\/wef-how-ai-is-reshaping-institutional-investing"}]}}