{"id":8165,"date":"2026-06-29T20:39:00","date_gmt":"2026-06-29T12:39:00","guid":{"rendered":"https:\/\/moresourcing.com\/transforming-investing-with-ai-at-franklin-templeton\/"},"modified":"2026-06-29T20:39:00","modified_gmt":"2026-06-29T12:39:00","slug":"transforming-investing-with-ai-at-franklin-templeton","status":"publish","type":"post","link":"https:\/\/moresourcing.com\/en\/transforming-investing-with-ai-at-franklin-templeton\/","title":{"rendered":"Transforming Investing With AI at Franklin Templeton"},"content":{"rendered":"<p><\/p>\n<div>\n<div class=\"article-left-col\">\n<section class=\"article-topics\">\n<h4 class=\"article-topics__title\">Topics<\/h4>\n<\/section>\n<section class=\"article-section\">\n<h4 class=\"article-section__title\">AI in Action<\/h4>\n<p>\n            This column series looks at the biggest data and analytics challenges facing modern companies and dives deep into successful use cases that can help other organizations accelerate their AI progress.        <\/p>\n<p>        <a href=\"https:\/\/sloanreview.mit.edu\/series\/ai-in-action\/\" class=\"article-section__link\"><\/p>\n<p>           More in this series<br \/>\n                      <\/a><\/p>\n<\/section><\/div>\n<aside class=\"article-ad ad-300  ad-300x250 ad-desktop\">\n<\/aside>\n<aside class=\"article-ad ad-300  ad-300x250 ad-mobile\">\n<\/aside>\n<figure class=\"article-inline\">\n<img fetchpriority=\"high\" fetchpriority=\"high\" decoding=\"async\" width=\"1290\" height=\"860\" alt=\"\" class=\"wp-image-127987\" srcset=\"https:\/\/moresourcing.com\/wp-content\/uploads\/2026\/06\/Transforming-Investing-With-AI-at-Franklin-Templeton.jpg 1290w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2026\/06\/Davenport_Bean_Templeton-1290x860-1-300x200.jpg 300w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2026\/06\/Davenport_Bean_Templeton-1290x860-1-150x100.jpg 150w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2026\/06\/Davenport_Bean_Templeton-1290x860-1-768x512.jpg 768w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2026\/06\/Davenport_Bean_Templeton-1290x860-1-764x509.jpg 764w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2026\/06\/Davenport_Bean_Templeton-1290x860-1-382x255.jpg 382w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2026\/06\/Davenport_Bean_Templeton-1290x860-1-870x580.jpg 870w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2026\/06\/Davenport_Bean_Templeton-1290x860-1-435x290.jpg 435w\" data-lazy-sizes=\"(max-width: 1290px) 100vw, 1290px\" src=\"https:\/\/moresourcing.com\/wp-content\/uploads\/2026\/06\/Transforming-Investing-With-AI-at-Franklin-Templeton.jpg\"\/><img fetchpriority=\"high\" fetchpriority=\"high\" decoding=\"async\" width=\"1290\" height=\"860\" src=\"https:\/\/moresourcing.com\/wp-content\/uploads\/2026\/06\/Transforming-Investing-With-AI-at-Franklin-Templeton.jpg\" alt=\"\" class=\"wp-image-127987\" srcset=\"https:\/\/moresourcing.com\/wp-content\/uploads\/2026\/06\/Transforming-Investing-With-AI-at-Franklin-Templeton.jpg 1290w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2026\/06\/Davenport_Bean_Templeton-1290x860-1-300x200.jpg 300w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2026\/06\/Davenport_Bean_Templeton-1290x860-1-150x100.jpg 150w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2026\/06\/Davenport_Bean_Templeton-1290x860-1-768x512.jpg 768w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2026\/06\/Davenport_Bean_Templeton-1290x860-1-764x509.jpg 764w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2026\/06\/Davenport_Bean_Templeton-1290x860-1-382x255.jpg 382w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2026\/06\/Davenport_Bean_Templeton-1290x860-1-870x580.jpg 870w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2026\/06\/Davenport_Bean_Templeton-1290x860-1-435x290.jpg 435w\" sizes=\"(max-width: 1290px) 100vw, 1290px\"\/><figcaption>\n<p class=\"attribution\">Patrick George\/Ikon Images<\/p>\n<\/figcaption><\/figure>\n<div class=\"article-summary\"><strong class=\"article-summary__strong\">Summary: <\/strong><\/p>\n<p>Investment and asset management firm Franklin Templeton knows that the financial industry is at the beginning of an AI-driven transformation, and it intends to be on the leading edge. Its AI-powered Intelligence Hub, for example, is already enhancing sales insights, territory management, and client engagement. And with AI-enabled capabilities like investment analysis and research, and initiatives like voice intelligence, the firm is well on its way to redesigning the investment process.<\/p>\n<\/div>\n<p><span class=\"smr-leadin\">What would you do<\/span> with artificial intelligence if you were confident that it would transform your industry? What actions would you take if you felt that you were at an inflection point in that transformation? Would you try to be an early proponent of AI-first in your industry, or a fast follower?<\/p>\n<p>Those are some of the questions faced by the leaders of Franklin Templeton \u2014 officially Franklin Resources Inc. \u2014 a large investment and asset management firm with about $1.7 trillion in assets under management that was founded in 1947.<\/p>\n<p>Over its 79-year history, Franklin Templeton has grown through strategic acquisitions that have enhanced its capabilities and global reach and expanded its competencies across asset classes, geographies, and investment philosophies.<\/p>\n<p>Today, however, AI is an important driver of future growth and profitability. <a href=\"https:\/\/www.mckinsey.com\/industries\/financial-services\/our-insights\/how-ai-could-reshape-the-economics-of-the-asset-management-industry\" target=\"_blank\" rel=\"noopener noreferrer\">Consultants<\/a>, <a href=\"https:\/\/doi.org\/10.1016\/j.jfs.2025.101472\" target=\"_blank\" rel=\"noopener noreferrer\">academics<\/a>, and <a href=\"https:\/\/www.cfainstitute.org\/insights\/articles\/how-machine-learning-is-transforming-the-investment-process\" target=\"_blank\" rel=\"noopener noreferrer\">industry associations<\/a> agree that the technology is already powering research, compliance, and client relationships in the investment field and that it will transform them further in the future.<\/p>\n<p>Jenny Johnson, Franklin Templeton\u2019s CEO and a third-generation leader of the firm, has long combined investment leadership with deep technology fluency, having managed technology organizations earlier in her career. Before AI became a board-level mandate, she had already been focusing on AI for years. She personally experiments with generative AI, building AI agents and using techniques like vibe coding (using generative AI prompts to write code) to create computer programs.<\/p>\n<p>But even Johnson has been amazed by the rapid advancement of AI in the industry. \u201cThis is faster than even I thought it was coming,\u201d she said in a November 2025 <a href=\"https:\/\/www.youtube.com\/watch?v=M7UPY9HKAKM\" target=\"_blank\" rel=\"noopener noreferrer\">video interview<\/a>. \u201cEvery big financial institution spends a lot of money on reconciliation between systems and reconciling data. AI can help with that.\u201d She noted that AI could also review company research reports and sell-side reports, analyzing, for instance, how tariffs would affect U.S. pharmaceutical companies versus those in Europe. \u201cI don\u2019t think everyone will have the same models,\u201d she said. \u201cTraining the model is all going to be about your own data.\u201d The future, she said, will be having the company\u2019s entire talent force using AI as a tool.<\/p>\n<h3>AI Capabilities Today at Franklin Templeton<\/h3>\n<p>Franklin Templeton is moving rapidly toward that future, with a huge variety of internal AI capabilities and transformative platforms at both production and pilot status. The company has product teams that work with business units such as distribution, operations, and investments. Each product team operates under an AI-first model that combines product management, engineering, and data science into one unit. There is a common AI platform team and a research team. There is also an adoption and solutions team that drives employee implementation of AI and helps align business benefits with the products.<\/p>\n<div class=\"callout-pullquote callout-pullquote--no-quote\" data-aos-duration=\"900\" data-aos-anchor-placement=\"bottom-bottom\" data-aos-easing=\"ease-out-back\" data-aos=\"fade-new-left\">\n<p class=\"callout-pullquote__quote\">\n\t\t\t\t\tAI-powered workflows automate list generation, meeting preparation, and dynamic prioritization.\n\t\t\t\t\t<\/p>\n<\/div>\n<p>Deep Ratna Srivastav, the company\u2019s chief AI officer, is responsible for AI product management, engineering, research, and adoption. He was involved in the conceptualization and launch of Franklin Templeton\u2019s <a href=\"https:\/\/www.franklintempleton.com.au\/articles\/2025\/multi-asset\/inside-the-goals-optimization-engine\" target=\"_blank\" rel=\"noopener noreferrer\">Goals Optimization Engine<\/a>, one of the company\u2019s early portfolio selection and optimization offerings. He told us that the engine integrates with global fintech ecosystems \u2014 including those with recordkeepers, managed account providers, custodians, and digital wealth platforms \u2014 to deliver personalized investment strategies aligned to investors\u2019 financial objectives. It currently generates recommendations for over 40,000 investors, primarily focusing on retirement goals. The application has been embraced by several of the company\u2019s strategic partners and is part of the firm\u2019s forward-looking AI road map. The next phase, Srivastav said, will apply reinforcement learning to advance portfolio optimization.<\/p>\n<aside class=\"article-ad ad-300  ad-300x600 ad-desktop\">\n<\/aside>\n<aside class=\"article-ad ad-300  ad-300x250 ad-mobile\">\n<\/aside>\n<p>Franklin Templeton offers its sales and distribution team its Intelligence Hub, which brings together AI and digital capabilities designed to enhance insights, facilitate territory management, and strengthen client engagement in meetings with financial advisers. The hub centralizes previously fragmented data sources, research, and over 15 workflow tools into a single interface, reducing manual search time and accelerating access to important content for sales meetings. AI-powered workflows automate list generation, meeting preparation, and dynamic prioritization. A Franklin Templeton salesperson can get a recommendation on which independent financial advisers to highlight, what to focus on in a client conversation, how best to get visibility with the adviser, and the most appropriate clients to meet with based on geographical proximity.<\/p>\n<p>Following a yearlong pilot, Intelligence Hub was made broadly available to the company\u2019s sales professionals in early 2026. Srivastav said it has delivered measurable efficiency improvements, including reduced daily preparation time before client meetings. It has also led to a significant increase in value-added client interactions.<\/p>\n<p>The company has also applied AI to end-to-end processes in the middle and back offices of the organization. There are AI-enabled platforms in production for automated reconciliation of trades and for creating scalable communications with custodians, counterparties, and core trade operations.<\/p>\n<p>Investment analysis is also increasingly supported by AI. The goal is not to automate investment advice but to support it with better information, faster iteration, and insights that humans alone couldn\u2019t arrive at. \u201cCopilot, not autopilot\u201d is the overall objective.<\/p>\n<p>To that end, a system called MosaiQ combines portfolio construction, manager research, and analysis into a single platform. An AI assistant named Pixel guides users through MosaiQ using natural language to explain complex investing concepts and, increasingly, to perform end-to-end tasks on users\u2019 behalf. There is a new portfolio manager \u201ccopilot\u201d assistant in place that can provide early warnings of market shocks, identify behavioral biases in training, and provide insights on portfolio creation. Franklin Templeton has also built an agentic investment analyst called Gromit that can independently analyze nuanced topics (for example, the impact of higher oil prices on U.S. labor trends), fact-check humans, and offer contrarian viewpoints by analyzing a breadth of proprietary and third-party data sources. Those systems are primarily powered by generative AI.<\/p>\n<h3>Looking Forward<\/h3>\n<p>To position the company for evolving client demands, Franklin Templeton\u2019s $103 billion multi-asset group, Franklin Templeton Investment Solutions, tasked Max Gokhman, formerly its deputy chief investment officer, to lead the new AI &amp; Digital Asset Solutions team. It will focus on three areas: further developing AI-driven investment capabilities, launching strategies incorporating digital assets and tokenized products, and advising clients on the effective use of these technologies in their own portfolios and organizations. Gokhman\u2019s experience as an AI company founder, digital asset investor, institutional asset allocator, multi-asset portfolio manager, and chief investment officer made him uniquely suited to lead this effort.<\/p>\n<div class=\"callout-pullquote callout-pullquote--no-quote callout-pullquote--long\" data-aos-duration=\"900\" data-aos-anchor-placement=\"bottom-bottom\" data-aos-easing=\"ease-out-back\" data-aos=\"fade-up\">\n<p class=\"callout-pullquote__quote\">\n\t\t\t\t\t\u201cTenacious focus and a willingness to pivot\u201d are now necessities for asset managers who want to stay relevant.\n\t\t\t\t\t<\/p>\n<\/div>\n<p>\u201cI\u2019ve seen our industry change multiple times over my career, but never at a pace this rapid,\u201d Gokhman said. \u201cTenacious focus and a willingness to pivot are requisite for any asset manager that wants to be relevant five years from now.\u201d<\/p>\n<p>Chief AI officer Srivastav and his colleagues are working across many other end-to-end processes. One involves voice intelligence for the U.S. retail business to transform customer engagement. \u201cPortfolio commentary\u201d AI, which will deliver timely insights to strengthen the client experience, is in the planning stage. Utilizing the multi-agent orchestration portfolio management copilot for the investment team is another step in the end-to-end redesign of the investment process. Marketing is streamlining its content creation process,\u00a0enabling it to produce more personalized, timely, and high-quality content. Other corporate functions \u2014 including legal, compliance, HR, and finance \u2014 will be similarly reengineered with AI.<\/p>\n<p>Neither Srivastav nor CEO Johnson is terribly concerned about whether Franklin Templeton\u2019s employees will go along with the AI transformation. While the opportunities for AI education have been only somewhat popular, there has nonetheless been rapid adoption of virtually every AI tool made available to employees, Srivastav said. In many cases, these tools have been visible to clients and partners, which is helpful in persuading employees to use them. Srivastav noted that noncompliance with the company\u2019s extensive AI governance policy and procedures has not been a concern thus far.<\/p>\n<p>The leadership team of Franklin Templeton isn\u2019t sure whether its AI capabilities will result in a \u201cbig bank\u201d transformation or whether they\u2019ll power a slower evolution toward increased efficiency and effectiveness. They do know, however, that they want to be ready in advance of customer and market demand and that they need to be among the industry\u2019s leaders.<\/p>\n<aside class=\"article-ad ad-300  ad-300x250 ad-desktop\">\n<\/aside>\n<aside class=\"article-ad ad-300  ad-300x250 ad-mobile\">\n<\/aside>\n<div class=\"article-left-col--footer\">\n<section class=\"article-topics\">\n<h4 class=\"article-topics__title\">Topics<\/h4>\n<\/section>\n<section class=\"article-section\">\n<h4 class=\"article-section__title\">AI in Action<\/h4>\n<p>\n            This column series looks at the biggest data and analytics challenges facing modern companies and dives deep into successful use cases that can help other organizations accelerate their AI progress.        <\/p>\n<p>        <a href=\"https:\/\/sloanreview.mit.edu\/series\/ai-in-action\/\" class=\"article-section__link\"><\/p>\n<p>           More in this series<br \/>\n                      <\/a><\/p>\n<\/section><\/div>\n<div class=\"article-authors\" id=\"article-authors\">\n<h4 class=\"article-authors__title\">About the Authors<\/h4>\n<div class=\"article-authors__bio\">\n<p><a href=\"https:\/\/www.linkedin.com\/in\/davenporttom\/\" target=\"_blank\" rel=\"noopener noreferrer\">Thomas H. Davenport<\/a> is the President\u2019s Distinguished Professor of Information Technology and Management and faculty director of the Metropoulos Institute for Technology and Entrepreneurship at Babson College, and a fellow of the MIT Initiative on the Digital Economy. His latest book is <cite>The New Science of Customer Relationships: Delivering the One-to-One Promise With AI<\/cite> (Wiley, 2025). <a href=\"https:\/\/www.linkedin.com\/in\/randy-bean-6903882\/\" target=\"_blank\" rel=\"noopener noreferrer\">Randy Bean<\/a> has been an adviser on data and AI leadership to Fortune 1000 organizations for over four decades. He is the author of\u202f<cite>Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI<\/cite> (Wiley, 2021).<\/p>\n<\/div><\/div>\n<\/div>\n<p>#Transforming #Investing #Franklin #Templeton<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Topics AI in Action This column series looks at the biggest data and analytics challenges facing modern companies and dives deep into successful use cases that can help other organizations accelerate their AI progress. More in this series Patrick George\/Ikon Images Summary: Investment and asset management firm Franklin Templeton knows that the financial industry is [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":8166,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[9],"tags":[],"class_list":["post-8165","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-management"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.7.1 (Yoast SEO v25.8) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Transforming Investing With AI at Franklin Templeton - MORE SOURCING LTD<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/moresourcing.com\/en\/transforming-investing-with-ai-at-franklin-templeton\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Transforming Investing With AI at Franklin Templeton\" \/>\n<meta property=\"og:description\" content=\"Topics AI in Action This column series looks at the biggest data and analytics challenges facing modern companies and dives deep into successful use cases that can help other organizations accelerate their AI progress. 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