{"id":1455,"date":"2025-06-04T18:44:40","date_gmt":"2025-06-04T18:44:40","guid":{"rendered":"https:\/\/insightkraft.com\/?p=1455"},"modified":"2025-06-04T18:44:40","modified_gmt":"2025-06-04T18:44:40","slug":"ai-global-business-leadership-strategy","status":"publish","type":"post","link":"https:\/\/insightkraft.com\/index.php\/2025\/06\/04\/ai-global-business-leadership-strategy\/","title":{"rendered":"Themes from &#8220;Competing in the Age of AI&#8221;: A Reflective Walk Through Strategy, Leadership, Ethics, and More"},"content":{"rendered":"\n<p>While researching how AI is redrawing the map of international business, I picked up <em>Competing in the Age of AI<\/em> by Marco Iansiti and Karim R. Lakhani\u2014driven by both curiosity and urgency. I wanted to understand how AI transforms technology, how it changes the way companies are structured, how they lead, and how they stay accountable in a fast-changing world.<\/p>\n\n\n\n<p>As I read, I started grouping insights not just by chapters but by themes that felt deeply relevant to the work many of us are trying to do\u2014whether you&#8217;re building a tech startup, leading a traditional firm through change, or simply trying to understand the shifting landscape. Here\u2019s my take, organised by four key themes: <strong>Leadership, Strategy, Ethics, and Architecture<\/strong>\u2014with a few stories along the way.<\/p>\n\n\n\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_79_2 counter-hierarchy ez-toc-counter ez-toc-light-blue ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Key Points Discussed<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 eztoc-toggle-hide-by-default' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/insightkraft.com\/index.php\/2025\/06\/04\/ai-global-business-leadership-strategy\/#About_the_Author\" >About the Author<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/insightkraft.com\/index.php\/2025\/06\/04\/ai-global-business-leadership-strategy\/#Key_Takeaways\" >Key Takeaways<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/insightkraft.com\/index.php\/2025\/06\/04\/ai-global-business-leadership-strategy\/#Leadership_Adoption_and_Reinvention\" >Leadership: Adoption and Reinvention<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/insightkraft.com\/index.php\/2025\/06\/04\/ai-global-business-leadership-strategy\/#Strategy_From_Moats_to_Flywheels\" >Strategy: From Moats to Flywheels<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/insightkraft.com\/index.php\/2025\/06\/04\/ai-global-business-leadership-strategy\/#Ethics_The_New_Cost_of_Scale\" >Ethics: The New Cost of Scale<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/insightkraft.com\/index.php\/2025\/06\/04\/ai-global-business-leadership-strategy\/#Architecture_Rearchitect_Dont_Just_Digitise\" >Architecture: Rearchitect, Don\u2019t Just Digitise<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/insightkraft.com\/index.php\/2025\/06\/04\/ai-global-business-leadership-strategy\/#Closing_Thoughts\" >Closing Thoughts<\/a><\/li><\/ul><\/nav><\/div>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"About_the_Author\"><\/span>About the Author<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p><strong>Marco Iansiti<\/strong> and <strong>Karim R. Lakhani<\/strong> are professors at Harvard Business School. Iansiti specialises in technology strategy and the digital transformation of firms. Lakhani is a leading researcher on artificial intelligence, open innovation, and platforms. Together, they\u2019ve advised global firms and led executive programs on how AI is reshaping business and competition.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Key_Takeaways\"><\/span>Key Takeaways<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Leadership Must Evolve<\/strong>: The best leaders in the AI era reimagine culture, structure, and decision-making\u2014not just tech adoption.<\/li>\n\n\n\n<li><strong>Strategy is Systemic<\/strong>: Advantage now comes from platform orchestration, data flows, and feedback loops\u2014not static positioning.<\/li>\n\n\n\n<li><strong>Ethics Scales Too<\/strong>: AI amplifies bias and surveillance if left unchecked. Responsible design is non-negotiable.<\/li>\n\n\n\n<li><strong>Rearchitect the Firm<\/strong>: Winning firms run AI factories. It\u2019s not about overlaying AI\u2014it\u2019s about rebuilding the operating model from the core.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Leadership_Adoption_and_Reinvention\"><\/span>Leadership: Adoption and Reinvention<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Leadership in the age of AI is about fundamentally rethinking how decisions are made, how teams are structured, and how accountability is built into the very fabric of the organisation.<\/p>\n\n\n\n<p>Chapter 5, <em>Becoming an AI Company<\/em>, dives into this challenge headfirst. Microsoft is the standout case here. Under Satya Nadella, Microsoft didn\u2019t just become more digital\u2014it became a learning organisation. It shifted from a product mindset to a platform mindset, from silos to cross-functional teams, from managing products to orchestrating ecosystems. That required leadership with both humility and boldness.<\/p>\n\n\n\n<p>Later, in Chapter 10, the authors bring this full circle: <strong>AI is a technological shift as well as a leadership test.<\/strong> The best leaders build ethical governance into AI strategy, empower frontline teams to experiment, and rethink what it means to &#8220;scale&#8221; in a world where software\u2014not people\u2014is doing most of the operational heavy lifting.<\/p>\n\n\n\n<p><strong>Three Key Examples:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Microsoft:<\/strong>  Nadella\u2019s cultural reset emphasised empathy, learning, and AI as a core driver\u2014not an add-on. &#8220;AI is the runtime that is going to shape all of what we do,&#8221; as Nadella puts it.<\/li>\n\n\n\n<li><strong>Fidelity Investments:<\/strong> Built an internal AI Center of Excellence and democratised data literacy across the organisation. Leadership backed it with both training and structural change.<\/li>\n\n\n\n<li><strong>Ping An:<\/strong> Transformed from a traditional financial services firm to a tech-first platform spanning health and finance\u2014driven by visionary leadership willing to challenge internal orthodoxy.<\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-group is-vertical is-layout-flex wp-container-core-group-is-layout-8cf370e7 wp-block-group-is-layout-flex\">\n<h6 class=\"wp-block-heading\">Framework: Leadership Capabilities for the AI Age<\/h6>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th><strong>Capability<\/strong><\/th><th><strong>Description<\/strong><\/th><\/tr><\/thead><tbody><tr><td>Strategic Reorientation<\/td><td>Shift vision towards digital and data-led business models<\/td><\/tr><tr><td>Organisational Redesign<\/td><td>Break down silos; encourage agile teams and rapid experimentation<\/td><\/tr><tr><td>Culture Transformation<\/td><td>From top-down planning to iterative learning<\/td><\/tr><tr><td>Ethical Governance<\/td><td>Develop AI guidelines, audits, transparency practices<\/td><\/tr><tr><td>Public-Private Collaboration<\/td><td>Engage with regulators, shape policy, uphold responsibility at scale<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div>\n\n\n\n<p><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Strategy_From_Moats_to_Flywheels\"><\/span>Strategy: From Moats to Flywheels<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Traditional strategy is all about positioning. But in the AI era, as laid out in Chapter 6, strategy is more about participation\u2014being part of the right data flows, networks, and feedback loops.<\/p>\n\n\n\n<p>Three things now matter more than anything:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Your <strong>network position<\/strong> (how well-connected your users, suppliers, and partners are),<\/li>\n\n\n\n<li>Your <strong>data advantage<\/strong> (not just data collection, but the ability to act on it in real time),<\/li>\n\n\n\n<li>And your ability to <strong>build a platform<\/strong> that lets others create value too.<\/li>\n<\/ul>\n\n\n\n<p>Uber is a great example from this chapter. It\u2019s not just a taxi alternative\u2014it\u2019s a matchmaking engine fuelled by real-time data. Every interaction sharpens its algorithms, making it harder for slower-moving competitors to keep up.<\/p>\n\n\n\n<p>And in Chapter 7, we see what happens when these fast, AI-native firms run into traditional businesses. Spoiler: it\u2019s not pretty. Airbnb didn\u2019t beat hotels on price or comfort\u2014it won on data and network effects. Tesla didn\u2019t beat car companies with better factories\u2014it beat them with better feedback systems and software.<\/p>\n\n\n\n<p><strong>Three Key Examples:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Uber:<\/strong> A dynamic pricing and matching engine that grows smarter with every ride. Its strategy isn\u2019t just about scale\u2014it\u2019s about learning.<\/li>\n\n\n\n<li><strong>Airbnb:<\/strong> Turned lodging into a platform play\u2014using trust mechanisms, user reviews, and AI-powered recommendations to build a global marketplace.<\/li>\n\n\n\n<li><strong>Tesla:<\/strong> Every mile driven feeds into its neural network, improving self-driving capability. The firm learns faster than incumbents can redesign.<\/li>\n<\/ul>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>&#8220;Strategic moats are now dynamic\u2014created and lost faster than ever before.&#8221;<\/p>\n<\/blockquote>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Ethics_The_New_Cost_of_Scale\"><\/span>Ethics: The New Cost of Scale<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Chapter 8 made me pause. We often celebrate scale in digital business, but what if the very things that make AI powerful also make it dangerous?<\/p>\n\n\n\n<p>AI systems can amplify bias, deepen surveillance, and accelerate misinformation. And because they scale so fast, the consequences are often <strong>outsized and invisible<\/strong>. The chapter walks through tough examples\u2014from facial recognition bias to targeted ad systems that unintentionally reinforce discrimination.<\/p>\n\n\n\n<p>The takeaway? Ethical frameworks can\u2019t be afterthoughts. They need to be part of the operating system. Leaders must set the tone, yes, but organisations also need independent auditability, explainability, and internal governance teams with teeth.<\/p>\n\n\n\n<p>Chapter 10 picks this up again, arguing that responsible AI is not a &#8220;compliance task&#8221; but a leadership mandate. That shift in framing really stayed with me.<\/p>\n\n\n\n<p><strong>Three Key Examples:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Facebook:<\/strong> Algorithms optimised for engagement led to misinformation propagation. Highlighted the risks of AI at scale without proper ethical guardrails.<\/li>\n\n\n\n<li><strong>Google Ads:<\/strong> Showed how ad delivery could unintentionally vary by race or gender\u2014revealing latent biases in training data and model outputs.<\/li>\n\n\n\n<li><strong>Predictive Policing Tools:<\/strong> Reinforced systemic bias by learning from historically biased datasets\u2014raising urgent questions about accountability.<\/li>\n<\/ul>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>&#8220;Algorithms are not neutral. They reflect the data they are trained on\u2014and the intentions of those who deploy them.&#8221;<\/p>\n<\/blockquote>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Architecture_Rearchitect_Dont_Just_Digitise\"><\/span>Architecture: Rearchitect, Don\u2019t Just Digitise<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Framework: <strong>Human-at-the-Edge Operating Model<\/strong><\/p>\n\n\n\n<p>Early on\u2014in Chapters 2 through 4\u2014the book makes one thing clear: digitising your current operations is not the same as becoming an AI-driven firm.<\/p>\n\n\n\n<p>What\u2019s needed is a full <strong>rearchitecture<\/strong> of the firm. The standout metaphor is the &#8220;AI factory&#8221; from Chapter 3\u2014a system that continuously converts data into improved predictions, decisions, and actions. Netflix embodies this beautifully. Every user interaction feeds a loop of better recommendations, smarter content acquisition, and more engagement.<\/p>\n\n\n\n<p>Then in Chapter 4, we see Amazon as a masterclass in modular architecture. Every internal service was rebuilt to be API-accessible. That means teams could innovate independently, share data efficiently, and integrate AI seamlessly into the logistics chain. It\u2019s not about putting AI on top of your current processes\u2014it\u2019s about <strong>rebuilding your processes so that AI is the core engine<\/strong>.<\/p>\n\n\n\n<p><strong>Three Key Examples:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Netflix:<\/strong> Built an AI factory around personalisation. Their A\/B testing culture and recommendation system are deeply embedded in the operating core.<\/li>\n\n\n\n<li><strong>Amazon:<\/strong> Created internal modular services with APIs, enabling every business unit to innovate, learn, and scale AI features independently.<\/li>\n\n\n\n<li><strong>Ocado:<\/strong> Transitioned from an online retailer to a tech platform providing AI-driven fulfilment systems to global partners.<\/li>\n<\/ul>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>&#8220;AI doesn\u2019t just support decisions\u2014it becomes the system that makes them.&#8221;<\/p>\n<\/blockquote>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Concept<\/th><th>Netflix<\/th><th>Amazon<\/th><th>Ping An<\/th><\/tr><\/thead><tbody><tr><td><strong>AI Factory Use<\/strong><\/td><td>Content recommendation<\/td><td>Supply chain, pricing, CX<\/td><td>Insurance, health, finance<\/td><\/tr><tr><td><strong>Data Utilization<\/strong><\/td><td>Viewing behavior, metadata<\/td><td>Shopping history, device, location<\/td><td>Claims, health data, financial transactions<\/td><\/tr><tr><td><strong>Rearchitected System<\/strong><\/td><td>Experimentation and personalization engine<\/td><td>Modular APIs, robotics, cloud-native ops<\/td><td>Integrated platform across services<\/td><\/tr><tr><td><strong>Outcome<\/strong><\/td><td>Scalable global personalization<\/td><td>Hyper-efficient operations, service scope<\/td><td>Full-service digital ecosystem<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Closing_Thoughts\"><\/span>Closing Thoughts<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Reading this book, I was reminded that AI isn&#8217;t just a technological disruption\u2014it&#8217;s an organisational one. The firms that will thrive aren\u2019t just the ones that use AI. They\u2019re the ones that <strong>think like AI<\/strong>: fast, experimental, ethical, and deeply integrated.<\/p>\n\n\n\n<p>The challenge ahead isn\u2019t only to adopt AI tools. It\u2019s to <strong>reimagine our firms, our leadership styles, our strategic assumptions, and our ethical guardrails<\/strong>. And maybe, if we do it right, we won\u2019t just compete in the age of AI\u2014we\u2019ll help define it.<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>While researching how AI is redrawing the map of international business, I picked up Competing in the Age of AI by Marco Iansiti and Karim R. Lakhani\u2014driven by both curiosity and urgency. I wanted to understand how AI transforms technology, how it changes the way companies are structured, how they lead, and how they stay [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1,6,19],"tags":[12,111,112,76,81],"class_list":["post-1455","post","type-post","status-publish","format-standard","hentry","category-blog","category-industry","category-business-and-markets","tag-globaltrade","tag-ai","tag-ethics","tag-leadership","tag-strategy"],"views":285,"_links":{"self":[{"href":"https:\/\/insightkraft.com\/index.php\/wp-json\/wp\/v2\/posts\/1455","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/insightkraft.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/insightkraft.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/insightkraft.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/insightkraft.com\/index.php\/wp-json\/wp\/v2\/comments?post=1455"}],"version-history":[{"count":7,"href":"https:\/\/insightkraft.com\/index.php\/wp-json\/wp\/v2\/posts\/1455\/revisions"}],"predecessor-version":[{"id":1462,"href":"https:\/\/insightkraft.com\/index.php\/wp-json\/wp\/v2\/posts\/1455\/revisions\/1462"}],"wp:attachment":[{"href":"https:\/\/insightkraft.com\/index.php\/wp-json\/wp\/v2\/media?parent=1455"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/insightkraft.com\/index.php\/wp-json\/wp\/v2\/categories?post=1455"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/insightkraft.com\/index.php\/wp-json\/wp\/v2\/tags?post=1455"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}