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	<title>Human and AI Teams Archives - Peter Ivanov</title>
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	<title>Human and AI Teams Archives - Peter Ivanov</title>
	<link>https://peter-ivanov.com/tag/human-and-ai-teams/</link>
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		<title>10,000 AI Agents Just Solved a 90-Year Math Problem. What It Means for Your Team?</title>
		<link>https://peter-ivanov.com/orchestrating-ai-agents/</link>
		
		<dc:creator><![CDATA[Peter Ivanov]]></dc:creator>
		<pubDate>Tue, 15 Sep 2026 12:20:10 +0000</pubDate>
				<category><![CDATA[AI]]></category>
		<category><![CDATA[AI Agents]]></category>
		<category><![CDATA[Human and AI Teams]]></category>
		<category><![CDATA[leadership]]></category>
		<category><![CDATA[maths]]></category>
		<guid isPermaLink="false">https://peter-ivanov.com/?p=3663</guid>

					<description><![CDATA[<p>The post <a href="https://peter-ivanov.com/orchestrating-ai-agents/">10,000 AI Agents Just Solved a 90-Year Math Problem. What It Means for Your Team?</a> appeared first on <a href="https://peter-ivanov.com">Peter Ivanov</a>.</p>
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		<p>For almost 90 years, some of the world&#8217;s greatest mathematical minds couldn&#8217;t solve this problem. Then thousands of AI agents went to work.</p>
<p>And that raises a much bigger question: what happens when intelligence becomes scalable?</p>
<p>For centuries, one of humanity&#8217;s greatest constraints has been the availability of brilliant minds — and the amount of time those minds have. A brilliant mathematician still has only 24 hours in a day. A manager can coordinate only so many people. AI agents could fundamentally change this equation.</p>
<p>The Navier–Stokes equations describe how fluids move — from air flowing around an aircraft to water, weather systems and blood flow. A fundamental question about these equations had remained unresolved for roughly 90 years and became one of the famous Millennium Prize Problems.</p>
<p>In September 2026, OpenAI announced that its AI system had produced a proposed solution. But what fascinates me even more than the mathematics is how the problem was attacked.</p>
<p>Around 10,000 AI agents were working concurrently on the problem. Different groups explored different approaches, generated hypotheses, challenged ideas and built on one another&#8217;s work. The agents exchanged approximately 2.7 million messages. Roughly 88 hours after the first agents were launched, they had arrived at the proposed solution.</p>
<p><img fetchpriority="high" decoding="async" class="alignnone wp-image-3673 size-large" src="https://peter-ivanov.com/wp-content/uploads/2026/09/Navier-Stokes-1024x576.png" alt="" width="1024" height="576" srcset="https://peter-ivanov.com/wp-content/uploads/2026/09/Navier-Stokes-1024x576.png 1024w, https://peter-ivanov.com/wp-content/uploads/2026/09/Navier-Stokes-300x169.png 300w, https://peter-ivanov.com/wp-content/uploads/2026/09/Navier-Stokes-768x432.png 768w, https://peter-ivanov.com/wp-content/uploads/2026/09/Navier-Stokes-1536x864.png 1536w, https://peter-ivanov.com/wp-content/uploads/2026/09/Navier-Stokes.png 1672w" sizes="(max-width: 1024px) 100vw, 1024px" />The result still needs the scrutiny expected of a mathematical breakthrough of this magnitude. But the way the problem was approached already gives us a glimpse of something potentially transformative: we are beginning to scale intelligence itself.</p>
<p>Imagine having not one AI assistant but 10, 100 or 10,000 specialized AI agents working simultaneously. One searches. Another calculates. Another develops hypotheses. Another challenges them. Another integrates the findings. Another verifies the result. And they can do all of this in parallel.</p>
<p>Suddenly, the scarce resource may no longer be access to intelligence. The scarce resource becomes our ability to direct, coordinate and orchestrate intelligence effectively.</p>
<h3>From Managing People to Orchestrating Human + AI Teams</h3>
<p>This has enormous implications for business and leadership. For decades, management has largely been about organizing scarce human capacity: who should do what, where we allocate our best people, which projects deserve limited resources, how we coordinate specialists.</p>
<p>Those questions aren&#8217;t disappearing. But now we need to answer new ones: Which tasks should humans perform and which should we delegate to AI agents? How many agents should we deploy? How should they collaborate and challenge one another? When should humans intervene? And who remains accountable for the result?</p>
<p>The Navier–Stokes project gives us an early glimpse of this new operating model. The humans didn&#8217;t disappear. Humans selected the problem, allocated resources, recognized promising results and redirected agents toward the most promising paths — and humans remained responsible for evaluating what emerged.</p>
<p>That is precisely why I believe the future isn&#8217;t Human OR AI. It is Human + AI.</p>
<div style="max-width: 220px; margin: 0 auto; text-align: center;"></div>
<h3>Leaders as Managers of Infinite Minds</h3>
<p>Imagine a project leader who today manages 20 people. Tomorrow, those same 20 people might each orchestrate dozens or hundreds of <a href="https://peter-ivanov.com/ai-agents-in-practice/">specialized AI agents</a>. The intellectual capacity available to that team could increase dramatically without increasing the human organization at anything close to the same rate.</p>
<p>This changes the role of leadership. But there is an important catch: giving a poor manager 1,000 employees doesn’t make them 1,000 times more productive — it multiplies the management problem. The same will be true for AI agents.</p>
<p>If we cannot define objectives clearly, provide the right context, establish constraints, divide work intelligently, coordinate agents and validate their outputs, additional AI capacity may simply generate additional noise. That’s why I believe AI delegation and orchestration will become core leadership skills.</p>
<p>The leader’s role starts moving upward: from doing to delegating, from prompting to orchestrating, from producing answers to defining the right questions, from managing tasks to designing Human + AI systems.</p>
<div style="text-align: center;"><img decoding="async" style="max-width: 100%; height: auto;" src="https://peter-ivanov.com/wp-content/uploads/2026/09/leaders-role-evolution.png" alt="Leader’s Role Evolution" /></div>
<p>Tomorrow’s leaders may increasingly become <a href="https://peter-ivanov.com/manager-of-infinite-minds/">Managers of Infinite Minds</a> — humans capable of orchestrating enormous amounts of digital intelligence while providing the purpose, judgment, creativity and accountability that remain uniquely human.</p>
<p>So perhaps the most important question for leaders is no longer “What can AI do for me?” but</p>
<p><em>“What could my team achieve if intelligence were no longer our limiting factor?”</em></p>
<p>That is the promise of Human + AI Teams. And we are only beginning to discover what they can achieve.</p>
<p>I’d love to hear from you: if you could deploy 100 AI agents on your team’s biggest challenge tomorrow, what would you point them at? Drop your answer below.</p>
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<p>The post <a href="https://peter-ivanov.com/orchestrating-ai-agents/">10,000 AI Agents Just Solved a 90-Year Math Problem. What It Means for Your Team?</a> appeared first on <a href="https://peter-ivanov.com">Peter Ivanov</a>.</p>
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		<title>Why using more AI Is making Your Team more isolated and how to Build Human and AI Teams?</title>
		<link>https://peter-ivanov.com/ai-teams-isolation-connection/</link>
		
		<dc:creator><![CDATA[Peter Ivanov]]></dc:creator>
		<pubDate>Wed, 26 Aug 2026 09:26:58 +0000</pubDate>
				<category><![CDATA[AI]]></category>
		<category><![CDATA[futureofwork]]></category>
		<category><![CDATA[Human and AI Teams]]></category>
		<category><![CDATA[isolation]]></category>
		<category><![CDATA[leadership]]></category>
		<guid isPermaLink="false">https://peter-ivanov.com/?p=3518</guid>

					<description><![CDATA[<p>&#160; Teams that adopt AI fast often become isolated fast, too. Gallup&#8217;s 2026 State of the Global Workplace report found that leaders and managers now report more daily stress, anger,...</p>
<p>The post <a href="https://peter-ivanov.com/ai-teams-isolation-connection/">Why using more AI Is making Your Team more isolated and how to Build Human and AI Teams?</a> appeared first on <a href="https://peter-ivanov.com">Peter Ivanov</a>.</p>
]]></description>
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<p id="ember396" class="ember-view reader-text-block__paragraph">Teams that adopt AI fast often become isolated fast, too.</p>
<p id="ember397" class="ember-view reader-text-block__paragraph">Gallup&#8217;s 2026 State of the Global Workplace report found that leaders and managers now report more daily stress, anger, sadness, and loneliness than the people they lead, even as organizations pour money into AI. The AI isn&#8217;t antisocial by design. It quietly removes the small, unplanned moments of human contact that used to hold a team together: the question you asked a colleague instead of a chatbot, the shared frustration over a task that&#8217;s now solved alone in twelve seconds. Keeping a team connected in the AI era doesn&#8217;t happen by accident. It takes the same deliberate design <a class="IBvLOLtvTHkOlRLtZPklyicUJvcJApLKPBLkve " tabindex="0" href="http://peter-ivanov.com/" target="_self" data-test-app-aware-link="">Peter Ivanov</a> uses with his Virtual Power Teams method, applied to a new problem.</p>
<h2 id="ember398" class="ember-view reader-text-block__heading-2">Isolation Was Already the Risk in Virtual Teams. AI Didn&#8217;t Cause It, but It Accelerated It</h2>
<p id="ember399" class="ember-view reader-text-block__paragraph">Long before AI, distributed and hybrid teams already had a connection problem: the informal, unscheduled contact that happens naturally in a shared office doesn&#8217;t happen on its own when people work apart. That&#8217;s the starting premise behind Virtual Power Teams and <a class="IBvLOLtvTHkOlRLtZPklyicUJvcJApLKPBLkve " tabindex="0" href="https://youtu.be/aP8OZ13dbbA?si=0x651W_sqSllCiGe" target="_self" data-test-app-aware-link="">the 10 Big Rocks</a>, Peter&#8217;s method for managing virtual and hybrid teams. AI adds a second layer to the same problem. Even people sitting in the same building, on the same team, can now go most of a workday without needing another human at all, because the AI answered the question, drafted the doc, or ran the analysis instead. The tool changed. The underlying risk — an organization built on individual output instead of shared work — is the same one Peter has been addressing since before AI made it worse.</p>
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<div class="ivm-view-attr__img-wrapper "><img decoding="async" id="ember400" class="ivm-view-attr__img--centered reader-image-block__img evi-image lazy-image ember-view" src="https://media.licdn.com/dms/image/v2/D4D12AQHDJOxuNP_P0Q/article-inline_image-shrink_1000_1488/B4DaA9D_CMGkAI-/0/1787730858643?e=1789603200&amp;v=beta&amp;t=QmF6OVnIogWd6uDNpB_t_3rKLt-j9JVMsiQLljGVyfY" alt="Article content" /></div>
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<p id="ember401" class="ember-view reader-text-block__paragraph">Two separate 2026 studies back this up from different angles. Gallup&#8217;s report, based on more than 141,000 employees across 140-plus countries, found that leaders now carry more daily stress, anger, sadness, and loneliness than the people they manage, even as their overall engagement scores stay higher. And a 2026 survey of 22,481 employees by MyIQ, reported by Forbes, gets specific about the mechanism:</p>
<p id="ember402" class="ember-view reader-text-block__paragraph"><strong><em>74% of people now ask AI a question they used to ask a colleague.</em></strong></p>
<p id="ember403" class="ember-view reader-text-block__paragraph">48% report fewer spontaneous conversations at work, and 53% say their workday feels more transactional than it used to. None of that is a coincidence. It&#8217;s the exact isolation risk Virtual Power Teams was built to address, showing up in a new set of numbers.</p>
<h2 id="ember404" class="ember-view reader-text-block__heading-2">Leaders Are Now Managing More Than Just Their People</h2>
<p id="ember405" class="ember-view reader-text-block__paragraph">Peter&#8217;s talk on <a class="IBvLOLtvTHkOlRLtZPklyicUJvcJApLKPBLkve " tabindex="0" href="https://peter-ivanov.com/manager-of-infinite-minds/" target="_self" data-test-app-aware-link="">Managers of Infinite Minds</a> names something most leaders haven&#8217;t fully admitted yet: they aren&#8217;t only managing a team of people anymore. They&#8217;re managing a team where every person also has one or more AI collaborators working alongside them, each with a different capability, a different failure mode, and no shared context with the rest of the team unless someone deliberately creates it. A manager who only tracks human-to-human dynamics is now missing half the picture. The team&#8217;s actual connectedness <strong>depends as much on whether people are talking to each other about how they use AI</strong> as it does on whether they&#8217;re talking to each other at all.</p>
<p id="ember406" class="ember-view reader-text-block__paragraph">Gallup&#8217;s own AI-adoption data makes the stakes concrete: employees whose manager actively supports their AI use are up to 8.7 times more likely to say AI has genuinely transformed how their work gets done. Only around three in ten employees currently say their manager offers that kind of active support. Most managers are absent from exactly the conversation Managers of Infinite Minds says they need to be leading.</p>
<h3 id="ember407" class="ember-view reader-text-block__heading-3">Make AI a Team Conversation, Not an Individual Habit</h3>
<p id="ember408" class="ember-view reader-text-block__paragraph">The single biggest lever here: stop treating AI use as something each person figures out alone. When a team member&#8217;s AI workflow is invisible to the rest of the team, whatever isolation that creates stays invisible too. The MyIQ data shows what that invisibility costs: 46% of employees say they now know less about how their teammates actually approach problems, and 59% ask colleagues for a second opinion less often than they used to. Peter&#8217;s approach with client teams starts by putting AI use on the table as a shared topic: what people are actually using it for, what AI is getting wrong, and what prompt or approach is worth stealing from a teammate instead of reinventing solo. This one shift — treating AI as a trusted teammate the whole team discusses openly, rather than a private tool each person quietly optimizes — does more to rebuild connection than any wellness initiative bolted on afterward.</p>
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<h3 id="ember410" class="ember-view reader-text-block__heading-3">Redesign the Rituals, Don&#8217;t Just Add More Meetings</h3>
<p id="ember411" class="ember-view reader-text-block__paragraph">More meetings is the wrong answer, and most leaders reach for it first. The right move is redesigning the rituals a team already has so they do double duty: connection and coordination in the same twenty minutes, instead of a status update nobody needed a live meeting for. A stand-up that spends two of its ten minutes on <strong>&#8220;what did you learn from AI this week that the team should know&#8221;</strong> does more for connection than an hour-long all-hands. This is the same principle behind the 10 Big Rocks: fewer, better-designed rituals beat a calendar full of meetings that exist out of habit.</p>
<p id="ember412" class="ember-view reader-text-block__paragraph"><strong>Tip: Once a week, share with your team what you learned or built with AI. Don&#8217;t cover up your mistakes — turn them into a learning opportunity!</strong></p>
<p id="ember413" class="ember-view reader-text-block__paragraph">Recently I ran a series of &#8220;AI for Leaders&#8221; workshops with <strong>Aurubis Bulgaria</strong>, a metallurgy company and part of the global Aurubis Group. The goal: moonshots — big, hairy goals that can look impossible on paper but are exactly what makes a team lean in. Prompting as a team made the real difference: when cross-functional teams brainstorm and prompt together, the outcomes land on a completely different level than anyone working solo could reach. Feel the spirit of the <a class="IBvLOLtvTHkOlRLtZPklyicUJvcJApLKPBLkve " tabindex="0" href="https://lnkd.in/p/dxvE4_8b" target="_self" data-test-app-aware-link="">workshop here</a></p>
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<div class="ivm-view-attr__img-wrapper "><img decoding="async" id="ember414" class="ivm-view-attr__img--centered reader-image-block__img evi-image lazy-image ember-view" src="https://media.licdn.com/dms/image/v2/D4D12AQGW2_OdEwkN9Q/article-inline_image-shrink_1000_1488/B4DaA9C.ySJ0AM-/0/1787730587010?e=1789603200&amp;v=beta&amp;t=hHk8asSO-EeU16gphUf6BVDcafHTcqqh7a--i_91xX0" alt="Article content" /></div>
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<h3 id="ember415" class="ember-view reader-text-block__heading-3">The Point Isn&#8217;t Less AI. It&#8217;s More Deliberate, Well-Designed Human and AI Interaction</h3>
<p id="ember416" class="ember-view reader-text-block__paragraph">Nobody&#8217;s team gets more connected by using AI less. The future belongs to <a class="IBvLOLtvTHkOlRLtZPklyicUJvcJApLKPBLkve " tabindex="0" href="https://peter-ivanov.com/ai-agents-in-practice/" target="_self" data-test-app-aware-link="">Human and AI teams</a>. The teams that stay connected are the ones where leaders treat connection as something to design for on purpose, the same way they&#8217;d design for output or speed, instead of assuming it&#8217;ll survive on its own now that so much of the work doesn&#8217;t require another person in the room.</p>
<p id="ember417" class="ember-view reader-text-block__paragraph"><strong>Don&#8217;t work in isolation</strong> just because you can. <strong>Celebrate the human connection, and build Human &amp; AI teams!</strong></p>
<h2 id="ember419" class="ember-view reader-text-block__heading-2">FAQ</h2>
<p id="ember420" class="ember-view reader-text-block__paragraph"><strong>Does using AI at work actually make teams more isolated?</strong> It can. Gallup&#8217;s 2026 State of the Global Workplace report found leaders now report more daily loneliness than the people they manage, and a separate 2026 survey by MyIQ found 74% of employees now ask AI a question they used to ask a colleague. The tool itself isn&#8217;t the problem. Leaving the shift undesigned is.</p>
<p id="ember421" class="ember-view reader-text-block__paragraph"><strong>How do you keep a hybrid or virtual team connected when everyone&#8217;s using AI differently?</strong> Make AI use a shared, visible team topic instead of a private habit. Teams that talk openly about how they&#8217;re each using AI stay more connected than teams where everyone optimizes alone.</p>
<p id="ember422" class="ember-view reader-text-block__paragraph"><strong>What is the Managers of Infinite Minds concept?</strong> <a class="IBvLOLtvTHkOlRLtZPklyicUJvcJApLKPBLkve " tabindex="0" href="https://peter-ivanov.com/keynotes/" target="_self" data-test-app-aware-link="">Peter Ivanov&#8217;s framework</a> for a leadership reality most managers haven&#8217;t caught up to yet: they&#8217;re now managing not just their people, but each person&#8217;s AI collaborators too, and the team&#8217;s real connectedness depends on making that visible.</p>
<p id="ember423" class="ember-view reader-text-block__paragraph"><strong>Do more meetings fix AI-driven team isolation?</strong> No. The fix is redesigning the rituals a team already has so they build in real connection, not adding more meetings on top of a schedule that&#8217;s already full.</p>
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<p>The post <a href="https://peter-ivanov.com/ai-teams-isolation-connection/">Why using more AI Is making Your Team more isolated and how to Build Human and AI Teams?</a> appeared first on <a href="https://peter-ivanov.com">Peter Ivanov</a>.</p>
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		<title>Manager of infinite minds</title>
		<link>https://peter-ivanov.com/manager-of-infinite-minds/</link>
		
		<dc:creator><![CDATA[Peter Ivanov]]></dc:creator>
		<pubDate>Sun, 22 Mar 2026 18:08:42 +0000</pubDate>
				<category><![CDATA[AI]]></category>
		<category><![CDATA[Human and AI Teams]]></category>
		<category><![CDATA[leadership]]></category>
		<guid isPermaLink="false">https://peter-ivanov.com/?p=3443</guid>

					<description><![CDATA[<p>The role of the manager is changing drastically in the Age of AI. Instead of managing a team and processes, it is becoming a “manager of infinite minds,” as Satya...</p>
<p>The post <a href="https://peter-ivanov.com/manager-of-infinite-minds/">Manager of infinite minds</a> appeared first on <a href="https://peter-ivanov.com">Peter Ivanov</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p id="ember886" class="ember-view reader-text-block__paragraph">The role of the manager is changing drastically in the Age of AI. Instead of managing a team and processes, it is becoming a “manager of infinite minds,” as Satya Nadella, CEO of Microsoft, describes it.</p>
<p id="ember887" class="ember-view reader-text-block__paragraph">The primary skill of any professional is no longer just execution, but orchestration.</p>
<p id="ember888" class="ember-view reader-text-block__paragraph">Here are the 3 pillars of management role in the new AI-driven economy.</p>
<div class="reader-image-block reader-image-block--resize" style="text-align: center;">
<figure class="reader-image-block__figure"><figcaption class="reader-image-block__figure-image-caption display-block full-width text-body-small-open t-sans text-align-center t-black--light"><img decoding="async" class="aligncenter wp-image-3639 size-full" src="https://peter-ivanov.com/wp-content/uploads/2026/03/Satya-Nadella.png" alt="" width="199" height="254" />Satya Nadella, CEO Microsoft</figcaption></figure>
</div>
<h3 id="ember890" class="ember-view reader-text-block__heading-3">1. Managers of Infinite Minds</h3>
<p id="ember891" class="ember-view reader-text-block__paragraph">For decades, the goal of software was to provide &#8220;information at your fingertips.&#8221; Today, that has evolved into &#8220;intelligence at your fingertips.&#8221;</p>
<p id="ember892" class="ember-view reader-text-block__paragraph">In this new paradigm, an individual’s productivity is no longer capped by their own 24 hours or cognitive bandwidth. Instead, we are entering a &#8220;multi-agent&#8221; world where autonomous AI agents handle routine tasks, research, and complex workflows. Your role as a human is to act as the conductor of this digital orchestra. This shift democratizes management; even an entry-level employee now oversees a &#8220;team&#8221; of agents, requiring them to develop leadership skills—like setting clear objectives and quality control—much earlier in their careers.</p>
<h3 id="ember893" class="ember-view reader-text-block__heading-3">2. Macro Delegate and Micro Steer</h3>
<p id="ember894" class="ember-view reader-text-block__paragraph">How do you actually manage these &#8220;infinite minds&#8221;? Nadella introduces the framework of <strong>Macro Delegation and Micro Steering</strong>.</p>
<ul>
<li><strong>Macro Delegation:</strong> This is the ability to hand off large, complex outcomes to AI. Instead of giving a step-by-step instruction, you delegate the intent (e.g., &#8220;Build a market entry strategy for this product in Southeast Asia&#8221;).</li>
<li><strong>Micro Steering:</strong> This is the &#8220;human in the loop&#8221; critical for success. AI can hallucinate or drift off-course; therefore, the human must provide constant, small course corrections. It’s the difference between &#8220;set it and forget it&#8221; and &#8220;active supervision.&#8221;</li>
</ul>
<p id="ember896" class="ember-view reader-text-block__paragraph">The productivity is now about &#8220;idea throughput.&#8221; The bottleneck is no longer how fast you can type or code, but how well you can steer the intelligence at your command to reach a refined result.</p>
<div class="reader-image-block reader-image-block--full-width">
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<div class="ivm-view-attr__img-wrapper "><img decoding="async" class="aligncenter wp-image-3635 size-large" src="https://peter-ivanov.com/wp-content/uploads/2026/03/Manager-of-Infinite-minds-Infographic-1024x799.png" alt="" width="1024" height="799" srcset="https://peter-ivanov.com/wp-content/uploads/2026/03/Manager-of-Infinite-minds-Infographic-1024x799.png 1024w, https://peter-ivanov.com/wp-content/uploads/2026/03/Manager-of-Infinite-minds-Infographic-300x234.png 300w, https://peter-ivanov.com/wp-content/uploads/2026/03/Manager-of-Infinite-minds-Infographic-768x599.png 768w, https://peter-ivanov.com/wp-content/uploads/2026/03/Manager-of-Infinite-minds-Infographic.png 1200w" sizes="(max-width: 1024px) 100vw, 1024px" /></div>
</div><figcaption class="reader-image-block__figure-image-caption display-block full-width text-body-small-open t-sans text-align-center t-black--light"></figcaption></figure>
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<h3 id="ember898" class="ember-view reader-text-block__heading-3">3. Tacit Knowledge of Your Company</h3>
<p id="ember899" class="ember-view reader-text-block__paragraph">Perhaps the most strategic insight is Nadella’s view on what constitutes a company&#8217;s &#8220;soul&#8221; in the future. He argues that the ultimate competitive advantage will be a company’s <strong>Tacit Knowledge</strong>—the unwritten, messy, and unstructured wisdom that lives in emails, Teams chats, and meeting transcripts.</p>
<p id="ember900" class="ember-view reader-text-block__paragraph">Historically, this knowledge was lost when people left or projects ended. Now, for the first time, AI can &#8220;reason&#8221; over this unstructured data. Now every firm will eventually have its own &#8220;foundation model&#8221; or &#8220;cognitive core&#8221; that encodes its unique IP and culture. The value of a company will be defined by how well it captures this tacit knowledge and turns it into a private, searchable, and actionable intelligence layer that only its employees can access.</p>
<h3 id="ember901" class="ember-view reader-text-block__heading-3">Actionable Insight for Leaders:</h3>
<p id="ember902" class="ember-view reader-text-block__paragraph"><strong>Stop hiring for &#8220;Doers&#8221; and start hiring for &#8220;Builders.&#8221; </strong></p>
<p id="ember903" class="ember-view reader-text-block__paragraph">The traditional silos between &#8220;Product,&#8221; &#8220;Design,&#8221; and &#8220;Engineering&#8221; are collapsing into a single role Nadella calls the Full-Stack Builder. As a leader, your priority should be to <strong>reorganize your teams around outcomes rather than functions</strong>. Empower your employees to treat AI not as a search engine, but as a staff of interns. Encourage them to &#8220;micro-steer&#8221; , set its goals and build an create new things daily!</p>
<p>The post <a href="https://peter-ivanov.com/manager-of-infinite-minds/">Manager of infinite minds</a> appeared first on <a href="https://peter-ivanov.com">Peter Ivanov</a>.</p>
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