{"id":20631,"date":"2025-09-09T04:10:30","date_gmt":"2025-09-09T04:10:30","guid":{"rendered":"https:\/\/uxmag.com\/?p=20631"},"modified":"2025-09-09T04:10:32","modified_gmt":"2025-09-09T04:10:32","slug":"random-acts-of-intelligence","status":"publish","type":"post","link":"https:\/\/uxmag.com\/articles\/random-acts-of-intelligence","title":{"rendered":"Random Acts of Intelligence"},"content":{"rendered":"\n<p>How a &#8220;Hammer Mentality&#8221; Undermines AI&#8217;s promise and purpose.<\/p>\n\n\n\n<p>In the summer of 2024, I was hired as a UX\/AI strategist at a Fortune 150 pharmaceutical company to help them move beyond random AI experiments toward something more intentional. During my presentation to senior leadership, I explained how we could and should build toward \u2018Organizational AGI\u2019 \u2014 AI systems that have the general intelligence to understand a user\u2019s specific context, culture, and goals.<\/p>\n\n\n\n<p>A VP interrupted me mid-sentence.<\/p>\n\n\n\n<p>&#8220;AGI is not going to happen in our lifetime. AI is just a hammer looking for a nail.&#8221;<\/p>\n\n\n\n<p>That dismissive comment wasn&#8217;t just wrong, it was revealing. He&#8217;d diagnosed our industry&#8217;s dominant and misguided approach: building impressive tools without understanding what we&#8217;re actually trying to construct. What he saw as a &#8220;hammer&#8221; is more like concentrated potential \u2014 a tool that is capable of becoming whatever we&#8217;re wise enough to make it.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Seven patterns and the orchestration gap<\/h2>\n\n\n\n<p><a href=\"https:\/\/www.pmi.org\/blog\/seven-patterns-of-ai\" target=\"_blank\" rel=\"noreferrer noopener\">The Project Management Institute identifies 7 distinct patterns of AI<\/a>: hyper-personalization, autonomous systems, predictive analytics and decisions, conversation\/human interactions, patterns and anomalies, recognition, and goal-driven systems. For years, these existed in isolation \u2014 recommendation engines here, image recognition there, predictive analytics elsewhere.<\/p>\n\n\n\n<p>Then ChatGPT changed everything. Suddenly, the conversational pattern could be layered on top of all the others, creating unprecedented possibilities for integration\u2013and equal potential for fragmentation. Conversation now promises to unify capabilities even as it risks scattering their impact when deployed without systemic intent.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Key evidence of our struggle:<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>80% AI failure rate<\/li>\n\n\n\n<li>70% failures trace to people\/process gaps<\/li>\n\n\n\n<li>42% of initiatives scrapped mid-flight<\/li>\n<\/ul>\n\n\n\n<p>But here&#8217;s what&#8217;s crucial to understand: <strong>this chaos is both predictable and necessary<\/strong>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The natural evolution pattern<\/h2>\n\n\n\n<p>Every transformative technology follows a similar arc. What Gartner calls the &#8220;hype cycle&#8221; \u2014 and what we&#8217;re experiencing now with AI \u2014 has predictable phases:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>Phase<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\"><strong>Characteristics<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\"><strong>AI Example<\/strong><\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>Emergence<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\">New capabilities appear<\/td><td class=\"has-text-align-center\" data-align=\"center\">GPT-3 demonstrations<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>Experimentation<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\">Widespread tinkering<\/td><td class=\"has-text-align-center\" data-align=\"center\">Current ChatGPT integration attempts<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>Disillusionment<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\">Reality doesn&#8217;t match hype<\/td><td class=\"has-text-align-center\" data-align=\"center\">80% failure rates<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>Enlightenment<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\">Best practices emerge<\/td><td class=\"has-text-align-center\" data-align=\"center\">\u2190We are here<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>Productivity<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\">Systematic implementation<\/td><td class=\"has-text-align-center\" data-align=\"center\">The goal \u2026 Organizational AGI<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>The scattered experimentation we&#8217;re witnessing isn&#8217;t a failure \u2014 it&#8217;s how organizations learn. The problem isn&#8217;t the tinkering; it&#8217;s the lack of systematic thinking about what we&#8217;re trying to build. ChatGPT&#8217;s breakthrough revealed our failure to thoughtfully orchestrate the 7 established patterns. Instead of designed integration, we got random acts of intelligence.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Turing&#8217;s systematic vision<\/h2>\n\n\n\n<p>This is where history offers crucial guidance. Alan Turing, the pioneering computer scientist who broke Nazi codes during World War II and conceived the Turing Test \u2014 imagined his thinking machine before the computers needed to run it even existed. His compass? <strong>Crossword puzzles<\/strong> \u2014 those devilish tests of linguistic nuance, cultural references, and contextual understanding.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Turing&#8217;s systematic framework:<\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Define the outcome<\/strong> (machines that think via language)<\/li>\n\n\n\n<li><strong>Design evaluation methods<\/strong> (the Turing Test)<\/li>\n\n\n\n<li><strong>Engineer solutions<\/strong><\/li>\n<\/ol>\n\n\n\n<p>His vision for machine intelligence was fundamentally about creating systems that could comprehend and work with language the way humans do \u2014 remarkably prescient now that conversational AI has become the breakthrough transforming how we interact with all other AI capabilities.<\/p>\n\n\n\n<p>We&#8217;ve inverted his process. Like chefs obsessing over knives while forgetting recipes, we ask &#8220;What can this AI cut?&#8221; before &#8220;What nourishment should we create?&#8221;<\/p>\n\n\n\n<p>The seven AI patterns already exist and are well-established. The breakthrough isn&#8217;t new capabilities emerging \u2014 it&#8217;s learning how to systematically orchestrate these existing patterns into coherent systems that serve designed outcomes.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Babel&#8217;s digital rebirth<\/h2>\n\n\n\n<p>Systematic orchestration with agentic AI faces a fundamental challenge that the Tower of Babel story illustrates perfectly. The Biblical tower failed due to communication errors, not engineering failure. <strong>Today&#8217;s digital Babel manifests<\/strong> when we underestimate the complexity of human communication itself:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Healthcare chatbots<\/strong> missing vocal urgency in patient messages.<\/li>\n\n\n\n<li><strong>Recommendation engines<\/strong> violating cultural dietary codes.<\/li>\n\n\n\n<li><strong>HR bots<\/strong> misreading resignation subtext as engagement.<\/li>\n\n\n\n<li><strong>Customer service AI<\/strong> escalating frustrated users instead of de-escalating.<\/li>\n<\/ul>\n\n\n\n<p><strong>The data reveals why:<\/strong> In high-stakes communication, words convey just <strong>7% of meaning<\/strong>. Tone (38%) and body language (55%) carry the rest (<a href=\"https:\/\/psycnet.apa.org\/record\/1973-11170-001\" target=\"_blank\" rel=\"noreferrer noopener\">Mehrabian, 1971<\/a>). Yet we deploy AI agents as if text alone can capture human communication complexity.<\/p>\n\n\n\n<p>Large language models offer powerful tools for bridging communication gaps, connecting back to Turing&#8217;s original fascination with language understanding. But <strong>the orchestration challenge<\/strong> is designing systems that account for the full spectrum of human meaning-making, not just the 7% that&#8217;s easiest to digitize.<\/p>\n\n\n\n<p>This is where random experimentation becomes insufficient. We need <strong>systematic approaches<\/strong> that preserve context, understand nuance, and integrate multiple AI patterns thoughtfully.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Designing the invisible orchestra<\/h2>\n\n\n\n<p>Robb Wilson and Josh Tyson\u2019s book <em>&#8220;<a href=\"https:\/\/www.invisiblemachines.ai\/\" target=\"_blank\" rel=\"noreferrer noopener\">Age of Invisible Machines<\/a>,&#8221;<\/em> which was released before ChatGPT made its entrance into our common consciousness, paints a systematic picture of what AI orchestration looks like. Rather than showcasing individual capabilities, their book focuses on orchestration ecosystems where multiple AI agents work together seamlessly to create experiences so well-integrated that the technology becomes invisible.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Here are the principles they lay out for moving beyond random acts:<\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Outcomes Before Outputs<\/strong>: define the problem you are trying to solve first (e.g., &#8216;reduce patient anxiety&#8217;, not &#8216;build chatbot&#8217;).<\/li>\n\n\n\n<li><strong>Context Preservation<\/strong>: design systems that remember across interactions (How did the user really feel last time?).<\/li>\n\n\n\n<li><strong>Ethical Emergence<\/strong>: don\u2019t just test whether a solution works or not; ask if it is somehow improving outcomes for humans.<\/li>\n<\/ol>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>Approach<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\"><strong>Random Acts<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\"><strong>Orchestrated Systems<\/strong><\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>Starting Point<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\">&#8220;What can AI do?&#8221;<\/td><td class=\"has-text-align-center\" data-align=\"center\">&#8220;What experience should this enable?&#8221;<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>Context<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\">Isolated interactions<\/td><td class=\"has-text-align-center\" data-align=\"center\">Preserved meaning across touchpoints<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>Integration<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\">Standalone features<\/td><td class=\"has-text-align-center\" data-align=\"center\">AI patterns enhancing human workflows<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\"><strong>Learning<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\">Technical metrics<\/td><td class=\"has-text-align-center\" data-align=\"center\">Human outcome measurement<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>This represents the <strong>systematic thinking<\/strong> that emerges as technologies mature \u2014 moving from capability-driven development to purpose-driven design.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The conductor&#8217;s baton<\/h2>\n\n\n\n<p>The VP at the pharmaceutical company I left wasn&#8217;t wrong about tools \u2014 he just missed the symphony. When we trade hammers for conductor&#8217;s batons, <strong>the 7 patterns transform<\/strong>:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Predictive analytics<\/strong> \u2192 Foresight that prevents crises<\/li>\n\n\n\n<li><strong>Chatbots<\/strong> \u2192 Conversational de-escalators<\/li>\n\n\n\n<li><strong>Goal-driven systems<\/strong> \u2192 Ethical co-pilots<\/li>\n\n\n\n<li><strong>Recognition systems<\/strong> \u2192 Context-aware interpreters<\/li>\n<\/ul>\n\n\n\n<p>This isn&#8217;t about new tools \u2014 it&#8217;s about <strong>intentional orchestration<\/strong> of existing capabilities into systems that enhance rather than fragment human experience.<\/p>\n\n\n\n<p><strong>We&#8217;re approaching a transition point.<\/strong> The trough of disillusionment will eventually give way to what Gartner calls the &#8220;slope of enlightenment,&#8221; where best practices emerge and systematic implementation becomes possible.<\/p>\n\n\n\n<p>The ambition of the Tower of Babel ultimately ran aground because people couldn\u2019t coordinate. We&#8217;re building something similar with AI, but we have both <strong>Turing&#8217;s systematic sequence <\/strong>and the <strong>orchestration vision <\/strong>of trailblazers <strong>like OneReach <\/strong>to help us navigate. The question isn&#8217;t whether AI will transform the human experience \u2014 it already is. The question is whether we&#8217;ll approach that transformation with the <strong>intentionality <\/strong>and wisdom to meet the challenge.<\/p>\n\n\n\n<p><em>Featured image courtesy: <a href=\"https:\/\/www.linkedin.com\/in\/yvesbinda\/\" target=\"_blank\" rel=\"noreferrer noopener\">Yves Binda<\/a>.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>How a &#8220;Hammer Mentality&#8221; Undermines AI&#8217;s promise and purpose. In the summer of 2024, I was hired as a UX\/AI strategist at a Fortune 150 pharmaceutical company to help them move beyond random AI experiments toward something more intentional. During my presentation to senior leadership, I explained how we could and should build toward \u2018Organizational<\/p>\n","protected":false},"author":2670,"featured_media":20634,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"","footnotes":""},"categories":[1],"tags":[],"topics":[3183,3307,3331,3382,14,3313,3218,3294,3330],"class_list":{"0":"post-20631","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-uncategorized","8":"topics-agi","9":"topics-ai-in-ux","10":"topics-ai-orchestration","11":"topics-ai-strategy","12":"topics-artificial-intelligence","13":"topics-conversational-ai","14":"topics-digital-transformation","15":"topics-human-centered-design","16":"topics-organizational-ai","17":"entry"},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v18.2.1 (Yoast SEO v25.9) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Random Acts of Intelligence - UX Magazine<\/title>\n<meta name=\"description\" content=\"AI isn\u2019t failing because of weak technology \u2014 it\u2019s failing because we treat it like a hammer looking for nails. 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