{"id":989,"date":"2026-08-25T06:10:06","date_gmt":"2026-08-25T06:10:06","guid":{"rendered":"https:\/\/pharma-talks.com\/?post_type=episode&#038;p=989"},"modified":"2026-09-08T08:40:00","modified_gmt":"2026-09-08T08:40:00","slug":"podcasts-agentic-ai-in-pharma","status":"publish","type":"episode","link":"https:\/\/pharma-talks.com\/episodes\/podcasts-agentic-ai-in-pharma\/","title":{"rendered":"Agentic AI Doesn&#8217;t Answer Questions \u2014 It Takes Action\u00a0"},"content":{"rendered":"\n<div style=\"height:200px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n<style id=\"pharmatalks-content-section-style\">.pt-content-section{background:var(--pt-content-section-bg,transparent);color:var(--pt-content-section-text,var(--color-text));padding:var(--pt-content-section-padding-top,32px) var(--pt-content-section-padding-x,0) var(--pt-content-section-padding-bottom,32px)}.pt-content-section 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var(--pt-content-section-mobile-container-padding-bottom,var(--pt-content-section-container-padding-bottom,0))}}<\/style>\n<section class=\"wp-block-pharmatalks-content-section pt-content-section\" style=\"color:#082480;--pt-content-section-padding-top:32px;--pt-content-section-padding-bottom:32px;--pt-content-section-mobile-padding-top:16px;--pt-content-section-container-max-width:1240px;--pt-content-section-container-padding-top:0px;--pt-content-section-container-padding-bottom:0px\"><div class=\"container\">\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/pharma-talks.com\/wp-content\/uploads\/2026\/08\/pharma-talks-agentic-takes-action-1240x675-rounded-2.png\" alt=\"\" class=\"wp-image-1082\" width=\"1240\" height=\"675\" srcset=\"https:\/\/pharma-talks.com\/wp-content\/uploads\/2026\/08\/pharma-talks-agentic-takes-action-1240x675-rounded-2.png 1240w, 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style=\"color:#082480;--pt-episode-player-padding-top:0px;--pt-episode-player-padding-bottom:0px\"><div class=\"pt-episode-player__inner\"><div class=\"pt-episode-player__media\"><img decoding=\"async\" src=\"https:\/\/pharma-talks.com\/wp-content\/uploads\/2026\/02\/pt-logo-1.webp\" alt=\"Don\u2019t miss a new episode\" loading=\"lazy\"\/><\/div><div class=\"pt-episode-player__content\"><p class=\"pt-episode-player__subtitle\">Agentic AI Doesn&#8217;t Answer Questions \u2014 It Takes Action\u00a0\u00a0<\/p><h3 class=\"pt-episode-player__title\">Don\u2019t miss a new episode<\/h3><div class=\"pt-episode-player__controls\"><button type=\"button\" class=\"pt-episode-player__play\" aria-label=\"Play\" aria-pressed=\"false\"><span class=\"pt-episode-player__play-icon\" aria-hidden=\"true\"><\/span><\/button><div class=\"pt-episode-player__panel\"><div class=\"pt-episode-player__timeline\"><input type=\"range\" class=\"pt-episode-player__progress\" min=\"0\" max=\"100\" step=\"0.1\" defaultvalue=\"0\" aria-label=\"Seek\"\/><\/div><div class=\"pt-episode-player__bottom\"><div class=\"pt-episode-player__actions\"><button type=\"button\" class=\"pt-episode-player__speed pt-episode-player__speed--down\" data-speed=\"down\" aria-label=\"Slow down\"><span class=\"pt-episode-player__speed-icon\" aria-hidden=\"true\"><\/span><\/button><span class=\"pt-episode-player__speed-display\">1X<\/span><button type=\"button\" class=\"pt-episode-player__speed pt-episode-player__speed--up\" data-speed=\"up\" aria-label=\"Speed up\"><span class=\"pt-episode-player__speed-icon\" aria-hidden=\"true\"><\/span><\/button><div class=\"pt-episode-player__volume\"><button type=\"button\" class=\"pt-episode-player__volume-toggle\" aria-label=\"Mute\" aria-pressed=\"false\"><span class=\"pt-episode-player__volume-icon\" aria-hidden=\"true\"><\/span><\/button><input type=\"range\" class=\"pt-episode-player__volume-range\" min=\"0\" max=\"1\" step=\"0.01\" defaultvalue=\"1\" aria-label=\"Volume\"\/><\/div><\/div><div class=\"pt-episode-player__time\"><span class=\"pt-episode-player__current\">0:00<\/span><span class=\"pt-episode-player__divider\">\/<\/span><span class=\"pt-episode-player__duration\">&#8211;:&#8211;<\/span><\/div><\/div><\/div><\/div><div class=\"pt-episode-player__links\"><a class=\"pt-episode-player__link\" href=\"#subscribe\" rel=\"noopener noreferrer\">Subscribe<\/a><\/div><audio class=\"pt-episode-player__audio\" src=\"https:\/\/pharma-talks.com\/wp-content\/uploads\/2026\/09\/fixed_Agentic-AI-in-Pharma_-Are-We-Ready-for-AI-That-Acts_-l-Pharma-Talks-with-Nataliya-Andreychuk.mp3\"><\/audio><\/div><\/div><\/section>\n<\/div><\/section>\n\n\n\n<section class=\"wp-block-pharmatalks-content-section pt-content-section\" style=\"color:#082480;--pt-content-section-padding-top:32px;--pt-content-section-padding-bottom:32px;--pt-content-section-mobile-padding-x:20px;--pt-content-section-container-max-width:1200px;--pt-content-section-container-padding-top:20px;--pt-content-section-container-padding-bottom:20px;--pt-content-section-container-padding-x:20px\"><div class=\"container\" style=\"border-radius:20px;overflow:hidden;background-color:#ffffff\">\n<p class=\"wp-block-paragraph\">Generative AI produced better output. Agentic AI owns workflows and makes decisions inside them, which is a different governance problem entirely.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In this episode of Pharma Talks, Nataliya Andreychuk spoke with Michal Dojlidko, who has watched agentic systems move from concept to deployment inside pharma with a focus on running them safely at scale.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>The Category Shift<\/strong>&nbsp;<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Michal describes the last few years as breakthroughs arriving every few weeks. Generative AI began as a chat experience \u2014 drafting content, generating images, answering questions.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">We moved from answering questions to AI being autonomous, taking care of processes and orchestrating workflows behind the scenes, from answering questions to taking action.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">What that changes for pharma teams is the object of management. Output quality was the concern. Now it&#8217;s which workflows an agent owns and which decisions it&#8217;s permitted to make alone.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Treat It Like Workforce<\/strong>&nbsp;<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Nataliya asked whether that means thinking about agents in terms of KPIs \u2014 as a role rather than a tool. Michal took the analogy further:&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">We could, and should, treat an AI agent like a regular workforce. Just like we have a development plan and objectives for employees, we need the same thing for AI: clear goals and boundaries. AI performs well when it has clear guardrails and objectives.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">His larger point is about ambition. The instinct is to use agents to fine-tune how things already get done. He argues that wastes the capability \u2014 the opportunity is redesigning the workflow, not accelerating the existing one.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Trust Rests on Two Things<\/strong>&nbsp;<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Nataliya raised the &#8220;magic wand&#8221; framing that many partners still bring to AI, which works directly against the trust the systems require. At enterprise scale that question compounds quickly.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Michal&#8217;s first non-negotiable:&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">When we set up AI for an agentic landscape, we have to make sure it has full traceability and auditability, and is compliant with all the regulations. That&#8217;s a guardrail we cannot breach.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The second, which he treats as the actual prerequisite:&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Think of AI like a fast train. You cannot deploy a fast train on broken tracks \u2014 it won&#8217;t move fast. You have to sort the data first. Once you do that, AI and AI agents will work much more effectively on top of it.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Upskilling as a Process, Not an Event<\/strong>&nbsp;<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Nataliya named the human obstacle: literacy. People can&#8217;t trust what they don&#8217;t understand, and part of the resistance is personal \u2014 the worry about being replaced by the system you&#8217;re being asked to adopt.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">We need to make sure people are upskilled \u2014 not as a one-time, big-bang event, but continuously. AI evolves so fast that learning has to be an ongoing process.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">He also warns against concentrating AI expertise in one team, which turns that team into a bottleneck. A central function can set standards \u2014 security, compliance, organizational approach \u2014 but everyone needs enough fluency to work with the tools and enough autonomy to make justified decisions inside safe boundaries.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>The Scenario Marketers Describe<\/strong>&nbsp;<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Nataliya relayed a vision from the Reuters Pharma US Forum: a marketer talking to an agent that understands intent, pulls current developments, builds segmentation, designs journeys per persona, and presents it back.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Michal&#8217;s response is that it already exists \u2014 just not at enterprise scale. The pattern he points to is a brand manager with a dedicated agent per digital campaign, and an orchestrator above them keeping campaigns aligned with each other and with the company&#8217;s overall message.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The technology isn&#8217;t the constraint. Introducing it securely into a corporate pharma environment is.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Guardrails Against Miscommunication<\/strong>&nbsp;<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Nataliya pressed on &#8220;securely.&#8221; Speed and capability are both available; pharma handles information that reaches patients, which raises the stakes past what most industries face.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Michal&#8217;s answer has two parts. The technical one is an agent-as-judge model, where one agent evaluates another&#8217;s output. The one he considers essential:&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Especially in highly regulated industries like pharma, we need a human in the loop. Imagine handing MLR review entirely to AI \u2014 that&#8217;s probably not the smartest idea. With humans holding the control button, the risk drops dramatically.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>What&#8217;s Left for People<\/strong>&nbsp;<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">If agents are judging agents and absorbing operational work, Nataliya asked what remains \u2014 strategic decision-makers, or helpers to the system?&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The dust hasn&#8217;t settled yet. If you thought there&#8217;d be less work, I don&#8217;t think that&#8217;s true. The volume of what&#8217;s happening in the world is only getting larger. Humans are still driving and setting the strategy and the goals \u2014 we need to make sure our AI companions are following the path we set.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">His expectation is that repetitive, low-value work shifts to agents, which moves people toward creative and strategic work. That&#8217;s where the human advantage holds, at least for now.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Hot or Not<\/strong>&nbsp;<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Agentic AI is a bigger shift than GenAI ever was<\/strong> \u2014 Hot. &#8220;We moved from asking questions to autonomous action. That&#8217;s a different category of change.&#8221;&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Most pharma companies aren&#8217;t ready for this yet<\/strong> \u2014 Not. &#8220;The gap isn&#8217;t really readiness \u2014 it&#8217;s trust in our own people. Teams are already experimenting and keen to bring AI in.&#8221;&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Pharma&#8217;s regulatory culture is an asset, not a barrier, for governing AI<\/strong> \u2014 Hot. &#8220;We have a real advantage here: years of experience setting proper guardrails. Less-regulated industries haven&#8217;t had to build that muscle.&#8221;&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Companies that win invested in a data foundation three years ago<\/strong> \u2014 Hot. &#8220;We put a lot of focus on picking the right model and forget that even the best model needs the right foundation underneath it.&#8221;&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Human oversight in regulated industries is non-negotiable<\/strong> \u2014 Hot. &#8220;We don&#8217;t really have a choice \u2014 regulation requires a human in the loop, and that&#8217;s not up for debate.&#8221;&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>The biggest risk is moving too slowly, not too fast<\/strong> \u2014 50\/50. The pace demands the courage to move, but moving without security baked in carries more risk than the upside justifies.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Final Words<\/strong>&nbsp;<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The throughline is that agentic AI isn&#8217;t a faster GenAI. It&#8217;s a system that acts rather than answers, which means it has to be governed differently \u2014 clear objectives and boundaries, a data foundation in place before scaling, human oversight built into the regulated steps, and continuous upskilling so the people using it aren&#8217;t outpaced by it.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Michal&#8217;s priority is making sure teams have the skills to use what these systems can actually do. Nataliya&#8217;s addition: that means treating learning and change management with the same seriousness pharma already applies to compliance.&nbsp;<\/p>\n<\/div><\/section>\n\n\n<section class=\"pt-related-episodes\" style=\"--pt-related-bg:#264cb8;color:#082480;--pt-related-title-color:#eff2ef;--pt-related-padding-top:50px;--pt-related-padding-bottom:60px;--pt-related-padding-x:0px\">\n            <div class=\"container\">\n                        <div class=\"pt-related-episodes__header\">\n                <h2 class=\"pt-related-episodes__title\">Our Latest Pharma Talk Episodes<\/h2>\n            <\/div>\n                <div class=\"pt-related-episodes__grid\">\n                                        <article class=\"pt-episode-card\">\n                    <a class=\"pt-episode-card__image\" href=\"https:\/\/pharma-talks.com\/episodes\/podcasts-medical-affairs-leadership\/\">\n                                                    <img width=\"371\" height=\"209\" 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9.66333 15.5057 9.68777 15.5024C9.72022 15.4979 9.82562 15.4933 9.95074 15.5601C10.0775 15.6278 10.1348 15.7209 10.1513 15.7559C10.1634 15.7818 10.146 15.758 10.1396 15.6496L9.14134 15.709ZM10.2651 16.3323L10.8382 17.1517L15.9475 13.5783L15.3744 12.7588L14.8012 11.9394L9.69195 15.5128L10.2651 16.3323Z\" fill=\"#EFF2EF\"\/><\/svg><span class=\"pt-episode-card__listen-text\">Listen Now!<\/span><\/a><\/div><\/div>                    <\/div>\n                <\/article>\n                                        <article class=\"pt-episode-card\">\n                    <a class=\"pt-episode-card__image\" href=\"https:\/\/pharma-talks.com\/episodes\/ai-in-pharma-communication\/\">\n                                                    <img width=\"371\" height=\"209\" src=\"https:\/\/pharma-talks.com\/wp-content\/uploads\/2026\/05\/Pharma-Talks-AI-and-Asia-What-Pharma-Marketers-Need-to-Hear-Right-Now-2-371x209.png\" class=\"attachment-pharmatalks-related-card size-pharmatalks-related-card\" alt=\"\" loading=\"lazy\" decoding=\"async\" sizes=\"auto, (max-width: 640px) 100vw, (max-width: 1024px) 50vw, 371px\" srcset=\"https:\/\/pharma-talks.com\/wp-content\/uploads\/2026\/05\/Pharma-Talks-AI-and-Asia-What-Pharma-Marketers-Need-to-Hear-Right-Now-2-371x209.png 371w, https:\/\/pharma-talks.com\/wp-content\/uploads\/2026\/05\/Pharma-Talks-AI-and-Asia-What-Pharma-Marketers-Need-to-Hear-Right-Now-2-300x169.png 300w, https:\/\/pharma-talks.com\/wp-content\/uploads\/2026\/05\/Pharma-Talks-AI-and-Asia-What-Pharma-Marketers-Need-to-Hear-Right-Now-2-1024x576.png 1024w, https:\/\/pharma-talks.com\/wp-content\/uploads\/2026\/05\/Pharma-Talks-AI-and-Asia-What-Pharma-Marketers-Need-to-Hear-Right-Now-2-768x432.png 768w, https:\/\/pharma-talks.com\/wp-content\/uploads\/2026\/05\/Pharma-Talks-AI-and-Asia-What-Pharma-Marketers-Need-to-Hear-Right-Now-2-1536x864.png 1536w, https:\/\/pharma-talks.com\/wp-content\/uploads\/2026\/05\/Pharma-Talks-AI-and-Asia-What-Pharma-Marketers-Need-to-Hear-Right-Now-2-2048x1152.png 2048w\" \/>                                            <\/a>\n                    <div class=\"pt-episode-card__body\">\n                        <p class=\"pt-episode-card__meta\">May 29, 2026<span class=\"pt-episode-card__duration\">12 min read<\/span><\/p>\n                        <h4 class=\"pt-episode-card__title\">\n                            <a href=\"https:\/\/pharma-talks.com\/episodes\/ai-in-pharma-communication\/\">Why Western Campaign Logic Breaks in Asian Markets\u00a0<\/a>\n                        <\/h4>\n                        <div class=\"pt-episode-card__detail\"><p class=\"pt-episode-card__guest-label\">Guest<\/p><p class=\"pt-episode-card__guest-name\">Gwenael Meneux, Bruno Senouci<\/p><div class=\"pt-episode-card__guest-meta\"><p class=\"pt-episode-card__guest-meta-position\">CO-CEO, CO-CEO<\/p><p class=\"pt-episode-card__guest-meta-company\">drcom<\/p><\/div><div class=\"pt-episode-card__actions\"><a class=\"pt-episode-card__listen\" href=\"https:\/\/pharma-talks.com\/episodes\/ai-in-pharma-communication\/\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"pt-episode-card__play-icon\" width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M15.3744 12.7588L14.8288 11.9208L14.8148 11.9298L14.8012 11.9394L15.3744 12.7588ZM15.3744 11.4687L14.7814 12.2739L14.826 12.3068L14.874 12.3345L15.3744 11.4687ZM10.2037 7.66122L10.7966 6.85597L10.7684 6.8352L10.7388 6.81644L10.2037 7.66122ZM9.11966 8.22991L10.1197 8.22701L10.1196 8.21826L10.1194 8.2095L9.11966 8.22991ZM9.14134 15.709L8.14134 15.7119L8.14142 15.7402L8.14311 15.7684L9.14134 15.709ZM10.2651 16.3323L10.7493 17.2072L10.7952 17.1818L10.8382 17.1517L10.2651 16.3323ZM12 21V20C7.58172 20 4 16.4183 4 12H3H2C2 17.5228 6.47715 22 12 22V21ZM21 12H20C20 16.4183 16.4183 20 12 20V21V22C17.5228 22 22 17.5228 22 12H21ZM12 3V4C16.4183 4 20 7.58172 20 12H21H22C22 6.47715 17.5228 2 12 2V3ZM12 3V2C6.47715 2 2 6.47715 2 12H3H4C4 7.58172 7.58172 4 12 4V3ZM15.3744 12.7588L15.9199 13.5969C16.3323 13.3285 16.8704 12.8393 16.8694 12.0938C16.8683 11.3258 16.3021 10.8499 15.8747 10.6029L15.3744 11.4687L14.874 12.3345C14.9677 12.3886 14.9787 12.4133 14.9586 12.3878C14.9315 12.3532 14.8696 12.2512 14.8694 12.0965C14.8692 11.9454 14.928 11.8534 14.9423 11.8342C14.952 11.821 14.9295 11.8552 14.8288 11.9208L15.3744 12.7588ZM15.3744 11.4687L15.9673 10.6634L10.7966 6.85597L10.2037 7.66122L9.61072 8.46646L14.7814 12.2739L15.3744 11.4687ZM10.2037 7.66122L10.7388 6.81644C10.286 6.52965 9.64347 6.36117 9.03218 6.6466C8.36565 6.95781 8.10714 7.62689 8.11987 8.25032L9.11966 8.22991L10.1194 8.2095C10.1185 8.16275 10.1285 8.19137 10.0938 8.25775C10.0552 8.33159 9.98183 8.41046 9.87832 8.45879C9.67864 8.55202 9.5853 8.45326 9.66854 8.50599L10.2037 7.66122ZM9.11966 8.22991L8.11966 8.23281L8.14134 15.7119L9.14134 15.709L10.1413 15.7061L10.1197 8.22701L9.11966 8.22991ZM9.14134 15.709L8.14311 15.7684C8.17339 16.2771 8.35111 16.9731 9.00854 17.3242C9.65564 17.6698 10.3249 17.4421 10.7493 17.2072L10.2651 16.3323L9.78087 15.4573C9.69245 15.5063 9.66333 15.5057 9.68777 15.5024C9.72022 15.4979 9.82562 15.4933 9.95074 15.5601C10.0775 15.6278 10.1348 15.7209 10.1513 15.7559C10.1634 15.7818 10.146 15.758 10.1396 15.6496L9.14134 15.709ZM10.2651 16.3323L10.8382 17.1517L15.9475 13.5783L15.3744 12.7588L14.8012 11.9394L9.69195 15.5128L10.2651 16.3323Z\" fill=\"#EFF2EF\"\/><\/svg><span class=\"pt-episode-card__listen-text\">Listen Now!<\/span><\/a><\/div><\/div>                    <\/div>\n                <\/article>\n                                        <article class=\"pt-episode-card\">\n                    <a class=\"pt-episode-card__image\" href=\"https:\/\/pharma-talks.com\/episodes\/future-of-pharma-content\/\">\n                                                    <img width=\"371\" height=\"209\" src=\"https:\/\/pharma-talks.com\/wp-content\/uploads\/2026\/05\/Pharma-Content-AI_-Whats-Next_-_-Pharma-Talks-1-371x209.png\" class=\"attachment-pharmatalks-related-card size-pharmatalks-related-card\" alt=\"\" loading=\"lazy\" decoding=\"async\" sizes=\"auto, (max-width: 640px) 100vw, (max-width: 1024px) 50vw, 371px\" srcset=\"https:\/\/pharma-talks.com\/wp-content\/uploads\/2026\/05\/Pharma-Content-AI_-Whats-Next_-_-Pharma-Talks-1-371x209.png 371w, https:\/\/pharma-talks.com\/wp-content\/uploads\/2026\/05\/Pharma-Content-AI_-Whats-Next_-_-Pharma-Talks-1-300x169.png 300w, https:\/\/pharma-talks.com\/wp-content\/uploads\/2026\/05\/Pharma-Content-AI_-Whats-Next_-_-Pharma-Talks-1-1024x576.png 1024w, https:\/\/pharma-talks.com\/wp-content\/uploads\/2026\/05\/Pharma-Content-AI_-Whats-Next_-_-Pharma-Talks-1-768x432.png 768w, https:\/\/pharma-talks.com\/wp-content\/uploads\/2026\/05\/Pharma-Content-AI_-Whats-Next_-_-Pharma-Talks-1-1536x864.png 1536w, https:\/\/pharma-talks.com\/wp-content\/uploads\/2026\/05\/Pharma-Content-AI_-Whats-Next_-_-Pharma-Talks-1-2048x1152.png 2048w\" \/>                                            <\/a>\n                    <div class=\"pt-episode-card__body\">\n                        <p class=\"pt-episode-card__meta\">May 21, 2026<span class=\"pt-episode-card__duration\">8 min read<\/span><\/p>\n                        <h4 class=\"pt-episode-card__title\">\n                            <a href=\"https:\/\/pharma-talks.com\/episodes\/future-of-pharma-content\/\">Relevance, Not Volume: Tim Pantello on Pharma Content\u00a0<\/a>\n                        <\/h4>\n                        <div class=\"pt-episode-card__detail\"><p class=\"pt-episode-card__guest-label\">Guest<\/p><p class=\"pt-episode-card__guest-name\">Tim Pantello<\/p><div class=\"pt-episode-card__guest-meta\"><p class=\"pt-episode-card__guest-meta-position\">Chief Executive Officer<\/p><p class=\"pt-episode-card__guest-meta-company\">Relevate Health<\/p><\/div><div class=\"pt-episode-card__actions\"><a class=\"pt-episode-card__listen\" href=\"https:\/\/pharma-talks.com\/episodes\/future-of-pharma-content\/\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"pt-episode-card__play-icon\" width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M15.3744 12.7588L14.8288 11.9208L14.8148 11.9298L14.8012 11.9394L15.3744 12.7588ZM15.3744 11.4687L14.7814 12.2739L14.826 12.3068L14.874 12.3345L15.3744 11.4687ZM10.2037 7.66122L10.7966 6.85597L10.7684 6.8352L10.7388 6.81644L10.2037 7.66122ZM9.11966 8.22991L10.1197 8.22701L10.1196 8.21826L10.1194 8.2095L9.11966 8.22991ZM9.14134 15.709L8.14134 15.7119L8.14142 15.7402L8.14311 15.7684L9.14134 15.709ZM10.2651 16.3323L10.7493 17.2072L10.7952 17.1818L10.8382 17.1517L10.2651 16.3323ZM12 21V20C7.58172 20 4 16.4183 4 12H3H2C2 17.5228 6.47715 22 12 22V21ZM21 12H20C20 16.4183 16.4183 20 12 20V21V22C17.5228 22 22 17.5228 22 12H21ZM12 3V4C16.4183 4 20 7.58172 20 12H21H22C22 6.47715 17.5228 2 12 2V3ZM12 3V2C6.47715 2 2 6.47715 2 12H3H4C4 7.58172 7.58172 4 12 4V3ZM15.3744 12.7588L15.9199 13.5969C16.3323 13.3285 16.8704 12.8393 16.8694 12.0938C16.8683 11.3258 16.3021 10.8499 15.8747 10.6029L15.3744 11.4687L14.874 12.3345C14.9677 12.3886 14.9787 12.4133 14.9586 12.3878C14.9315 12.3532 14.8696 12.2512 14.8694 12.0965C14.8692 11.9454 14.928 11.8534 14.9423 11.8342C14.952 11.821 14.9295 11.8552 14.8288 11.9208L15.3744 12.7588ZM15.3744 11.4687L15.9673 10.6634L10.7966 6.85597L10.2037 7.66122L9.61072 8.46646L14.7814 12.2739L15.3744 11.4687ZM10.2037 7.66122L10.7388 6.81644C10.286 6.52965 9.64347 6.36117 9.03218 6.6466C8.36565 6.95781 8.10714 7.62689 8.11987 8.25032L9.11966 8.22991L10.1194 8.2095C10.1185 8.16275 10.1285 8.19137 10.0938 8.25775C10.0552 8.33159 9.98183 8.41046 9.87832 8.45879C9.67864 8.55202 9.5853 8.45326 9.66854 8.50599L10.2037 7.66122ZM9.11966 8.22991L8.11966 8.23281L8.14134 15.7119L9.14134 15.709L10.1413 15.7061L10.1197 8.22701L9.11966 8.22991ZM9.14134 15.709L8.14311 15.7684C8.17339 16.2771 8.35111 16.9731 9.00854 17.3242C9.65564 17.6698 10.3249 17.4421 10.7493 17.2072L10.2651 16.3323L9.78087 15.4573C9.69245 15.5063 9.66333 15.5057 9.68777 15.5024C9.72022 15.4979 9.82562 15.4933 9.95074 15.5601C10.0775 15.6278 10.1348 15.7209 10.1513 15.7559C10.1634 15.7818 10.146 15.758 10.1396 15.6496L9.14134 15.709ZM10.2651 16.3323L10.8382 17.1517L15.9475 13.5783L15.3744 12.7588L14.8012 11.9394L9.69195 15.5128L10.2651 16.3323Z\" fill=\"#EFF2EF\"\/><\/svg><span class=\"pt-episode-card__listen-text\">Listen Now!<\/span><\/a><\/div><\/div>                    <\/div>\n                <\/article>\n                    <\/div>\n            <\/div>\n    <\/section>\n\n\n<style id=\"pharmatalks-content-split-style\">.pt-split__container.container{max-width:var(--pt-split-container-width,var(--container-width))}@media (width >= 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