Generation AI

In this episode of Generation AI, hosts Ardis Kadiu and Petar Djordjevic take you inside OpenAI's third annual Dev Day in San Francisco, breaking down the major announcements that are reshaping how we interact with AI. With ChatGPT now reaching 800 million weekly active users, OpenAI is positioning itself as the operating system of the future. Ardis and Petar, who attended the event in person, discuss three major announcement categories: Apps (native applications running directly in ChatGPT with deep integration), Agent Kit (a visual agent builder with built-in evaluation systems), and new models including GPT-5 Pro, Sora 2 video generation, and cheaper image options. They explore what these changes mean for developers, product builders, and higher education professionals, while sharing their first-hand observations from being in the room with 1,500 developers and AI industry leaders. This episode is essential listening for anyone trying to understand where AI platforms are headed and how to prepare for a future where ChatGPT becomes the hub for all your digital work.Dev Day Experience: San Francisco and the AI Ecosystem (00:00:36)First-time experience attending OpenAI Dev Day in San Francisco with 1,500 attendeesThe unique culture of San Francisco's tech scene and AI billboards everywhereMeeting AI influencers, builders from major companies like Netflix, Facebook, MicrosoftComparing Element451's AI work against world-class builders and feeling competitiveThe optimism and grind culture among new builders and startup foundersThe Three Big Announcement Categories (00:06:32)OpenAI's strategic shift: positioning ChatGPT as an operating systemThree main categories: Apps, Agents, and new ModelsChatGPT reaching 800 million weekly active users (not monthly - weekly)Processing billions of tokens daily across the platformApps in ChatGPT: The Third Try at an App Ecosystem (00:10:05)Native applications running directly in ChatGPT with deep integrationEvolution from plugins (first attempt) to custom GPTs (second attempt) to Apps SDK (third attempt)Launch partners: Canva, Booking.com, Expedia, Figma, Spotify, Khan Academy, Instacart, Uber, TripAdvisorApps can share context with ChatGPT and return custom UI componentsDemo showing Coursera courses, Canva slide creation, and Zillow apartment search all within ChatGPTApps SDK will be available to all developers by end of yearThe Distribution Flywheel and Vendor Lock-in (00:14:53)800 million users creates massive distribution leverage for app makersThe more users work inside ChatGPT, the more context gets centralizedThis strengthens personalization but also increases switching costsChatGPT becoming your memory and general assistantDiscussion of potential for ads and payment systems within ChatGPTUsers becoming more sticky to ChatGPT than to individual app websitesAgent Kit: Visual Agent Builder with Native Evals (00:18:38)Visual agent builder for orchestrating multi-agent workflowsChat Kit for embedding chat interfaces into applicationsNative evaluation system built directly into the platformLive demo: building a full agent for Dev Day conference in 8 minutes on stagePre-built guardrails for PII data and harmful contentConnections to file search, web search, and external systems via MCP protocolSimilar to tools like Zapier, Make.com, and n8n but with embeddable chat widgetsHow OpenAI Uses AI Internally (00:23:44)OpenAI shared three internal use cases at a breakout sessionGo-to-market agent: researches customers before meetings, preps demos, closes the loop after meetingsSupport agent: handles customer inquiries at scale (not outsourced, built in-house)When ChatGPT image generation launched, they got 10 million new users in a dayBuilt-in evals allow systems to improve themselves over time using thumbs up/down feedbackEvals and Prompt Optimization: The Game Changer (00:25:23)Evals explained: non-deterministic outputs require grading systemsEvolution from human graders to LLM gradersOpenAI introducing prompt optimization using the GEPA algorithm (Genetic Pareto)System uses all your data and feedback to automatically improve promptsConnection to DSPY library and the movement toward automated prompt engineeringNot locking users into OpenAI models - can use any model and send traces to the systemComparison with LangSmith and other tracing toolsNew Models: GPT-5 Pro, Sora 2, and Image Mini (00:33:20)GPT-5 Pro now available via API (12x more expensive than standard ChatGPT)Takes minimum 15 minutes per task due to deep reasoning capabilitiesSora 2 and Sora 2 Pro for video generation now in APISora app showing amazing video generation capabilitiesDemo with UK animation studio showing year-long process compressed to minutesGPT Image 1 Mini: 80% cheaper for cost-sensitive, high-frequency tasksEnables personalized images at scale for hundreds of thousands of usersTwo-tier Sora workflow: use smaller model to nail the prompt, then Pro for high fidelityReal-Time Voice Models and Device Strategy (00:40:38)GPT Real-Time Mini Voice: 70% cheaper with improved qualityDiscussion about voice quality expectations and production use casesSpeculation about OpenAI's strategy to get models small enough for on-device deploymentThe importance of voice as a natural interface for future applicationsConcerns about whether cheaper models sacrifice too much qualityCommunity Reactions and the Agent Debate (00:43:26)Mixed reactions to Agent Kit announcementsTwo camps: those excited about workflow builders vs. those disappointed it's "old paradigm"Debate about what defines an "agent" - no consensus in the industryComparison with Claude Code's different approach: treating LLM as autonomous humanDiscussion of workflow builders vs. true autonomous agentsWhat This Means for Startups and Builders (00:47:40)Advice: still build in code, don't rely entirely on Agent Kit for productionAgent Kit good for proof of concept and quick distributionWill take at least a year for App Store to catch fire with normal usersOpportunity to be early in the ChatGPT App ecosystemImportance of building expertise with OpenAI's tooling and platformThe Everything App and Multi-Platform Future (00:50:30)ChatGPT positioning as the "Everything App" and operating system of the futureGoogle announces Gemini Enterprise with similar agent builder capabilitiesQ4 2025 prediction: proliferation of agent builders across platformsElement451's approach: building agents that build agents using conversational interfaceEvolution from visual workflow canvas to AI-driven job creationProactive AI that evaluates context and takes actions without predefined stepsFinal Thoughts: The OpenAI Ecosystem (00:54:13)OpenAI as one of the most advanced AI labs with 4 million developers on platformChatGPT as dominant chat assistant with massive ecosystem impactKey takeaways from being there in person and seeing the builder communityHow these announcements will shape the future of work and higher education - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too! Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this kickoff to a special three-part series titled "Making AI Work: A Buyer’s Guide for Leaders", hosts Ardis Kadiu and Dr. JC Bonilla break down the overwhelming AI landscape in higher education. From general assistants like ChatGPT to workflow-transforming agents, this episode offers a crucial roadmap for institutional leaders wondering what’s hype, what’s helpful, and what’s worth investing in. If you're evaluating ed tech tools or shaping a long-term AI strategy in higher education, this episode is your essential primer.00:00 Mapping AI for Enterprise Leaders04:10 AI Roadmap: From Foundations to Adoption08:29 Understanding AI: Tools vs. Transformations12:27 AI Assistants: Fast and Accessible15:04 "Enterprise AI Deployments in Institutions"18:29 "CRM Copilots and Agents Overview"19:43 AI Copilots Revolutionizing EdTech Platforms22:55 End-to-End AI Solutions Explained26:47 AI-Driven Workflow Automation Tools31:49 "Enhancing Systems with AI Workflows"36:38 Automated Student Engagement Workflow37:46 "AI's Enterprise Value Dilemma"43:54 "ROI Correlation with Decision Proximity"48:04 Evaluating AI Autonomy Levels51:02 "AI Readiness Framework Explained"53:16 Evaluating and Comparing AI Vendors55:49 Prospects and Students - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too! Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this special episode of Generation AI, listeners get an exclusive peek into Vanderbilt University’s ambitious and unconventional approach to integrating AI across campus through a recent episode of the AI for U podcast. AI for U host Brian Piper speaks with Allen Karns, Chief AI and Technology Officer at Vanderbilt’s Center for Generative AI, who breaks down how Vanderbilt built Amplify—their open-source AI platform—for both administrative and academic use cases. This episode is a masterclass in institutional transformation, innovation culture, and practical AI implementation in higher education.Check out AI for U on the Enrollify Network - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too! Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode, Generation AI analyzes groundbreaking research from OpenAI and Anthropic that reveals how AI usage is fundamentally different than expected. Hosts Ardis Kadiu and Dr. JC Bonilla dissect OpenAI's study of 1.5 million ChatGPT conversations, uncovering that 70% of usage is now personal rather than work-related - a complete reversal from initial predictions about enterprise productivity gains. They explore how ChatGPT has reached 700 million weekly active users with 90% of usage now outside the US in less than 3 years (compared to 23 years for the internet), while Claude data shows enterprise users focusing heavily on coding (36% of usage) and autonomous workflows (39% of conversations). The discussion reveals critical implications for higher education: while consumer AI adoption explodes globally with gender parity achieved (52% women users), institutions remain stuck with budget constraints, scattered use cases, and talent retention issues. This episode provides essential insights for education leaders on why the shift toward personal productivity and home-based AI usage creates both untapped opportunities and urgent challenges for institutional AI strategy heading into 2026.OpenAI's Massive ChatGPT Usage Study Overview (00:02:08)Analysis of 1.5 million ChatGPT conversations through NBER working paper700 million weekly active users, most comprehensive AI usage study everCollaboration between OpenAI Economic Research, Harvard economist David Deming, and NBERConsumer plans only - excludes enterprise and API usageSample represents massive scale given ChatGPT's global reachExplosive Growth Patterns and Metrics (00:05:27)Reached 100 million weekly users in under one year (unprecedented speed)Message volume growing even faster than user countAverage user sends 7-8 messages per day (up from 2x in 2024)Cohort analysis shows steady usage for existing users, new users driving intensityGrowth accelerates with each major model releaseGlobal Adoption Outpacing All Previous Technologies (00:08:09)90% of usage now outside North America (achieved in under 3 years)Internet took 23 years to reach same international distributionLower-income countries showing fastest adoption ratesImplications for international marketing and student recruitment strategiesGlobal phenomenon across all economic levelsGender Parity Achievement (00:11:30)Women users increased from 37% (January 2024) to 52% (July 2025)Based on analysis of typically feminine vs masculine namesReflects natural population distribution (50/50 split)Usage patterns now mirror general population demographicsThe Personal vs. Work Usage Revelation (00:13:24)Work-related usage dropped from 47% to only 27%Over 70% of ChatGPT usage is personal/non-work relatedHidden economics of home productivity emerging (not captured in GDP)Similar pattern to mobile device "bring your own device" adoptionEnterprise adoption significantly slower than consumerUsage Intent Categories and Detailed Breakdown (00:16:37)Three main categories: Asking (49%), Doing (40%), Expressing (11%)Practical guidance: 28.8% (top use case)Seeking information: 24.4% (up from 18% year-over-year)Writing: 23.9% (declining as users discover new applications)Multimedia: 7.3% (peaked at 12% after GPT-4o image features)Technical help: ~5%Self-expression: ~5%Specific High-Demand Use Cases (00:19:32)Tutoring/teaching: 10.2% (major opportunity for ed-tech)How-to advice: 8.5% (vertical SaaS potential)Personal writing & editing: 18% (demand for AI co-pilots)Coding in ChatGPT: Only 4.2% (compared to 36% in Claude)Each use case bar represents potential startup opportunity or graveyardClaude/Anthropic Enterprise Usage Analysis (00:27:42)Coding dominates: 36% of Claude usageAutonomous workflows: 39% of conversations (up from 27%)API automation: 77% of business API tasks are full automationMore complex multi-step workflows emergingGeographic usage reflects local economies (NYC: finance, Hawaii: tourism, Massachusetts: science)The Context and Data Bottleneck (00:34:52)Major enterprise bottleneck: Data/context readinessShift from prompt engineering to context orchestration for 2026Context engineering becoming the critical capabilityIntegration with existing platforms determines successOrchestration requires both technology and specialized talentEnterprise AI Economics and Priorities (00:37:26)Companies prioritize capability over cost savingsModel capabilities drive adoption more than pricingBusinesses "lean into automation over cost savings"Not yet highly price sensitive - capacity matters moreBudget lines for AI becoming essential planning itemHigher Education Specific Challenges (00:42:41)Minority of institutions identify as AI leaders75% of CDOs see moderate risk to academic integrityMost exploring scattered use cases vs. campus-wide programsBudget constraints remain primary blockerMarketing and enrollment teams leading adoptionStudent support and advising showing strong use casesTalent retention crisis as AI champions leave for better opportunitiesLabor Market Implications and Timeline (00:45:48)Fortune reports AI potentially replacing entry-level workersContext-heavy work remains difficult to fully automateAnthropic predicts powerful automated systems by late 2026-early 2027Low-hanging fruit automation tasks already saturatingNeed to view AI as outcomes rather than featuresKey Strategic Takeaways (00:46:47)Consolidation into integrated platforms expected for 2026Data connectors and ecosystem integration criticalConsumer adoption patterns informing enterprise strategyHome productivity gains creating new economic value unmeasured by GDPInstitutions need separate AI budget lines immediatelyPlatform strategy required vs. point solutions - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too! Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode of Generation AI, hosts Ardis Kadiu and Dr. JC Bonilla explore the accelerating AI infrastructure boom following Oracle's massive 36% stock surge after announcing a $300 billion OpenAI deal. They break down Anthropic's landmark $1.5 billion copyright settlement and what it means for AI training data - companies can train on copyrighted material, but they have to buy it first. The conversation shifts to practical tools as they discuss ChatGPT's new MCP support and Replit Agent 3's autonomous coding capabilities that can work independently for 200 minutes. The hosts then examine the rise of AI influencers making millions through synthetic content, powered by Google's game-changing Nano Banana image editor and Veo 3's new vertical video capabilities that make professional social content creation cost just $12 for a 30-second ad.Opening and UVU Campus Incident (00:00:00)Reflection on September 11th anniversary, 24 years laterDiscussion of tragic incident at University of Utah Valley campusHow institutions manage crisis communicationsAnthropic's $1.5B Copyright Settlement (00:06:32)Court ruling on using pirated materials for AI trainingSettlement details: $3,000 per book for 500,000 illegally obtained booksPrecedent set: AI companies can train on copyrighted material if purchased legallyImplications for other pending lawsuits with OpenAI, Meta, and New York TimesOracle's Stock Surge and Infrastructure Boom (00:10:44)Oracle stock jumps 36% after earnings announcement$300 billion commitment from OpenAI for cloud infrastructureOracle positioning as the "shovels" in the AI gold rushHosting compute for OpenAI, XAI, Meta, and GoogleSignal that AI infrastructure spending is accelerating, not slowingChatGPT Adds Full MCP Tool Support (00:14:51)OpenAI enables MCP (Model Context Protocol) in developer modeMCP as "USB for AI agents" - standardized connection protocolExpanded connectivity beyond limited connector listInternal tools can now expose MCP servers for agent communicationReplit Agent 3: Autonomous Coding Revolution (00:16:37)Third generation agent can work independently for 200 minutesReflective loops for automatic testing and bug fixingCreates multi-step automations similar to Zapier workflowsCan build other agents and complex applications autonomouslySimulates human interaction: clicking, form filling, authenticationThe Rise of AI Influencers and Synthetic Content (00:21:27)Virtual personas making up to $10 million annuallyExamples: Luo Magalo (7.7M followers), Lil Miquella (2M followers)Brands partnering with Samsung, Versace for controlled narrativesAgencies producing synthetic influencers at scaleBalance between fiction/adventure and avoiding deceptionGoogle's Nano Banana: Image Editing Revolution (00:26:12)Transform any image through natural language promptsCharacter consistency for beginning, middle, and end framesUpdate dated content (change "2023" shirt to "2025")Top viral prompts: action figures, different decades, TV showsAvailable in Google Gemini and through APIsVeo 3 Video Generation Goes Social-First (00:28:10)50% price reduction: $0.15 per second for fast generationNew 9x16 vertical format for TikTok, Instagram Reels1080p HD output as standardFull audio integration with voice generation30-second professional ad costs just $12 to producePractical Applications for Higher Ed (00:40:51)Creating personalized content for micro-audiencesUniversity mascots with variations for different demographicsA/B testing at scale for minimal costTransparency and authenticity requirementsBrand ownership and responsibility for synthetic contentTool Recommendations and Alternatives (00:39:12)Midjourney for conceptual images and presentation loopsRunway ML Gen 3 for quick prototypesCling AI 2.1 for lip syncing and motion controlLuma Dream Machine for hyper-realistic animationsLeonardo AI as platform aggregating multiple models including Veo 3 - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too! Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode of Generation AI, hosts JC Bonilla and Ardis Kadiu break down A16Z's fifth annual Top 100 Gen AI Consumer Applications report, revealing how the AI app ecosystem has shifted from experimentation to consolidation. They discuss Google's aggressive entry with four separate products in the rankings, including Gemini's rapid rise to second place behind ChatGPT. The conversation explores how consumer AI has moved beyond novelty to become essential productivity tools, with specialized apps dominating specific use cases like image generation (Midjourney), voice (11 Labs), and the emerging category of agentic coding platforms like Lovable and Replit. The hosts also examine the global dynamics of AI adoption, including the significant presence of Chinese-developed apps and what these consumer trends mean for higher education professionals and their students.Opening and Mediterranean Reflections (00:00:00)Ardis returns from his brother's wedding in TuscanyDiscussion about taking time away from technology and workThe value of slowing down and gaining new perspectives on AI trendsThe A16Z Top 100 Report Overview (00:08:49)Fifth edition of Andreessen Horowitz's annual consumer AI apps reportBased on monthly active users on mobile and web trafficDifference between unique web visitors vs active users explainedFocus on consumer adoption patterns rather than enterprise AIMarket Stabilization and All-Stars (00:11:54)Only 11 new names on web list vs 17 last yearMarket maturity signals with winners consolidating positionsChatGPT reaches 700-800 million weekly active users14 brands consistently dominating across categoriesGoogle's Aggressive Multi-Product Strategy (00:17:00)Gemini takes second place with 12% of ChatGPT's web visitsIntroduction of Nano Banana image editing modelFour Google products separately ranked in top 100Strategic unbundling approach to compete across categoriesThe Rise of Agentic Coding (00:25:47)Evolution from "vibe coding" to "agentic coding"Lovable reaches #22, Replit maintains strong positionIntegration with Supabase for backend developmentReal work being done on these platforms, not just experimentationRegional Dynamics and Chinese Apps (00:29:19)22 out of 50 mobile apps are Chinese-developedDiscussion of China vs rest of world classificationChinese apps being exported globallyAI as a global technology play across regionsYear-Over-Year Changes (00:32:12)Deep Seek's rise and fall (down 40% from peak)Shift from novelty (2024) to utility (2025)Apple's crackdown on ChatGPT copycatsMobile list showing more innovation and newcomersVideo Generation Maturity (00:36:15)Google's VO3 dominates over SoraConsolidation in video generation spaceWorld models like Genie 3 emergingVideo becoming integrated into general assistantsImplications for Higher Education (00:38:01)Students already using multiple consumer AI toolsPattern of utility across companions, creativity, productivityNeed for educators to understand student tool usageRecommendation to explore top apps to understand student behaviorClosing Thoughts (00:41:20)Consumer AI adoption as mirror of society's AI integrationFocus shifting from smartest models to most useful appsEncouragement to test unfamiliar apps from the listPreview of fall conference season and upcoming AI announcements - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too! Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

NotebookLM transforms how we work with documents by turning any PDF, YouTube video, or audio file into multiple AI-powered formats with zero prompting required. In this hands-on demo, see how Google's source-grounded AI instantly creates professional 6-minute video summaries, interactive podcasts where you can interrupt and ask questions, visual mind maps for exploring concepts, comprehensive study guides with quizzes, and chronological timelines from your uploaded content. Unlike ChatGPT, NotebookLM never hallucinates because it only references your sources, making it perfect for analyzing research papers, creating course materials, conducting competitive analysis, or synthesizing hours of content into minutes. Real examples show 75% time savings in document analysis, Walter Isaacson using it for biography research, and Element451 creating complete employee onboarding from company documents - proving NotebookLM is the breakthrough tool for anyone drowning in information who needs actionable insights.Back to School Season and Why NotebookLM Matters (00:00:06)Discussion about the start of the school year and its significanceThe class of 2026 as the first to graduate having used ChatGPT throughout collegeIntroduction to NotebookLM as Google's AI-powered research and thinking partnerSetting the stage for practical demonstrations of game-changing featuresWhat Makes NotebookLM Revolutionary (00:05:07)Source-driven design that eliminates AI hallucinationsZero web knowledge - complete focus on your uploaded documentsBuilt on Gemini models but grounded strictly on your sourcesDirect citations and accuracy that ChatGPT can't match for document analysisNotebookLM Interface and Capabilities Overview (00:07:42)Sources panel supporting 50+ documents in pro versionAutomatic summary generation upon any document uploadThe Studio feature that creates multiple asset types instantlySupport for PDFs, audio files, YouTube videos, websites, Google DocsPowerful Real-World Applications at Element451 (00:15:47)Complete employee onboarding packages from company documentsLeadership assessment interpretation from multiple Hogan personality testsCreating interconnected insights from disparate sourcesGenerating training materials that would take weeks in minutesLive Demo: Instant Video Creation from PDF (00:19:30)Loading "Driving Toward a Degree 2025" report demonstration6-minute professional video generated without any promptingMultimedia output with synchronized audio and visual elementsFine-tuning options for specific chapters or topicsRevolutionary Interactive Podcast Feature (00:25:33)AI-generated conversational podcasts from any documentLive interaction where users can interrupt and ask questionsReal-time dialogue with AI hosts about document contentPerfect for learning complex materials through conversationMind Map Navigation for Complex Documents (00:30:29)Visual hierarchy of all document concepts and relationshipsInteractive exploration revealing hidden connectionsDeep-diving capability with automatic source citationsPattern discovery that human readers might missInstant Study Guide and Assessment Generation (00:35:23)Complete study materials created in secondsQuiz generation with answers for immediate useComprehensive glossaries for specialized terminologyFaculty saving entire summers of prep workAdvanced Asset Creation: Timelines and FAQs (00:42:36)Chronological timeline extraction from multiple documentsFAQ generation that took agencies weeks now done instantlyBriefing documents for executive summariesLLM-ready content for chatbot trainingCollaboration and Sharing Capabilities (00:44:38)Share entire notebooks with classes or teamsCreate departmental resources accessible to allPrivacy-protected individual workspacesPerfect for distributed learning environmentsGame-Changing Professional Use Cases (00:46:45)Walter Isaacson analyzing Marie Curie's journals for biographyCreative professionals discovering unconscious patterns in their workFantasy writers maintaining consistency across complex worldsChief Strategy Officer achieving 75% reduction in analysis timeNotebookLM for Learning and Training (00:51:21)Converting 3-4 hours of Kubernetes training into digestible segmentsFinding specific moments in hours of YouTube contentJob interview prep using company websites and descriptionsCompetitive intelligence from competitor materialsWhy NotebookLM Changes Everything (00:56:29)The shift from searching to synthesizing informationElement451's complete adoption for internal processesHow source-focused AI eliminates misinformationThe future of personalized, interactive learning experiences - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too! Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode of Generation AI, hosts Ardis Kadiu and JC Bonilla examine the widely misinterpreted MIT report claiming "95% of GenAI pilots fail," exploring why this headline misses the real story. While individual employees are finding significant value with AI tools (90% use personal AI regularly), organizations struggle to capture this value at the enterprise level—not because the technology doesn't work, but due to change management, leadership alignment, and implementation challenges. Through Element451's own QBR automation struggles, the hosts illustrate how the gap between impressive demos and measurable business impact stems from organizational readiness, not technological limitations. They discuss why vendor solutions succeed at twice the rate of internal builds (67% vs 33%), introduce Forward Deployed Engineers as the bridge between technology and business context, and explain why back office automation delivers higher ROI than marketing despite budget allocation. This conversation provides practical guidance for higher education leaders on moving from shadow AI productivity gains to true enterprise transformation, emphasizing that the challenge isn't whether AI works—it's how organizations need to evolve to capture its value.AI Deployment Reality Check: The 95% Failure Rate (00:01:35)MIT report reveals 95% of GenAI pilots fail to deliver P&L impactOnly 5% achieve rapid revenue growthDiscussion of how this mirrors Element451's internal experiencesThe difference between pilots, POCs, and actual productsThe Shadow AI Phenomenon (00:02:43)90% of employees using personal AI tools vs enterprise subscriptionsBottom-up adoption through consumer tools like ChatGPTWhy organizations can't measure or control individual productivity gainsThe challenge of enterprise AI adoption vs consumer AIBuilding vs Buying: The Success Rate Gap (00:03:34)Internal build success rate: 33%Vendor purchase success rate: 67%Why vertical solutions outperform generic toolsThe importance of domain expertise in AI deploymentElement's QBR Case Study: When AI Projects Struggle (00:14:18)Quarterly Business Review automation challengesThe gap between data analytics and expert interpretationWhy AI needs embedded best practices and rubricsThe difference between finding patterns and implementing expertiseMarketing vs Back Office: Where Real ROI Lives (00:24:10)Over 50% of AI budgets go to sales and marketingWhy back office automation delivers higher returnsThe binary nature of workflow automation successExamples: fraud detection, application review, transcript analysisThe Forward Deployed Engineer Model (00:35:56)Origin from Palantir's government contractsHow OpenAI uses FDEs for enterprise clientsThe hybrid role: technical expertise + business understandingWhy traditional consultants can't fill this gapThe Unicorn Problem: Finding AI Operations Specialists (00:41:24)Scarcity of people who understand both workflows and AI technologyWhy agencies need to evolve their business modelsThe opportunity for innovative consultanciesElement's challenge in scaling deployment expertiseKey Recommendations for Institution Leaders (00:45:18)Move from bottom-up to top-down AI strategyProperly resource AI initiatives (not just IT side projects)Buy rather than build for 2x success rateLook for vertical solutions with deep domain knowledgeInclude internal champions in deployment projectsFinal Thoughts: Moving Beyond Productivity to Transformation (00:49:31)The shift from individual productivity to enterprise ROIWhy POC success doesn't equal business impactThe importance of AI workflow coverageAccepting that most organizations aren't behind—everyone is struggling - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too! Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

JC Bonilla and Ardis Kadiu step outside the US "AI bubble" to examine how artificial intelligence adoption varies dramatically across the globe. With 72% global adoption but Latin America trailing at 40%, the hosts reveal a stark digital divide shaped by infrastructure, culture, and economic realities. They explore why agentic AI remains in its "first inning" globally despite executive enthusiasm, how workplace dynamics differ between regions where AI replaces $50K vs $20K salaries, and why countries like China and Singapore are embedding AI into K-12 education while others struggle with basic computer access. This episode provides essential context for understanding AI's uneven global impact and why the US perspective doesn't tell the whole story.Cold open: usage gaps and access (00:00:00)UK undergrads using gen-AI hit ~92% year over year.Latin America’s school device and internet gaps slow use.Set up: adoption is uneven and context matters.Bubble vs reality check (00:02:35)Social feeds make AI feel “everywhere,” daily life says otherwise.Travel lens: listen for real-world use outside the tech echo.What we’ll cover and why (00:04:49)Four lenses: tool adoption, agents, workplace, education.Aim: move from hype to signals you can act on.Fresh adoption stats and the ROI lens (00:06:07)Global gen-AI usage is high, but real wins come from ROI-tied use.Europe shows ROI-driven enterprise rollouts; region-by-region gaps appear.Consumer vs enterprise, and the labor behind AI (00:08:50)Personal use ≠ business use; keep them separate.Reminder: global labeling and review work trained early systems.Early winners and the pipes (00:11:56)Marketing and coding see fast gains.Bandwidth and devices still gate progress in many countries.Agents: hype, orchestration, and failure modes (00:15:58)Leaders say agents boost productivity, but integration stalls many efforts.Orchestration is critical; few firms have agents fully scaled.Value math and the “first inning” (00:19:03)Wage levels change the payback for automation across regions.Most teams are still testing; scale is rare.Do users care what an “agent” is? (00:21:14)Consumers want outcomes, not labels.Paid features and price sensitivity vary by country.ChatGPT traffic by country shows surprising leaders beyond the US.Workplace reality: trust vs maturity (00:26:07)Managers already ask chatbots before bosses in some markets.Spend plans rise while true maturity stays low.Tool availability is shaped by regulation and data rules.Multinationals as a vector; the US workforce plan (00:30:04)Global firms spread practices across offices.US agencies outline skills, pilots, and faster program updates with AI.Policy map: who has a plan (00:34:26)Fully formed playbooks: US, EU, Singapore, UAE, South Korea, China.Building momentum: UK, Australia, India, Japan, Canada.Why it matters: rules decide who gets which tools, and when.Education: usage, divide, and Asia’s lead moves (00:36:59)Student use is high, but access gaps are real in parts of LATAM.Asia embeds AI into K-12 and teacher training at scale.Teaching shift: less “teaching,” more coaching (00:41:25)Study modes and AI tutors push critical thinking support.Open question: who will rewrite pedagogy end-to-end?Wrap: four takeaways for leaders (00:42:53)Adoption is high; scale is hard.Agents need orchestration and clean integration.Policy and pipes set the pace.For higher ed: fund skills, pick focused agent use cases, track ROI, and align with policy early. - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too! Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

GPT5 Launch and Model Architecture (00:00:00)OpenAI announces GPT5 after multiple delaysFour model variants: GPT5, GPT5 Pro, GPT5 Mini, and GPT5 NanoIntroduction of intelligent router system that automatically selects modelsLaunch issues with router sending queries to wrong models initiallyThe Router Revolution: No More Model Selection (00:05:06)How the router uses previous ChatGPT usage signals to train selectionProduct decision to remove model dropdown confusion for usersSmall model in front makes decisions based on task complexityUsers can influence selection by asking model to "think hard"Dramatic Improvements in Accuracy (00:12:43)45% hallucination rate vs GPT4's 80% rateBetter data quality and reinforcement learning improvementsFocus on agentic behavior and context gatheringTool calling accuracy improvements for real-world applicationsThree Key Enhancement Areas (00:24:34)Coding: Direct competition with Claude and Anthropic's modelsWriting: Shorter, more concise, better quality outputsMedical/Healthcare: Improved analysis of health documents and test resultsEach area received specialized reinforcement learningDeveloper Implementation Challenges (00:18:13)Markdown disabled by default requiring explicit instructionsShorter instructions work better than detailed promptsNeed to rethink system prompts and instruction patternsDifferent behavior requires rewriting existing implementationsPricing and Competitive Positioning (00:29:13)GPT5 offers best price-to-performance ratio in market1/12 the cost of competing models like Claude Opus 4.1Free tier users get access to GPT5 with routingPro tier ($200/month) provides research-grade intelligenceReal-World Implementation at element451 (00:20:11)Immediate deployment for summarization and classification tasksEvaluation ongoing for higher-stakes applicationsBenefits of pluggable AI architecture for new modelsDifferent models for different latency requirementsMarket Impact and User Adoption (00:40:03)Free user reasoning model usage jumped from 1% to 7% in daysPlus users increased from 7% to 24% reasoning model usageTraffic doubled overnight causing serving challengesOpenAI deprecating all previous models to focus resourcesThe Future of AI Assistants (00:43:22)Evolution from assistant to "chief of staff" capabilityModel knows when to act and how hard to thinkImplications for higher education automationWhy institutions should adopt GPT5 immediately- - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://x.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://x.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the . If you like this podcast, chances are you’ll like other Enrollify shows too! Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com. - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too! Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

We break down one of the busiest AI news days of the year and focus on what it means for colleges. We cover Google’s Genie 3 “world model,” OpenAI’s new open-weight reasoning models (GPT-OSS 120B/20B), and Anthropic’s Opus 4.1 gains for coding agents. Then we shift to the big story for campuses: ChatGPT “Study Mode” and Gemini “Guided Learning,” plus Google’s free Gemini Pro for students and a $1B education push. If you run marketing, admissions, or student success, this episode helps you plan pilots for fall, cut model costs, and rethink onboarding and tutoring with AI.Cold open + timestamp and setup (00:00:00)JC’s line: “If ChatGPT talks, Genie walks.”We set the date: recorded Wed, Aug 6, referencing news from Aug 5.Quick heads-up that GPT-5 may land this week.What dropped: three models, three angles (00:02:00)Anthropic: Claude Opus 4.1 with coding gains.OpenAI: open-weight reasoning models (GPT-OSS 120B/20B).Google: Genie 3 “world model.”Main focus today will be study features for learning.OpenAI’s open weights: why now and why it helps (00:06:00)Pressure from R1-style models and a growing OSS wave.Open weights expand the dev base and enable on-prem or offline builds.Cost note: we discuss ~91% cheaper runs via alt providers like Cerebras/Groq in some workflows.Takeaway for schools and vendors: cheaper agents and less lock-in.Anthropic’s Opus 4.1: coding agents get sharper (00:10:40)Better long-context reasoning and tool use.Stronger at “find the right file, make the right change, don’t break other parts.”Expect Cursor/Vibe/Copilot-style tools to feel snappier.Good fit for campus IT and rapid feature fixes.Genie 3 explained in plain terms (00:16:14)What a “world model” is: generates an interactive environment with physics and memory, not just frames.Why it’s different from diffusion/video models: it keeps state and acts over time.Why it matters: training agents, robotics, labs, and rich simulations.Use cases for learning: labs, history, and more (00:25:27)Think virtual physics labs, time-period scenes, or fieldwork-style tasks.Pricing and access still unclear at record time.Gemini “Guided Learning” lands (00:27:52)Moves past one-shot Q&A to a step-by-step teach mode.Based on a learning-tuned model family (LearnLM) now inside Gemini.Students get free Gemini Pro for 12 months in select countries; NotebookLM shout-out.Why the free student play matters (00:29:28)Classic “win them early” motion; boosts daily use and skills.Helpful for course work, capstones, and research support.ChatGPT “Study Mode”: how it works (00:33:52)Interactive prompts, hints, and self-reflection.Scaffolded answers to cut overwhelm on hard topics.Personalized support, knowledge checks, and progress cues.Quick toggle in and out of study mode mid chat.Simple example that sells it (00:40:05)Ask “What is life?”Regular mode gives a direct answer; Study Mode first asks what angle you mean (bio, philosophy, personal), then guides you forward.Slows you down in a good way to build real understanding.What’s next for study features (00:40:59)Clearer visuals for complex ideas.Goal setting and progress across chats.Deeper personalization by skill level.Google’s $1B education push (00:42:26)Funding over three years for AI literacy, research, and cloud.“AI for Education” accelerator with free training and career certs.Schools should apply and point students to the free Pro offer.Big picture for campuses (00:45:52)Vendors are playing the long game on learning use cases.Leaders should plan training and policy now, not later.Close and next watch-items (00:47:25)Net: faster models are nice, useful models change outcomes.We’ll revisit once GPT-5 news lands; send us topics to cover. - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too! Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this technical deep dive, Generation AI explores the evolution from prompt engineering to context engineering - a critical shift in how we build intelligent AI systems. Hosts Ardis Kadiu and Petar Djordjevic from Element451 break down why static prompts are no longer enough and how dynamic context management is the key to creating truly smart agents. They explain the technical architecture behind retrieval augmented generation (RAG), discuss the challenges of building multi-agent systems that coordinate effectively, and reveal how Element451's new bulk jobs feature represents the cutting edge of context engineering in higher education. The episode concludes with an analysis of Mark Zuckerberg's vision for "personal superintelligence" - always-on AI assistants that remember everything about you. This matters because institutions need to understand that the success of AI agents depends entirely on having rich, well-structured data and proper context management - not just smart models.Introduction and the Shift from Prompt to Context Engineering (00:00:00)Welcome back Petar Djordjevic as co-host for the third timeThe transformation from static prompt libraries to dynamic context systemsWhy GPT-4's evolution to reasoning models changed everythingHow agents use tools to gather real-time information instead of relying on frozen knowledgeDefining Context Engineering vs Prompt Engineering (00:04:11)Context engineering as managing dynamic information for AI tasksThe evolution from one-shot prompt problems to complex agent workflowsHow automation requirements drove the need for context engineeringWhy "it's their first day on the job every day" for AI modelsDeep Dive into RAG (Retrieval Augmented Generation) (00:17:17)The complete RAG pipeline: from user query to accurate responseBreaking down queries into multiple intents for better resultsVector databases and metadata attachment for information storageThe importance of combining keyword search with semantic searchAdvanced RAG Techniques and Challenges (00:21:08)Data preparation: parsing PDFs and extracting meaningful chunksWhy semantic search alone isn't enough - the CS101 problemRe-ranking and post-processing to get the most relevant resultsHow to handle citations and build user trust in AI responsesBuilding Complex Agent Systems at Element451 (00:33:08)Element451's new Bulk Jobs feature as a case studyThe research phase: gathering student data, interaction history, and contextWhy data-rich platforms are essential for successful agentsMoving from segment-based personalization to true "segment of one"Context Pruning and Tool Selection (00:41:31)Why you can't just throw all data into the context windowPerformance degradation with large contexts - the needle in haystack problemSelecting the right tools for each task (SMS vs WhatsApp example)How to compress and adapt content for optimal performanceMulti-Agent Coordination and State Management (00:46:48)The challenge of multiple agents working on the same studentContext writing: how agents remember what they did and whyPreventing redundant actions across different departmentsBuilding systems that coordinate like experienced teamsCommon Mistakes in Context Engineering (00:50:17)The danger of being "lazy about context" and assuming AI is smart enoughWhy domain expertise is crucial for building effective agentsThe importance of vertical-specific agents (Cursor, Harvey, Sierra examples)How Element451 leverages its CRM data for education-specific agentsThe Future: Personal Superintelligence (00:53:18)Mark Zuckerberg's vision of always-on, memory-rich personal AIMeta's glasses as the computing platform of the futureAndrej Karpathy's small model with massive context approachChallenges: ambient monitoring, recall/summary, lifelong memory files - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too! Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Generation AI explores two major AI developments reshaping our future. First, hosts Ardis Kadiu and JC Bonilla break down how OpenAI and Google DeepMind models achieved gold medal performance at the International Mathematical Olympiad - solving problems that require creativity and multi-hour reasoning that experts thought was years away. This marks a critical step toward AGI as AI demonstrates true mathematical reasoning beyond pattern recognition. Then they analyze America's new AI Action Plan - a 25-page roadmap positioning AI as a national priority with three core pillars: accelerating innovation through deregulation, building infrastructure, and establishing governance. For higher education, this means $10-12 billion in funding opportunities, new workforce training programs, and a shift toward AI literacy across all disciplines. Universities that move fast to create bootcamps and partner with industry will capture this once-in-a-generation opportunity.AI Achieves Gold Medal at International Mathematical Olympiad (00:00:00)OpenAI and Google DeepMind models solve 5 of 6 problems at IMORepresents multi-hour reasoning and creative problem-solving capabilityUses general-purpose reinforcement learning without external toolsSignals major progress toward AGI - what experts thought was years awayThe Math Behind the Breakthrough (00:04:22)Mathematical Olympiad requires reasoning, not memorizationParticipants are the most gifted mathematics students globallyAI learned through trial-and-error reinforcement learningNo calculators or Python - pure mathematical reasoning verified by IMO medalistsGPT-5 on the Horizon (00:11:23)Combines best of GPT-4 and O3 reasoning capabilitiesAutomatically decides how much "thinking" to apply to queriesSam Altman signals release may be imminentEarly testers report significant performance improvementsAmerica's AI Action Plan Overview (00:16:08)25-page document positioning AI as national security priorityThree core pillars: innovation, infrastructure, governanceFocus on maintaining dominance over ChinaEmphasis on private sector speed and deregulationPillar 1: Accelerating AI Innovation (00:19:20)Removes barriers for data center constructionSignals copyright won't block model training$200M defense contracts to OpenAI, Anthropic, xAIPromotes open-source AI developmentAddresses "woke AI" concernsHigher Education Opportunities (00:25:27)$10-12 billion in NSF funding for AI training programsFederal tax incentives for AI literacy programsFocus on bootcamps over traditional degreesUniversities can partner on compute infrastructureWorkforce Research Hubs (00:28:50)Studies AI's labor market effectsInvestment in upskilling current workforcePartnerships between universities and industryEarly career exposure and pre-apprenticeshipsUniversities as Data Partners (00:31:54)Frontier labs have consumed available internet dataUniversities hold valuable research datasetsOpportunity to participate in model trainingShift from teaching to coaching roleMilitary Colleges as AI Hubs (00:35:26)Senior military colleges positioned as AI research centersDirect curriculum integration mandatedModel for other universities to followFocus on AI applications in defenseImplications for Liberal Arts Schools (00:38:46)Opportunity to own AI literacy initiativesReframe AI through human contextPartner with technical institutionsFocus on ethics and societal impactKey Takeaways and Next Steps (00:40:47)Universities must move fast to capture fundingSpeed to value critical for successEcosystem approach needed for dominanceMajor shifts in education delivery coming - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too! Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this critical episode of Generation AI, hosts Ardis Kadiu and JC Bonilla examine how AI agents and new consumer behaviors are creating a "great content collapse" that threatens traditional digital marketing. They discuss the launch of Grok 4's multi-agent reasoning system and ChatGPT Agent's integration of deep research with browser automation. The conversation reveals shocking statistics: 70% of Google searches now end without clicks, ChatGPT has a 1500:1 page scraping to traffic ratio, and 61% of Americans use AI as their primary information source. The hosts provide concrete strategies for higher education marketers to adapt, including optimizing for AI citations instead of clicks, implementing comprehensive schema markup, and creating question-based content architecture. This episode is essential listening for anyone responsible for digital marketing or web presence in higher education, as it outlines both the immediate threats and the massive first-mover advantages available to institutions that adapt quickly.Breaking AI News: Grok 4 and ChatGPT Agent (00:00:00)Introduction to Grok 4's multi-agent reasoning system using 200,000 GPUsGrok 4 Heavy employs teams of specialized agents working in parallelChatGPT Agent combines Deep Research, Operator browser automation, and tool usageDiscussion of controversial AI companions Annie and Rudy launched with GrokHow these advances accelerate the shift away from traditional web browsingThe Great Content Collapse: Shocking Statistics (00:17:04)61% of American adults have used AI tools in the last 6 monthsChatGPT approaching 1 billion weekly active users77% of Americans now use ChatGPT as a search engine65-70% of Google searches end without a single clickGoogle's scraping ratio deteriorated from 2:1 to 18:1 (now potentially 150:1)ChatGPT's scraping ratio: 1500 pages scraped for every 1 click sentConsumer Behavior Transformation (00:20:14)Traditional model: Question → Search → Click → Read → AnswerNew model: Question → AI Agent → Instant AnswerWebsites, content, and ads removed from the equationProduct discovery and shopping decisions now happening within AI interfacesAI agents becoming primary gateway for all information discoveryBrand Visibility Crisis in AI Systems (00:28:08)26% of brands have zero mentions in AI overviewsOnly strongest web presences get meaningful AI visibilityShopping agents demo as standard in every AI platform40% of people discover products through ChatGPTAttribution models completely breaking downNumber one brands getting 10x visibility advantage over competitorsEconomic Impact on Different Industries (00:33:17)E-commerce: Product discovery through AI conversation, not visual browsingMedia publishers: AI extracts value without driving readershipLocal businesses: Only top-ranked establishments get AI recommendationsSubscription models threatened by AI summariesCloudflare offering tools to block/monetize AI scrapingImmediate Predictions: Next 6 Months (00:39:11)Google AI mode moving beyond experimental to default experienceShopping ads expanding into AI overviewsSpecialized AI ecosystems for verticals (finance, travel, education)Every major platform integrating AI agents as primary interfaceTraditional SEO becoming completely irrelevantAdaptation Strategies: From SEO to GEO (00:42:54)GEO (Generative Engine Optimization) replacing traditional SEOImplement comprehensive schema markups for AI systemsStructure content with clear question-based headingsFAQs making a comeback for AI parsingCreate answer-focused content architectureInject brand names throughout content for AI citationsMonitor use case scenarios instead of keywordsThree Actions to Take Today (00:52:29)Audit how your brand appears across ChatGPT, Claude, Google AIStructure highest-value content for AI optimization immediatelyDevelop media strategy for YouTube and social platformsTrack AI citation frequency as new success metricCreate 90-day adaptation planFocus on becoming authoritative source that AI systems trust - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too! Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this technical deep-dive episode, Generation AI hosts Ardis Kadiu and Dr. JC Bonilla unpack Andre Karpathy's groundbreaking keynote on "Software 3.0" - the third revolution in how we tell computers what to do. They explore how we've moved from writing explicit code (Software 1.0) through neural networks (Software 2.0) to programming in plain English with LLMs (Software 3.0). The discussion reveals why LLMs represent a new computing paradigm comparable to the shift from mainframes to personal computers, and why Karpathy believes we're still in the "1960s era" of this revolution. Most importantly, they examine the massive opportunities this creates - from rebuilding infrastructure to creating agent-first applications - and why every software company needs to adapt or risk disruption. Whether you're a developer, entrepreneur, or education professional, this episode provides essential insights into the decade-long transformation ahead.Introduction and Context Setting (00:00:07)Decision to do a "geeky episode" after last week's personal discussionIntroduction to Andre Karpathy's Y Combinator keynote "Software is Evolving Again"Karpathy's background: Tesla self-driving, OpenAI co-founderSetting up the framework for understanding software evolutionSoftware 1.0: The Era of Explicit Instructions (00:03:55)Timeline: 1950s to 2010sProgramming with explicit instructions in languages like Python, C, COBOLDeterministic and predictable behaviorExample: Writing functions to classify spam emails with specific keywordsHow traditional developers were trained in this paradigmSoftware 2.0: Neural Networks as Programs (00:04:59)Timeline: 2010s to 2020sPrograms written as neural network weights instead of codeHumans become data curators rather than code writersTraining as the new form of "compiling" programsExample: Training neural networks on billions of emails for spam detectionThe shift from deterministic to probabilistic programmingSoftware 3.0: Natural Language Programming (00:07:00)Timeline: 2020s onwardProgramming in English through promptingLLMs as programmable computersEveryone becomes a programmerExample: Simply asking an LLM to "classify this email as spam or not"The democratization of programmingLLMs as the New Operating System (00:10:26)Three perspectives: utilities, fabrication plants, and operating systemsLLMs as utilities: like electricity, metered access, high reliabilityLLMs as fabs: enormous capital requirements, deep technical secretsLLMs as OS: new computing platform with CPU (LLM) and RAM (context window)Comparison to 1960s mainframe era - centralized, expensive computingThe Missing GUI for Intelligence (00:15:35)Current state: still in the "terminal phase" of AI computingNo graphical user interface for intelligence yetDiscussion on whether we'll skip to voice or need visual interfacesImportance of visual bandwidth for human information processingThe need for discoverability in interfacesDigital Spirits and AI Limitations (00:20:58)Karpathy's concept of LLMs as "people spirits"Superhuman abilities: perfect memory, instant processingCritical limitations: hallucinations, no long-term memoryThe "50 First Dates" problem - digital amnesiaJagged intelligence: superhuman at some tasks, terrible at othersExample: LLMs struggling with simple number comparisons (9.11 vs 9.9)Building Software 3.0 Applications (00:24:01)Four key features: context management, multi-LLM orchestration, application-specific GUIs, autonomy sliderThe cursor model as an exampleManaging complexity while making it simple for usersThe importance of the autonomy slider for user controlAI Agents and the Decade-Long Transition (00:27:42)"Agents are overrated" - not the year but the decade of agentsThe Iron Man suit analogy: augmentation vs replacementHuman-in-the-loop considerationsTesla Autopilot example: 10 years later, still not fully autonomousManaging expectations for the pace of changeVibe Coding Success Story (00:34:06)Real-world example from Engage conference presentationCIO builds prototype in 2 hours using LovableWeb-accessible syllabus database projectDramatic reduction in time and resources neededThe power of Software 3.0 for non-programmersInfrastructure Opportunities and Challenges (00:37:53)Three types of digital information consumers: humans, programs, AI agentsNeed for AI-accessible interfaces (LLM.txt files)Building infrastructure for agent consumptionMCP protocol for agent communicationThe massive rebuild opportunity for entrepreneursEducational Implications (00:39:12)Shift from information scarcity to abundanceKarpathy's approach: keeping student and teacher separate but working on same artifactNew skills needed: prompt engineering, context engineeringMoving from memorizing algorithms to understanding applicationDebugging AI reasoning vs debugging codeTraditional SaaS Transformation (00:47:19)The autonomy retrofit challengeDesigning UIs for both humans and agentsNeed for AI-accessible equivalents for every actionRisk of disruption from AI-first competitorsQuestions about human supervision and controlAction Items for Different Audiences (00:51:18)Developers: Learn all three paradigms, build partial autonomy, focus on human oversightEntrepreneurs: Identify migration opportunities, build infrastructure, design with autonomy sliderEveryone else: Start vibe coding, understand decade-long transition, develop human-AI collaboration skillsThe importance of starting now despite the long transition aheadClosing Thoughts and Call to Action (00:56:47)Karpathy's quote on the amazing opportunity aheadThe quest for autonomy and the 3.0 movementBeing part of a revolution in real-timeNeed for builders, thinkers, and creators in this new era - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too! Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this special episode of Generation AI, Ardis announces a major milestone: after nearly a decade of leading Element451 as Founder and CEO, he’s stepping away from the CEO role and returning to what he loves most—building. Recorded just after the big reveal at Engage Summit 2025, Ardis and JC dive into the reasons behind this move, what it means for the future of Element451, and why this shift aligns perfectly with the intense AI talent wars reshaping the industry today.Opening: Major Leadership Announcement at Engage Summit 2025 (00:00:00)JC introduces the special nature of this episodeAnnouncement that Ardis Kadiu is stepping down as CEO of Element451Context of the announcement made at Engage Summit with 600+ attendeesTransition to board member role while continuing to guide company visionThe Timing and Reasoning Behind the Transition (00:03:12)Element451's evolution from scrappy startup to industry-leading scale-upPlatform transformation into an AI workforce platformStrong team and customer momentum as indicators for transitionArdis's identity as a builder at heart wanting to return to startup modeCEO vs Board Member: Defining the New Role (00:05:43)Differences between hands-on CEO involvement and strategic board guidanceFocus shift from operations to product and innovation visionNo disruption to Element's mission or customer experienceBusiness continuity with added resources from PSG investmentCompany Culture and DNA Beyond Leadership (00:10:19)Discussion of Element's "no BS" cultureCulture defined by people, not just leadershipConfidence in team's ability to maintain company valuesThe importance of hiring good people who fit the missionThe AI Talent Wars and Market Dynamics (00:14:39)Meta forming super intelligence team by poaching from OpenAIDiscussion of $100 million compensation packages for top AI talentSam Altman's "mercenaries vs missionaries" positioningExamples like Cursor successfully recruiting from AnthropicBuilding in the AI Era: Opportunities and Acceleration (00:26:08)Small teams achieving massive scale with AI-first approachesLower barriers to entry for new companiesThe compound effect of AI expertise and experimentationCapital actively seeking AI talent and ideasReflections on the Entrepreneurial Journey (00:33:14)Lessons from building three previous companiesThe importance of network, connections, and accumulated knowledgeHow each venture accelerates the learning curvePlans to continue sharing the journey on the podcastHigher Education's True Value and Mission (00:40:05)Education as more than knowledge transfer - it's about communityPersonal story of how NYU connections led to Element451The rewarding nature of building for higher educationAdvice for ed tech builders to stay connected to the mission - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too! Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this special episode recorded at Engage 2025, Generation AI hosts Ardis Kadiu and Dr. JC Bonilla sit down with Dr. Tracy Brundage, President of ABAC in Georgia, for a candid conversation about the real challenges of AI transformation in higher education. Moving beyond the typical efficiency metrics, they explore what it truly means to be "AI powered, people focused" and why incremental change isn't enough anymore. The discussion reveals that the biggest obstacles aren't technological—they're human, cultural, and structural. With students arriving on campus after years of ChatGPT use in high school, the panel examines how institutions must fundamentally rethink their approach to education, moving from delivering more software features to providing AI teammates that actually get used. This conversation offers practical insights for leaders struggling to balance rapid technological change with the timeless mission of creating belonging and connection for students.Opening: The State of AI in Higher Education (00:00:08)Closing session from Engage 2025 conference in CharlotteTheme: "AI powered, people focused" frames every conversationAI becoming foundation of campus services, not just an add-onPanel explores obstacles and transformation challengesThe Exponential vs. Incremental Problem (00:03:31)Artists identifies gap between incremental desires and exponential needsPeople asking for efficiency gains while missing bigger transformation questionsOld ways of thinking blocking adoption of transformative approachesNeed to change internally to make things better for studentsBeyond Technology: The Real Barriers (00:06:06)Tracy identifies culture, systems, and structure as main obstacles"Sometimes less is less" - the problem of wearing too many hatsStudents arriving with 4 years of ChatGPT experience from high schoolChallenge of evolving academic integrity in digital ageThe 93% Problem: Unused Features (00:08:14)Across industries, 93% of software features go unusedAdding more features increases anxiety rather than solving problemsElement451 shifting from features to AI agents that handle entire workflowsFocus on delivering teammates, not toolsAI as a Unifying Force (00:09:22)Discussion of AI breaking down traditional silosABAC bringing admissions and alumni into same officeAI accelerating organizational transformationChange management as the critical factor, not technologyMeasuring What Matters: Student Experience (00:13:04)Moving beyond efficiency metrics like hours savedStudent belonging and connection as key success indicatorsWhy higher ed lacks customer satisfaction scores for studentsAI exposing existing cracks in educational systemsThe Unknown Future of Work and Education (00:17:19)Preparing students for jobs that don't exist yetLegacy programs may not offer viable career pathways20% chance AI development goes wrong, 80% chance for abundanceBuilding for next 6 months while future remains uncertainClosing Wisdom and North Star Advice (00:21:14)Tracy: "Design with empathy, lead with curiosity, never lose sight of the student"Artists: Everyone is figuring it out together, no true experts existStart where you are and keep building incrementallyJC: "Be a manager of AI and leader of people" - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too! Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this special conference preview episode, hosts Ardis Kadiu and JC Bonilla take listeners behind the scenes of Element451's upcoming Engage Summit, a three-day intensive gathering of 600+ higher education leaders focused on building the AI workforce. The episode breaks down the conference's "AI powered, people focused" theme while exploring how institutions are moving from AI-curious to AI-native mindsets. The hosts discuss their individual presentations, from AGI's impact on knowledge work to practical vibe coding sessions, providing insight into the cutting-edge AI strategies that will shape higher education's future. This episode is essential for understanding where the industry is heading and how leaders can prepare for an agentic world.Opening and Conference Introduction (00:00:00)Introduction to Engage Summit: June 24-26 in Charlotte, North Carolina600+ in person, and 2000+ virtual higher education leaders gathering for three-day intensiveTheme: "AI-powered, People-Focused"The Origin Story and Philosophy of Engage Summit (00:02:51)Conference designed as industry event, not just Element451 user conferenceEvolution from bleeding-edge technology focus to AI-centered programmingConnection between Engage Summit and Enrollify Podcast network"AI powered, people focused" approach to conference designConference Structure and Design Strategy (00:09:23)Day 1-2: Open to entire higher education industryDay 3: Deep dive for Element451 customers onlyGoal: Attendees leave with campus-ready agent playbooks50+ sessions across multiple tracks with virtual streaming optionKeynote Speakers and Strategic Sessions (00:13:18)Dr. Kosmas Karadimitriou from PSG: "Agents shifting from tool to teammate"Presidential POV panel on AI-powered resilience in uncertain timesCrisis communications using AI for rapid deploymentFocus on real-world applications and expert commentaryArdis Kadiu's Conference Presentations (00:22:57)Product keynote: 60-minute preview of AI agents and platform transformationVibe coding session: Building functional apps using natural languageDeep research tools: First agentic capabilities now availableAGI discussion: What happens when AI outperforms humans at intellectual tasksJC Bonilla's Conference Sessions (00:32:25)Market research calibration with Tambolini researchAI maturity models for higher education with Doc SmithAdvanced ChatGPT features lightning talkFocus on change management fatigue and resource-trapped institutionsThe Evolution of AI's Role in Higher Education (00:30:47)Discussion of AI as enabler vs. replacement in 2025-2026 timeframeProductivity boost and value creation in near termStudent experience improvements through AI integrationMoving beyond "AI will take your job" to practical implementationConference Wrap-Up and Registration (00:40:13)Virtual attendance available at engage.element451.comAll sessions will be recorded and made available post-conferencePositioned as one of most advanced AI conferences in higher educationEmphasis on practical sessions with real use cases - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too! Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode of Generation AI, hosts JC Bonilla and Ardis Kadiu explore what it means to build truly AI-native organizations. Fresh from a CEO conference, Ardis shares critical insights about how AI-first companies are fundamentally different from traditional SaaS businesses. They break down the major AI news of the week, including OpenAI's milestone of hitting $10 billion in annual revenue, their 80% price drop on the O3 Pro model, Meta's strategic acquisition of Scale AI, and Apple's continued struggles with AI integration at WWDC. The discussion focuses on why legacy companies face serious headwinds while AI-native organizations achieve non-linear growth through speed and efficiency. This episode is essential listening for higher education leaders who need to understand how AI transformation goes beyond adding chatbots - it requires rethinking your entire operational model and organizational culture.Recent AI News Roundup (00:00:32)OpenAI reaches $10 billion annual recurring revenue milestoneO3 Pro model pricing drops 80% while delivering superior reasoning capabilitiesMeta's strategic acquisition of Scale AI to accelerate path to AGIApple's disappointing WWDC showing with continued AI integration delaysDefining AI-Native Organizations (00:13:37)AI-native as organizational fabric, not a checkbox featureEvery process designed assuming AI is always on and learningFundamental difference from traditional SaaS companies adding AI wrappersThe journey from SaaS to cloud to AI-first to AI-nativeTraditional SaaS Company Headwinds (00:18:07)Linear scaling model requiring more humans for growthIncreasing customer acquisition costs in saturated marketsLegacy code bases preventing rapid AI integration"This is how we've always done it" mentality blocking transformationAI-Native Company Advantages (00:26:19)Non-linear growth with minimal headcount (Cursor's 500M ARR example)Speed as the primary competitive moatReduced dependency on human resources for scalingBuilt-in agility enabling faster product innovation and iterationBeyond Insights to Action (00:31:45)Moving from dashboards to prescriptive actionsAI telling you what to do next, then doing it for youConsumer expectations shaped by Amazon-like experiences and ChatGPT interactionsAnchoring effect making static solutions appear outdatedOrganizational Transformation Requirements (00:36:26)AI literacy must be distributed across entire organization, not siloedAvoiding two-class employee systems that create culture clashesIndividual responsibility to seek AI-forward organizationsDaily compounding effect approach rather than overnight transformationCultural and Human Factors (00:39:33)Leadership must model AI-first behavior dailyGradient approach to transformation with consistent progressEmployee upskilling essential for career viabilityOrganizational DNA change required for true AI-native status - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too! Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Forget everything you think you know about AI timelines. The world's top AI labs now say AGI—artificial intelligence that surpasses humans at all tasks—is 5 years away, not 50. ChatGPT's 800 million users was just the beginning. When AI can teach better than any professor, diagnose better than any doctor, and code better than any developer, what happens to human work? To education? To you? This isn't futurism—it's a timeline shock that's sending universities into crisis mode. The race to AGI is on, and if you're not preparing now, you're already behind.Opening: From Basketball to AGI's Moon Shot (00:00:00)The Knicks' 25-year drought as metaphor for timeline compressionAGI as "today's moon shot" with labs racing at full throttleThe shift from "will AI get smart?" to "AI is already outthinking us"The Context: Why This Matters Today (00:04:21)ChatGPT's explosive growth: 800 million users in under 3 years—history's fastest tech adoptionCurrent AI still "narrow"—brilliant but limited like a writer who can't do mathSam Altman's bombshell: "We now know how to build AGI"Why education leaders need to understand this shift immediatelyWhat Is AGI and How Is It Different? (00:11:33)The specialist doctor vs. Leonardo da Vinci comparisonAGI capabilities: learns without training, transfers knowledge, solves new problemsOpenAI's definition: outperforms humans at most economically valuable workGoogle DeepMind's bar: matching Einstein's scientific breakthroughsMachines shifting from assistants to peers—or superiorsThe Timeline Shock: Why Now? (00:20:54)Sam Altman: AGI by 2029 (current presidential term)Dario Amodei: AI outsmarts humans by 20262,778 AI researchers: median prediction now 2047, down 13 years in one year10% chance of AGI by 2027—"Would you board that plane?"Compute growing 10x yearly, costs down 99.7%, $212 billion invested in 2024What This Means for the Knowledge Economy (00:27:23)80% of US workforce faces task disruption—all wage and education levelsNot just blue-collar: lawyers, doctors, engineers, executives all impactedMcKinsey already cutting 10% workforce, replacing with AIThe paradox: GDP could 10x while jobs disappearGitHub Copilot at 77,000 organizations, growing 180% yearlyThe Education Paradox (00:33:02)Universities' three pillars: knowledge transfer, certification, communityAGI breaks the first two completelyWhen AI teaches perfectly for free, "what's a lecture for?"When AI outperforms any graduate, "what's a diploma for?"Chegg's stock crash, coding bootcamps struggling, MBA programs questioning valueThree Futures for Universities (00:40:06)Human-Edge College: Small seminars, mentorship, emotional intelligence, ethicsResearch Steward: Ethical guardians of AGI, independent from profit motivesLifelong Learning Platform: Continuous upskilling partner using AI at scaleThe shift from information delivery to human developmentYear One Projection: The AI Teammate Era (00:48:29)AI agents as actual teammates handling meetings, reports, decisionsStudents using AI regardless of policies—adaptation isn't optionalSchools must decide how to integrate, not whetherThe institutions experimenting now vs. those falling behindYear Five Projection: The Hybrid Intelligence Era (00:50:01)2030: Seamless human-AI collaboration across all knowledge workNew jobs emerge: AI psychologists, algorithm auditors, team coordinatorsEvery student with 24/7 personalized AI tutorProfessors transform into coaches, degrees become competency-basedYear Ten Projection: Abundance or Inequality (00:52:51)Best case: Monthly scientific breakthroughs, disease prevention, climate solutionsWorst case: Mass unemployment, extreme inequality, human purpose crisisLarry Ellison's $600B Stargate project for personalized medicineEducation's new role: helping humans find meaning when machines do the workThe Call to Action: Lead or Be Led (00:59:37)Change is coming faster than anyone thinks—decades are now yearsStart experimenting immediately—not next semester, nowFocus on uniquely human qualities: empathy, creativity, ethical reasoningUniversities must become thought leaders, not bystanders"The future isn't fixed—we decide if AGI amplifies or replaces us" - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too! Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.