The Next 3 Years of AI Will Redefine Humanity, Work & Technology | The AI CEO Podcast

Are We Prepared for the Seismic Shift Ahead? Inside the Next 3 Years of AI, Humanity & Work — with Kristina Francis The next three years will redefine more about humanity, work, identity, and opportunity than the last twenty. In this powerful episode of The AI CEO Podcast with Seema Alexander, I sit down with Kristina Francis — CEO of Kin & Commons (formerly Executive Director of JFFLabs, where she launched the Center for AI and the Future of Work) — to unpack how AI, community, education, robotics, and economic mobility are converging all at once. ⸻ What You'll Learn in This Episode This episode is not about fear — it's about clarity. And clarity is the first step to preparing your teams, your business, and your family for what's coming. The Next 3 Years of AI Will Redefine Humanity, Work & Technology | The AI CEO Podcast •⁠  ⁠Why the next 3 years will determine the future of entire communities and industries AI, robotics, blockchain, quantum, and voice tech are converging faster than institutions can keep up. •⁠  ⁠Degrees are collapsing as hiring predictors Skills, curiosity, and real-time learning are becoming the new currency. •⁠  ⁠Why identity is shifting — and why that scares people When people lose or change jobs, they lose a sense of self. AI is accelerating that shift. •⁠  ⁠Why families need to be upskilled together A single person learning AI isn't enough — entire households need literacy to thrive. •⁠  ⁠The rise of AI agents, humanoids & hybrid teams What it will mean to work with AI teammates, workflows, and robotics. •⁠  ⁠Systems that must be rebuilt NOW Education, workforce, entrepreneurship, and economic mobility all require reinvention. ⸻ Episode Timestamps 0:00 — Welcome & How We Met 3:12 — Why "Everything Is at Stake" in the Next 3 Years 6:45 — The Decline of Degrees as Hiring Predictors 10:28 — Workforce Shifts & Disappearing "Safe" Jobs 14:11 — The Rise of Real-Time Learning 18:42 — Why Human Values Must Be Rewritten 22:35 — AI + Quantum + Blockchain + Robotics 27:50 — How Families Should Prepare 31:20 — Identity, Anxiety & Psychological Impact 34:02 — Rebuilding Systems for the Next Gen 38:17 — Why Institutions Can't Move Fast Enough 42:10 — What Leaders Must Do Right Now 45:56 — Rapid-Fire: Truth or Trap 49:09 — Final Thoughts ⸻ About Kristina Francis Kristina Francis is the CEO of Kin & Commons, a strategy and innovation group building multi-generational, future-ready ecosystems across the U.S. She previously served as the Executive Director of JFFLabs, where she oversaw the Center for AI and the Future of Work — shaping national strategy on AI, workforce transformation, and equitable innovation. LinkedIn: https://www.linkedin.com/in/kristinaharrisonfrancis/ ⸻ About Seema Alexander Seema Alexander is the Founder of Disruptive AI, Co-Chair of DC Startup & Tech Week, and host of The AI CEO Podcast. She guides CEOs, founders, and business leaders through AI adoption, organizational transformation, and the future of business. She is also an international keynote speaker on AI and business for global audiences. Her upcoming AI CEO School and AI Business Conference will provide strategic education, tools, and frameworks for non-technical CEOs and founders navigating the AI era. IG: https://www.instagram.com/seemaalexander/ LinkedIn: https://www.linkedin.com/in/seemaalexander/ Disruptive AI: www.getdisruptive.ai ⸻ Connect with The AI CEO Podcast Instagram: https://www.instagram.com/theaiceopodcast/ LinkedIn: https://www.linkedin.com/company/the-ai-ceo-podcast/ ⸻ If This Conversation Shifted Your Thinking… ➡️ LIKE, COMMENT & SUBSCRIBE to The AI CEO Podcast. Your support helps us reach more leaders ready to navigate AI with clarity, confidence, and responsibility. #AIFuture #FutureOfWork #AILeadership #AIWorkforceTransformation #ArtificialIntelligence #AIJobs #AIInnovation #AIAndSociety #TechLeadership #AIfuture2025 #AIAndHumanity #AIConvergence #AIRevolution #DigitalTransformation #AIPodcast

Transforming Workforce & Leadership in the AI Era Are you ready to lead your organization through the seismic shift AI is causing in leadership and workforce planning?   In this insightful episode of The AI CEO Podcast, host Seema Alexander sits down with Stephanie Shabazz — a 2X TEDx speaker, Microsoft adoption lead, AI consultant, and human-centered AI strategist — to unpack how AI is reshaping leadership, talent management, and business strategy. From confronting fears around job displacement to designing AI-powered teams that thrive, Stephanie reveals practical frameworks, real-world ROI stories, and essential leadership mindsets to confidently navigate AI transformation today.    Whether you're a CEO, founder, HR leader, or individual contributor, this episode equips you with the knowledge and perspective to future-proof your career and company.   Tap into this conversation to discover: • How AI is already changing workforce dynamics and leadership roles • The 3 leadership adoption stages: Dabbler, Curious Investigator, Leader Adopter • Strategies to move leaders and teams from fear to curiosity and action  • The importance of empathetic communication and transparent AI conversations  • Why AI upskilling and personal responsibility for growth are non-negotiable • How startups and enterprises differ in AI adoption approaches • Practical tips for hiring, performance evaluation, and redefining job roles in the AI era • The emerging role of AI agents and how to blend humans + AI seamlessly • Common pitfalls and success stories from companies implementing AI adoption • The future of interviewing and talent acquisition powered by AI Episode   Timestamps:  0:00 Introduction: Work is Changing with AI  3:05 Leadership and AI Adoption Rates: Dabbler, Curious Investigator, Leader Adopter 8:17 Moving from Dabbler to Curious: Building Your AI Brain Trust 10:51 The Power of Showing Possibilities to Spark Curiosity 13:02 Where Should the Pressure Come From Around AI Adoption? 15:03 Communicating AI with Employees: What to Do & What Not to Do 19:00 Understanding What Fuels Your Employees in the AI Journey 21:30 The Role of Influencers & Brand Ambassadors in AI Adoption 22:50 Employee Hackathons & Incentivizing AI Innovation 25:36 Balancing Innovation with Data Privacy and Security 26:50 The Importance of Vulnerability and Transparency in Leadership 28:08 Investing in Employee Growth & Upskilling for AI 30:41 Personal Responsibility vs Employer Responsibility for AI Learning 33:06 Middle Managers as the AI Adoption Differentiator 35:08 Entry-Level Hiring & Career Building in the AI Era 37:26 Why Candidates Must Bring AI Insights to Interviews Today 39:12 Key Skills for the Next Generation: Collaboration, EQ, Integrity 41:04 The "Messy Middle": Balancing Experience with AI Automation 44:48 The Need for Industry-Specific Upskilling & Adaptability 46:51 The Rise of AI Agents and Redefining Job Descriptions 49:01 Incorporating AI into Performance Evaluations and Hiring 52:00 Human-Centered AI Adoption Strategy for Leaders (Next 30 Days) 54:01 Change Management & Communication: The Core of AI Workforce Planning 55:02 Differences in AI Adoption Between Startups and Enterprises 57:22 Real-World AI Adoption Case Studies: What Worked & What Didn't 1:03:32 Rapid Fire AI Leadership Q&A: Overrated Roles, Myths, and Hiring Tips 1:05:13 Final Thoughts: People-First AI Strategies & Empathetic Communication   About Stephanie Shabazz Stephanie Shabazz is an AI adoption leader, 2X TEDx speaker, and Microsoft adoption lead specializing in human-centered AI strategies that elevate organizational performance and futureproof teams. With deep expertise in workforce planning, recruiting, and AI education, Stephanie partners with executives to lead confident, empathetic AI transformations that drive measurable ROI.   About Seema Alexander   Seema Alexander is the founder of Disruptive AI and co-chair of DC Startup and Tech Week. With two decades of experience guiding CEOs and founders to scale and innovate, Seema hosts The AI CEO Podcast to spotlight how AI is transforming industries, creating new growth, and rewriting the rules of business for visionary leaders. www,GetDisruptive.AI   🔔 Subscribe & Connect If you found this episode valuable, please LIKE, COMMENT, and SUBSCRIBE to The AI CEO Podcast. Your support helps us reach more leaders ready to harness AI's power and shape the future of work. Stay ahead of the curve by hitting the notification bell to never miss an episode.    Follow Stephanie Shabazz on Twitter & LinkedIn: @StephShabazz Follow Seema Alexander on Twitter & LinkedIn: @Seema_Alexander   #AILeadership #WorkforceTransformation #FutureOfWork #AIAdoption #HumanCenteredAI #LeadershipInAI #AIUpskilling #AIInBusiness #AIForCEOs #TechLeadership #DisruptiveAI #AIWorkforcePlanning #AIAndHR #AIRecruiting #AIInnovation #EmpatheticLeadership #StartupAI #AIAgents #DigitalTransformation #AIPodcast

AI is already transforming industries, but where are we really? According to Sean Makulowich, CEO of Ideaf Fire, we are still in the dial-up modem era of AI—and this is the weakest the technology will ever be. In this essential episode of The AI CEO Podcast, host Seema Alexander and Sean Makulowich dive deep into the one undeniable truth: You have to be really good at your job, or AI will begin to disrupt and replace you. Sean breaks down how to build an AI-Native marketing function from inception to execution, moving beyond "spammy" personalization attempts to achieve one-to-one precision. We discuss the critical role of the Transformer technology (which powers systems like ChatGPT), the measurable ROI from early AI adoption, and the immediate, low-cost strategy every CEO must implement to start actively listening to their customers now. In This Episode, You Will Learn: The Disruption Truth: Why repetitive, non-cognitive tasks in sales and marketing are the low-hanging fruit for automation and replacement. The AI-Native Blueprint: How to leverage massive data sets to build a marketing strategy focused on precision and hyperpersonalization. Beyond Generative AI: A simple explanation of Transformer technology and its role in powering Large Language Models (LLMs) like GPT and Gemini. The Sales Accelerator: How AI agents are accelerating the sales cycle by listening for previously subjective signals like intent, emotion, and gestures on sales calls. The Content Mandate: Why the sheer volume of "garbage" content means brands must create truly valuable, insightful content to survive market saturation. Timestamps - The One Truth About AI, Marketing & Sales - 02:29 AI is Still in the 'Dial-Up' Era of Innovation - 08:34 The Modern, AI-Native Marketing Function - 12:20 Hyperpersonalization, Precision, and Data-Driven Decisions - 14:17 Measurable ROI in 2019: The Sensei Inflection Point - 17:24 Transformer Technology & LLMs Explained - 18:36 Why Current Personalization is Still 'Spammy' and Fake - 22:17 The Must-Have: A 24/7/365 Customer Feedback Loop - 24:52 Automation: The Low-Hanging Fruit of Repetitive Tasks - 38:19 Creating an AI Agent for Competitive Intelligence - 41:45 AI Agents Accelerate the Sales Cycle (Intent/Emotion) - 01:04:52 The Need for Valuable Content in a Saturated Market - 01:43:37 #AIMarketing #AISales #Hyperpersonalization #FutureOfWork #AIStrategy Follow us on: Seema Alexander Instagram: https://www.instagram.com/seemaalexander/ LinkedIn: https://www.linkedin.com/in/seemaalexander/ The AI CEO Instagram: https://www.instagram.com/theaiceopodcast/?hl=en LinkedIn: https://www.linkedin.com/company/the-ai-ceo-podcast/ Sean Makulowich : LinkedIn : https://www.linkedin.com/in/seanmakulowich/

The AI CEO is a podcast where business leaders, entrepreneurs, and innovators uncover how artificial intelligence is transforming strategy, leadership, and growth. Each episode breaks down complex AI trends into clear insights, helping CEOs and decision-makers stay ahead in the age of disruption. ---------------------------------------------------------------------------------------------- Guest: Brad Carson is a former U.S. Congressman, Under Secretary of the Army, and a thought leader in technology and public policy. He is now the President, Americans for Responsible Innovation in the beginning. With years of experience at the intersection of government, business, and emerging tech, Brad brings a unique perspective on how AI reshapes industries, regulation, and the future of work. ---------------------------------------------------------------------------------------------- AI isn't just another tool — it's a turning point for business and society. In this episode of The AI CEO Podcast, Brad Carson breaks down the AI Action Plan, why the U.S. leads in AI, and how CEOs must adapt or risk being left behind. Timestamps: 00:00 Welcome and Guest Introduction 00:44 Discussing the AI Action Plan 01:11 When AI Became the Biggest Turning Point 02:27 America's Leadership in AI 03:16 Three Key Things CEOs Must Understand 03:59 AI as an Opportunity for Small Businesses 04:37 The Urgency: Think AI or Be Consumed 05:32 The Challenge of Education for CEOs 06:44 Why You Must Spend Time on AI 07:54 AI Will Be More Transformative Than Electricity 09:05 Disruption in Industries (Life Insurance Example) 10:02 Generative AI as the "Bounty" of the Industry 11:05 Beyond Generative AI: Critical Thinking and Risk Bearing 12:22 Privacy and Ethics in Predictive AI 13:48 Data as Unique Intelligence 14:40 Data as a Licensable Asset 15:00 The Scarcity of Well-Curated Data 17:19 Data Governance and Avoiding Discrimination 18:33 The Power of Unstructured Data 19:07 What is Synthetic Data? 20:40 Trust and Verify with Data 21:17 The 10-Year Moratorium on State AI Policy 22:06 Why the Moratorium is a Bad Idea 23:00 AI's Negative Implications (Deepfakes, Mental Health) 24:43 Innovation Has Implications 26:56 The Exponential Growth Trajectory 27:55 The Business Responsibility to Act Responsibly 29:43 Solving Business Problems, Not Just Talking AI 34:09 AI Disruption in Interior Design 35:33 The Enduring Value of Human Taste 37:42 The "Messy Middle" and the Experience Gap 41:26 The Innovator's Dilemma 43:05 AI Democratizes Knowledge  45:17 Historic Capital Investment in Data Centers 46:39 AI's Net Impact on the Environment (Efficiency vs. Consumption) 49:04 Concerns about an AI Data Center Bubble 51:46 Lessons from the Social Dilemma 52:51 The Risk of Tech Company Concentration 54:03 The Political Ramifications of Automation and UBI 58:11 The Need for Real Leadership and Reimagining the Business 01:00:15 Case Study: A Company's Successful AI Transformation 01:06:52 Managing a System of AI Agents 01:07:54 New Jobs Are Coming (World Economic Forum) 01:10:21 Personal Excitement: Transforming Education 01:12:10 Advice for the Incoming College Freshman 01:14:28 Advice for Graduates Facing Job Disruption 01:17:44 Rethinking Curriculum: Oral Exams in Math and AI Literacy ---------------------------------------------------------------------------------------------- Follow us on: Seema Alexander Disruptive AI -We Make Businesses Intelligent (www.getdisruptive.ai) Instagram: https://www.instagram.com/seemaalexander/ LinkedIn: https://www.linkedin.com/in/seemaalexander/ The AI CEO Instagram: https://www.instagram.com/theaiceopodcast/?hl=en LinkedIn: https://www.linkedin.com/company/the-ai-ceo-podcast/ Brad Carson LinkedIn : https://www.linkedin.com/in/brad-carson-82b8a253/

$300M in 8 Months: The GenAI Bet They Said Would Never Work 🔥 SHOW NOTES: What if the AI project your exec team rejected went on to generate $300 million in revenue? In this powerful episode of The AI CEO Podcast, Noelle Russell — founder of the AI Leadership Institute and one of the original builders on Alexa — reveals how she went from pitching a GenAI idea nobody believed in... to leading one of the most profitable AI initiatives in the enterprise world. You'll learn why most leaders get AI adoption wrong, the hidden ROI of agents, and why every executive must stop treating AI like a tools problem — and start treating it like a power shift. ⏱ IN THIS EPISODE: (00:00) Intro: Welcome + "You might never hire another human again" (01:50) Meet Noelle Russell: From Alexa to Accenture to AI Leadership (13:16) $300M in GenAI Revenue — and Why Everyone Laughed at First (20:13) The Customer Service Transformation Story (23:23) Why Starting with Data is a Mistake (29:51) AI in Consulting: Automation and Sales Intelligence (31:59) AI in Health + Caregiving: Noelle's Personal Story (34:20) Precision Healthcare: DNA, Personalization, and AI (38:02) The Future of Retail: Aesthetic AI + AI Shopping Companions (42:53) The Speed of Adoption vs. Human Behavior (46:06) AI Agents: Why They're Not Your Teammates (52:01) Responsible AI: Governance, Red Teaming, and Security Risks (55:58) AI for Emerging Businesses: Why the Solo Unicorn is Real (01:04:33) The Infrastructure + Memory Layer of Future AI Systems (01:05:57) Training LLMs: The Challenges Most Leaders Overlook (01:08:51) Personalization, Agents, and AI Fluency for Execs (01:12:32) Future of AI: Agents + Emotional Intelligence (01:15:27) The Human Connection Advantage (01:25:43) Lightning Round with Noelle (01:33:17) Final Thoughts + Resources 🧠 WHAT YOU'LL LEARN: Why GenAI isn't about "tools" — it's about transforming decision-making. The mindset shift from "teammates" to zero-trust AI agents. How to build AI systems responsibly — without slowing innovation. What healthcare, retail, consulting, and founders can learn from this $300M case study. Why AI + human empathy is the secret weapon most companies are missing. 📌 KEY TAKEAWAYS: Don't start with data. Start with a real business problem worth solving. Your agents aren't teammates. They're untrusted contractors — treat them as such. Responsible AI = Security + Accuracy + Trust — not just a buzzword. The future of AI is human-amplifying, not human-replacing. 🔗 RESOURCES & LINKS: 📖 Scaling Responsible AI: From Enthusiasm to Execution 👉 Buy the book 🌐 Noelle Russell: • AI Leadership Institute • Noelle on LinkedIn 🌐 Seema Ponda Alexander — CEO & Founder of Disruptive AI: • Disruptive AI • LinkedIn • Instagram 🎧 Podcast production by EZPZ Podcasting ⭐️ LOVE THIS EPISODE? Leave us a rating & review on Apple Podcasts — it helps more leaders find the future

Why Most AI Projects Fail w/ Uviks Sharma & Padmini Soni 📌Make sure to check out Asian Women Advancing AI https://awaai.org/ In this week's episode of the AI CEO podcast, host Seema Alexander sits down with AI leaders Padmini Soni and Uvika Sharma to explore the multifaceted world of AI adoption, responsible AI development, and cultural inclusivity in AI. Padmini and Uvika, co-founders of the Asian Women Advancing AI community and leaders at the AI Leadership Institute, share insights from their extensive experience advising Fortune 500 companies and startups. They discuss the critical need for AI models that embrace global cultural nuances, the challenges of aligning AI strategies with business goals, and the importance of trust in AI-human interaction. The conversation delves into practical adoption hurdles such as data silos, change management, and the emerging roles AI literacy and education play for both employees and the next generation. The episode also touches on innovative AI use cases including predictive analytics, conversational agents, mental health applications, and preserving lost languages. As AI shapes the future of work and society, they emphasize the value of collaboration between humans and AI, responsible stewardship, and fostering inclusive, diverse AI ecosystems. Key takeaways AI adoption must align with clear business goals and include cross-functional teams early for effective change management.   Responsible AI requires cultural inclusivity to build trust and deliver relevant, human-centered solutions worldwide.   Data readiness and governance are foundational to AI success; treating data as a well-maintained product prevents data chaos.   AI literacy across organizational levels and age groups is essential to harness AI's benefits while mitigating risks. 👉 In this episode (00:00) Introduction (01:35) Welcome to the AI CEO Podcast (02:37) Meet the Guests (05:58) The Importance of Trust in AI (12:13) Challenges in AI Adoption (22:19) The Future of AI: Predictions and Concerns (44:23) Opportunities for Entrepreneurs in AI (44:54) AI Training on Finished vs. Unfinished Code (46:27) The Importance of Data in AI (48:31) Data Governance and Integration (54:38) AI Literacy and Workforce Upskilling (01:00:00) AI in Education and Critical Thinking (01:06:13) Challenges of AI in the Workplace (01:12:02) Future of AI and Robotics (01:12:32) Rapid Fire Questions and Closing Remarks 🌎Reach out to Padmini and Uvika 🌎Reach out to Padmini and Uvika Padmini Soni ➛LinkedIn: https://www.linkedin.com/in/padminisoni-ai ➛Founder of Rezonance AI  ➛Head of Responsible AI Growth at the AI Leadership Institute ➛Asian Women Advancing AI community co-founder Uvika Sharma ➛LinkedIn: https://www.linkedin.com/in/uvika-sharma ➛AI & Data Strategist, Founder of Asian Women Advancing AI ➛AI 2030 🌎Reach out to Seema Ponda Alexander ➛CEO, Disruptive AI ➛Host, AI CEO Podcast ➛Managing Partner and Founder, AIBusinessCon (April 26) ➛Disruptive CEO Advisory https://www.disruptive.ceo/ LinkedIN: ➛https://www.linkedin.com/in/seemaalexander ➛IG: https://www.instagram.com/seemaalexander/?hl=en Love this episode!! Subscribe! 🎤 Podcast Studio: Legacy Sessions (DC) 🎤 Podcast post-production EZPZ Podcasting #AI #ArtificialIntelligence #FutureOfWork #AILeadership #ResponsibleAI #AIInBusiness #AIAdoption #AIInnovation #AITrust #AILiteracy #InclusiveAI #WomenInAI  

What does Gen Z really think about AI in school, cheating with ChatGPT, and the future of jobs? Their answers will shock you. 😳 In this special MINI edition of The AI CEO Podcast, host Seema Alexander sits down with Aria Ponda (11th grader, Winston Churchill HS) and Sareena Alexander (11th grader, Whitman HS) for an unfiltered, family edition conversation on how teens view AI. This episode gauged their candid insights on AI in education and dives into how students view AI tools—as both a potential form of cheating and a helpful research aid—along with the challenges teachers face in adapting to AI's presence in the classroom. Aria shares insights from her own experience with AI in school projects and highlights the need for integrating AI responsibly and thoughtfully into education, including the concept of custom AI tools with safeguards. This episode offers a valuable glimpse into the evolving relationship between youth and AI technology, aiming to inform educators, business leaders, and anyone curious about the future of learning. 👉Key takeaways  Why Gen Z is skeptical of AI beyond ChatGPT The debate: Is using AI in homework cheating or efficiency? What schools and teachers must do to guide safe AI use Could AI tutors replace human ones? Fears about AI taking jobs vs. hopes for AI in medicine & social good High school teachers are generally resistant to or not yet embracing AI integration in classrooms. Custom AI tools with guardrails can help students use AI responsibly without cheating. There is a knowledge gap among students about how to effectively and ethically use AI technology. 👉 In this episode (01:08) High School Students' Perspective on AI (01:59) AI and Cheating in Education (02:23) Teachers' Attitudes Towards AI (03:43) Using AI as a Learning Tool (07:28) Concerns About AI in the Future  (15:02) The Role of AI in Future Jobs (16:15) Excitement and Skepticism About AI (17:35) Conclusion and Final Thoughts     🌎Reach out to Seema Ponda Alexander Disruptive AI https://www.disruptive.ceo/ Follow Seema on LinkedIn for daily insights: linkedin.com/in/seemaalexander IG: @seemaalexander @theaiceopodcast   👉 If you're a parent, educator, startup founder, edtech innovator, or business leader, this is a must-watch to understand how the next generation is really thinking about AI.   📌 Subscribe for more real conversations on AI, leadership, and the future of business: @AICEOPodcast   🎧 Loved this episode? Leave a review on Apple Podcasts — it helps more leaders discover conversations like this.   Production Studio: Legacy Sessions    #GenZ #AICEOPodcast #AIinEducation #ChatGPT #FutureOfWork #EdTech #AIForBusiness #edtech #aiandteens #teenagers

From "Black Box" to Business Breakthroughs: Sid Banerjee on AI, Customer Experience & The Future of Agency DESCRIPTION: What happens when a billion-dollar founder who was building "AI" before it was even a buzzword sits down to talk about where it's all headed? In this episode of The AI CEO Podcast, host Seema Alexander welcomes Sid Banerjee—founder of Clarabridge (acquired for $1B), former Chief Strategy Officer at Medallia, and Board Chair of Prolific—to unpack the future of customer experience, the rise of agentic AI, and the leadership mindset shifts every CEO will need to make. Sid reveals why AI today still operates like a "black box" and why transparency, data stitching, and multi-tech collaboration will define the next era. He shares the aha moment that changed how he saw AgTech, and why giving AI "true agency" could fundamentally reshape entire industries. But this isn't just about technology—it's about responsibility. Sid warns of AI's dual-edged nature: its ability to increase profitability and efficiency, but also its potential to erode human connection or enable addictive, harmful experiences. From real-world Clarabridge case studies to the coming bot-to-bot economy, and from personalized hospitality experiences to why governance can't wait 10 years, this conversation is a masterclass in building with foresight, precision, and impact. You'll learn: Why AI customer experiences still "suck" and how to fix them The difference between tasks, to-dos, and true agentic action How to move from lagging metrics to leading indicators in CX The 4-part ROI framework for AI adoption When AI adoption will actually cross the chasm—and where first TIMESTAMPS: 00:00 Intro 01:47 Meet Sid Banerjee 04:39 Why customer experience is still broken 10:45 The role of agentic AI 13:44 Clarabridge: Building before the AI hype 23:26 AI's evolution in business 35:08 Precision + personalization in decision-making 38:25 The future of hospitality and personalization 41:23 Mattel, OpenAI & the ethics of AI in toys 45:14 Why AI governance can't wait 50:39 Data privacy & security 55:03 The ROI framework for AI projects 58:44 Future predictions & rapid fire Connect with Sid: LinkedIn: Sid Banerjee Medallia: Sid's Author Page Connect with Seema: Virgent AI: virgent.ai Disruptive CEO Advisory: disruptive.ceo LinkedIn: Seema Alexander Instagram: @seemaalexander 🎧 Loved this episode? Leave a review on Apple Podcasts — it helps more leaders discover conversations like this. Production Studio: Legacy Sessions

Is this the end of work as we know it? Or the beginning of a new kind of freedom? In this provocative episode of The AI CEO Podcast, host Seema Alexander sits down with Catherine McMillan, founding director of the AI Collective — a global grassroots movement redefining the role of humans in the age of AI. What started in a living room is now a 70,000+ member movement across 25 cities and 7 countries, united by one mission: to center humanity in the AI revolution. Together, Seema and Catherine unpack: The moment Catherine knew ChatGPT was the "end of work as we know it" Why today's students feel betrayed by traditional career paths How AI is erasing critical thinking — and what we must protect Why "taste, agency, and relationships" will define the next generation of leaders The real reason we need a new education system NOW This episode will challenge how you think about the future of work, technology, and your own role in shaping it. 👇 Whether you're a founder, policymaker, or just AI-curious — don't miss this one. 🧠 What You'll Learn: How AI is quietly collapsing traditional white-collar paths Why "digital natives" see this as the next civil rights movement The 3 human traits that AI can't replace — and how to sharpen them How grassroots AI communities like AI Collective are shaping global policy and innovation ⏱️ Episode Timestamps: (00:00) Intro & setup (01:54) Who is Catherine McMillan? (04:30) Origin of the AI Collective (70K members globally) (10:55) The moment ChatGPT changed everything (21:56) Why taste, agency, and human connection matter more than ever (28:00) Education, creativity, and what we're doing wrong (43:15) Why this isn't just tech — it's a humanity mission 📌 LINKS & RESOURCES: Catherine McMillan 🌐 AI Collective 🔗 LinkedIn Seema AlexanderAI is Rewriting Business. I Work with CEOs Who Refuse to Be Disrupted—Ready to Lead in the AI Era. I speak, educate and build AI solutions to accelerate AI Adoption in businesses and industry safely and responsibily. 🌐 Host, The AI CEO Podcast 📈 Disruptive CEO Advisory 📲 LinkedIn 📸 Instagram 🎧 Like what you hear? 📩 Subscribe for future episodes 🌟 Leave a rating + review on Apple Podcasts 📢 Share this with a founder or business leader who needs to hear it    

⚠️ If you think legal can wait until launch—you're already behind. In this episode of The AI CEO, I sat down with powerhouse attorneys Ambur Smith (Founder, Ambur Smith Law) and Cameron Powell (Founding Partner, Deep Law) for a no-BS conversation on the legal landmines, ethical dilemmas, and massive opportunities AI is creating across startups, scaleups, and enterprise. We unpacked: • Why "automating innovation" can easily become "automating liability" • The IP, contract, and privacy red flags that kill valuation at due diligence • Why GenAI isn't exempt from copyright—and what the courts actually look at • The myth of the AI-free workplace (spoiler: shadow AI is everywhere) • How to actually mitigate risk using AI as a legal tool (and yes—some lawyers use GPT in court) • What happens when an AI chatbot misquotes company policy in front of a judge 👀 • The biggest legal edge for founders in 2025 (hint: audit trail = valuation moat) Whether you're a tech CEO, in-house counsel, or just trying to stay out of the headlines—this one's essential. ⏱️ CHAPTERS / TIMESTAMPS (00:00) Introduction to the AI CEO Podcast (02:09) Meet the Expert Guests: ambur Smith and Cameron Powell (03:30) Legal Dynamics and AI (08:36) AI in Legal Practice: Tools and Trust (19:58) Challenges and Responsibilities in AI Adoption (45:11) Understanding AI in Legal Practice (46:03) Diverse Perspectives in Law and Technology (47:54) Use Cases: Successes and Failures (48:22) Risk Hierarchy and AI Implementation (50:38) Guardrails and Legal Research Tools (51:50) AI in Marketing and Real Estate (53:32) Innovations in Regulated Industries (55:30) Data Privacy and Ethical Considerations (57:54) Navigating Legal Risks in AI (01:13:25) The Future of AI in Legal Representation (01:20:29) Rapid Fire Questions and Final Thoughts 🔑 KEY TAKEAWAYS Liability-as-a-Service – Without legal vetting, your AI product isn't a SaaS. It's a ticking time bomb. Copyright ≠ AI Immunity – If your content was auto-generated, you may not own it—and can't enforce it. Red Line Rule – If you didn't revise the AI's draft, you may not hold the copyright. Shadow AI Is Real – Banning AI tools doesn't stop your team from using them (secretly). Trust, but Verify – From discovery tools to ChatGPT, the best lawyers use AI—just not blindly. Generalist Advantage – The most valuable legal minds are those who blend tech, product, and policy fluency. 🌐 LINKS & RESOURCES • Ambur Smith Law – https://ambursmithlaw.com • Deep Law (Cameron Powell) – [Insert Link] • Virgent AI (show sponsor) – https://virgent.ai • Seema Alexander – https://www.linkedin.com/in/seemaalexander 🙌 CONNECT WITH ME Instagram – https://www.instagram.com/seemaalexander Newsletter + consulting – https://www.disruptive.ceo/ ⭐️ ENJOYING THE SHOW? Smash the like button. Tap 5 stars on Apple Podcasts. Share this episode with someone launching an AI product today—before the lawsuits hit tomorrow.