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#17 Bridging the AI generation gap - Tony Evans - Author of Generation AI
Tony Evans spent over a decade at Meta working across technology, marketing, and leadership. He’s now the author of Generation AI and founder of his own AI company Onv.ai.
He focuses on the intersection of artificial intelligence, people, and organizational change.
In this conversation, Tony and Margot discuss why AI reveals more about a company’s culture than its tech stack, what’s actually holding back adoption in large organizations, and how leaders can navigate the cultural and generational tensions AI is surfacing. From executive fear to junior overconfidence, this episode dives into the human realities shaping the AI era at work.
You will learn:
- Why AI acts as a mirror, exposing organizational weaknesses in data, culture, and process
- How misalignment on basic definitions—like “customer”—can stall AI adoption
- Why AI is less about tools and more about mindset, learning, and trust
- What leaders need to understand about using AI personally and professionally
- How generational differences in AI use can create tension—and how to turn it into collaboration
- Why investing in team learning and collective intelligence matters more than ever
CHAPTERS
00:00 Introduction
01:15 Why Tony wrote Generation AI
03:00 How AI mirrors organizational strengths and flaws
06:00 What leaders get wrong about AI adoption
09:00 Should executives be trained in AI?
12:30 Why mindset shifts matter more than technical skills
16:00 Personal use of AI vs. organizational adoption
20:00 The hidden risks of banning AI tools
24:00 Gamification, prompting, and learning at all levels
28:00 The AI generation gap: juniors vs. executives
33:00 How to foster trust and reverse mentorship
38:00 What great leadership looks like in the AI era
44:00 Final takeaway
CONNECT AND SUBSCRIBE:
Learn more about Tony Evans: https://www.linkedin.com/in/thetonyevans/
Subscribe to The AI Social Club Podcast for more conversations with AI & data leaders
Website: https://www.thesocialclub.ai/
Spotify: https://open.spotify.com/show/7d3XmTgIhXqim1r63a1yWH
Apple Podcasts: https://podcasts.apple.com/us/podcast/the-ai-social-club/id1793045703
LinkedIn: https://www.linkedin.com/in/margot-bletterie/
https://www.linkedin.com/company/the-ai-social-club/
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29:52||Season 2, Ep. 24Luis Rodrigues is the Regional Head of Technology at Lab49, seasoned tech entrepreneur, executive, and venture builder, with deep expertise in AI integration, product strategy, and scaling digital platforms.In this episode, Luis sits down with Margot Bletterie and brings a practical, no-nonsense perspective to software engineering and digital transformation.WHAT YOU WILL LEARNWhy current AI coding tools are already replacing front-end developmentHow legacy code bases can be cleared of technical debt using AI agentsHow "vibe coding" without software engineering foundations exposes apps to critical security flawsHow developer roles are transforming into agentic engineering, high-level architecture, and code reviewingHow enterprise engineering teams can safely adopt AI tools using automated policy enforcement and AI review botsCHAPTERS00:00 Introduction00:38 The Reality of AI Coding06:39 Limits and Capabilities of AI08:36 The Evolution of Engineering Roles12:00 Risks of Vibe Coding15:07 Adapting Engineering Careers17:24 Corporate Implementation and Security21:18 Practical Advice for Engineers and OrganizationsLearn more about Luis Rodrigues: linkedin.com/in/lfrodrigues/Subscribe to The AI Social Club Podcast for more conversations with AI & data leadersWebsite: https://www.thesocialclub.ai/Spotify: https://open.spotify.com/show/7d3XmTgIhXqim1r63a1yWHApple Podcasts: https://podcasts.apple.com/us/podcast/the-ai-social-club/id1793045703LinkedIn:https://www.linkedin.com/in/margot-bletterie/https://www.linkedin.com/company/the-ai-social-club/ If you found this episode valuable, like, share, and commentIt helps us reach more people and spark thoughtful conversations on AI and society.
23. #23 Rethinking the Agency Model with AI - Anyce Nedir, Needle
31:47||Season 2, Ep. 23In this episode, Margot Bletterie speaks with Anyce Nedir, Founding Systems and Ops Lead at Needle. With over 20 years of experience in advertising and creative agencies across Paris and Dubai, Anyce defines what AI integration should look like.What you'll learn:- About the challenges and opportunities with using AI at advertising agencies- Why "human-in-the-loop" is often misunderstood, and why checking AI outputs after the fact isn't enough- Why defensibility comes from how well you define problems and manage context instead- How failure serves as a useful signal- Why agencies need to shift from selling time to delivering solutions and accountabilityCHAPTERS00:00 Intro and what it means to build an AI system in advertising01:34 Should we always chase the latest AI models 05:09 Where does a human fit in when building and maintaining an AI product?12:59 What profiles or types of people are building and maintaining these products?15:20 How can juniors build their professional judgment in a market automated by AI?17:40 How is the advertising agency business model being challenged by AI?20:11 How will agencies compete if they all have access to the same AI capabilities?23:40 What are the quick wins for a small agency trying to start its AI transformation?25:13 How do you stay up to date and choose the right models when technology evolves so fast?26:57 How do you make sure an AI system works when it uses multiple subsystems talking together?30:14 Final TakeawaysCONNECT AND SUBSCRIBELearn more about Anyce Nedir: https://www.linkedin.com/in/anyce-nedir-3915394/Subscribe to The AI Social Club Podcast for more conversations with AI and data leaders:Website: https://www.thesocialclub.ai/Spotify: https://open.spotify.com/show/7d3XmTgIhXqim1r63a1yWHApple Podcasts: https://podcasts.apple.com/us/podcast/the-ai-social-club/id1793045703YouTube: https://youtu.be/r_Ppy9XLzEULinkedIn: https://www.linkedin.com/in/margot-bletterie/https://www.linkedin.com/company/the-ai-social-club/If you found this episode valuable, like, share, and commentIt helps us reach more people and spark thoughtful conversations on AI and society.
22. #22 The Real AI Race: Energy, data & sovereignty - David Gurle, Co-founder & CEO of Antimatter
52:16||Season 2, Ep. 22David Gurle, Co-Founder & CEO of Antimatter, joins Margot Bletterie to explore why the future of AI will be shaped by energy, data sovereignty, and infrastructure rather than model performance alone.Drawing on decades of experience building internet infrastructure, Microsoft collaboration technologies, Skype for Business, Symphony, HiveNet and PolyCloud, David explains why AI's biggest constraints are shifting from algorithms to compute, electricity, and control over data. He also shares how Antimatter aims to make AI more accessible through distributed infrastructure built around unused energy resources.WHAT YOU WILL LEARNHow energy is becoming one of the biggest bottlenecks for large-scale AI adoptionWhy AI infrastructure is moving from centralized data centers toward distributed computingWhat data sovereignty really means for governments and businesses using AIWhy open source AI models are becoming an increasingly attractive alternative for many organizationsHow AI agents are changing productivity inside companies and what leaders should prepare forWhy organizations need to develop internal AI capabilities instead of relying entirely on external providersCHAPTERS00:00 Introduction05:32 Why energy is becoming AI's biggest constraint10:27 How Antimatter uses distributed energy for AI infrastructure18:01 Why data sovereignty matters in the AI era31:27 Training versus inference explained34:01 Open source AI versus proprietary models39:21 AI agents and the future of work44:53 Building an AI-first company culture50:32 The long-term vision behind AntimatterCONNECT AND SUBSCRIBELearn more about David Gurle: https://www.linkedin.com/in/davidgurle/Subscribe to The AI Social Club Podcast for more conversations with AI & data leadersWebsite: https://www.thesocialclub.ai/Spotify: https://open.spotify.com/show/7d3XmTgIhXqim1r63a1yWHApple Podcasts: https://podcasts.apple.com/us/podcast/the-ai-social-club/id1793045703LinkedIn:https://www.linkedin.com/in/margot-bletterie/https://www.linkedin.com/company/the-ai-social-club/If you found this episode valuable, like, share, and comment.It helps us reach more people and spark thoughtful conversations on AI and society.
21. #21 Is AI coming for your job? - Luis Rodrigues, Lab49
27:41||Season 2, Ep. 21Luis Rodrigues, Regional Head of Technology Middle East at Lab49, joins Margot Bletterie to discuss one of the biggest questions surrounding artificial intelligence: what happens to jobs as AI becomes more capable.The conversation explores how AI is changing knowledge work, consulting, engineering, analysis, customer support, and other professional roles. Rather than focusing on speculation, Luis shares practical examples of how companies are already reorganizing teams, automating workflows, and redefining the skills that remain valuable.What you’ll learn* How AI is changing entry-level and junior professional roles* Why task-based work is becoming easier to automate* Why problem-solving and business understanding are becoming more important than technical execution alone* How consulting firms and service businesses are adapting their business models* Which types of jobs may remain more resilient as AI capabilities improve* How professionals can stay relevant by learning to work with AI tools todayCHAPTERS00:00 Introduction01:10 Why AI is changing the future of work03:00 Which jobs may be affected first05:15 The challenge facing graduates and junior professionals07:20 What company layoffs reveal about AI adoption10:40 How consulting firms are adapting their business models12:15 Why business understanding matters more than tasks15:15 Why every professional should learn AI tools19:20 AI, automation and workflow transformation21:00 Which jobs may remain more resilient24:00 Final thoughts on the future of workCONNECT AND SUBSCRIBE:Learn more about Luis: https://www.linkedin.com/in/lfrodrigues/Subscribe to The AI Social Club Podcast for more conversations with AI & data leadersWebsite: https://www.thesocialclub.ai/Spotify: https://open.spotify.com/show/7d3XmTgIhXqim1r63a1yWHApple Podcasts: https://podcasts.apple.com/us/podcast/the-ai-social-club/id1793045703LinkedIn:https://www.linkedin.com/in/margot-bletterie/https://www.linkedin.com/company/the-ai-social-club// the-ai-social-clubIf you found this episode valuable, like, share, and comment.It helps us reach more people and spark thoughtful conversations on AI and society.
20. #20 Are we ready to be interviewed by AI? - Yatin Vij & Adil Gwiazdowski - Shortlistd.io
20:32||Season 2, Ep. 20In this episode, Yatin Vij and Adil Gwiazdowski, co-founders of Shortlistd.io, join Margot Bletterie to explore how AI is reshaping the interview stage of hiring. The conversation looks at what happens when candidates are interviewed by AI systems using video, voice, or avatars.Together they discuss the practical realities of AI-driven interviews, the limitations of human interview processes, and how automation could improve the candidate experience while still keeping human judgment in the loop.What you’ll learnWhy some companies are experimenting with AI-led interviews using video or avatarsWhat research suggests about candidate satisfaction and efficiency in automated interviewsWhy many hiring managers are not formally trained to conduct interviewsHow AI can help standardize and reduce bias in interview processesWhy the recruitment process often feels broken for candidates, including ghosting and long response timesHow leaders can introduce AI into hiring step by step, starting with sourcing or screeningCHAPTERS00:00 Introduction01:26 The rise of AI interviews using video, voice, and avatars02:16 Research on automated interviews and candidate satisfaction03:40 Why many interviewers are not trained to hire effectively05:11 Do AI interviews work for all personality types and roles?07:00 Using AI to automate tasks while keeping human judgment08:49 How technology could make the hiring process more human09:29 Recruitment challenges and candidate experience in the Middle East17:20 Will recruiters and headhunters disappear with AI?20:37 Advice for leaders introducing AI into their hiring processCONNECT AND SUBSCRIBE:Learn more about them: https://www.shortlistd.io/Subscribe to The AI Social Club Podcast for more conversations with AI & data leadersWebsite: https://www.thesocialclub.ai/Spotify: https://open.spotify.com/show/7d3XmTgIhXqim1r63a1yWHApple Podcasts: https://podcasts.apple.com/us/podcast/the-ai-social-club/id1793045703LinkedIn:https://www.linkedin.com/in/margot-bletterie/https://www.linkedin.com/company/the-ai-social-club// the-ai-social-clubIf you found this episode valuable, like, share, and comment.It helps us reach more people and spark thoughtful conversations on AI and society.
19. #19 AI in fashion, where AI serves and creativity leads - Alix Petit Kece
29:39||Season 2, Ep. 19Alix Petit, founder and creative director of Heimstone and now CEO of The Refreshment Club, joins Margot Bletterie to discuss how AI fits into a fashion brand built on craft, texture, and creative intent.The conversation explores how AI can support creativity, operations, and decision-making without replacing human taste, emotion, or savoir-faire.This episode looks at the real trade-offs fashion leaders face when adopting AI in a creative industry.What you’ll learn • How Alix uses AI alongside hand drawing, illustration, and textile work in her creative process • Why taste, emotion, and human judgment remain central to creative direction in fashion • How AI is used for campaigns, content creation, and product launches when traditional shoots are not possible • The role AI plays in supporting business decisions, forecasting, and workflow optimization • Why using AI without a clear brand vision can dilute identity and create noise • How transparency, consumer perception, and ethics shape decisions around AI useCHAPTERS00:00 Introduction01:10 Why AI has no taste or emotion03:00 AI as another creative tool in the toolbox05:40 Using AI in early-stage design and print creation07:10 The risk of AI creating noise without brand identity09:00 Craft, materials, and why touch still matters12:15 Education and awareness around AI risks15:30 How AI changed internal workflows and roles18:00 Using AI as a CEO and creative decision partner21:40 Transparency, consumer reactions, and AI campaigns25:20 Can AI understand beauty29:00 Final thoughts on curiosity and experimentationCONNECT AND SUBSCRIBE:Learn more about GUEST: https://www.instagram.com/alix.petit.kece/Subscribe to The AI Social Club Podcast for more conversations with AI & data leadersWebsite: https://www.thesocialclub.ai/Spotify: https://open.spotify.com/show/7d3XmTgIhXqim1r63a1yWHApple Podcasts: https://podcasts.apple.com/us/podcast/the-ai-social-club/id1793045703LinkedIn:https://www.linkedin.com/in/margot-bletterie/https://www.linkedin.com/company/the-ai-social-club// the-ai-social-clubIf you found this episode valuable, like, share, and comment.It helps us reach more people and spark thoughtful conversations on AI and society.
18. #18 Rethinking recruitment in an AI-driven job market - Yatin Vij & Adil Gwiazdowski - Shortlistd.io
32:41||Season 2, Ep. 18In this episode, Yatin Vij and Adil Gwiazdowski, cofounders of shortlistd.io, join Margot Bletterie to unpack why hiring feels increasingly broken for both recruiters and job seekers. Drawing on their experience in recruitment and people management, they explain how AI is currently being used in hiring and where it genuinely helps versus where it creates new problems. The conversation focuses on real hiring pain points, candidate experience, and what a more fair and human recruitment process could look like.What you’ll learn • Why recruiters spend most of their time on admin work instead of speaking with candidates • How AI-driven applications and CVs have increased noise rather than reduced it • Why keyword-based screening often fails to identify the right candidates • How conversational approaches can make candidate evaluation more reliable • How AI can support recruiters without removing human judgment • Practical advice for job seekers navigating AI-driven hiring systemsCHAPTERS00:00 Introduction01:10 Why hiring feels broken today05:20 Recruiter pain points and application overload09:40 How AI applications and CVs increase noise13:05 Why keyword screening fails17:30 Rethinking screening through conversations21:10 Candidate experience and fairness in hiring26:05 Ethical questions around data and bias31:40 Advice for job seekers using AI tools35:40 Final thoughts on the future of recruitmentCONNECT AND SUBSCRIBE:Learn more about the guests:https://www.linkedin.com/in/yatin-vij/linkedin.com/in/adilgwiazdowski/?skipRedirect=trueSubscribe to The AI Social Club Podcast for more conversations with AI & data leaders- Website: https://www.thesocialclub.ai/- Spotify: https://open.spotify.com/show/7d3XmTgIhXqim1r63a1yWH- Apple Podcasts: https://podcasts.apple.com/us/podcast/the-ai-social-club/id1793045703- LinkedIn:https://www.linkedin.com/in/margot-bletterie/https://www.linkedin.com/company/the-ai-social-club// the-ai-social-clubIf you found this episode valuable, like, share, and comment.It helps us reach more people and spark thoughtful conversations on AI and society.
16. #16 The new AI-driven marketing team - Mohit Lodha, Founder of Takumi AI
36:26||Season 2, Ep. 16What will marketing teams look like in a world where AI agents handle execution and humans focus only on strategy and creativity? In this episode, Margot Bletterie speaks with Mohit Lodha, founder of Takumi, an AI consulting company helping brands implement real, ROI-driven AI solutions. With 20 years of experience in marketing across agencies and global brands, Mohit shares a grounded and practical view of how AI is transforming the industry.If you’re a marketer, CMO, founder, or creative professional trying to make sense of AI’s impact on your work, this conversation will give you clarity, direction, and concrete next steps.What you will learn • Why AI is supercharging marketing instead of replacing marketers, and how it reshapes creativity and strategy • The future role of the CMO and how marketing teams will evolve into fluid structures blending intuition and machine precision • Which AI use cases already deliver value today: creative automation, personalization, and AI agents • Why most companies stay stuck in experimentation and how to move from pilot to scale • How to protect creativity while embracing AI, and why prompting becomes a key creative skill • Practical advice for junior and senior marketers to stay relevant in an AI-driven industryChapters:00:00 Introduction 01:12 When AI started changing marketing 02:06 What marketing will look like in 5 to 10 years 03:43 Are CMOs ready for AI? 06:18 Why AI adoption is still slow 08:40 The most valuable AI use cases today 15:13 How AI impacts creatives 22:32 How to scale AI inside organizations 32:24 Trends to watch and Mohit’s adviceLearn more about Mohit Lodha: https://www.linkedin.com/in/mohitlodha/Subscribe to The AI Social Club Podcast for more conversations with AI and data leaders:Website: https://www.thesocialclub.ai/Spotify: https://open.spotify.com/show/7d3XmTgIhXqim1r63a1yWHApple Podcasts: https://podcasts.apple.com/us/podcast/the-ai-social-club/id1793045703LinkedIn:https://www.linkedin.com/in/margot-bletterie/https://www.linkedin.com/company/the-ai-social-club/If you found this episode valuable, like, share, and comment - it helps us reach more people and spark honest conversations about AI and society.