Luis 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 LEARN

Why current AI coding tools are already replacing front-end development

How legacy code bases can be cleared of technical debt using AI agents

How "vibe coding" without software engineering foundations exposes apps to critical security flaws

How developer roles are transforming into agentic engineering, high-level architecture, and code reviewing

How enterprise engineering teams can safely adopt AI tools using automated policy enforcement and AI review bots

CHAPTERS

00:00 Introduction

00:38 The Reality of AI Coding

06:39 Limits and Capabilities of AI

08:36 The Evolution of Engineering Roles

12:00 Risks of Vibe Coding

15:07 Adapting Engineering Careers

17:24 Corporate Implementation and Security

21:18 Practical Advice for Engineers and Organizations

Learn more about Luis Rodrigues: linkedin.com/in/lfrodrigues/

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/

If you found this episode valuable, like, share, and comment

It helps us reach more people and spark thoughtful conversations on AI and society.

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You liked this episode? Share it around you, like it on the podcasting platform, give us feedback !

You would like to be a sponsor of the AI Social Club? Contact us on LinkedIn

We are on:

• LinkedIn: https://www.linkedin.com/company/the-ai-social-club/
• Instagram: https://www.instagram.com/theaisocialclub/

Find out more about The AI Social Club on our website: https://www.thesocialclub.ai/

Hosted on Acast. See acast.com/privacy for more information.

In 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 accountability

CHAPTERS

00:00 Intro and what it means to build an AI system in advertising

01:34 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 Takeaways

CONNECT AND SUBSCRIBE

Learn 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/7d3XmTgIhXqim1r63a1yWH

Apple Podcasts: https://podcasts.apple.com/us/podcast/the-ai-social-club/id1793045703

YouTube: https://youtu.be/r_Ppy9XLzEU

LinkedIn:

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.

-

You liked this episode? Share it around you, like it on the podcasting platform, give us feedback !

You would like to be a sponsor of the AI Social Club? Contact us on LinkedIn

We are on:

• LinkedIn: https://www.linkedin.com/company/the-ai-social-club/
• Instagram: https://www.instagram.com/theaisocialclub/

Find out more about The AI Social Club on our website: https://www.thesocialclub.ai/

Hosted on Acast. See acast.com/privacy for more information.

David 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 LEARN

How energy is becoming one of the biggest bottlenecks for large-scale AI adoption

Why AI infrastructure is moving from centralized data centers toward distributed computing

What data sovereignty really means for governments and businesses using AI

Why open source AI models are becoming an increasingly attractive alternative for many organizations

How AI agents are changing productivity inside companies and what leaders should prepare for

Why organizations need to develop internal AI capabilities instead of relying entirely on external providers

CHAPTERS

00:00 Introduction

05:32 Why energy is becoming AI's biggest constraint

10:27 How Antimatter uses distributed energy for AI infrastructure

18:01 Why data sovereignty matters in the AI era

31:27 Training versus inference explained

34:01 Open source AI versus proprietary models

39:21 AI agents and the future of work

44:53 Building an AI-first company culture

50:32 The long-term vision behind Antimatter

CONNECT AND SUBSCRIBE

Learn more about David Gurle: https://www.linkedin.com/in/davidgurle/

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/

If you found this episode valuable, like, share, and comment.

It helps us reach more people and spark thoughtful conversations on AI and society.

-

You liked this episode? Share it around you, like it on the podcasting platform, give us feedback !

You would like to be a sponsor of the AI Social Club? Contact us on LinkedIn

We are on:

• LinkedIn: https://www.linkedin.com/company/the-ai-social-club/
• Instagram: https://www.instagram.com/theaisocialclub/

Find out more about The AI Social Club on our website: https://www.thesocialclub.ai/

Hosted on Acast. See acast.com/privacy for more information.

Luis 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 today

CHAPTERS

00:00 Introduction

01:10 Why AI is changing the future of work

03:00 Which jobs may be affected first

05:15 The challenge facing graduates and junior professionals

07:20 What company layoffs reveal about AI adoption

10:40 How consulting firms are adapting their business models

12:15 Why business understanding matters more than tasks

15:15 Why every professional should learn AI tools

19:20 AI, automation and workflow transformation

21:00 Which jobs may remain more resilient

24:00 Final thoughts on the future of work

CONNECT 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 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-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.

-

You liked this episode? Share it around you, like it on the podcasting platform, give us feedback !

You would like to be a sponsor of the AI Social Club? Contact us on LinkedIn

We are on:

• LinkedIn: https://www.linkedin.com/company/the-ai-social-club/
• Instagram: https://www.instagram.com/theaisocialclub/

Find out more about The AI Social Club on our website: https://www.thesocialclub.ai/

Hosted on Acast. See acast.com/privacy for more information.

In 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.

• Why some companies are experimenting with AI-led interviews using video or avatars
• What research suggests about candidate satisfaction and efficiency in automated interviews
• Why many hiring managers are not formally trained to conduct interviews
• How AI can help standardize and reduce bias in interview processes
• Why the recruitment process often feels broken for candidates, including ghosting and long response times
• How leaders can introduce AI into hiring step by step, starting with sourcing or screening

00:00 Introduction

01:26 The rise of AI interviews using video, voice, and avatars

02:16 Research on automated interviews and candidate satisfaction

03:40 Why many interviewers are not trained to hire effectively

05:11 Do AI interviews work for all personality types and roles?

07:00 Using AI to automate tasks while keeping human judgment

08:49 How technology could make the hiring process more human

09:29 Recruitment challenges and candidate experience in the Middle East

17:20 Will recruiters and headhunters disappear with AI?

20:37 Advice for leaders introducing AI into their hiring process

Learn more about them: https://www.shortlistd.io/

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// 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.

-

You liked this episode? Share it around you, like it on the podcasting platform, give us feedback !

You would like to be a sponsor of the AI Social Club? Contact us on LinkedIn

We are on:

• LinkedIn: https://www.linkedin.com/company/the-ai-social-club/
• Instagram: https://www.instagram.com/theaisocialclub/

Find out more about The AI Social Club on our website: https://www.thesocialclub.ai/

Hosted on Acast. See acast.com/privacy for more information.

Alix 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 use

CHAPTERS

00:00 Introduction

01:10 Why AI has no taste or emotion

03:00 AI as another creative tool in the toolbox

05:40 Using AI in early-stage design and print creation

07:10 The risk of AI creating noise without brand identity

09:00 Craft, materials, and why touch still matters

12:15 Education and awareness around AI risks

15:30 How AI changed internal workflows and roles

18:00 Using AI as a CEO and creative decision partner

21:40 Transparency, consumer reactions, and AI campaigns

25:20 Can AI understand beauty

29:00 Final thoughts on curiosity and experimentation

CONNECT 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 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-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.

-

You liked this episode? Share it around you, like it on the podcasting platform, give us feedback !

You would like to be a sponsor of the AI Social Club? Contact us on LinkedIn

We are on:

• LinkedIn: https://www.linkedin.com/company/the-ai-social-club/
• Instagram: https://www.instagram.com/theaisocialclub/

Find out more about The AI Social Club on our website: https://www.thesocialclub.ai/

Hosted on Acast. See acast.com/privacy for more information.

In 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 systems

CHAPTERS

00:00 Introduction

01:10 Why hiring feels broken today

05:20 Recruiter pain points and application overload

09:40 How AI applications and CVs increase noise

13:05 Why keyword screening fails

17:30 Rethinking screening through conversations

21:10 Candidate experience and fairness in hiring

26:05 Ethical questions around data and bias

31:40 Advice for job seekers using AI tools

35:40 Final thoughts on the future of recruitment

CONNECT AND SUBSCRIBE:

Learn more about the guests:

https://www.linkedin.com/in/yatin-vij/

linkedin.com/in/adilgwiazdowski/?skipRedirect=true

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// 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.

-

You liked this episode? Share it around you, like it on the podcasting platform, give us feedback !

You would like to be a sponsor of the AI Social Club? Contact us on LinkedIn

We are on:

• LinkedIn: https://www.linkedin.com/company/the-ai-social-club/
• Instagram: https://www.instagram.com/theaisocialclub/

Find out more about The AI Social Club on our website: https://www.thesocialclub.ai/

Hosted on Acast. See acast.com/privacy for more information.

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/

If you found this episode valuable, like, share, and comment.

It helps us reach more people and spark thoughtful conversations on AI and society.

-

You liked this episode? Share it around you, like it on the podcasting platform, give us feedback !

You would like to be a sponsor of the AI Social Club? Contact us on LinkedIn

We are on:

• LinkedIn: https://www.linkedin.com/company/the-ai-social-club/
• Instagram: https://www.instagram.com/theaisocialclub/

Find out more about The AI Social Club on our website: https://www.thesocialclub.ai/

Hosted on Acast. See acast.com/privacy for more information.