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.

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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.

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.