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.

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

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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.