Legal AI Lab
Legal AI Lab

Brando Benifei: Why Regulating AI Is the Only Way to Save It

06 November 2025 41:21 Recht in je Oor | Hidde Bruinsma

Listen to episode

About this episode

The world’s first AI law didn’t happen by accident. It was a political fight.


Brando Benifei, Member of the European Parliament and lead negotiator of the EU AI Act, joins Legal AI Lab to reveal what really happened behind the scenes during the 36-hour negotiation that defined how artificial intelligence will be governed in Europe.


He explains how Big Tech lobbying tried to weaken the rules, why trust and transparency are key to innovation, and how the so-called “Brussels effect” could make the EU’s AI law a global benchmark.


Together with host Hidde Bruinsma, Benifei discusses how Europe’s human-first approach contrasts with the U.S. and China, and what this means for the future of AI, law, and democracy.



You’ll learn


  • How the EU AI Act became the world’s first comprehensive AI law
  • Why trust and accountability are essential for innovation
  • What role Big Tech lobbying played in shaping the final text
  • How the Brussels effect exports EU rules to the rest of the world
  • What comes next for AI regulation and enforcement in Europe


Follow and subscribe, leave a review, and share this episode with colleagues and friends.


This episode is powered by Zeno. Zeno is an AI-native legal workspace built for Dutch and EU law.

Its AI navigates law like a human legal professional—secure, transparent, and grounded in authoritative sources.

Visit zeno.law and make deep thinking your competitive edge.


____


Chapters


0:00Introduction – Who is Brando Benifei and why the AI Act matters

1:45How the idea of an AI law in Europe began

3:20The 36-hour negotiation that shaped the AI Act

6:15Inside the political pressure and Big Tech lobbying

9:10Balancing innovation with regulation

11:40Why trust and transparency drive progress

14:05The Brussels Effect – how EU laws shape the world

16:25What makes the AI Act different from U.S. and China approaches

18:40How AI regulation impacts startups and small companies

21:00Human rights, bias, and the ethical limits of AI

23:30Enforcement: how the AI Act will actually work in practice

25:15What comes after the AI Act

27:00Closing thoughts – AI, democracy, and the future of trust


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

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 Legal AI Lab. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.