Crashed
Crashed

Does AI need a “kill switch”?

02 July 2026 59:23 Alex Hudson

Listen to episode

About this episode

Sarah Breeden, the Bank of England’s deputy governor for financial stability, has talked about the potential need ot a “kill switch” for markets because agentic AI may force regulators to rethink how the financial system is governed.


Presenters Alex Hudson and Christ Stokel-Walker try to unpick the detail from the fantastic tabloid headlines.


Also, could we be facing the end of the need for websites?


Now that AI and search changes are leaving some news publishers with traffic drops of up to 90%, and online brands are seeing their traffic fall, is this really the end?

And will we all just stare at LLMs, social networks and forums?


Performance marketing pioneer Neil Patel, of NP Digital, discusses the future of search, AI's impact on SEO, and how businesses can adapt to the evolving digital landscape. This episode offers insights into how AI and LLMs are transforming marketing, content creation, and consumer behaviour.


Keywords: Neil Patel, AI Search, SEO, LLMs, Digital Marketing, Future of Websites, Content Strategy, AI in Business


Key topics

  • The shift from traditional search to AI-driven search
  • The impact of LLMs like ChatGPT and Gemini on SEO
  • Strategies for optimising for AI and LLMs
  • The importance of product quality over marketing in AI era
  • The future of websites and in-platform transactions
  • The role of digital PR and content in AI search
  • The changing landscape of journalism and content creation
  • Neil Patel's insights on product-led growth and innovation


To support, go to https://bit.ly/CrashedPodcast or search Crashed podcast


Follow:

Alex: www.instagram.com/alexhuds / www.tiktok.com/@alexhuds

Chris: www.instagram.com/cstokelwalker/ www.tiktok.com/@st0kel


Spotify: https://bit.ly/CrashedSpotify

Apple Podcasts: https://apple.co/4qkgmmV

RSS: https://bit.ly/CrashedRSS


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 Crashed. 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.