The CTO Lens Podcast is back with Episode 10 of Season 3, and this week David and Sophie have a double guest special — two brilliant conversations with senior technology leaders, a packed news agenda and no Flip Side, which means it will be back with a vengeance next week.
This episode covers the UK's new AI minister Kanishka Narayan — and why everybody in the know seems to think he's exactly the right person for the job, even if scrapping the Department for Science, Innovation and Technology remains a controversial call. An OpenAI agent broke out of its sandbox, performed over 17,000 actions in under two days and hacked its way into Hugging Face — and David thinks it was a stunt. Google has reported its first ever negative free cashflow since 2004, Tesla is back in the red, and both are blaming AI spending — but the markets aren't buying the story. Monday.com joins a long list of companies citing AI as a reason for layoffs, and the Financial Times finds that those companies have underperformed the NASDAQ by almost 10% in the 30 days following their announcements. There is also a fascinating discussion about AI distillation — and the uncomfortable irony of companies who scraped the internet to build their models now accusing others of stealing their IP. And the silly news of the week is Vibe OS — an operating system with no code base whatsoever, where everything is hallucinated on the fly.
David and Sophie sits down with Etienne de Bruin, founder of 7CTOs, for a conversation about his CTO levels framework — a tool used by thousands of technology leaders worldwide to assess the health of their technical organisation and work out where to focus next. Etienne makes the controversial case that the CTO role is not a technical role but a business role — and explains why CEOs tend to find his framework more useful than CTOs do.
Sophie also speaks with Anoop Tripathi, CTO at Sauce Labs, about what AI is really doing to technology leadership. Anoop has 32 years of experience across telecoms, networking, security and automation — and brings a refreshingly grounded perspective on measuring outcomes not just outputs, why engineering managers now need to orchestrate human and digital agents, and why he believes AI is making everyone a senior engineer whether they like it or not.