
Show Notes
The CTO Lens Podcast is back with Episode 17, and this week's edition is packed! Oh, and yes - this week's episode was filmed in person. David and Sophie are confirmed humans.
This episode features China's obsession with an open-source AI tool nicknamed "the Lobster" (aka Claude), Anthropic's token costs spiralling out of control - and an accidental leak of 500,000 lines of source code, plus a two-brother team on track for $1.8 billion in revenue with no big team, just AI. David and Sophie cut through the noise on the week's biggest tech stories.
We also bring you an exclusive pre-recorded conversation with David and Justin Reock (Deputy CTO at DX). Both dive deep into AI adoption inside engineering teams - what's actually working, what the data really shows, and why enterprises are quietly outperforming startups on AI productivity.
And the question circling every engineering org right now from our disaster diaries; Are we actually building a better team with AI, or just avoiding the harder conversation about what we really value? This week's diary entry hits close to home.
Link for London Tech Leaders Upcoming Events: https://luma.com/londontechleaders Link for London Tech Leaders Engineering Summit: https://registration.crowdcomms.com/londontech2026
More from The CTO Lens
In this week's episode of The CTO Lens, David is back from holiday and Sophie is fresh from the London Tech Leaders Summit, as they tackle a familiar challenge for technology leaders: dealing with non-technical executives and boards. With technology shaping almost every business decision, is it still acceptable for senior leaders to say they don't understand it? Or is the bigger risk an executive who thinks owning an iPhone makes them a technologist? David and Sophie explore where responsibility lies, how to bridge the gap between technology and the boardroom, and why a little curiosity goes a long way. (Expect an analogy involving jam doughnuts!) In the news, Starling Bank's move towards sovereign AI raises questions about whether building your own AI model is realistic for organisations without billions of transactions at their disposal. Meanwhile, Anthropic's latest workforce report reveals a shift in how employees work, with fewer junior hires, more meetings and some staff feeling more like AI supervisors than creators. And with growing scrutiny of social media platforms, should technology leaders be paying closer attention to the wider societal impact of AI? Plus, David and Sophie explore TIME's Best Inventions of 2026, from a tactile tablet helping blind sports fans follow the action to a robotic beekeeper that David, an amateur beekeeper himself, isn't entirely convinced by.
Sophie continues season three live from the London Tech Leaders Leadership Summit, bringing five more back-to-back conversations with tech leaders on stories and lessons from across their careers - from rethinking the technologist skill set to accessibility as a business imperative to how boards should prioritise change. This is part two. How AI Is Changing the Technologist Skill Set
Sophie closes out season three live from the London Tech Leaders Summit 2026. Part one features four back-to-back conversations with tech leaders on stories and lessons from across their careers. Part two follows on Thursday. From leading agentic development for 3,500 developers in a large corporation to building hands-on again at a startup
Sophie and David are back for episode 19, and once again there's no guest this week - which means it's straight into the news, followed by two of their own segments. David and Sophie spend time on two segments of their own for this episode given no guest this week. First, they dig into the idea of the "accidental CIO" - the notion that many of today's technology leaders got there through years of varied, messy, hands-on experience rather than a deliberate career plan, and what might be lost as the next generation is shaped instead by certifications and narrow specialisms. Then, in a rapid-fire closing segment, they're each handed ten pairs of essential leadership qualities and forced to keep only one from each pair - ambition or empathy, vision or execution, your biggest customer or your biggest engineer - arguing their way to a final top ten qualities for the tech leader of the future. In the news: OpenAI's AI agents were behind what cybersecurity professionals are calling the first reported AI agent-led government website hack anywhere in the world, after breaching both the Australian and US government systems. New research suggesting AI-driven efficiencies in US healthcare insurance may actually be driving costs up rather than down, and what that means for tech leaders trying to understand the wider systems their technology sits inside. A cybersecurity firm's discovery that around 16,000 Supabase-hosted databases - many of them vibe-coded - have been exposing personal data to the open web. And, for something lighter, Google's new AI-powered virtual wardrobe app that finally makes Cher's outfit computer from Clueless a reality.
Sophie and David are back for episode 18. This week, they've set themselves a challenge: run through the week's news without mentioning AI once (it does not entirely go to plan) and dispel five leadership myths. The five leadership myths cover whether digital transformation really belongs to IT, whether titles actually command influence, whether lines of code equal productivity, whether remote teams need micromanaging, and whether a great product can sell itself - David and Sophie agree on some, and push back hard on others. Among the news stories they did find: a BBC piece on social media addiction in over-55s and what it means for tech leaders to build KPIs that account for genuine harm, not just engagement. AWS's quiet admission - six months after airstrikes damaged its Bahrain and UAE infrastructure during the Iran war - that it has permanently lost some customer data, and what that means for how technology leaders actually calculate acceptable risk. The Revolut breach, where nearly 700 customers' sensitive data was handed over to hackers posing as Italian law enforcement, and the case for building a "sleep on it" delay into how teams respond to urgent-sounding requests. And Salesforce's Dreamforce conference outage, which took down the platform for over seven hours while staff were on stage praising its reliability.