# Episode - AI Doesn't Replace Your Thinking It Amplifies It Jimi Li

Page: https://stenobird.com/podcast/40-better-engineering-leadership-6759823/episode-ai-doesn-t-replace-your-thinking-it-amplifies-it-jimi-li
Text version: https://stenobird.com/podcast/40-better-engineering-leadership-6759823/episode-ai-doesn-t-replace-your-thinking-it-amplifies-it-jimi-li.md
Podcast: [40% Better - Engineering Leadership](https://stenobird.com/podcast/40-better-engineering-leadership-6759823)
Published: 2026-04-17T15:07:34+00:00
Episode link: https://www.spreaker.com/episode/episode-ai-doesn-t-replace-your-thinking-it-amplifies-it-jimi-li--71410834
Audio file: https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/71410834/episode_ai_doesn_t_replace_your_thinking_it_amplifies_it_jimi_li.mp3
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JSON: https://stenobird.com/v1/public/podcasts/40-better-engineering-leadership-6759823/episodes/episode-ai-doesn-t-replace-your-thinking-it-amplifies-it-jimi-li
Duration seconds: 2777

## Resource

What does it actually take to get real business value from AI? Jimi Li, CTO at ALM Media, has spent the last three years running AI initiatives inside a company that just went through a successful private equity exit — and he's got the framework to prove what works. From his early days in GE's global leadership program to building L'Oreal's e-commerce platform at scale, Jimi's career has always centred on one question: how does the work you're doing connect to business impact? That same lens is exactly how he approaches AI today. In this episode, Jimi breaks down the three categories of AI value every tech leader needs to understand — productivity, product enhancement, and new revenue streams — and explains why productivity is the most talked-about and the most dangerous if you don't have the right system to capture the gains. He also shares how cross-functional "fusion teams" are collapsing the feedback loop between engineering and the business, why AI fluency is becoming the dividing line between those who thrive and those who get left behind, and what the inflection point for mass adoption actually looks like. Key takeaways: AI value falls into three categories: productivity gains, embedding AI into core products, and new product or revenue creation — each requires a different strategy and measurement approach Productivity savings from AI are real but easily lost if your organisation isn't structured to capture them Cross-functional fusion teams that include sales, finance, product, and engineering dramatically accelerate the feedback loop and motivate developers by connecting their work to real outcomes AI fluency — knowing what's good, what's wrong, and how to direct the output — is what separates high performers from the rest The inflection point for mass AI adop…

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## Transcript

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