Mayur Kamat: recommendation

Transcript context

…These are awesome stories. Just the metaphor of the moving desk is so good. That's the epitome of a... Like what you're describing is what people now call founder mode, where the founder just goes in the details working on the problem. Brian Chesky actually did this at Airbnb while I was there. He took on a new product and was like mini CEO, essentially. I don't know if he'd called himself the product manager 'cause I don't think he loved product managers. He kind of famously got rid of product managers, which he didn't actually... But yeah, he did that very much and he sat with the team, kind of created a whole space for the team that he was in. These are awesome stories and really good example of a founder using their power to unblock and finding the highest leverage opportunities. To kind of start to close off our conversation, I'm going to take you to a couple recurring themes on this podcast, recurring segments on this podcast. First, we're going to visit AI Corner and in AI Corner I ask, what's a way that you have found to use AI in AI tool, a bunch of AI tools in your work to work more efficiently to work to create better quality work? I still haven't found a game changer for me personally. Something that I use right now and I'm a little bit not- He was like, now I am a little bit not sure that am I not doing something right, what the other people are, or I'm a little bit too jaded for it. So we have Gemini across the work. So for meeting notes and stuff, works great, especially for folks who don't make it. We use a tool called Writer for our copywriting and UX teams, especially because we are operating in Europe across several languages. So being able to generate that very quickly, especially for illustrations and in-app messages and stuff that's been a, several tools now. But Writer just has, the copywriting market is really well done over there. If you ask me across N26. But even when we did this at Binance or at Agoda, there are three areas where AI is complete game changer. One is on coding. Again, you can use whatever latest tool for prototyping or not most value, especially for the companies I have worked at, which are fairly large companies, very large code bases. Having some sort of co-pilot that's integrated with your repositories. Rough data, maybe somewhere between 18 to 25% productivity boost for a developer, which is fairly massive, right? So that's one category, game changer. Customer support, game changer. Whether we should do it at scale or not, that's a different kind of more ethical/human question to ask there. But for solving the bottom 70 percentile problems, "Why is my card declined? Why is there a hold on my account? What happened to the replacement card I shipped? Why is it not arrived?" Basic questions, AI automating now almost 60, 70% of that. Customers getting that real feedback. Game changer. And the last one is just on fraud and being able to just understand patterns better on real customers versus not. At Binance, we had this product where users could exchange crypto with each other. I could pay you Bitcoin and get Thai bath in return, huge amount of fraud. And they're using AI just to understand language patterns of fraudsters versus not fraudsters. Massive. So again, as a company level, there is an incredible set of advancements across these three areas: developer productivity, customer support, and fraud. But for me personally, I'm like, what would I use that suddenly makes me a better CPO? I'm still struggling a little bit over there, but I don't think we need something at that level because largely what still remains the domain of humans is decision making and taking the brunt of the impact of what decisions you make because I would love to blame AI for some of my bad decisions. That's not why [inaudible 01:18:10]. You can still do that. You can still do that even if it's not.…

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