Uncorked: Episode 11 - AI Is Building My Cellar
Welcome to Episode 11 of Uncorked, the Cult Wines podcast. Tom Gearing, Co-founder and CEO of Cult Wines, is joined by Jonathan Stevenson, EVP of Cult Wines North America, with special guest Damon Segal, an entrepreneur, marketing strategist and AI specialist, and a passionate fine wine collector.
AI is changing how we search, decide and buy across everyday life. In this episode, we bring that lens to wine, looking at how AI could support buying decisions, build consumer confidence, and reshape parts of the industry, from provenance and fraud detection to vineyard practices.
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What topics were covered?
Meet Damon Segal
Damon Segal arrives with a rare overlap of worlds. He has spent years working in technology, marketing and AI, and he is also a committed fine wine collector. He talks about encountering artificial intelligence and machine learning in an earlier, more developer-led phase, then watching the tools become dramatically more usable as large language models brought AI into everyday workflows. That shift pushed him to experiment in a hands-on way, building processes that save time, surface patterns and help him think more clearly about decisions.
Wine is where it gets personal. Damon describes how buying can feel emotional and subjective, especially when you are trying to buy well and not just buy more. To add a bit more structure to his collecting, he built a simple setup that begins with his tasting history. He exports his purchase ratings, gives an AI assistant clear instructions about what he likes and what he is trying to achieve, then tests it against real merchant lists to see what the tool flags and why. He is clear that it is a support tool rather than a replacement for judgment, a way to organise choices and ask better questions before committing.
Follow Damon Segal: Instagram: @wineguide101 • Website: wineguide101.com
Data is the real edge
A recurring theme is that anyone can ask the same generic questions and get generic answers. Damon argues the edge comes from unique data and clean systems. The conversation moves to how internal datasets, trusted pricing information and personal preference signals can make AI genuinely useful rather than generic.
AI for everyday wine confidence
The conversation zooms out from collectors to everyday buyers. Tom raises the reality that most people are choosing under pressure, with limited knowledge and too many options. The group discuss how AI could help by taking in context such as budget, food and preferences, then narrowing the field. A simple example comes up, what to buy that goes well with a mushroom risotto at around £20.
At the same time, the risks are taken seriously. Ask lazy questions, and you can get lazy answers. The team talk about how homogeneity can creep in, and why better prompts, richer context and personalisation matter if these tools are going to improve wine decisions rather than flatten them.
Provenance, fraud detection & what technology could fix
Collectors care about provenance, and the episode spends time on what AI might do here, particularly using computer vision and pattern recognition to support fraud detection. Damon talks about the idea of a traceable passport for a bottle, and how tech could help buyers make decisions based on history and trust, not only price.
Tom and Jonathan add nuance from the fine wine market, including the practical difficulty of maintaining provenance for formats such as original wooden cases, how the physical realities complicate the digital ideal and the discussion of cost, how extra tracking features can create a premium that not every buyer will welcome.
Vineyards, robots & the next decade
The episode also looks beyond buying into production. Damon discusses the direction of robotics and sensors, and what that could mean for harvesting and vineyard management, especially in difficult terrain. The broader point is that technology is likely to become more relevant as producers deal with increasingly unpredictable conditions.
Overrated or undervalued
Jonathan runs a quick game of overrated or undervalued across wine and technology topics. It is fast, slightly provocative, and a good way to surface opinions without turning the episode into a lecture. Sweet wines get a moment, including Tom’s anecdote about tasting 1900 Yquem, and Damon’s mention of styles such as Vin Santo and Canadian ice wine. The calls are best heard in the episode itself.
Episode 11 explores where AI can genuinely help, where it can mislead, and how wine still relies on context, judgment, and trust. Damon’s perspective as both an AI practitioner and a wine collector makes for a grounded conversation, with practical ideas and sharp questions about what the industry may look like in the future.
If you’re curious how AI could shape the way we discover, buy and collect wine, this episode is a great one to press play on. Subscribe or follow us, send in your questions for the next episode, and join the conversation.
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