How your competitors are using AI in the Private Equity industry with Greg Nieuwenhuys

Guest: Greg Nieuwenhuys – Private Equity Advisor, Chairman & AI Expert
Topic: Unlocking Generative AI for Private Equity & Portfolio Companies

🔹 Intro & Background (0:00 – 2:00)

• Greg shares his 20+ years in PE-backed consumer goods: Baver (Netherlands), Cotterdardoor (UK), Mammoth, Wattbike, and No-Door.
• Passion for AI began two years ago, driven by a belief that GenAI is a business and people challenge—not a tech one.

🔹 What is Generative AI? (2:00 – 6:00)

• Difference: classic AI (recommendations) vs. GenAI (creating content—text, images, plans—and interpreting documents).
• GenAI enables rapid creation of marketing, investment memos, strategic plans, and more.

🔹 Common AI Misconceptions in PE (6:00 – 11:00)

• Myth: It’s a long, expensive IT project.
• Reality: Immediate impact possible—if teams are empowered and trained.
• Greg stresses: “This is a people challenge. CEOs—not just CTOs—must lead the charge.”

🔹 High-Impact Use Cases (11:00 – 18:00)

• Customer outreach & market mapping via AI.
• Recruitment: auto-generated job specs, AI interview notes, candidate matrices.
• AI’s biggest blocker? Lack of training—people haven’t “learned to drive the car” (use GenAI effectively).

🔹 Voice Prompting & Real-Time Examples (18:00 – 25:00)

• Greg showcases how he uses voice to interact with AI—writing emails, brainstorming use cases, even in Chinese.
• Prompts done via speech save time and boost output.
• GenAI as an “intern army”—needs clear direction and oversight.

🔹 PortCo Strategy (25:00 – 32:00)

• PE-backed firms should use GenAI for growth, not just cost-cutting.
• AI can reshape customer journeys and product innovation.
• Link GenAI to value creation plans: “How can AI help us grow faster, better, cheaper?”

🔹 Private Equity Funds Must Lead Too (32:00 – 39:00)

• Many PE funds expect portfolios to adopt AI—but don’t use it themselves.
• Greg supports fund-level training: mapping investment flow to identify use cases in screening, DD, deal memos, legal, and more.
• Example: “Sales Hunt” tool for sourcing targets with AI-powered outreach.
• GenAI allows same-size teams to evaluate more deals and increase velocity—without compromising quality.

🔹 Where to Start? (39:00 – 44:00)

• Overcome fear and decision paralysis.
• AI must be part of culture—non-use should be seen as “cheating the company.”
• Build internal champions to sustain the transformation.
• Key resources:
  • Dr. Ethan Mollick’s LinkedIn & site
  • AI Daily Brief podcast
  • 11Labs’ “ElevenReader” for converting articles into listenable audio

🔹 Contact Greg (44:00 – 45:00)

• LinkedIn: @Greg Nieuwenhuys

Key Takeaways:

• AI is a culture shift, not a tech add-on.
• Empower the entire team to use GenAI in everyday work.
• Start small, build momentum, and tie AI directly to growth strategy.
• Private equity must adopt AI internally to credibly promote it in portfolio firms.

Raw Selection partners with Private Equity firms and their portfolio companies to secure exceptional executive talent. We focus on de-risking executive recruitment through meticulous search and selection processes, ensuring top-tier performance and long-term success.

🔗 Connect with Alex Rawlings on LinkedIn: https://www.linkedin.com/in/alexrawlings/
🌐 Visit Raw Selection: www.raw-selection.com

Transcript

Welcome back to the Royal Selection Private Equity Podcast. Joining us today is Greg Neuenhuis,  Private Equity Advisor, Chairman and AI Expert. We're going to dive in here. We're going to show you examples of how Greg is using artificial intelligence,  using what he refers to as Genitive AI and how you can make that impact too, both at a private equity level  and a portfolio level.  This is a real hands-on deep dive. into AI  in the private-epsy sphere.  Greg, if you could give us a brief insight into you, Yeah,  fantastic. Well, thank you for having me on the show. I'm really excited and looking forward to this conversation. mean, basically, my background is over the last 20 years, I've been CEO and chair  of  lots of different consumer goods companies backed by private equity. So I've been chair of  CEO of Baver, the leading outdoor retailer in the Netherlands, and Cotterdardoor Store in Rok. which is a leading outdoor retailer in the UK. And I've recently been chair of Mammoth, the sportswear brand.  And also I'm currently chair of Wattbike and No-Door, which is the leading DARS brand in the world.  And so, yes, I am a very passionate mountaineer and ultra-rider. That's why I kind of  circled around those categories. But two years ago, I became very passionate about Genitive AI. And I realized that very few business leaders understand it and have implemented it well.  And actually most people think it's a tech challenge, whereas this is really a people challenge and a business challenge. And that's what I'm good at. And I think that's what most of your audience is good at. So hopefully I can  help understand, help people understand what Genesive AI is a bit better and make it bit more accessible for them and their businesses to drive change. Yeah, perfect. So just for a kickoff of that, how do you define generative AI? is, you know, we all understand to some degree AI, but when we put generative  in front of it, that probably changes the lens potentially. Yeah. So, I mean, AI has been around for decades and kind of when you listen to Netflix and Spotify, all the recommendations and the personalization in there is AI. Generative AI basically is kind of, it's the word generative where basically it can create and  interpret content at scale.  And it doesn't have to be kind of precursored, pre-written,  but it can create images, video, text, poems, investment memoranda, marketing campaigns, business plans, strategic plans. It can create all those things, but it can also read and interpret these documents where you give it to the AI. And that's the difference. Perfect. And  so what mistakes do you see private equity firms or portfolio companies making and what would you suggest to correct them? So how long do we have? No, think the biggest misconception is kind of what I spoke about earlier, is most business leaders tend to think that generative AI is a technology challenge. And so they think about, we need to tidy up our data, we need to put systems in place. This is going to be a six, 12, 18 month period before we get any benefits. It's like an ERP, it's going to be expensive. And in fact, the opposite is true. We've seen with clients that we can generate immediate impact within a few days. And the challenge really is because what we try to do is get the workforce to completely  use AI in most of the tasks they do. And then they end up doing it better, faster and cheaper. And they also be, they end up being happier because they can focus on their customers, their teams,  rather than having to doing these boring, repetitive tasks.  And it's getting that change that is really is the key.  so therefore it's much more a people challenge  than a tech challenge. And the other thing is people ask me all the time, like, what is the number one use case that's going to empower my business? And that's really the wrong way to think about it.  The best way to think about it is what is your value creation plan? And how is Genitiv AI going to help you  achieve that better, faster and cheaper? So think those are the misconceptions. you see in a lot of organizations, Genitiv AI sits with the CTO or the IT team and it becomes fully a tech program and it never goes far. It needs to be owned by the CEO  and the people in the organization basically need to be empowered, supported with training and incentivized in some cases to really drive that change and behavioral change. So talk to us about some of  the use cases for  for AI that you've been working with. And because I think one of the things is it becomes a bit of a minefield. You know, I run an executive service business. We've got AI tools within our business  that we're leveraging, but equally I had an  AI consultant come in and speak to us and he was like, what do you want to help with AI on? And I was like, what can AI do for us? And he was like, we're in a bit of a catch 22 here because I need to know what you need it for. And I'm like, well, I need to know what it does. So what are some of the use cases you've been doing? with AI. Yeah, that's a really interesting example. And I guess that's, I think why our business is good is because my background is I'm not a tech guy. I understand tech and I understand AI relatively well. have a background in physics, but my business is, I'm a business person and a people change person. I've led transformations. So if I speak to you about your business and executive search, I will understand that your challenges are probably you know, finding your clients, convincing them that you're the right people, then doing the research, screening them effectively, you know, having  good process updates, and then sealing the deal  and keeping in touch with the candidates and the customers. And then if everyone's happy, you'll have a good business, right? And so it's thinking about all those different steps that you and your team and your researchers take.  And  in like, for example, customer outreach, there's a huge amount that AI can do for you to research specific markets and trends and see where, you know, change is happening and where C-suite people are moving and industries that are on growth and, you know, where private equity  funds might be doing deals so you can be ahead of your competitors in terms of having that conversation with them. It's obviously extremely helpful in terms of  research. You know, I use it a lot in the companies  I'm involved with in recruitment of just, you know, I'll speak to an AI.  for two minutes, it'll create a job spec and then I can  easily ask it to help me prepare questions for the interview. I'll always have an AI note taker when I interview people. So as soon as I finished the conversation, I have a summary of the whole conversation. I have the matrix of kind of key criteria filled in. I know exactly. And this is like instant. It's like in my case, it's even automated. So two minutes after I finished the call, I already have the matrix filled in all the insights around what went well. And then I speak to five candidates. I press three buttons and I have the overview. And that is not complicated from a technology point of view to do that. So those are just some examples from, you know, for your business. I think what's interesting is that actually I would say that in a business, in a portfolio company  or in the private equity fund, probably  every single process or application can be improved by AI. In some cases, It might mean heavy investment because it's like, know, supply chain, that's tough. And that requires a lot of robotic process automation,  system integration, the cost of making mistakes is very big. So there you might be able to get 10 % improvements after a year of work, right? But in other cases, like creating marketing content, and this is the use case everyone knows, is you can create content  extremely well tomorrow. But the question is, does the team... know how to use an AI model like Taggbt, do they know how to prompt, do they know how to inject context? And in most cases, they don't really, because they've never really learned how to drive a car. And that's what I explained to customers is like, if you've never seen a car before in your life, and you would see a car driving, you think like, wow, that goes fast, I want to do that. And you think, well, I can just go and sit in the car and drive. And it's only until you sit in the car and then after driving, you realize, oh, I don't know how to drive a car. And then...  You  need an instructor and he's going to train you, he's going to teach you, and then you need to practice. And then at some point you never even think about whether you know how to drive a car because you know it. And I think with AI it's a bit the same. And in many organizations,  people have just not been empowered  to learn to drive that car. Okay. So  what is something  we should all be doing with AI that would shock us if we all just started doing it? And this  may not be private equity portfolio related, but... I think we've all dived in at this phase now, can't we, in the AI train? Yeah, think  there's a few things I would recommend. One, and this might be more difficult for people who don't use AI much,  but it is to basically any task that you have to do, whether it's responding to an email  or doing research or preparing for an interview or writing up notes  or thinking about  a leadership challenge that you have or a conflict in the business. And thinking actually, could AI help me in this? And I can tell you it can help in all of those, but you just need to figure out how. What people often don't get is that an AI is a bit like an intern. You need to give it very clear instructions. You need to give it good feedback and you need to validate the results. Because like an intern, it will make mistakes. But in this case, you have an unlimited amount of interns that can do the work for you, but you just need to be in control of what they're doing. And so good instructions. Basically good prompting is very important.  And I think the biggest unlock for me over the last year has been speaking to AI.  I end up doing all of my prompting, writing up all my emails through voice  rather than having to use a keyboard and actually having to figure out which finger to put on which  key to produce  letters and then words to create a sentence.  So, and I can actually show you. If I'm in Chagypt,  would it make sense for me to share my screen or shall I just do it without sharing the screen?  You can, yeah, absolutely. Let me  see if we can do that.  because this is,  and basically people who are listening, you need to make sure that you're using a paid subscription if you're serious about AI. Otherwise your data is just not protected.  And you know, Chagypt is great. Claude is great. And Gemini is great. Those are really the three. There's tools out there. So here I'm in the Tadgbt environment. This is the app and people will have these buttons here at the bottom  on their phone. And I could press a button here. Hi there, how's it going? Hey there, I'm doing great. Thanks for asking. How about you? How's your day going? My day is going  very well. Yeah. I'm having a great conversation with Alex and we're talking about use cases of generative AI  in  private equity funds and their portfolio companies. Can you help me, know, what are kind of five interesting use cases that people could think about that are really easy and quick to implement? That sounds like a great conversation. Sure, I can definitely help with that.  Here are five interesting... I don't have a lot of time, so I need you to speak really fast.  Go on with it. Got it. I'll be super quick. So first, you could use generative AI for automated reporting, which helps streamline financial reports. Second, can be used. Great. So  I don't know if there are any Chinese listeners on the podcast, but can you do it in Chinese? Okay, I can in Chinese. First, you can Shunteng AI to automatically generate reports, so can simplify the financial That sounds like a fun idea. I can definitely help you with some basic phrases and translations when you're there and make it a bit easier. So basically, I think what people don't realize is you have access to extremely knowledgeable, intelligent, fast interns. And you can just press a button and start talking to them and they'll talk back to you, which is obviously it unlocks an incredible amount of knowledge, brainstorming capacity, research capacity. So that's very powerful. There's something else I use, which I just want to show you. It's the button next to it, which is the dictation button. This I think is, would say is a feature that doesn't really exist in humans because here you can just tell the human what to do and without kind of asking any questions or complaining or moaning, they're just going to do it. So I press that button and say, hi, I'm having a podcast recording with Alex Rowling from the private equity podcast. I want you to write him an email to thank him for the great discussion we've had. And mention five use cases that apply to  private equity funds and portfolio companies around Genitive AI. And make sure to make a joke at the end around the future of podcasting and Genitive AI. Right. And then I just press here and then now the  text is transcribed and I... So basically all my prompting goes  by voice. And so when I'm driving a car, I'm writing emails, I'm writing proposals, I'm... And there's our email,  investment screening due diligence.  it's always the joke is kind of the, who knows, maybe the next season of the Private Equity Podcast will be hosted by AllergyPT. Not a great joke, but anyways, the jokes are not always perfect.  But yeah, so that's, think, something I would really encourage people to do.  And people often ask, what should I ask it? Well, why don't you just ask it? tell them your name, your job, whether you have children or not, and ask them, can I start using you? And you can just basically start anywhere. And I think everyone in this podcast definitely has the intelligence and the capability and the perseverance to do that. So a huge unlock. Excellent. I appreciate that. So lots for us to think about. I'm using it from a written perspective, but certainly not using it enough on the voice side. So let's start exploring that. So let's dive into... private equity backed companies. You're doing lots of work in advisory roles and chairman roles, as you mentioned,  and supporting some of them, and no doubt on AI. What should private equity backed companies be doing when it comes to AI  beyond using voice? Yeah. Yeah, that's a great question. And actually, it comes back to one of the  mistakes I see is that  often leaders will think around Genitive AI as a tool to cut costs. And Genitive AI is obviously very good at productivity. and efficiency. The challenge though is that there's only so much you can do as a business to save costs. And the world around us is changing very quickly. Customer journeys are changing quickly. know, Chagy P.T. for example, has now 10 % of the shopping traffic  that was on Google is now on Chagy P.T. So people who are paying for AdWords, know,  10 % of those are not seeing those AdWords, they're just getting in Chagy P.T. and they're getting a shopping experience there. Visa. is launching this year agents where you can basically  give autonomy to go and buy stuff for you. So soon, rather than going to a website and typing in something and putting in filters, whatever you just say, I want a rain jacket and it to be waterproof, black, in size medium. I want it from a cool brand. know, get me the five best options and then  tell me and then I'll, I'll, I'll help you make a decision and you just book a buy-in for me. So for businesses saving costs  is Obviously a nice thing and you know, especially in this environment and sometimes with backed by private equity, it's needed. Um, but that's never going to be enough because  the value proposition that a business has has to evolve very quickly now. And basically you need to make sure that whatever you're doing, whether it's selling darts and you need to innovate faster  and be close to your community  and do much better marketing  and  innovate, you know, innovate faster these things. You need to define why do customers come with us, whether it's B2C or B2B and how are we going to make that better?  And better B means  basically better or faster or cheaper. So you can do more of it. And that I think is really is, and if you bring this to a private equity context, it's basically like, what is the value creation plan? What are the four or five big leavers that are going to deliver that growth? And I think what's cool about private equity is very fast paced. So... I think there's a somewhat unnatural pace of trying to transform a company in three to five years and get these things done very quickly. Well, I can't think of anything that is more powerful than actually Genotive AI to think around, these are my five growth pillars. How is Genotive AI going to help us do these things better, faster and cheaper?  And actually what's interesting is that in quite a lot of businesses that we worked for, including PE-backed businesses,  It feels like you give people a superpower. Suddenly they can get so much more done in a week  and they can become an expert in legal and they can become an expert in data analysis and they can become an expert in learning Japan and the Japanese. They can, you can just basically learn all these things  in a few minutes and become a generalist. And so people  kind of, get so excited and so energized that you see that the culture starts to shift as people think like... Well, if we can do all these things now within a half an hour, we can do data analysis or research or  why do we keep doing these things, some of these things the old way. And suddenly kind of these, these holy cows become like, we need to change, we need to go faster. And the organization then kind of takes over and thinks like we need to, we need to change from within. We need to go faster, better, cheaper. And I think that's probably often the biggest unlock is the energy it creates and the appetite for change and fast, you know, moving forward fast as a team. That's, really exciting. Okay. And then same question from a private equity lens perspective. There's a, I put up a recent post on LinkedIn about how the,  like the private equity world's looking for portfolio to adopt  AI, but when it looks at itself, it's, still not doing that. And I'm a big believer that private equity is still going through its, what I call this professionalization phase of proper back office infrastructure and COO and marketing and all these kinds of elements you see in every, every business. private equity becomes more competitive. But what do you think they should be doing from their lens  when it comes to AI? Yeah, it's a great question. I totally recognize what you're saying, as  we've worked with over 20 different PE funds. And many of them came to us and said, look,  our portfolio needs to adopt generative AI, we need better returns, we need to go faster. And we often say, well, so what are you doing about it?  What are you doing in your fund? Is it in a fund? that's not.  And I think after five or 10 minutes, of course you get the idea that, you need to practice what you preach. And if your team does not understand Genitive AI, it's going to be quite difficult to convince your portfolios to do this. And in most cases, the portfolio companies have higher adoption and more sophisticated option than the funds themselves. But we've spent, I think in the end, all of the PE funds we worked with, we've also worked within their fund.  And often it can be just a half day session. to really help them understand what sits behind the large language model and all the different tools. we kind of basically map out their investment flow from scanning deals to doing due diligence,  to going to the IC, to then portfolio manager, to the exit process and all the support functions underneath. And we look at all the different use cases within them and we help them adopt that. And in many cases, it's kind of one or two sessions where that team is enough and they get on the bandwagon and they go and do it.  Some of them... I've come back to us and actually for a big P fund, I've spent a number of afternoons training the partners because there was just kind of a big difference between the more junior people getting so much more done using this all the time and the partners not really understanding it. And I think being somewhat afraid of like, how can these people get all these things done so quickly? And clearly we need to learn and our portfolios are using this. you know, a lot of time spent also just training. and other partners  to do this.  And I've definitely seen that P funds who are using AI a lot themselves  have a much more active portfolio and obviously a much more credible story to their portfolio companies around what they should be doing.  Because that's often a difficult conversation to have as an investor say, look, you need to get Genitivi going. Investors don't want to step on toes of their portfolio business, but they want  them to miss out on this extremely powerful technology. What's a, from a private equity, mentioned the analysts and  some of the more junior people,  um,  utilizing it. What's the kind of a single use case that you think private equity, Hey guys, everyone should be probably doing this, whether it be investment stages, research stages, or something that you would suggest for them to adopt? Yeah. Again, I think here it's probably, there's not the one killer use case, but I think the killer use case is actually to get, you know, everyone in the team to use AI. Okay. And most of the day. And then a teaser comes in, you scan the teaser, you know, we'll probably build a custom GPT. It'll automatically transform that teaser into the one-pager, which is kind of the deal radar or whatever that fund uses. And then there'll be another, yeah, they'll immediately start doing research around that market and some of the competitors. And so basically within an hour, you have kind of a deal radar. You've done a lot of research on the industry, key competitors. So instead of then having the team  kind of create all these documents. They can actually start challenging each other and discussing, what about this growth lever and what about this? And so I think you can expect more from your investment professionals around being critical  at looking at companies and they can evaluate faster, can quick quicker decisions, but they can obviously also move much faster in the deal phase.  You know, we've also had, you know, funds work in creating, you know, legal, for example, is like  so much stuff that is outsourced legally.  can be done internally. the end, you'll always want a good law firm to sign off the  SPA.  obviously a lot of that, you can accelerate that process hugely.  So I would say scanning documents, scanning deals, being much earlier to find  new prospects. So we've built a tool our own, which is called Sales Hunt, where basically you can go and say, we're looking for portfolio companies in the consumer goods sector. between this and this sales, they need to have a few specific attributes and we have agents to go out and kind of search the internet and then bring back a database. And then you can start talking to these  prospects at scale with personalized outreach. So again, it's through every single  stage of the development, kind of the PE cycle, there are plenty of use cases that the team  can be using on almost all their tasks.  And  the important part is because often it sounds like, know, this is like, okay, fine. I'm going to have AI. So I don't have to do any more work. And,  and, and this is the challenging bit actually is that, you know, AI does make mistakes. AI does hallucinate. A lot of that can be significantly reduced if you know how to prompt, if you inject good context, if you give the good instruction, it'll do a much, much better job. But you know, never, never do I send an email without checking it, for example.  So, I think that's important is that the human is always in control and eventually also only the human can be accountable. Right? If you're the managing partner of a P fund, you'll never go to the chat room and say, you know, why did you screw up? There's always a human accountable for that work.  And therefore I think also kind of analysts who are very afraid to lose their job because they think AI is going to do all the work for them. The reality is I think the real use case is that PFUNs will be looking at doing four five times more deals with the same amount of people.  And  those people will be much more productive.  Thanks to Genitive AI. Excellent. So there's a bit of a  kind of decision paralysis when it comes to AI.  For a lot of people in private equity and portfolio companies,  know, good, obviously start here is to become better educated. But  where would you suggest they go to start thinking about how they get along this AI train and start to push some of the research and thinking into action? Well, I mean, trying to say, you know, come and come and talk to me. Uh, but obviously this is not a, you know,  I'm here for the, for the wider good. But I think a lot of that paralysis comes from the fact that people have this preemptive idea that generative AI is a tech problem.  Um, and therefore an IT project and therefore is going to cost a lot of money  and take a lot of time. Whereas if you need to find a way to empower your team and to create the culture that actually, you know, in some businesses, people say, if you've done great work with using chat GPC, for example, you've cheated. And I say, well, I think you need to create the opposite. If you basically have a culture where people are not using AI, they're cheating on the company because it's like doing your DCF,  um,  without using a laptop. It's like, it's going to take you weeks and months. And if then the partner says, well, now we need to change one of the assumptions, you're going to have to go and do that work again for another, for another month. Right. It just makes no sense. And here there's amazing technology. People need to use it. And that means they should be speaking to AI a good portion of the day, uh, rather than spending time writing their documents. So I think that's a very important part is empowering. And then I'd say some companies are kind of, you know, can figure out this themselves, but there are plenty of, you know, good people like us. who understand business, people transformation and AI who can make it happen for them. But it's tough  to completely make the change happen  for companies by themselves. But equally,  we cannot make that change happen for them.  We can support them, we can accelerate that change, but it needs to come from within. So when we come and talk to a customer, the next day there needs to be a change, as in they start to work differently and they're using AI. for a much bigger portion of their tasks than the day before. And someone internally is going to have to chase them, support them, keep it top of mind.  Because inevitably a lot of people are afraid around AI, about AI. They might be afraid of, the associate might think like, this going to take my job? The portfolio company might think, is our business model going to be disrupted?  People might think, well, what does this mean for my children? What is the world going to look like 10 years from now? And then most people generally are afraid of like, Everyone seems to use AI all day, understand it really well. I'm not a tech person. I don't really get it. So where do I go? So there is fear and there's also excitement. But usually when there's fear, people, what do people do? They freeze. Right. And so what this means is they'll say, well, okay, I don't have time for this. I'm too busy. We already have too many projects on. We need to get those done first. And they'll focus on what they know and what they've always done. and they'll kind of close their eyes. And I think that's probably the biggest challenge that people are like, they know they should be looking at it, but they don't know where to start. They're a bit afraid. So they just focus on the things they know and have always done. I mean, that's it. Yeah, makes sense. If anybody wishes to, in fact, for a dive into that, what do you read, watch, listen to that you should recommend that others check out, Greg? Yeah. I,  Dr. Ethan Molek, he's  a, he's a doctor kind of  from the University of Wharton, professionalized in AI. think he has awesome posts on LinkedIn and on his website. I recommend people to, to go and look to look to him. I listened to the AI Daily Brief, which is a podcast available on Spotify, which I think is really good. I do a lot of running. So I, um,  I listened to a lot of audio books.  And something I've started doing a lot, which some people might find interesting is I find reading  challenging. It just takes a lot of time.  You need to be heavily concentrated. You can't really do anything  alongside reading. So I end up either taking articles from the internet or  ask AI to do deep research for me. And then I'll basically transform that content into audible content that can easily be transformed into audible. And then I'll put them into a... you know, using an AI tool into a podcast and I listen to them.  Um, so I consume a lot of media just by listening to them when I'm running, for example.  11 reader is a great tool for them. What's that 11 reader? Yeah, that's the 11 reader. Yeah. That's kind of from 11 labs. It's an amazing voice AI tool. And so basically I end up consuming, you know, when I go for an hour run,  I read really interesting stuff and it'd take me an hour to read it or maybe even more.  And I don't have the patience to do that. So I would, I just would not be reading it if I, if I had to. Perfect. do it. I've notes that I'll be checking them out. If anybody wishes to reach out to you post this, Greg, how best did they get in touch with you,  Probably on LinkedIn. My name is Greg Newenhouse.  Send me a message. You know, happy to have a quick chat.  Always. Excellent. Well, thank you very much for joining us, Greg. Giving us a deep dive into AI  and both from a private equity lens and a portfolio lens. So thank you very much for sharing all your passion and enthusiasm for artificial intelligence. My pleasure. Really, really enjoyed it. Thank you for having me on, Alex. And for those tuning in yet again, if you've not done so already, please do subscribe and you'll be notified of the next podcast, which comes out every single week. But till the next time, keep smashing it. And thank you very much for listening.