What if the future of finance wasn't just faster, but wiser? What if behind every breakthrough decision was not just an algorithm, but a symphony of AI agents and human insight working in harmony? Today on Lead with AI, I'm joined by someone who's not just building tools, but reimagining how intelligence works.
both artificial and human, can converge to transform the very fabric of financial systems. Ben Wren is the co-founder of Sigtek, a company that's one of, if not the most consequential... players in the fintech AI revolution. With their magic platform, they're not just automating financial workflows, they're creating an entirely new category of collaborative intelligence where domain-specific AI agents work with humans.
to do what was once seemed impossible. From equity analysis and macro research to custom-built agents that... think and learn, Sig Tech is taking the financial world from hours and days to minutes and seconds. But what sets Ben apart isn't just his tech mastery, it's his death. He's a builder. Yes, but also a philosopher at heart.
One who's exploring the profound intersection of AI, human purpose, and even spirituality. So if you're curious about the future of work, the future of money, or even the future of meaning in an age of machines, This episode is for you. Step into the mind of someone reshaping the world behind the scenes. Let's get into it. Welcome to Lead with AI. I'm Dr. Tamara Nall. In each episode...
We will take you behind the scenes with visionary leaders shaping the future of AI across public and private sectors. Join us as we explore groundbreaking projects and innovation. that are transforming industries and making a real impact on people's lives. Let's dive in. So hi, everyone. My name is Dr. T. I'm host of The Lead with AI. podcast and today i'm excited about my conversation with ben rin ben welcome how are you i'm very well thank you tamara very good to be here
Amazing. And that background is awesome as well. So beautiful. So Ben, before we dive into the power of Sigtek and the magic platform, I love that name, by the way. I want to zoom out a bit because what you're building.
isn't just about faster workflows or smarter agents. It's about defining how humans and AI collaborate to unlock insight, value, and even purpose. So before we get... the tech i want to understand more about you ben who are you at your core what's your personal journey that brought you to this vision and How in terms of elevating human potential, especially in the space as complex as high stakes and finance? Tell us about you. So I'm the founder and CEO of SIGTAC.
I've been working in capital markets in finance for almost exactly 18 years. I started in 2007. But before finance, I was a STEM student, right? I studied computer science. 100% geek. as you as you would call it i was a stem student i love science um but i think the interesting thing is as i worked um in my career over time i became more and more interested in you know, like social science, that there was that transformation. I find the people far more interesting.
you know just complex and and and everything in society is about people you know i think one of the best lessons i've learned um actually given to me by a mentor is very very simple he told me people do business with people um so it's very simple but extremely important um i think that's really become very relevant um today as we you know in the in this new era of working with very advanced technologies, such as AI. And actually my company, we are building AI agents.
that will transcend the concept of a tool but literally becoming you know like your colleagues your co-workers yes um i think we are moving in that direction and we are moving in that direction at the pace That's simply unprecedented. But no matter what happens, we need to focus on the humanity, the human nature, because at the end of the day, that's what really matters.
Exactly. Exactly. And so let's get real for a moment. What's the wait? This is possible moment for someone seeing SIG tech magic in action for the first time. I think for the first time when they saw magic and they were blown away, actually almost every single time was when they realized there's a team of AI agents.
that are collaborating with each other in real time when they saw like AI agents are doing different things because they are they are specialists in different fields and then they converse with each other they share information and they work on the problem together and then literally the response we get is is the result of a teamwork i think when they actually when they see that in action in real time it's it's a wow moment for most people
Wow. I love that. You have your aging co-workers that are talking to each other in his teamwork. That's right. And frankly, they do it at a speed that humans simply cannot achieve. You can have a word day compressed to 30 seconds. That's right. That's right. They're pretty good at it. Yes. yeah so if sig tech were a superpower for a hedge fund what's the thing it lets you do that you couldn't do five years ago i think
This is a very important question. So most of our clients are hedge funds and asset managers. But if you think about hedge fund as a business, the product of a hedge fund is the fund.
i would say actually the essence of the product of a hedge fund is the investment professionals the portfolio managers the traders who manage the capital and deliver the return they are the product now That's what makes the hedge fund business quite tricky because it's one of the few industries where the product is literally the people.
Right. Literally the people, right? Because for them to scale the production of the product, they hire more portfolio managers, right? Right. That literally is the product. So magic can... fundamentally change the nature of that product in quite a few ways. For example, it can change the cost structure of that product. Because these days you have a senior PM who hires a team of junior PMs or analysts to support their daily work. It's very tricky to hire good people and retain them.
And training them just takes a lot of money, a lot of time. With AI technologies like what we provide at SIGTECH, they can be augmented by AI agents. That changes... literally changes the team composition for the portfolio managers, the cost structure, the composition. And then also managing investment is an extremely intellectual process.
um and also emotions um plays a big role in the investment um right sometimes the emotion most of the time emotions are bad for making investments but you know once in a while it can give you some good gut instinct and the intuition. But most of the time, portfolio managers, they spend on repetitive, not very creative work.
and then this can be automated by ai agents so that they can actually spend more time on the more creative um unique insights they have um so we change the way they spend time and therefore we can potentially change on the quality of the output which is the investment decisions so magic really can make a huge difference
into an asset management business. And just as I was kind of thinking as you were talking, do you envision a world where you have a one or two person hedge fund with a lot of agents are... Or a no-person hedge fund with agents? Do you envision that or will there always be some processes that an agent won't be able to do because you need that human type? I think the way to think about it is...
Maybe today, a 10-person hedge fund, which is considered an extremely small one. But in the near future, a 10-person hedge fund can potentially work with the same amount of intellectual firepower. of a 100% hedge fund. Got it. So a 100% hedge fund can potentially work. at a level of a 500% hedge fund. You see what I mean? It's like everybody has to upgrade because the workforce will be a hybrid of human experts and AI agents.
that's that's how the future will unfold ben i love that answer the reason why i love that answer is because so many people are afraid of ai and ai agents and they think of it in terms of job loss when it really is scalability. So you're a small hedge fund. You only have 10. You're competing against larger ones. But now you're able to scale in a way that you couldn't before. And, you know, so now your 10 person can go up to 100, you know, and compete with 100.
person hedge fund. So I love that. I actually love that. So in terms of how, you know, magic works, the magic works, how exactly is AI changing how high value but manual workflows are becoming automated? And how is... sig tech leaving that i think if you think about the the evolution of the technology over the last few decades One very interesting fact is that actually the labor productivity didn't go up as much as we thought it would. The internet came, the telecom came, 5G came.
But in terms of labor productivity, it didn't really see some dramatic uptick. There was some, but not dramatic. I think the reason is the technology we have so far. our tools and it does make you know create efficiencies but as soon as long as humans is in the middle making the key decisions we are the limiting factors
We are limited by our own intellect, our own memory, our own experience. So that's a limiting factor. For the first time, we are able to automate processes which was previously impossible because To automate something normally, you have to be able to codify it. You have to basically verbalize it in a list of instructions. And then we can implement that instructions in some programming language. That's how we do it. But when we talk about human experts, what they have is...
something called tacit knowledge. The tacit knowledge is in our head. We call them expertise, experience, intuition, good instinct. It's impossible to codify them. right therefore it cannot be automated um but but now we can for the first time because um sorry this is a long-winded answer so in learning uh there are two types of learning um one is called
deductive learning, which is we learn the first principles and learn how to apply the first principles to different use cases. The second type of learning is inductive learning.
which is we are not given first principle that we are given um case um case studies um examples like like how you go to the business school you have a case studies you know you learn some you know you learn by examples right and then we we sort of back out the lessons embedded within those examples right um so for the first time we can use gen ai um to distill that lesson um if we have
if we provide it with enough case studies. That's how we can distill human tests and knowledge into AI. That's how we actually automate this.
um intellectual but not very creative processes because they are very repetitive right they are repetitive we have a lot of examples so that's right that's how kind of how things have evolved um it's it's it's it's very new and we're at the beginning of it But given the sheer amount of knowledge work done around the world, we are looking at something absolutely humongous.
and then to that point like how did you make something so technical intuitive so i think the i think the large language models plays a very important role here uh the large language model i think we won't be able to make things technical very intuitive without a large language model. But the large language model, if you think about it, is the result of...
incredible training, right? The best large language models already have the knowledge based on trillions of words of knowledge recorded by humans. So it's like the perfect generalist. So a large language model knows everything from philosophy to history to psychology to math. And then so based on that good foundation, when we provide something very technical, a new kind of technical input. it will be very good at figuring out what's the intuition to make that happen. So I think...
It's all possible because we are looking at some unprecedented state of our large language models. And then training those LLMs to be intuitive. Absolutely. Exactly. Intuitive is, I think, fundamentally a very... It's kind of like a black box-ish inference. And that's exactly what we get from large language models.
So for those of us who are not deep in the world of finance, can you explain how SIG Tech Magic does in a way that even a non-financial analyst could appreciate it? Can you talk about it in those terms? I think you can find it. If you think about it, you know, the finance works, the industry is divided into essentially two modalities, right? One is based on text and the other one is based on numbers. So when you think about finance, really there are two, you know.
People don't really, there are no picture or, you know, paintings, but there are numbers and text. And the people you finance in most parts, the responsibilities. are divided along those two modalities. There are people who are very good at reading and writing text. They are normally called analysts.
You know, they read the company filings and the presentation. They speak with management. You know, you're very good at analyzing text. The other people who are with... who are very good at numbers, they are called Quants. You know, there are quants and the quant developers, quant researchers, they use programming language to analyze data. So traditionally, finance is divided into these two modalities and we organize.
the institutions along those two modellings. The SIGTECH and the MAGIC and just Gen.AI in general is making a big impact because We are now for the first time be able to build AI agents that is good at both text and numbers, especially when you're feeding a lot of text and numbers together. it can act as a very competent analyst and quant at the same time so essentially you get this uh 2x person one yes amazing
Yes. That's where the big difference is. And I'm curious, how did you come up with the name Magic? Well, first, I think I have to give the credit to my chief commercial officer, Krishna Nadella. He came up with it. Okay. I think one of the key differentiation for our product is that it's fundamentally multi-agent. It's not a chatbot. It's far more than a chatbot. It's multi-agent, so we have M&A. I think from there...
He goes for magic. And then we figured out how to backfill the G, I, and C. So I think that's how we came up with it. Yes, he is very creative. So he and I have gotten close over the past several days. So yes, absolutely. Okay. So in terms of real world impact, can you share a moment when Sigtek helped a client transform a workflow?
um that would have taken months but took a lot less you know hours if not seconds i think currently we are very um proud of the a few things we have helped with our clients
Yes. The first one is some fundamental analysis of public companies. So some portfolio managers have asked us very tough questions regarding some public companies that requires a human analyst to go back in to read every single published uh uh investor relationship relation document going back 15 years it's about two million two million words wow two million words And then we even calculated that like two million words of humans, you know, if you focus.
you can read about 200 to 250 words per minute. We actually figured out just to read it, it takes like weeks. Then you have to like take notes. No sleep, no shower, no food. And the perfect focus. like infinite attention span. Then you have to take notes and the cross reference across time. It's very, it takes weeks. Right. Probably six weeks. And we built AI agents to essentially analyze these 2 million words of equivalent of documents and created a 30-page report in about 15 minutes.
Wow. Wow. 50 years worth of this text in 15 minutes. in 15 minutes, which would normally take a team maybe weeks to figure it out. So that's very impressive. The other thing is we work with commercial banks to... transform their commercial loan underwriting processes. You know, it's similar to when a private business applies for a loan, you know, you have to understand their business, right? This business can be anything.
I mean, anything really, you know, there are so many interesting businesses in the world. You have to understand what this business is about, you know, what kind of competitors they have, you know, be able to make good decisions. That takes a lot of... time and the resources from the human experts. And we are able to shorten that from days to seconds. Not saying that we are not saying the human experts.
will have nothing to do but this allows them to focus on the most important things for example meeting the management team of the company. Focus on the key issues identified by our AI agents. It's less about the time spent by the human experts, but more about how we allow them to spend that very precious time on the most important things, the things that truly matter.
Now I'm going to tell you, so my husband and I bought a house in 2023 and the process took so long. I mean like weeks and they were asking me for information they had already asked me for. So I'm going to send that bank to you. Thank you. That's fascinating. Fascinating. That's right. Because, frankly, if you upload all your documents once, an AI agent can, you know, essentially answer questions on your behalf, then...
they should save you all the time, right? Because you provide the documents once and the agents have access to it and then they will be able to fill the forms. answer questions or deal with a lot of this stuff, just with you kind of checking, making sure that everything is fine. Right. Yeah, that should make a big difference. Yeah, I've experienced something too on the personal side and one on the business side. And Sigtek magic could definitely help for sure. Thank you.
Absolutely. So I'm actually going to make that introduction. So in terms of thinking about reinventing the industry, I love this question. Do you think that traditional Wall Street... playbook is becoming obsolete and is Sig Tech writing a new one? This is fascinating because Wall Street finance is one of the most human capital.
intense industries in the world. So the entire industry is built around people doing very... important things for example think about how the let's let's think about the most important thing which is like how does the whole industry understand the market like for example how does
How do investment professionals on a day-to-day basis understand, okay, what does the market price? How is the market priced in? You know what I mean? It's like there are news stories about companies. There are, you know. new story about geopolitics so the market moves to even since last night In the last slide, all this new information comes and has to be priced into the market. So for any investment professionals, the number one question.
that they should start with is how do i know what's priced into the market already right right right right because especially when the when the hedge fund trader or portfolio manager they try to beat the market they try to do better than the market
then obviously the first thing they need to understand is what are the market pricing already, right? And then they can say, oh, I... okay this is what the market has priced in but i agree with most of them but there's one thing i disagree with then that's when they come up with the trade idea right it's like it's not because you know beating the market is betting against the market
So essentially you are saying that I disagree with the market. Right. On this particular thing. So market think is like this. I think it's something different. Therefore we disagree. Let's make a bet. See who wins. That's how, that's what, that's investment.
It's actually terrifying if you think about it. As me, as someone who started with nothing and is built over and I'm thinking about my portfolio manager, sometimes I'm meeting with him, I'm literally staring at him like, how does he know all of this? This is really scary.
all of that with him. It's very frightening. It's an extremely intellectual and intense job. So coming back to your question, Tamara, with AI and AI agents, we already talked about how the team composition will change, which means the output of the same number of human experts should go up. significantly because now each human is backed by an AI team. So that makes a huge difference. And then I think it should be much faster to produce information.
and consume information so the speed at which market can incorporate new information should be faster and the firm should have a completely new way of working so that they can They can understand the market very fast so that they can all spend their resources on, you know, on the thing they disagree with. Right. I like that. Right. Today, I think today is probably spent. I don't know. 40%, 30, 40% or maybe even less time on trying to beat the market.
spend more than half the time trying to understand the market, right? But with AI, I think that understanding the market bit can be reduced to say 20%, so they actually spend 80% on trying to... I love that. And that's a takeaway for finance or other industries as well, using it to try to close the gap from what, yes, to close the gap. I love that. I love that magic. Yes. So what's one outdated practice in finance that Sigtek is quietly replacing and nobody's talking about it yet?
This is actually very interesting. We already should just talk about it. I think when people think about AI, they think it's a new technology, they automatically think that they should use AI to find the alpha. They will think, oh, wow, this is the extra new shiny new toy that I can use to give me some extra alpha. But we keep telling our clients.
JEI is not here to give you alpha per se. Alpha by definition means something contrarian, something that's different from the consensus. But if you think about the large language models. It literally is trained on consensus, right? The large downgrade models give you a response word by word. The one most likely word followed by one most likely word. Literally, the large downgrade models give you consensus.
Yeah. So the Gen.AI is a way for people to understand the market better and faster, not to have a different opinion about the market. That, for now, certainly is the job. that the human experts are much better at and as ai becomes more autonomous in finance how do you keep the human insight in the loop so that we avoid a black box future? I think for the foreseeable future, the finance will have humans always in the loop.
the framework of regulation is human-centric. The regulators at the end they want to be able to point their fingers at the human and say, hey you did something wrong. I don't think our regulators
For the near future, we'll move to a regime where they regulate AI agent. I don't think that's the case because you can't really send that AI agent to... prison if he if he does something something naughty uh so you see it's just i think that as long as this regulation um is regulated activities so human will always have to be in the loop
And we started with that, you know, the whole social science, that's kind of how we started our discussion. So what are the biggest misconceptions people have about using AI in trading? or investment strategy development? What are some of these misconceptions out there? I think first, people who use, say, something like ChatGPT and ask questions like, which stocks should I buy? That's not the right way to get financial advice. It's something that we should work with, Tim.
to change the way we work. To change the way we work. I think at the end of the day, I think don't forget what we are doing this for. We are doing this to change the way we work so we can be happier. Okay, so what can we have here? And second, I would say it's very important to keep in mind what the Gen.AI cannot replace.
Okay, we talk about what Gen.AI can replace. They can replace a lot of the stuff. You know, they get better every six months, every three months, really. But there are certain things they cannot replace. I will mention a couple of things. Okay. I would say that Gen.AI... cannot replace good taste okay for example ai is getting extremely good at writing code that code that works doesn't mean the code is beautiful some of the best engineer they write beautiful code
Okay, it's like they treat their craft like an artist. They write correct, functional, but a beautiful code. There's elegance in the way they output, but the way we train large language models that... elegance that that aesthetics that taste is not part of the training objectives so by design i mean we are it's safe to say that large language models does not have taste or
at best, they are taste neutral. They don't care about taste, right? They only care about being correct. So I think that's, so AI doesn't have taste. So AI doesn't know what's more beautiful, less beautiful. So that's something that humans, it belongs to humans. Like the soul. You're describing the soul here. That's right. Exactly. So even with AI, just say, faced with the same problem, you and I can use AI to come up our own solutions.
you you can come up with one come up with the solution that's more with better taste right beautiful than mine you know and in many circumstances that actually makes a big difference even even if both work right I think, so I just want to mention that I certainly hope that in the future with AI, we'll be able to focus, we'll have more time to focus on beauty because that's something
humans really appreciate. Nice things, fine things, beauty, artists. I love that. I love that. So fast forward five years from now, what does a next gen asset managers tech stack look like? And where does Sigtek sit in that?
ecosystem i think for asset managers um one of the biggest bottleneck of the business is the it's a technologist you know it's like they have extremely complicated infrastructures um the technology department of asset manager is always the bottleneck because they're always under pressure to ship things to build things but also it's quite difficult to attract the best tech talent
to finance because, you know, if you are really the best tech talent and you probably don't care about working in finance industry, you want to work for cool tech, either Mac tech. firms like Google or you want to work for, you know, start your own company or work for super cool startups. So it's actually quite difficult to attract the right tech people in asset management with AI.
with AI writing. Actually, 2025 will be the last year when human writes better code than AI. By the end of this year, AI will be the one that writes the best code in history. You've heard it first here. Ben said it. And I totally agree. Yeah. So I think the idea that asset manager will essentially have access to unlimited number of programmers. will change what they can build. I think that's fundamentally a huge thing. And the tech stack therefore can be extremely bespoke.
You see, this idea of tech asset managers buy third-party vendors' softwares is because it's cheaper, cheaper to buy than build. build required to hire people and actually build it. But if you have access to infinite number of programmers inside your team, suddenly this calculation becomes very different. So I expect the asset managers to have more and more bespoke tech stack. over time by harnessing the power of AI programmers.
Now, could you see a world where individuals use AI tools like Sigtek versus institutions? Are there some doors meant to stay closed? I think individuals, especially the individuals who are very enthusiastic about... investing, about learning about financial markets and want to manage maybe a portion of their own assets themselves, both at the learning exercise, but also something to...
um to be to be good at i think magic can be a useful tool um because these individuals are essentially no different from professionals but for for people who are not willing to spend time on understanding finance and making the right decisions, it's probably better still to leave it to professionals to manage your assets on your behalf. And if someone
here is listening and they're curious about AI and investing, what's one thing that they should try on Sigtek that will immediately shift how they think? I think in the next version. of magic that we're rolling out in about three months. So when you ask, when people ask finance related questions, it will be iterative.
iterative process so instead of us giving you answers straight away we're actually uh having a you know a two-way conversation so the ai agents will actually uh say oh okay yeah tamara thanks for the for the question uh this is how i understand it and therefore this is my plan uh to tackle this problem
do the research. But what do you think? Am I understanding you correctly? Is there something to... to add and there's something you want to clarify it will be a conversation it will really feel like you're working with a colleague instead of saying hey here's my question just give me the answer it will be very collaborative And also, I think people will be very surprised by the sheer amount of information these agents can fetch and process in parallel on your behalf.
Right. Right. It's like think about it, like think about the answer will be based on hundreds of articles read by these agents in parallel in minutes. Right. It probably would take us, you know, a day or two. I think the sheer quality and speed at which the answers will be provided to you based on exactly what you want.
I think it would only become more and more impressive. And I love that two-way communication because it allows us as humans to learn because then we're asked questions that we never thought of. about that well you know and then the response i love that i really love that Now, earlier you gave us some examples of how your customers have benefited from Sigtek, you know, taking 15 years worth of investor presentations and reports and synthesizing it in 15 minutes.
Talk to me about the one example that you saw that even blew your mind. Even though you're the CEO of Sigtek, you were like, whoa, we actually did that. And Sigtek does that. That one example that was like a wow moment for you. I was wild quite a few times when we asked questions that we never tested. When we develop this system, we think it's quite flexible. We build a team of specialists and they collaborate. We don't really...
put a lot of constraints on how they collaborate. But we do have a like... tests to make sure they work as intended. But from time to time, we will just ask some random questions, which is out of the blue. So wherever that actually worked.
um we're kind of getting used to it now but you know when that worked it's quite unexpected and therefore it's very pleasantly surprising yes we've done it many times and when that happens what's your victory dance are you pat yourself on the back like what's your what's ben's victory dance
I think there will be actually a lot of shouting and high-fiving among the team members. And it's very rare, right? Tamara, if you think about it, when we normally build software, software is entirely deterministic. We know exactly what it does. There's very little room for surprise. If there's any surprise, it's always a bug. It's a negative surprise. right it's unpleasant surprise oh it didn't work it's almost impossible to be pleasantly surprised by a traditional piece of software
So this is kind of a new experience, right? So only if when you're building congenial-powered applications, you actually kind of have enjoyed moments of better than surprise when they tackle problems you didn't even think about. That's amazing. Well, but I want to tell you, I really, really have loved this conversation. So as you know, and I actually got this from another pack podcast that I watched, we like to ask a question.
from our last guest to you. So your question is, how are you staying on top of social media and other updates given what's going on in the U.S. and abroad right now? My answer to that, very interesting question. My answer to that is I don't. Oh, okay. I love it. The reason I say that is I think one lesson I've learned in my life is that
we tend to think about things that don't really matter much to our lives. You know, I think so. Therefore, I've learned that one of the most effective cheat code for life is to spend more time thinking about what to think about. before we think about it right right so it's actually far more important for us to figure out what truly matters therefore we should devote our time and efforts to then just think about it so i think
Many things going on in the world doesn't mean we have to understand everything or keep track of everything from all the media channels just to feel like we are in control. We are in control where we truly understand what really matters to us in our lives.
Oh, I love that. I love that answer. I'll have to tell it came from fit. So I have to tell him that you answered it so well. So now it's time for rapid fire. So I have a list of questions. Just give me whatever comes to the top of your mind. So most. People will hate me for this. Tokenization of real world assets. Most underappreciated tech that deserves more attention. I would say a new generation of nuclear fission reactors.
Okay, I want to know a little bit more about that. What is that? You know, we have been talking about the renewable energies for a long time. The issue with renewable energy is all of them... Almost all of them is intermittent. The wind, you know, the hydro, the solar, they're all intermittent. Yeah. So nuclear power is not intermittent, it's continuous. So it's very friendly. There's no spikes. There's no downtime. It's very predictable. For our electricity grid, a constant source of...
of energy is extremely valuable. But the technology in nuclear power plant is so antiquated, right? It's like there's no development in the last... 50, 60 years, right? So there's no investment. It's very hostile to private investment. There are many, many reasons why it has never really developed, but it's an extremely important source of energy, especially in light of the energy demand by the data centers for AI. So we are coming to a point where turning energy into intelligent tokens.
The way I think about it is today we turn on the switch, electricity flows and we power our appliances. And now we turn on the... AI tab, intelligent tokens flow out of it. These tokens can be used to constitute proteins, to create music, to create paintings, to write documents. and the quality goes up, the price of these tokens go down, but the bottleneck is energy. So I think nuclear fusion is a solution to that. One book everyone should read to better understand our tech future.
It's almost certainly some kind of a sci-fi book. So I'm a huge fan of a sci-fi author called Neil Stevenson. Okay. Neil Stevenson wrote many very famous cult classic. sci-fi novels i would say the one i recommend today would be something called fall or dodge in hell it's a very awkward name uh it's about um it's about um
Actually, I don't want to give you spoilers, so read it. Yeah, no spoilers. Okay, well, read it. Y'all heard it. Read it, okay? An essential skill everyone needs to develop to thrive in the next decade. Related to what we discussed regarding the nature of the work. um i think everyone will become um instead of an individual contributor will become like the a director
working in conjunction with your own team, each one person will have your own AI team. So therefore, you will be like, everybody will be like a director, right? So that's a skill. and that's like the skill to be uh to be a conductor of orchestra so how to conduct a team ai team that would be essential yes and a tech you're personally most excited about You'll be surprised. In my spare time, personally, I'm actually very enthusiastic about analog technologies. For example,
I want to understand how to make the best lenses for film cameras, right? Why? Because no matter what we do in AI or in digital technology. make the best lens it's all about physics it's limited by the physics so there's something people have done for thousands of years so this kind of a vintage analog technology which is not It's kind of out of touch, out of the influence of AI and digital technologies is something I'm very interested in.
I have so enjoyed this conversation. I started with, okay, we're going to talk about finance and tech and sick tech and magic. And I mean, you dropped a lot of gold nuggets here talking about like. the gaps between ai and humans and how we can bridge the gap have two-way conversations the soul of finance and then um i also love it made me think of like a symphony orchestra when you
talked about the fact that there's some beautiful code. Like most of the time we just look at it as being code and that's it, but there's some really beautiful code out there. So I love that. I've enjoyed this conversation. Thank you so much for sharing SIGTECH. magic with us and our guests are definitely in for a treat so thank you so much thank you tamra thank you for the conversation i really enjoyed it absolutely
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