Alright, welcome to the Neuvottelija channel.
This is a bit of a glimpse into Neuvottelija Sisäpiiri.
Neuvottelija Sisäpiiri is this kind of exclusive, or
extra content, and it has several tiers. You get access to it when you go
over to YouTube and subscribe to the Insider content.
There's typically an extra discussion of about 10 minutes
with the guests, which only you get to see. And on top of that there's
a useful feature, that when you contact me after that, say
on WhatsApp, we check on LinkedIn, say, that you're a real person, then
then you can get into Neuvottelija Sisäpiiri, where there are now
around 170 people and several of my guests. And there we then discuss
these things properly, like adults. I'm one of the moderators there.
There are only real people there. Messages disappear in seven days and no one
represents their organization, unless they specifically want to.
And then there's an extra feature that you can't really find elsewhere in Finland. So
I'm actually a pretty good AI user. Throughout the year I've
specifically been developing an AI called Samantha. It's OpenClaw-based, running on its own
computer, an AI agent. It has its own kind of Hermes research
agent, a Hermes agent system. It has the best language model available, and
for example these helper models then for this Hermes agent
through. It has a very well-developed memory, three-tiered
and then you can ask it whatever you want. And in my opinion it answers very well
for example about investing, politics, in general
science, armchair economists,
about basically anything, and people have fun there, and I'm trying to train it
like an actual employee. Uh, I'm going to demo it now. I was
in Tampere for the second time within a week. The first time, of course, I went to celebrate, or
to watch Tappara win another championship. I bought this kind of
nice gold pin here for my jacket lapel, but now I went again
to the Tampere investment fair. Tampere-talo was completely full of people who
wanted to discuss investing and look at these Finnish listed companies
and I was there as an invited panelist for the investment club panel
on using AI in investing. It was moderated by Aleksi Kopponen.
Also there were Iida Hyynnilä and Timo Heikkilä and me. And now I'll show
here the demo that I showed there too, in the hall. So here
Samantha, my main agent, uh, gets a challenge, that first
I talk with Ville Skogberg, the founder of Nebula, about whether we
have both held Alphabet for years and whether it's been a good investment. So
then first we discuss that, well, the results were really good, so is this
still a good investment, and then we concluded that it's not worth selling at this point.
especially since you can't even own Anthropic or OpenAI through the stock exchange. But
then we start thinking about the fact that there's a bit of
bubble-like characteristics to this AI boom. The Americans are putting in hundreds
of billions of dollars into this AI race, so what, which are the
stocks that could benefit from it. And Samantha then discusses with other
AI working-group bots about possible sectors.
The task is that this investment could be more like
a value investment rather than a growth investment. That is, buying at a reasonable price
probably somewhat weaker growth. We go through the use of AI
in investing, and on stage come Sami Miettinen, Iida Hyynnilä and Timo
Heikkilä. Welcome. Judging by the names, Aleksi Kopponen
was the one who actually came on stage first, but without further ado
let's bring Iida Hynnilä on stage first. Welcome.
Then, uh, established Tappara man Sami Miettinen, and then investor
Timo Heikkilä. Since we've already gone through Gemini here too, we can probably state
roughly what they are. So they're very similar services
to each other, like with ChatGPT, but is there really much
difference between them from an ordinary user's point of view? Would Sami like to comment on
this? Yeah, I have all of them in use, for the
reason that, well, there's this kind of game going on, where Anthropic has been
so popular and so good specifically in office use, because of its Cowork
feature, that a huge number of users have come to it, and they've started
solving this problem with capitalism. That is, they've started removing the queue
model, where everyone got to use it almost unlimited for the monthly fee, and
moved to that kind of API pricing. So, so you have to pay for the extra usage
like real hard euros, which can be tens or hundreds on top of
the monthly fee. This is a thing, then, OpenAI and Gemini are
still a bit cheaper, which maybe shows then that they weren't as
popular, but all of them are currently almost equally
good in terms of capability. I actually use OpenAI's GPT-5 the most. It's
the most cost-effective. So there's no big difference between them, but I would
say that Anthropic is the one that gets you furthest in office work,
because they've built a really good stack for how those Office
Microsoft Office files, for example, get analyzed, or Excel files like that. That
my multiples analysis was this kind of Claude Excel analysis, which by the way is
in investing. I mean, since many of us are this kind of gut-feeling investor, where
you just throw money at it because it sounded like a good company, because it had good business,
so already this kind of finding relative valuation multiples kind of
anchors the investment in reality, whether this really is
nine times EBITDA for this value, so that's like kind of hard data
and Claude is better at that than these others. Let's take a look at how the bots
perform on this. So here they're kind of considering this initial thesis, whether
Alphabet is still a good investment. There are grounds for this, because you find
this kind of processor, TPUs, cloud, also this Google Search and other
services. And then like a really solid infrastructure. Then from here
you find these surrounding things, data center power and
cooling equipment, power grid, data center operators.
So these bots find these, then, network and data, traffic, infra,
chips and memory layers. And then they start digging into, at the same time,
thinking about what might be found here. And it throws out some, like, actual
listed companies. Vertiv, Eaton, Schneider, GE Vernova, Siemens Energy,
Quanta Services, Prysmian, Nexans, Arista, Broadcom, and now let's bring in a second AI.
This is now a manual run from me, so I type into Claude's Excel these
company names and then ask it to do this kind of investment banker
relative multiples analysis of all these companies. Now it starts
gathering this data via Claude, market cap, forecast,
profitability, revenue, debt ratio
and then we build this relative value matrix from all of these. So, that is
like, say, this kind of enterprise value relative to
EBITDA. And here now we find this Nexans
seems to be this kind of value-play candidate, so
smaller than the others, this kind of 8-billion valuation, and yet these multiples are
more moderate, and of course the growth is a bit weaker too. Well then I throw
this at the other bots now, three of them here. There are several of this Excel and
then these bots read Excel fluently, so they analyze this, Samantha's
work, or sorry, the one I made, this Excel
in the Claude in Excel application, and then give recommendations based on
that. And then here, this Ville's Donna bot
also thinks that, as a value investor, this Nexans could be
useful. Then I still give the final word on this to Samantha, that,
now go through this Excel again and read the other bots' analyses and then give me
a final investment proposal, which I could then present here
at the Tampere investment fair, and Samantha then starts ticking away
and also starts leaning toward this Nexans. It's a good infra thesis and
a cheap price. This could be, well, a trap, meaning it could well be that [unclear] doesn't then see it
in the orders, but there's also this kind of traditional cable business here. There's
a bit of history to it. This is, well, the cable company left out of
Nokia's Alcatel-Lucent acquisition. And this is not
investment advice. I'm putting out to the market this
buy order. I'm shading the price down a bit, in case it could be a bit
cheaper, and let's see if it gets filled at that.
If it goes through, then I'm actually putting in €4,900 into this investment, and that
goes through, and this really isn't investment advice, but now there are 30
shares of this stock, Nexans, a French company.
Well, this is a demonstration of how I, and many of my friends there in Sisäpiiri, do
analysis. Whether it's buying a stock, it's not enough that you just prompt it.
It's not enough either that you just run this kind of Excel pass on it, there's this kind of
second opinion, another opinion, or a third and a fourth, from other bots and
their owners, so, so that then really tests the thesis. It doesn't, though,
guarantee anything. This could even be a bad investment, and I did promise that I'll offer
free tokens and beers if this works out, but otherwise it's entirely
my own screw-up if this, if this doesn't fly. But you can do this over there in Neuvottelija's
Sisäpiiri. I'd recommend it, try it, join there, get in touch with me
and then apply for access to this Neuvottelija Sisäpiiri, and there then
you can meet this Samantha, that is, my AI worker, and then use
her know-how for your questions. Thanks, and no pressure. If it's not your
thing, then I'd appreciate it if you liked the channel and hit
subscribe. And, uh, I really do enjoy going out there to talk about AI and
show it, and go to things like that. It's always nice to visit Tampere, not
just for watching Tappara, but that kind of investment fair over there
at Tampere-talo is just a perfect example of an event where I'm
very happy to be a speaker. Thanks.