WEBVTT - Gentrack chases global power

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<v Speaker 1>What's really interesting in the energy market is pricing is complicated.

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<v Speaker 1>Huge data sets. If you get it wrong, it's expensive.

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<v Speaker 2>You went through a bit of a tough patch a

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<v Speaker 2>couple of months back, didn't you?

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<v Speaker 1>I would like to be in 40 countries, 400 million

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<v Speaker 1>meter points. We have big ambitions. A good programmer is

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<v Speaker 1>working with a swarm of programming agents that are actually,

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<v Speaker 1>you put them to work so you can 5x or

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<v Speaker 1>10x your productivity.

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<v Speaker 2>Is it do or die time for some of the

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<v Speaker 2>big power companies? Adjusting to a world where power is

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<v Speaker 2>shifting might take some help. Gentrac is a company that

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<v Speaker 2>wants to position itself between the customers and their bills,

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<v Speaker 2>and the businesses and their charges. How's that all going?

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<v Speaker 2>CEO Gary Miles gave me some of his time. Let's

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<v Speaker 2>find out.

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<v Speaker 3>Investing involves risk. You might lose the money you start with.

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<v Speaker 3>We recommend talking to a licensed financial advisor. We also

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<v Speaker 3>recommend reading product disclosure documents before deciding to invest. Everything

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<v Speaker 3>you're about to see and hear is current at the

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<v Speaker 3>time of recording.

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<v Speaker 2>Gary Miles, Gin Check CEO. How hard can it be

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<v Speaker 2>to bill somebody for power?

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<v Speaker 1>Power is tricky, actually, Garth. People have solar panels on

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<v Speaker 1>the roof. They've got batteries in their driveway. Batteries are

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<v Speaker 1>starting to pump power into the grid. You don't want

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<v Speaker 1>to pump it into the grid to make some money

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<v Speaker 1>on your bill and then drive off and run out

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<v Speaker 1>of juice. Time of use, it's becoming trickier. And that's

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<v Speaker 1>for consumers. When you get into big businesses, you know,

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<v Speaker 1>grid scale kind of energy needs, it's complicated.

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<v Speaker 2>So you cover the whole range from someone who might

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<v Speaker 2>just be getting a bill once a month from a

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<v Speaker 2>power company right through to a big corporate that's got.

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<v Speaker 3>Four or five thousand.

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<v Speaker 1>A big corporate that's got offices all over New Zealand

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<v Speaker 1>and they want to flex pricing and trading because energy is,

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<v Speaker 1>you know, it's an expensive part of the mix. And

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<v Speaker 1>so they have, you know, the big companies have their

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<v Speaker 1>own trading and pricing teams that are making sure they

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<v Speaker 1>can optimize this.

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<v Speaker 2>And you're keeping track. You're also helping them work out

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<v Speaker 2>what the best prices are.

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<v Speaker 1>So we help retailers make propositions that can help their

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<v Speaker 1>customers manage their energy prices, have options, make the most

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<v Speaker 1>out of their mix of needs. And you have things

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<v Speaker 1>like load shifting. So you say, hey, if you end

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<v Speaker 1>up can shift the energy consumption to a period when

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<v Speaker 1>It's not during peak. You can save a lot of money.

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<v Speaker 1>As a matter of fact, sometimes you can get paid

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<v Speaker 1>to pump money into the grid. I'll give you a

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<v Speaker 1>really interesting example. There's one of our customers in Australia

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<v Speaker 1>has what's called the battery of the nation. And it's

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<v Speaker 1>actually two lakes. And when the grid is overheating, it'll

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<v Speaker 1>fill one of the lakes and take power off the

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<v Speaker 1>grid and maybe get paid to do that. And then

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<v Speaker 1>when the grid needs energy, It'll drain the lake and

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<v Speaker 1>push power into the grid. So it's a complicated space,

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<v Speaker 1>believe me. And it wasn't so complicated before. You had

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<v Speaker 1>dumb meters, pretty fixed, stable energy. So billing was simpler.

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<v Speaker 1>People didn't have digital engagement to understand it. And now

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<v Speaker 1>it's more complicated. So the IT systems need to support that.

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<v Speaker 2>EY surveyed people around the globe, consumers.

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<v Speaker 3>Yeah.

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<v Speaker 2>78% said, we're doing all we can already to save power.

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<v Speaker 2>Power companies, you've got to help us here. You've got

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<v Speaker 2>to help us recommend better ways. You're helping them recommend

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<v Speaker 2>the better ways?

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<v Speaker 1>Oh, for sure. I mean, if you look at what's happening.

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<v Speaker 1>So in Australia, one of the really, in some states,

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<v Speaker 1>the number one energy contributor to the grid during the

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<v Speaker 1>day is rooftop solar. because it's been subsidized by the

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<v Speaker 1>government and then they've got batteries on the side of

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<v Speaker 1>their homes. And we provide systems that help manage when

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<v Speaker 1>do you pump that power from the battery into the

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<v Speaker 1>grid and make money? When do you run your house

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<v Speaker 1>off the battery or when do you run your house

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<v Speaker 1>off the grid? How can we help them save money?

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<v Speaker 1>How can you return make a shorter return on investment

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<v Speaker 1>for those kind of consumer energy resource assets like solar

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<v Speaker 1>and battery so that we can get more renewable batteries,

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<v Speaker 1>renewable power into the grid that's not going to, you know,

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<v Speaker 1>burn fossil fuels.

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<v Speaker 2>So this is a virtual power plant.

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<v Speaker 1>It's a virtual power plant, yeah.

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<v Speaker 2>Ours is tiny here in New Zealand, like 4% of

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<v Speaker 2>the people have got solar.

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<v Speaker 1>Yeah, it's pretty small in New Zealand, but they also

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<v Speaker 1>do things like you've got, you know, your boiler and

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<v Speaker 1>things can start running during a certain time and we

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<v Speaker 1>can offload when that boiler kind of heats up and

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<v Speaker 1>stores hot water in your house, these heat cylinders. So

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<v Speaker 1>we're helping control that, so that'll stabilize. Because what's expensive

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<v Speaker 1>is dealing with these peaks on the energy market. And

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<v Speaker 1>here in New Zealand, we have a lot of renewable energy,

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<v Speaker 1>but I can tell you the retailers and the gen

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<v Speaker 1>tailors are pumping huge sums of money into providing better,

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<v Speaker 1>cleaner power on a stable basis. It's not a trivial

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<v Speaker 1>project at all.

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<v Speaker 2>Yeah.

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<v Speaker 3>Yeah.

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<v Speaker 2>If I understood right, your plan was to try and

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<v Speaker 2>be a company that was sort of at the forefront

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<v Speaker 2>as all of these power companies around the world shift

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<v Speaker 2>out of some legacy systems into new systems. Yeah. How's

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<v Speaker 2>that going for you?

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<v Speaker 1>It's going well. So when I joined the business a

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<v Speaker 1>little over five years ago, we were in four countries.

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<v Speaker 1>We had about 40 retailers around. And I saw that

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<v Speaker 1>as an amazing platform because– Australia, New Zealand, the UK,

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<v Speaker 1>where we operated, were really, really dynamic energy and water markets.

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<v Speaker 1>Let's focus on energy from this perspective. Anyway, I saw

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<v Speaker 1>that as a great platform to modernize our technology with

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<v Speaker 1>those clients. And then to take that technology that works well,

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<v Speaker 1>and like in a lot of ways, Australia, for example,

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<v Speaker 1>is living in the future as far as the energy

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<v Speaker 1>transition is concerned.

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<v Speaker 2>Does that mean we're living in the past?

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<v Speaker 3>No, no, no.

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<v Speaker 1>New Zealand is always on the forefront of stuff. But

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<v Speaker 1>we have a lot of stable energy resources, geothermal and

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<v Speaker 1>things here. So it's not as volatile. So Australia is

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<v Speaker 1>hyper volatile. But anyway, so the objective was to then

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<v Speaker 1>harden and modernize our technology and then take the learnings

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<v Speaker 1>from retailers and gin tailors in this part of the

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<v Speaker 1>world and go help other retailers and gin tailors transform.

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<v Speaker 1>So now we're in nine countries. We're looking to expand

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<v Speaker 1>into Europe or expand into Southeast Asia. We now have

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<v Speaker 1>customers in Singapore and Philippines and Fiji and Papua New

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<v Speaker 1>Guinea and a place like that. And we're looking to

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<v Speaker 1>really land Europe. I mean, that's a big focus for us.

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<v Speaker 2>So it's hard to do a new thing with new customers.

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<v Speaker 2>You've got to do a new thing with old customers

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<v Speaker 2>first to prove it, right?

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<v Speaker 1>I think that having been there and done it and

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<v Speaker 1>have customers that talk about it is when you're dealing

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<v Speaker 1>with major enterprise systems, I mean, these are huge systems.

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<v Speaker 1>They need to be cyber secure. They need to be

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<v Speaker 1>very robust. And it's a big investment. So the real

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<v Speaker 1>key is how can I amortize that across as many

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<v Speaker 1>meter points around the world as possible? It's kind of

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<v Speaker 1>unit economics. And to be able to spin up big

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<v Speaker 1>enterprise systems in faraway countries, to sell in faraway countries,

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<v Speaker 1>to deliver it, is not trivial and we've proven we

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<v Speaker 1>can do that. So we want to do it. We'd

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<v Speaker 1>like to be in 40 countries, 400 million meter points.

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<v Speaker 1>I mean, we have big ambitions. So that's the journey

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<v Speaker 1>we're on.

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<v Speaker 2>Do you put people there or is it all virtual

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<v Speaker 2>or is it a mix? How are you doing it?

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<v Speaker 1>So it kind of depends. If it's a big, big

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<v Speaker 1>kind of country presence for us, we may set up

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<v Speaker 1>an establishment, but in general, we prefer to put people

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<v Speaker 1>in to land the system, train a local software integrator

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<v Speaker 1>or support company that can do the ongoing change work.

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<v Speaker 1>For us to be in 40 countries, we don't, you know,

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<v Speaker 1>we're not all polyglots. I don't know. You know, we'd

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<v Speaker 1>really like to work through some Accentures and Capgeminis of

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<v Speaker 1>the world where they can take our technology and deploy

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<v Speaker 1>it around the world, and we'll help them do that

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<v Speaker 1>with resources. But we don't need to establish a lot

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<v Speaker 1>of people in every country.

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<v Speaker 2>So these are these forward-deployed engineers that we're seeing a

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<v Speaker 2>little bit in some of the frontier model companies, AI companies,

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<v Speaker 2>where they're sending people out into the field to basically

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<v Speaker 2>teach customers how to use their product. You've got the

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<v Speaker 2>same thing?

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<v Speaker 1>So we do have four deployed engineers. The first thing

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<v Speaker 1>we need to do is land our product. So if

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<v Speaker 1>we're going to go in and we're going to replace

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<v Speaker 1>a legacy old IT system, this is a pretty big project.

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<v Speaker 1>It can take 12 months. So we go in and

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<v Speaker 1>we do customer migration, we land the system, we do training, etc.,

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<v Speaker 1>It's part of that and following onto that, more importantly,

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<v Speaker 1>once they have the system, we bring four deployed engineers

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<v Speaker 1>that work with our AI capabilities to really rapidly bring

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<v Speaker 1>solutions to the business or to IT in a super

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<v Speaker 1>cost-effective way.

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<v Speaker 2>Has that changed much in the time you've been doing it?

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<v Speaker 1>It's changed unbelievably. It is astounding, even since February. I mean, November,

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<v Speaker 1>the pace of some of these frontier models started to

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<v Speaker 1>accelerate quite a bit. Now we can do things with clients.

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<v Speaker 1>I'll give you an example. We're working with our AI

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<v Speaker 1>environment right now where we went to the business. We

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<v Speaker 1>had a three-hour interview on a problem they wanted to solve,

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<v Speaker 1>a complex problem. We recorded it. We all agreed we

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<v Speaker 1>could record it. We recorded it. We took that transcript online.

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<v Speaker 1>We put it through AI. It created a specification. Then

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<v Speaker 1>we had that specification approved by the customer. Then we

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<v Speaker 1>used AI to create the agents to go run it,

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<v Speaker 1>and we were done. Whereas in the past, I'd interview you, Garth,

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<v Speaker 1>and I'd, what do you need? And we'd write it down,

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<v Speaker 1>and then we'd go back, and we'd ask the programmers,

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<v Speaker 1>is it clear? And then they'd come, more questions, back

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<v Speaker 1>and forth. weeks as opposed to really days.

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<v Speaker 2>Is the AI solving the problem or is it just

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<v Speaker 2>helping connect the people in your business that are solving

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<v Speaker 2>the problem? Is it doing something itself? Or is it

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<v Speaker 2>just speeding things up?

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<v Speaker 1>Well, it kind of depends. As a software company, it's

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<v Speaker 1>pretty interesting today. And I don't know, I'm sure with Sharesies,

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<v Speaker 1>you've got a bunch of people out there investing in technology,

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<v Speaker 1>software engineers. They'll know this, right? So if you're using

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<v Speaker 1>AI today to help you kind of prompt code, do

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<v Speaker 1>some code development, then you're checking it all, you're maybe

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<v Speaker 1>getting a 20% or 30% efficiency gain or throughput. The

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<v Speaker 1>good AI programmers are actually... doing a lot. You can

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<v Speaker 1>listen to Eric Schmidt. He's got a video, the founder

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<v Speaker 1>of Google. He says, if you're programming today, just stop.

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<v Speaker 1>It's not good for your career and it's not good

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<v Speaker 1>for the company. Honestly, that's how much has changed, which

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<v Speaker 1>is kind of sad because programming is a profession. We

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<v Speaker 1>got where we wanted to be because we like to program.

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<v Speaker 2>You're a programmer.

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<v Speaker 1>I've done my programming in the past. Probably not the,

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<v Speaker 1>I'm not a frontier model programmer at this point, but

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<v Speaker 1>I work with AI, for example. But anyway, what I

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<v Speaker 1>was going to say is, The good programmer is working

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<v Speaker 1>with a swarm of programming agents that are actually you

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<v Speaker 1>put them to work. They know your environment. They know

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<v Speaker 1>your code base. And you put them to work and

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<v Speaker 1>a task. And then you go to lunch or you

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<v Speaker 1>put three more to work. And you come back. And

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<v Speaker 1>so you can 5x or 10x your productivity.

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<v Speaker 2>You're the ringleader. You're not the act.

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<v Speaker 1>Well, you're always part of the act as a ringleader.

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<v Speaker 2>But, yes.

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<v Speaker 1>Now, when we talk about AI with our customers, so

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<v Speaker 1>they have call center agents. They have payment collections agents.

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<v Speaker 3>They have people.

0:11:36.920 --> 0:11:40.740
<v Speaker 1>You know, field services, and it's a different type of AI.

0:11:41.460 --> 0:11:43.800
<v Speaker 1>So in the past, you would maybe have a pod

0:11:44.000 --> 0:11:48.310
<v Speaker 1>of customer service reps supporting a group of customers. Now

0:11:48.330 --> 0:11:50.470
<v Speaker 1>you may have a customer service reps with a pod

0:11:50.510 --> 0:11:54.670
<v Speaker 1>of agents supporting that customer's decisioning. So it's all changing

0:11:54.710 --> 0:11:55.310
<v Speaker 1>pretty quickly.

0:11:55.690 --> 0:11:56.050
<v Speaker 3>Factor.

0:11:56.610 --> 0:11:59.790
<v Speaker 2>It's the company you guys bought. It's a little company

0:11:59.830 --> 0:12:02.740
<v Speaker 2>that like went from having one customer to 12 months later,

0:12:02.760 --> 0:12:06.030
<v Speaker 2>New Zealand company, Wellington Tech Company. How on earth do

0:12:06.050 --> 0:12:07.420
<v Speaker 2>you look at a company and go, you had one

0:12:07.480 --> 0:12:11.400
<v Speaker 2>customer 12 months ago, now we're going to pay you $ 25,

0:12:11.330 --> 0:12:12.600
<v Speaker 2>$ 35 million for what you do?

0:12:13.200 --> 0:12:17.580
<v Speaker 1>Yeah, well, first of all, how long is a piece

0:12:17.620 --> 0:12:21.400
<v Speaker 1>of string when you acquire something that's kind of early revenues?

0:12:21.420 --> 0:12:25.160
<v Speaker 1>It's tricky. So what we're interested to do is bring

0:12:25.220 --> 0:12:30.230
<v Speaker 1>great people and technologies into our team that have experience

0:12:30.270 --> 0:12:34.770
<v Speaker 1>that can help us scale globally. And what's really interesting

0:12:34.790 --> 0:12:38.980
<v Speaker 1>in the energy market is pricing is complicated. It's super

0:12:39.320 --> 0:12:42.400
<v Speaker 1>huge data sets. If you get it wrong, it's expensive.

0:12:42.840 --> 0:12:47.320
<v Speaker 1>If you can forecast well what energy usage the grid

0:12:47.360 --> 0:12:50.140
<v Speaker 1>or your customer book is going to require, and you

0:12:50.160 --> 0:12:52.670
<v Speaker 1>can price it well, then you run a profitable business

0:12:53.050 --> 0:12:55.090
<v Speaker 1>and you run a good hedge book. So you have

0:12:55.110 --> 0:12:57.490
<v Speaker 1>to hedge your energy. Without that, you're in a lot

0:12:57.530 --> 0:13:01.650
<v Speaker 1>of trouble. So pricing is disproportionately important. Jess and Simon

0:13:01.690 --> 0:13:04.250
<v Speaker 1>and the co-founders and the team down there, it's a

0:13:04.410 --> 0:13:09.460
<v Speaker 1>really rock solid technology team that understand pricing well. And

0:13:09.500 --> 0:13:11.980
<v Speaker 1>we can take that and plug it into our portfolio

0:13:12.320 --> 0:13:14.020
<v Speaker 1>and bring a lot of value to our customers and

0:13:14.200 --> 0:13:17.540
<v Speaker 1>I think new customers and existing ones. So, you know,

0:13:17.580 --> 0:13:22.240
<v Speaker 1>we decided if you translate it into pounds, it's, you know,

0:13:22.280 --> 0:13:25.940
<v Speaker 1>it's not, it's still a pretty reasonable price. And we

0:13:25.980 --> 0:13:28.220
<v Speaker 1>think it's going to be a very good acquisition for

0:13:28.280 --> 0:13:29.700
<v Speaker 1>Gentrack and our customers.

0:13:30.270 --> 0:13:34.040
<v Speaker 2>You think a lot in pounds. You're based mostly in London.

0:13:34.640 --> 0:13:36.880
<v Speaker 1>Well, we think in Kiwi dollars too because we're listed

0:13:36.920 --> 0:13:37.939
<v Speaker 1>on the New Zealand Exchange.

0:13:38.640 --> 0:13:40.100
<v Speaker 2>You're a very global team, right?

0:13:40.340 --> 0:13:42.559
<v Speaker 1>But we're a global team. So we've got about 800

0:13:42.559 --> 0:13:45.950
<v Speaker 1>professionals around the world. We have our utilities business and

0:13:45.990 --> 0:13:48.170
<v Speaker 1>we have an airport business. Our airport business is in

0:13:48.210 --> 0:13:53.290
<v Speaker 1>about 160 airports around the world. So Gatwick and Schiphol

0:13:53.370 --> 0:13:57.030
<v Speaker 1>and Miami and Auckland and Sydney. I mean, you know,

0:13:57.050 --> 0:14:00.679
<v Speaker 1>we're Like if you've touched Gentrack, if you've traveled probably

0:14:00.960 --> 0:14:01.559
<v Speaker 1>on an airplane.

0:14:01.820 --> 0:14:04.240
<v Speaker 2>Not that a lot of people traveled for a while there,

0:14:04.280 --> 0:14:06.060
<v Speaker 2>and then not that a lot of people are traveling

0:14:06.080 --> 0:14:08.440
<v Speaker 2>a little bit, you know, because the price of jet fuel.

0:14:08.480 --> 0:14:11.280
<v Speaker 2>Does that hit? Do you find that the business dries up?

0:14:11.280 --> 0:14:13.920
<v Speaker 1>So wildly we're finding that passenger flows are not declining

0:14:13.960 --> 0:14:17.219
<v Speaker 1>that much. Jet fuel pricing because of this mess in

0:14:17.240 --> 0:14:20.460
<v Speaker 1>the Gulf is definitely a concern. It's wild how they

0:14:20.480 --> 0:14:24.400
<v Speaker 1>found some workarounds to some extent for this. But it's

0:14:24.500 --> 0:14:27.980
<v Speaker 1>nothing like when I took over. GENTRAC and we were

0:14:28.000 --> 0:14:29.500
<v Speaker 1>in the middle of COVID. I mean, that was a

0:14:29.560 --> 0:14:33.120
<v Speaker 1>bit of a problem for our airports business and our

0:14:33.160 --> 0:14:35.410
<v Speaker 1>airports customers. I mean, if you look at one of

0:14:35.490 --> 0:14:39.350
<v Speaker 1>our airports customers who will remain unnamed, but let's say

0:14:39.390 --> 0:14:43.950
<v Speaker 1>a big airport in Southeast Asia, the airport's revenues, not

0:14:44.010 --> 0:14:46.910
<v Speaker 1>GENTRAC's revenues to the airport, but the airport's revenues were

0:14:46.930 --> 0:14:52.080
<v Speaker 1>down 97% during COVID. Our systems keep airports running smoothly.

0:14:52.510 --> 0:14:56.360
<v Speaker 1>And like I said, we're pretty global in that regard.

0:14:56.770 --> 0:14:59.290
<v Speaker 1>And from a people perspective, we have a few hundred

0:14:59.340 --> 0:15:01.520
<v Speaker 1>people here, more than 200 people in New Zealand. We've

0:15:01.540 --> 0:15:04.620
<v Speaker 1>been growing. We have a couple hundred people in Australia.

0:15:04.640 --> 0:15:05.820
<v Speaker 1>We have people in Denmark and we have a lot

0:15:05.840 --> 0:15:06.760
<v Speaker 1>of people in the UK.

0:15:06.940 --> 0:15:08.500
<v Speaker 2>You've just hired some new people as well. I think

0:15:08.520 --> 0:15:10.680
<v Speaker 2>you got one like in Tel Aviv, another one in London,

0:15:10.840 --> 0:15:15.560
<v Speaker 2>someone here. How do you keep a really united view

0:15:15.600 --> 0:15:17.400
<v Speaker 2>when you've got people spread around the globe?

0:15:17.560 --> 0:15:19.960
<v Speaker 1>Yeah, Gareth, that's what I call the tyranny of distance

0:15:20.040 --> 0:15:24.730
<v Speaker 1>in this regard. That's tricky. But we're not unique to that.

0:15:24.800 --> 0:15:27.109
<v Speaker 1>I mean, we're a global company. Most companies these days

0:15:27.150 --> 0:15:29.890
<v Speaker 1>are global. You have global scale. It's important. You have

0:15:29.930 --> 0:15:33.250
<v Speaker 1>global perspective. You know, we see stuff in the energy

0:15:33.290 --> 0:15:35.290
<v Speaker 1>markets or water markets and other parts of the world

0:15:35.330 --> 0:15:37.670
<v Speaker 1>that our customers here can like to hear about and

0:15:37.710 --> 0:15:41.510
<v Speaker 1>benefit from. We take them on client exploration journeys so

0:15:41.530 --> 0:15:44.210
<v Speaker 1>they can learn from each other. But, yeah, I mean,

0:15:44.230 --> 0:15:46.370
<v Speaker 1>you know, it's kind of interesting. When I took this job,

0:15:47.290 --> 0:15:50.950
<v Speaker 1>it was pretty easy to look at the interweb and say, wow,

0:15:51.750 --> 0:15:54.780
<v Speaker 1>that's it. tricky time zone difference from the UK to

0:15:54.820 --> 0:15:57.140
<v Speaker 1>New Zealand. But only when you get in the seat

0:15:57.180 --> 0:16:00.120
<v Speaker 1>do you realize really that the overlap in the working

0:16:00.160 --> 0:16:03.850
<v Speaker 1>day is pretty small. So we've found ways to work

0:16:03.880 --> 0:16:06.630
<v Speaker 1>around it. It's just like any global company.

0:16:06.730 --> 0:16:08.110
<v Speaker 2>So you're just up 24 hours a day?

0:16:08.430 --> 0:16:13.090
<v Speaker 1>I'm just sleeping way too little. But no, we've gotten

0:16:13.150 --> 0:16:15.010
<v Speaker 1>a good operating rhythm. So it's good.

0:16:15.750 --> 0:16:18.300
<v Speaker 2>I want to talk a bit about how the company's performed,

0:16:18.320 --> 0:16:20.160
<v Speaker 2>you know, share price performance, all that kind of stuff.

0:16:20.180 --> 0:16:21.740
<v Speaker 2>You went through a bit of a tough patch a

0:16:21.760 --> 0:16:23.970
<v Speaker 2>couple of months back, didn't you? Can you try and

0:16:24.000 --> 0:16:25.870
<v Speaker 2>unravel that a little bit for me and explain what's

0:16:25.890 --> 0:16:26.590
<v Speaker 2>changed since then?

0:16:26.930 --> 0:16:30.770
<v Speaker 1>Yeah. So first of all, we grew for about the

0:16:30.810 --> 0:16:36.570
<v Speaker 1>first four years of our operation on 25, 26% CAGR.

0:16:36.790 --> 0:16:39.830
<v Speaker 1>That's fast growth. So when I took over, we're about

0:16:39.830 --> 0:16:45.580
<v Speaker 1>$ 100 million and now we're pushing around 230. We've always

0:16:45.620 --> 0:16:48.180
<v Speaker 1>been profitable. So we're cash generative. So that's good. So

0:16:48.200 --> 0:16:50.140
<v Speaker 1>I think we performed really well on a lot of fronts.

0:16:50.760 --> 0:16:53.490
<v Speaker 1>We came out with G2, which is our new technology stack.

0:16:54.000 --> 0:16:56.490
<v Speaker 1>And when you come out with a major enterprise stack, oh, look,

0:16:56.530 --> 0:16:58.550
<v Speaker 1>we know how to sell well. The vision of G2

0:16:58.610 --> 0:17:01.170
<v Speaker 1>is great. We know how to deliver well. So our

0:17:01.230 --> 0:17:04.990
<v Speaker 1>story is a good story. But our pipeline really wanted

0:17:05.010 --> 0:17:07.810
<v Speaker 1>to see it in production. And they wanted to kick

0:17:07.869 --> 0:17:12.090
<v Speaker 1>the tires. They bring the sandbox. And we were still

0:17:12.190 --> 0:17:14.840
<v Speaker 1>in that process of deploying it with our first few customers,

0:17:14.880 --> 0:17:17.380
<v Speaker 1>which we've done now. So we need to get back

0:17:17.440 --> 0:17:21.240
<v Speaker 1>to winning a bunch of new logos. I remain really

0:17:21.300 --> 0:17:27.080
<v Speaker 1>confident about our global potential. And we're just putting our

0:17:27.100 --> 0:17:30.440
<v Speaker 1>head down. And the share price is important. And you've

0:17:30.460 --> 0:17:32.310
<v Speaker 1>got people here that care a lot about it. We

0:17:32.350 --> 0:17:36.310
<v Speaker 1>care about it. But I can say as a CEO,

0:17:36.369 --> 0:17:40.219
<v Speaker 1>we're really focusing on value and customers and growth. we're

0:17:40.240 --> 0:17:40.880
<v Speaker 1>pretty confident.

0:17:41.480 --> 0:17:45.419
<v Speaker 2>I just want to touch quickly on incentives because I'll

0:17:45.440 --> 0:17:47.350
<v Speaker 2>be frank here. You hit the headlines last year, the

0:17:47.390 --> 0:17:50.550
<v Speaker 2>local paper took a look and said highest paid CEO

0:17:51.570 --> 0:17:54.709
<v Speaker 2>on the exchange there, obviously as a result of the

0:17:54.750 --> 0:17:57.010
<v Speaker 2>way that the incentives and so on and your, and

0:17:57.030 --> 0:17:59.430
<v Speaker 2>your package worked out. Do we have a problem here

0:17:59.630 --> 0:18:00.950
<v Speaker 2>in New Zealand with paying people?

0:18:01.930 --> 0:18:04.399
<v Speaker 1>That was a, that's tricky. And so it's tricky to

0:18:04.440 --> 0:18:07.179
<v Speaker 1>respond to, but I'll try to respond to it. It's

0:18:07.220 --> 0:18:10.440
<v Speaker 1>fine because we're a transparent company. I, We had an

0:18:10.600 --> 0:18:15.640
<v Speaker 1>interesting situation. So in the private equity markets, which private

0:18:15.680 --> 0:18:19.070
<v Speaker 1>equity is private investment of companies, so they'll go in

0:18:19.119 --> 0:18:23.410
<v Speaker 1>and there's a lot of acquisitions of public market organizations

0:18:23.490 --> 0:18:26.230
<v Speaker 1>into the private space and a precedent of creating a

0:18:26.250 --> 0:18:29.970
<v Speaker 1>lot of wealth in that private market. And they incentivize

0:18:30.470 --> 0:18:32.770
<v Speaker 1>executive teams with a lot of shares because they want

0:18:32.790 --> 0:18:37.119
<v Speaker 1>to align incentives between shareholders like Sharesies and the executives

0:18:37.140 --> 0:18:40.020
<v Speaker 1>that are working hard to produce that. We put in

0:18:40.060 --> 0:18:42.180
<v Speaker 1>a double hurdle. So we had to make earnings per

0:18:42.200 --> 0:18:45.100
<v Speaker 1>share forecast, which a lot of our shares investors in

0:18:45.140 --> 0:18:46.940
<v Speaker 1>the early days said, wow, you set a high bar.

0:18:47.420 --> 0:18:49.820
<v Speaker 1>And then we had to move the stock up. And otherwise,

0:18:49.859 --> 0:18:53.080
<v Speaker 1>we got nothing, nothing. And we ended up making those

0:18:53.140 --> 0:18:56.460
<v Speaker 1>numbers and getting some shares on paper. Now, I didn't

0:18:56.480 --> 0:18:58.150
<v Speaker 1>go sell those shares because I believe in the business

0:18:58.170 --> 0:19:00.530
<v Speaker 1>and didn't sell any of them besides to retire some

0:19:00.869 --> 0:19:03.790
<v Speaker 1>tax obligations that you have to pay in the UK

0:19:03.830 --> 0:19:07.590
<v Speaker 1>in advance. And we believe in the business. And so

0:19:07.630 --> 0:19:10.830
<v Speaker 1>that that would, you know, that looks like a big number.

0:19:12.690 --> 0:19:15.560
<v Speaker 1>You know, at some point, as we perform really well,

0:19:15.980 --> 0:19:19.159
<v Speaker 1>we'll probably be rewarded for that. But we'd like to

0:19:19.200 --> 0:19:23.820
<v Speaker 1>try to reward all of our people and our shareholders

0:19:23.900 --> 0:19:26.399
<v Speaker 1>and bring them the gains, and that's what we're aligned

0:19:26.440 --> 0:19:26.740
<v Speaker 1>to do.

0:19:27.050 --> 0:19:30.409
<v Speaker 2>So, yeah. That's an eloquent explanation, I suppose. The question stands,

0:19:30.470 --> 0:19:32.070
<v Speaker 2>do you think we've got a problem here in this

0:19:32.170 --> 0:19:33.730
<v Speaker 2>market with rewarding people?

0:19:35.010 --> 0:19:38.850
<v Speaker 1>Look, there's a disparity in income and people can decide

0:19:38.869 --> 0:19:40.850
<v Speaker 1>to you know give money away and do things with

0:19:40.890 --> 0:19:43.730
<v Speaker 1>their money as they get it and I think if

0:19:43.750 --> 0:19:46.050
<v Speaker 1>you look at the wealth creation in places like the US,

0:19:46.109 --> 0:19:49.690
<v Speaker 1>I mean, it's much, much higher percentage of shares. If

0:19:50.230 --> 0:19:52.450
<v Speaker 1>you look at the NASDAQ and things, it's just a percentage,

0:19:52.540 --> 0:19:56.440
<v Speaker 1>not to mention real numbers. I think that it's dangerous

0:19:56.480 --> 0:20:00.040
<v Speaker 1>for the public markets to put this under the spotlight

0:20:00.080 --> 0:20:02.679
<v Speaker 1>too much, because it can put the public markets in

0:20:02.740 --> 0:20:10.669
<v Speaker 1>New Zealand at risk of disappearing into the private space. Yeah,

0:20:10.790 --> 0:20:13.909
<v Speaker 1>should there be more equitable share pay structures across the

0:20:13.950 --> 0:20:16.190
<v Speaker 1>country and things? I think we'd probably better leave that

0:20:16.230 --> 0:20:18.470
<v Speaker 1>to the government to figure out. I'm not sure if

0:20:18.510 --> 0:20:19.580
<v Speaker 1>I answered your question.

0:20:19.670 --> 0:20:21.260
<v Speaker 2>No, I think it's fair because I think there's a

0:20:21.300 --> 0:20:24.080
<v Speaker 2>lot of searching questions just about how healthy the local

0:20:24.119 --> 0:20:25.260
<v Speaker 2>exchange is at the moment.

0:20:26.400 --> 0:20:28.860
<v Speaker 1>This is something the New Zealand exchange needs to really

0:20:28.900 --> 0:20:31.540
<v Speaker 1>consider and the press and all this type of thing

0:20:31.580 --> 0:20:34.830
<v Speaker 1>because you do want to attract talent into the public

0:20:34.869 --> 0:20:38.020
<v Speaker 1>markets and grow the economy and have a vibrant place

0:20:38.040 --> 0:20:41.979
<v Speaker 1>for people to make investments and get returns. It's a trade,

0:20:42.020 --> 0:20:45.520
<v Speaker 1>you know, but it always comes with some controversy and

0:20:46.510 --> 0:20:48.550
<v Speaker 1>I get it. I get it.

0:20:49.670 --> 0:20:51.949
<v Speaker 2>I suppose talking about the market for talent, was I

0:20:51.970 --> 0:20:53.909
<v Speaker 2>right thinking that you've made some hires here and some

0:20:53.950 --> 0:20:55.490
<v Speaker 2>of them out of that same pool of people that

0:20:55.570 --> 0:20:59.030
<v Speaker 2>worked with de facto folks to develop that product. I

0:20:59.050 --> 0:21:00.810
<v Speaker 2>think Nick Kennedy was one that I was looking at

0:21:00.850 --> 0:21:02.250
<v Speaker 2>when I was looking right down your list, or am

0:21:02.290 --> 0:21:02.850
<v Speaker 2>I getting too granular?

0:21:02.869 --> 0:21:05.470
<v Speaker 1>Yeah, they work together with the factory team. Jess and

0:21:05.510 --> 0:21:06.609
<v Speaker 1>Nick and Code work together.

0:21:06.690 --> 0:21:08.330
<v Speaker 2>So a lot of the time you are not so

0:21:08.350 --> 0:21:10.350
<v Speaker 2>much just looking at what the technology can do, but

0:21:10.530 --> 0:21:11.929
<v Speaker 2>who are the bright people to bring in?

0:21:12.570 --> 0:21:16.109
<v Speaker 1>Oh, 100%. I mean, it's all about talent. I mean,

0:21:16.690 --> 0:21:19.850
<v Speaker 1>as a CEO, the thing where you don't want to

0:21:19.890 --> 0:21:23.870
<v Speaker 1>compromise is on your talent ever because it's a talent run.

0:21:23.890 --> 0:21:26.129
<v Speaker 1>I mean, it goes from the management team to the,

0:21:26.550 --> 0:21:32.550
<v Speaker 1>the four deployed engineers to our programmers and our visionary

0:21:32.590 --> 0:21:35.270
<v Speaker 1>and our product managers. So it's all about finding the

0:21:35.310 --> 0:21:38.290
<v Speaker 1>top talent. And we are trying to do that all

0:21:38.330 --> 0:21:43.239
<v Speaker 1>over the globe. And if you're an aspiring engineer out

0:21:43.280 --> 0:21:45.940
<v Speaker 1>there and looking for a job to do super cool

0:21:46.000 --> 0:21:49.610
<v Speaker 1>stuff around the world, please send me a note. We're

0:21:49.630 --> 0:21:52.210
<v Speaker 1>keen to hear from you. Honestly, I mean, I'm doing

0:21:52.250 --> 0:21:54.770
<v Speaker 1>a job because it's competitive. You know, it's a competitive space.

0:21:54.869 --> 0:21:57.180
<v Speaker 2>Before we wrap up, I'm just thinking we've talked a

0:21:57.200 --> 0:21:59.940
<v Speaker 2>bit about AI, how you use it. Data centers, we've

0:21:59.980 --> 0:22:01.780
<v Speaker 2>got a data center debate here in New Zealand now.

0:22:02.140 --> 0:22:05.940
<v Speaker 2>How much of an opportunity did the arrival of those

0:22:06.260 --> 0:22:09.869
<v Speaker 2>hyperscale facilities present? Are they a simple problem for a

0:22:09.910 --> 0:22:12.110
<v Speaker 2>power company to solve and a water company to solve?

0:22:12.730 --> 0:22:15.910
<v Speaker 2>Is this something that you see here and around the world?

0:22:16.450 --> 0:22:18.689
<v Speaker 2>is something that GeneTrek's well-positioned to take advantage of.

0:22:18.710 --> 0:22:21.270
<v Speaker 1>Oh, look, I think on these data centers, I mean,

0:22:21.290 --> 0:22:23.290
<v Speaker 1>there's a lot of heat that goes on to them

0:22:23.350 --> 0:22:27.300
<v Speaker 1>about water usage, and now they're recycling water, and they

0:22:27.340 --> 0:22:29.280
<v Speaker 1>generate a lot of their own power. They set up

0:22:29.580 --> 0:22:33.040
<v Speaker 1>subsidized power or whatever, their own power investments near their

0:22:34.140 --> 0:22:38.540
<v Speaker 1>data centers. That's a huge investment, a data center. Like

0:22:38.619 --> 0:22:44.390
<v Speaker 1>AWS has three zones here. It's one of 39... global

0:22:44.590 --> 0:22:47.650
<v Speaker 1>data center zones in the world to invest in New Zealand.

0:22:49.090 --> 0:22:52.610
<v Speaker 1>That is a major investment. I think it should help

0:22:52.890 --> 0:22:58.320
<v Speaker 1>the New Zealand economy. And all those data centers need

0:22:58.340 --> 0:23:00.940
<v Speaker 1>to be as power neutral as possible. I think they're

0:23:00.980 --> 0:23:02.820
<v Speaker 1>really working on that because it's a big part of

0:23:02.840 --> 0:23:03.600
<v Speaker 1>their business.

0:23:03.800 --> 0:23:05.619
<v Speaker 2>But does that cut you out if they're trying to

0:23:05.660 --> 0:23:07.939
<v Speaker 2>work out their own solutions?

0:23:08.000 --> 0:23:10.159
<v Speaker 1>No, I think all of our customers would like to

0:23:10.220 --> 0:23:13.050
<v Speaker 1>supply them all of their power. But That just doesn't

0:23:13.090 --> 0:23:15.399
<v Speaker 1>exist in this day and age. You have private companies

0:23:15.440 --> 0:23:18.659
<v Speaker 1>going out and bringing power sources into the grid. It's healthy.

0:23:18.720 --> 0:23:23.620
<v Speaker 1>It's a healthy situation. So, look, I mean, the AI

0:23:23.960 --> 0:23:28.820
<v Speaker 1>hyperscalers are spending a fortune. We'll see how that long-term

0:23:28.859 --> 0:23:34.390
<v Speaker 1>investment works out for them. But, you know, it's kind

0:23:34.430 --> 0:23:38.030
<v Speaker 1>of the highways of the future in many, many ways.

0:23:38.150 --> 0:23:42.830
<v Speaker 1>So I think we're entering a new era with, AI.

0:23:44.030 --> 0:23:48.030
<v Speaker 1>It's a super fast movie. I find it fascinating. It's scary,

0:23:48.190 --> 0:23:51.730
<v Speaker 1>I have to say. But it's fascinating. I would encourage

0:23:51.780 --> 0:23:53.679
<v Speaker 1>everybody to go out there and try to understand it

0:23:55.000 --> 0:23:57.240
<v Speaker 1>and see how it's going to evolve their career. And

0:23:57.340 --> 0:24:00.740
<v Speaker 1>you talked about some of the stuff that some people

0:24:00.760 --> 0:24:02.120
<v Speaker 1>that are close to you are doing. And I think

0:24:02.140 --> 0:24:04.590
<v Speaker 1>that's a pragmatic way to look at it, Garth. So

0:24:04.920 --> 0:24:09.169
<v Speaker 1>go out there, grab it, you know, jump in and

0:24:09.690 --> 0:24:13.229
<v Speaker 1>it's amazing what's happening. That's what I'd like to, you know,

0:24:13.250 --> 0:24:13.990
<v Speaker 1>close with, I think.

0:24:14.190 --> 0:24:14.609
<v Speaker 2>Thanks very much.

0:24:14.630 --> 0:24:15.100
<v Speaker 3>Thanks, Garth.

0:24:15.380 --> 0:24:17.320
<v Speaker 2>And thank you as well. We hope you got something

0:24:17.420 --> 0:24:19.859
<v Speaker 2>out of Shared Lunch this week. Kumotu, that's us.