WEBVTT - Lazard’s Nahal on Capturing Long-Term Megatrends

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<v Speaker 1>Welcome to Inside Active, a podcast about active managers that

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<v Speaker 1>goes beyond sound bites and headlines and looks deeper into

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<v Speaker 1>the processes, challenges, and philosophies and security selection. I'm David Cohne,

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<v Speaker 1>I lead mutual fund and active Research at Bloomberg Intelligence.

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<v Speaker 1>Today my coast is Brian Darty, head of Thematic Strategy

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<v Speaker 1>at Bloomberg Intelligence. Brie, thank you for joining me today.

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<v Speaker 2>Always a pleasure, David, one of my favorite places to.

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<v Speaker 1>Be So in a recent note, you wrote that US

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<v Speaker 1>exceptionalism still matters, but it's no longer the whole story.

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<v Speaker 1>As we've seen concentration risk re emerge with the tech

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<v Speaker 1>sell off in AI back at the center of debate,

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<v Speaker 1>How should investors be thinking about where the next phase

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<v Speaker 1>of AI leadership actually comes from.

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<v Speaker 2>Yeah, I think that the last year has been a

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<v Speaker 2>really telling one, and what we've been saying is we

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<v Speaker 2>think twenty twenty five set the signals, and then in

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<v Speaker 2>twenty twenty six we're going to see some broadening of

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<v Speaker 2>that opportunity. So again we're not at all saying that

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<v Speaker 2>US exceptionalism is dead. The US naturally has an extremely

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<v Speaker 2>important role to be playing in what we see happening

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<v Speaker 2>in AI the hyperscalers, you know, first and foremost specifically

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<v Speaker 2>as we look at this you know, capex driven cycle

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<v Speaker 2>that we're that we're entering into or just starting to

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<v Speaker 2>enter into. But what we really want to highlight is

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<v Speaker 2>that I would say the deep seek of January twenty

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<v Speaker 2>twenty five, so think back a year ago, was a

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<v Speaker 2>bit of an eye opener that this isn't a one

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<v Speaker 2>horse race, right, and that this is very much a

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<v Speaker 2>global AI continuum that we're all on and we think

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<v Speaker 2>that we're going to see more and more investors. We've

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<v Speaker 2>seen it in the back half of twenty twenty five,

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<v Speaker 2>we continue to expect that this will continue to take

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<v Speaker 2>hold in twenty twenty six. That investors are looking globally right.

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<v Speaker 2>They understand the opportunity of the United States, but they

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<v Speaker 2>also understand that you're going to see a lot of

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<v Speaker 2>great innovation coming out of Asia, coming out of Europe,

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<v Speaker 2>and that a really good way to look at the

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<v Speaker 2>portfolios to make sure that you have a balanced exposure there.

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<v Speaker 2>The other thing that we're highlighting is naturally we tend

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<v Speaker 2>to be lovers of equal weight, and particularly a lover

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<v Speaker 2>of eical weight. In twenty twenty six, and just highlighting

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<v Speaker 2>again that especially as we look to themes such as AI,

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<v Speaker 2>but also across all of our innovation themes. We think

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<v Speaker 2>that sometimes investors can get really hung up on the

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<v Speaker 2>most well known names, right, and that's typically those big megacaps,

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<v Speaker 2>and there tends to be a lot of US tech

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<v Speaker 2>tunnel vision when people think of innovation, and we actually

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<v Speaker 2>see a lot of opportunity in lesser nor names. And

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<v Speaker 2>that's one of the work that the matics, I think

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<v Speaker 2>really brings to the forefront is just how much opportunity

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<v Speaker 2>is sitting outside benchmarks. And we really expect the broad

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<v Speaker 2>name to continue through twenty twenty six.

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<v Speaker 1>Great and so we all know AI is definitely considered

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<v Speaker 1>a mega theme, and it just so happens today we

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<v Speaker 1>have a mega theme portfolio manager as our guests today,

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<v Speaker 1>So I'd like to welcome Sarji Nahal to the podcast.

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<v Speaker 1>Saraje is a portfolio manager in list with the Global

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<v Speaker 1>Thematic Equity team at Lizard Asset Management SAGE. Thank you

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<v Speaker 1>for joining us today.

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<v Speaker 3>Thank you for having me. It's a pleasure to be

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<v Speaker 3>here this morning.

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<v Speaker 1>So we're going to be discussing the Lizard Equity Mega

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<v Speaker 1>Trends ETF tickerh MZ. Can you walk us through the

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<v Speaker 1>core investment philosophy behind the fund in what mega trend

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<v Speaker 1>investing means in practice?

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<v Speaker 3>Happy to say a few words, and you know, the

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<v Speaker 3>core philosophy behind themes is rooted in the belief that

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<v Speaker 3>we're living in an era of unprecedented transformation and disruption,

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<v Speaker 3>whether it be structural chips, in terms of demographics with

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<v Speaker 3>Asian populations, geopolitics with the emergence of a multipolar world,

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<v Speaker 3>or in terms of technology and AI diffusion. And if

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<v Speaker 3>I were to quote eighteen time All Star and thirteen

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<v Speaker 3>time World Series champion Yogi Berra, the future aint what

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<v Speaker 3>it used to be and investors need to prepare their

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<v Speaker 3>clients for a future that is no longer predictable, no

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<v Speaker 3>longer stable, or no longer a simple extent of the past.

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<v Speaker 3>And these transformative and disruptive forces are no longer peripheral trends,

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<v Speaker 3>but they've become central drivers of everything from dispersion to

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<v Speaker 3>volatility to disruption and ultimately long term value creation. And

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<v Speaker 3>we can see this with the lifespan of companies in

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<v Speaker 3>the s and P five hundred. I was just falling

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<v Speaker 3>from sixty years in the nineteen fifties to thirty years

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<v Speaker 3>in the nineteen eighties to an estimated twelve to fifteen

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<v Speaker 3>years by twenty thirty at the end of this decade,

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<v Speaker 3>and the growth and so called Kodak moments of companies,

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<v Speaker 3>we're simply failing to foresee and adapt to the pace

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<v Speaker 3>of disruptive transformation, and we really see mega trends investing

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<v Speaker 3>as offered an invaluable north star for investors looking to

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<v Speaker 3>adapt for the future and navigate these structural shifts. And

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<v Speaker 3>in practice this means leveraging a bottoms up fundamental, fundamental

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<v Speaker 3>research and valuation discipline focused approach when it comes to investment,

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<v Speaker 3>and we believe the software is it's two things. Firstly,

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<v Speaker 3>it's an opportunity to invest in high quality, growing companies

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<v Speaker 3>benefiting from structural change at a reasonable price what will

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<v Speaker 3>refer to as themes or mega trends as a reasonable

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<v Speaker 3>price along the lines of gart But secondly, longer term

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<v Speaker 3>optionality from ten to twenty year themes that are currently

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<v Speaker 3>on the investment frontier but rapidly becoming reality, so things

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<v Speaker 3>like autonomous vehicles, humanoid robots, quantum computing, SMRs as well

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<v Speaker 3>as space.

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<v Speaker 1>So if we take a step back, how do you

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<v Speaker 1>define and identify these mega trends? Is there a certain

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<v Speaker 1>criteria that your team uses decide if a trend is

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<v Speaker 1>structural enough to be included in the funds investment universe?

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<v Speaker 3>Yeah, of course, you know. As our starting point, we

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<v Speaker 3>really see mega trends as long term, large scale global

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<v Speaker 3>structural shifts with the potential to reshape global industry, economics

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<v Speaker 3>and profit pools. And we also believe that the evaluate

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<v Speaker 3>a selection of mega trends requires robust fundamental grounding needs

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<v Speaker 3>to be validated by both company level insights as well

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<v Speaker 3>as the Lazarts Global research platform. A forward looking approach

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<v Speaker 3>is critical to timing theme selection, as you generally don't

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<v Speaker 3>want to be buying when the theme has reached page

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<v Speaker 3>one of the newspapers or is all across your social media,

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<v Speaker 3>or for that matter, your parents or your grandparents.

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<v Speaker 1>Are asking you about it.

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<v Speaker 3>You want to be focused on the ideas that are

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<v Speaker 3>on section see page thirty two of the newspapers but

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<v Speaker 3>slowly moving their way towards page one, and our investment

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<v Speaker 3>edge in this regard lies in the four and a

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<v Speaker 3>half thousand company meetings that we, together with our fundamental

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<v Speaker 3>analyst colleagues, have with companies every single years. These meetings

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<v Speaker 3>account for about fifty percent of our times as PMS

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<v Speaker 3>and allow us to build a picture of our transforming world.

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<v Speaker 3>And during this meetings we ask the CEOs and senior

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<v Speaker 3>management strategic questions about things like structural changes over the

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<v Speaker 3>next three to ten years, the evolution of both demand

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<v Speaker 3>and supply, capex investments which are being underestimated or ignored

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<v Speaker 3>by the market, and future sources of revenues and profit pools.

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<v Speaker 3>And in essence, these collected data points allow us to

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<v Speaker 3>both identify emerging mega trends and to focus on idiosyncratic

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<v Speaker 3>stock factors, while also tying our mega trends to three

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<v Speaker 3>to five year valuations for companies. And practically speaking, each

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<v Speaker 3>mega trend must also be able to offer durability, scale

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<v Speaker 3>and investability across a diversified set of companies, and at

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<v Speaker 3>present we run a concentrated portfolio of sixty names across

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<v Speaker 3>six themes or mega trends, so that includes smart campex,

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<v Speaker 3>smarter industry, and a new era for capital investment, bits

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<v Speaker 3>of chips, key selective components capturing value from digitalization powered

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<v Speaker 3>consumer the winners in a whole new world of consumerism.

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<v Speaker 3>Software agents, the next major evolution of software, data and

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<v Speaker 3>AI competitive advantage from the plied AI. And then finally

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<v Speaker 3>future health, which is focused on solutions to the societal

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<v Speaker 3>challenges in and around healthcare.

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<v Speaker 1>Can you describe how your proprietary multi theme process works

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<v Speaker 1>in terms of how themes evolve over time in the portfolio?

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<v Speaker 3>Yeah, of course, of course. Well as thematic investors, we

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<v Speaker 3>anchor our portfolio to multiple themes or mega trends rather

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<v Speaker 3>than benchmarks, which we believe don't tell you very much

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<v Speaker 3>about the future and lead to a framing bias. And

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<v Speaker 3>as a Canadian, I'll make an ice hockey analogy. We

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<v Speaker 3>need to be skating to where the puck is going,

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<v Speaker 3>not where it currently is.

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<v Speaker 2>Now.

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<v Speaker 3>As mentioned, we have six themes in our strategy, with

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<v Speaker 3>our belief being that firstly, each theme captures a different

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<v Speaker 3>subset of structural factors, Secondly, that different themes pay off

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<v Speaker 3>at different times and in different ways, and that thirdly

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<v Speaker 3>themes evolve over time. We also believe that a multi

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<v Speaker 3>thematic approach reduces risk and smooth's return patterns over time.

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<v Speaker 3>In escence, it affects competition for capital between themes as

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<v Speaker 3>opposed to a single theme approach where no one tells

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<v Speaker 3>you when to evolve or sell. And obviously we run

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<v Speaker 3>an active ETF and our themes are dynamic and evolve

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<v Speaker 3>off the back of our bottoms up research and the

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<v Speaker 3>data points we're collecting from our meetings with companies and

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<v Speaker 3>as evidence, as economics, as competitive dynamics, As policy directions change,

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<v Speaker 3>new themes emerge, and existing themes can shrink, expand, or

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<v Speaker 3>be retired based on our conviction. But to put things

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<v Speaker 3>in perspective, we are true long term investors. Of the

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<v Speaker 3>average lifespan of our themes average is about five years,

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<v Speaker 3>and portfolio turnover is about twenty percent per year.

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<v Speaker 1>So I'm gvite you mentioned bottom up research because that

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<v Speaker 1>was kind of the next part I wanted to talk about.

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<v Speaker 1>Is there specific approach to selecting you know, once you

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<v Speaker 1>have your themes, to selecting the specific companies you know,

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<v Speaker 1>you know certain fundamental metrics you like to use, or

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<v Speaker 1>even you know, any biases towards geographic regions or even

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<v Speaker 1>market caps.

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<v Speaker 3>Yeah, perfect, well. In terms of investment process, we've got

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<v Speaker 3>a robust and long standing four step process you know. Firstly,

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<v Speaker 3>we're looking for thematic fits, with companies needing to clearly

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<v Speaker 3>benefit from the structural drivers behind a theme and supportant stress.

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<v Speaker 3>We're not looking at simplistic quant or revenue exposure screens

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<v Speaker 3>and stock lists, but rather at the evolution of business models,

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<v Speaker 3>exposure to exogeness factors, and how stocks will benefit from

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<v Speaker 3>the return opportunity over time. Secondly, we're looking at stock

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<v Speaker 3>specific factors. The reality is that no stock will ever

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<v Speaker 3>be a perfect fit for a theme, and there are

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<v Speaker 3>many idiosyncratic factors at play, from the quality of management

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<v Speaker 3>to worry some legacy businesses is to sustainability concerns, and

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<v Speaker 3>these are often swept under the carpet by top down investors,

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<v Speaker 3>but we choose to choose to go deeper, working closely

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<v Speaker 3>with Lazard's fundamental research team and their insights. Thirdly is valuation,

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<v Speaker 3>where we place an overarching focus on year three so

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<v Speaker 3>twenty twenty nine and year five twenty thirty one, and

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<v Speaker 3>on whether the valuation is reasonable, whether there's a possibility

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<v Speaker 3>of upside if the theme plays out, and ultimately on

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<v Speaker 3>capturing asymmetries. And then fourth and finally is diversification. We

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<v Speaker 3>have multiple themes and multiple stocks per theme, and layers

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<v Speaker 3>of diversification across market segments geographies, products, services, as well

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<v Speaker 3>as sectors. It's very much our belief that diversification allows

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<v Speaker 3>us to access different return profiles. And generally speaking, we

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<v Speaker 3>equally wake themes and stocks and we regularly take profits

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<v Speaker 3>and recycle them into strong suctual stories experiencing moments of weakness.

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<v Speaker 1>So I do have a follow up to that, you

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<v Speaker 1>know you touched upon valuations. Are there specific valuation metrics

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<v Speaker 1>you consider or does it kind of differ from stock

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<v Speaker 1>to stock.

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<v Speaker 3>Yeah, happy to say.

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<v Speaker 1>A word there.

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<v Speaker 3>And firstly I would just stress that, you know, so

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<v Speaker 3>much of the focus in terms of thematic and mega

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<v Speaker 3>trends is on narrative heavy areas and support of stress.

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<v Speaker 3>There's certainly some great narratives or stories associated around mega trends,

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<v Speaker 3>but we really pride ourselves on our valuation discipline. You know,

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<v Speaker 3>Our emphasis again is on that bottoms up long term

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<v Speaker 3>valuation years three and years five in particular, but also

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<v Speaker 3>the thematic optionality playing out over longer period so five

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<v Speaker 3>to ten years. And it's our belief that these are

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<v Speaker 3>timeframes where markets tend to be less efficient and structural

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<v Speaker 3>change is generally underappreciated, but in terms of valuation, rather

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<v Speaker 3>than fixing target our team we work extremely closely with

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<v Speaker 3>Thozard seventy fundamental analysts to compare with the market is

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<v Speaker 3>discounting the consensus and price with what our differentiated long

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<v Speaker 3>term judgments say. Valuation approaches can be flexible by company type.

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<v Speaker 3>We're recognizing everything from annuity like elements through to optionality.

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<v Speaker 3>We're leveraging scenario based analysis, which helps us to calibrate

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<v Speaker 3>materiality and avoid overpaying for popular or narrative German themes,

0:13:32.720 --> 0:13:36.520
<v Speaker 3>and our valuation discipline also means that we can help

0:13:36.600 --> 0:13:39.960
<v Speaker 3>our clients access the best themes and the best companies

0:13:40.120 --> 0:13:44.120
<v Speaker 3>tomorrow early and at a reasonable price. Because themes at

0:13:44.160 --> 0:13:47.280
<v Speaker 3>a reasonable price, Mega trends at a reasonable price is

0:13:47.320 --> 0:13:49.920
<v Speaker 3>have the heart of everything that we are trying to do.

0:13:51.320 --> 0:13:55.319
<v Speaker 3>Is there any type of top down research as part

0:13:55.360 --> 0:13:57.240
<v Speaker 3>of the process. Do you kind of incorporate any type

0:13:57.240 --> 0:14:03.079
<v Speaker 3>of macroeconomic or geopolitical insights into your framework? Yeah? Of course,

0:14:03.240 --> 0:14:08.400
<v Speaker 3>you know, as you can imagine, macro geopolitical insights are

0:14:08.640 --> 0:14:11.880
<v Speaker 3>critical for us as a Mega trens team, especially in

0:14:11.920 --> 0:14:16.040
<v Speaker 3>light of the new realities of the fragmented, the transactional,

0:14:16.240 --> 0:14:19.840
<v Speaker 3>the intensely competitive, multi polar world that we're living in,

0:14:20.360 --> 0:14:23.280
<v Speaker 3>and we really see these inputs as key to shaping

0:14:23.360 --> 0:14:28.080
<v Speaker 3>long term foundations and construction of our themes, as opposed

0:14:28.120 --> 0:14:32.680
<v Speaker 3>to those who would use them for tactical positioning or

0:14:33.040 --> 0:14:35.760
<v Speaker 3>short term timing. So just to give you an example,

0:14:35.840 --> 0:14:39.360
<v Speaker 3>you know, we see strategic investment in US manufacturing and

0:14:39.400 --> 0:14:44.520
<v Speaker 3>industry as accelerating due to macro on geopolitical challenges. We

0:14:44.560 --> 0:14:47.960
<v Speaker 3>see the scales tilting away from chasing low cost labor

0:14:48.280 --> 0:14:53.239
<v Speaker 3>back towards domestic production, and we believe capital and proximity

0:14:53.280 --> 0:14:56.040
<v Speaker 3>to the end user is going to dictate the national

0:14:56.080 --> 0:14:59.800
<v Speaker 3>and regional allocation of capex parameters to which the US

0:14:59.840 --> 0:15:02.560
<v Speaker 3>have no equal. We also see the US as in

0:15:02.600 --> 0:15:07.400
<v Speaker 3>the very early innings of a massive reindustrialization wave which

0:15:07.440 --> 0:15:11.160
<v Speaker 3>could become a multi decade opportunity which we size at

0:15:11.160 --> 0:15:14.080
<v Speaker 3>a minimum of ten trillion dollars in the coming years.

0:15:14.520 --> 0:15:17.200
<v Speaker 3>And as the US aims to regain the twenty to

0:15:17.240 --> 0:15:20.280
<v Speaker 3>twenty five percent of global manufacturing share that it commanded

0:15:20.280 --> 0:15:24.200
<v Speaker 3>in the nineties, we see an increasing focus on reshoring

0:15:24.720 --> 0:15:29.960
<v Speaker 3>high value strategic supply chains and critical infrastructure, and in

0:15:30.040 --> 0:15:34.600
<v Speaker 3>terms of example semis or chips, that industry is clearly

0:15:34.720 --> 0:15:37.800
<v Speaker 3>becoming one of the biggest focus areas. And if you

0:15:37.800 --> 0:15:39.960
<v Speaker 3>take a look at twenty twenty five, as of July,

0:15:40.120 --> 0:15:43.360
<v Speaker 3>Semi companies had announced over five hundred billion of private

0:15:43.360 --> 0:15:47.640
<v Speaker 3>sector investments across twenty eight states to revitalize the US

0:15:47.760 --> 0:15:51.160
<v Speaker 3>leading edge cheap chip ecosystem and move towards this whole

0:15:51.200 --> 0:15:55.280
<v Speaker 3>idea of solvereign AI and US pharma manufacturing is another

0:15:55.400 --> 0:15:59.240
<v Speaker 3>reshoring beneficiary with three hundred and seventy billion of investments

0:15:59.360 --> 0:16:02.520
<v Speaker 3>in two thousan twenty five. So we're looking at the macro,

0:16:02.640 --> 0:16:05.280
<v Speaker 3>we're looking at the geopolitical, but we're trying to see

0:16:05.320 --> 0:16:08.600
<v Speaker 3>what sort of bottom up impacts that is having in

0:16:08.720 --> 0:16:10.720
<v Speaker 3>terms of our in terms of our portfolio.

0:16:11.680 --> 0:16:14.360
<v Speaker 1>So I know BRI has some really great questions digging

0:16:14.400 --> 0:16:16.560
<v Speaker 1>deeper into the themes themselves, but I just have one

0:16:16.560 --> 0:16:19.600
<v Speaker 1>more question on investment process before we move on. You

0:16:19.680 --> 0:16:23.520
<v Speaker 1>work alongside a few different co managers on this strategy.

0:16:23.760 --> 0:16:27.520
<v Speaker 1>How does collaboration work in terms of theme selection, sizing

0:16:27.920 --> 0:16:29.480
<v Speaker 1>and portfolio reviews?

0:16:30.000 --> 0:16:32.240
<v Speaker 3>Of course, well, just in terms of the team itself,

0:16:32.640 --> 0:16:37.560
<v Speaker 3>Mozon's Thematic and Mega Trends team comprises six members, four pms,

0:16:37.600 --> 0:16:42.080
<v Speaker 3>a portfolio analyst, and a client portfolio manager. We're based

0:16:42.120 --> 0:16:45.240
<v Speaker 3>in both New York and London, and we are one

0:16:45.240 --> 0:16:48.600
<v Speaker 3>of the world's most experienced thematic teams, with an average

0:16:48.680 --> 0:16:53.160
<v Speaker 3>of twenty four years of industry experience, including an average

0:16:53.160 --> 0:16:56.680
<v Speaker 3>of eleven years at Lazard. We have complementary backgrounds that

0:16:56.760 --> 0:17:01.360
<v Speaker 3>spanned the buy and sell side, geographies, areas of study

0:17:01.360 --> 0:17:05.600
<v Speaker 3>and interest, and one member was actually a former member

0:17:05.640 --> 0:17:08.760
<v Speaker 3>of a national chess team. But it's important to stress

0:17:08.840 --> 0:17:12.840
<v Speaker 3>that beyond the core team is that we're collaborating throughout

0:17:12.960 --> 0:17:16.560
<v Speaker 3>the day with an emphasis on cognitive diversity and collective

0:17:16.680 --> 0:17:22.280
<v Speaker 3>decision making, with everything from theme and stock selections, sizing decisions,

0:17:22.280 --> 0:17:26.439
<v Speaker 3>and portfolio reviews made jointly by the pms, supported by

0:17:26.480 --> 0:17:31.199
<v Speaker 3>ongoing debate and shared research ownership. But it's critical to

0:17:31.200 --> 0:17:34.520
<v Speaker 3>stress the importance of the inter connected insights that we

0:17:34.600 --> 0:17:38.639
<v Speaker 3>derive from the investment investment network. At Lazard, we have

0:17:38.760 --> 0:17:43.359
<v Speaker 3>access to and regularly leverage a world class network of

0:17:43.480 --> 0:17:47.639
<v Speaker 3>seventy sector specialists across continents who help us to construct

0:17:47.720 --> 0:17:50.199
<v Speaker 3>our bottoms up vision of the world and we're an

0:17:50.240 --> 0:17:54.280
<v Speaker 3>incredibly interconnected platform. We're in constant touch with the fundamental analysts,

0:17:54.320 --> 0:17:57.160
<v Speaker 3>with dedicated chat groups with each of them, as well

0:17:57.160 --> 0:18:00.960
<v Speaker 3>as a firm wide big Big Picture weekly Leal Thematic meeting,

0:18:01.000 --> 0:18:03.760
<v Speaker 3>which has been running at the firm for well over

0:18:04.320 --> 0:18:06.160
<v Speaker 3>for well over two decades now.

0:18:06.800 --> 0:18:08.879
<v Speaker 2>A lot of what you were saying that echoes with also,

0:18:08.920 --> 0:18:11.480
<v Speaker 2>you know the low approach we take, and it's you've

0:18:11.640 --> 0:18:16.400
<v Speaker 2>said some of my favorite words asymmetric right here, right, idiosyncratic,

0:18:17.400 --> 0:18:19.600
<v Speaker 2>all those really good ones. When you start talking about thematic,

0:18:20.040 --> 0:18:22.800
<v Speaker 2>I was I was looking at the current membership and

0:18:23.560 --> 0:18:25.399
<v Speaker 2>interested to hear your perspective, you know, thinking back to

0:18:25.480 --> 0:18:27.359
<v Speaker 2>the question I answered David at the very beginning here,

0:18:27.400 --> 0:18:32.040
<v Speaker 2>when we think about going global versus focusing on opportunity

0:18:32.040 --> 0:18:34.000
<v Speaker 2>potentially being unlocked in the US, you've got a decently

0:18:34.040 --> 0:18:37.439
<v Speaker 2>high waiting to us, interested to hear on if there

0:18:37.440 --> 0:18:39.719
<v Speaker 2>are certain of the mega trends that you're focused on

0:18:39.800 --> 0:18:42.359
<v Speaker 2>where you are looking more global versus other ones that

0:18:42.400 --> 0:18:45.480
<v Speaker 2>you're more focused on being US driven.

0:18:46.520 --> 0:18:49.679
<v Speaker 3>Yep, yep, perfect, Happy to say a word there, and

0:18:49.680 --> 0:18:52.000
<v Speaker 3>I think I would take things one step back, and

0:18:52.160 --> 0:18:53.960
<v Speaker 3>what I would really stress is it's r you that

0:18:54.000 --> 0:18:57.640
<v Speaker 3>investors need to look beyond the horizon the capture tomorrow's

0:18:57.680 --> 0:19:01.480
<v Speaker 3>ELpH and future wealth. And basically this reals a fourfold

0:19:01.480 --> 0:19:04.919
<v Speaker 3>shift in investing wavelength. And the first is just clearly

0:19:04.960 --> 0:19:08.119
<v Speaker 3>moving from short term to long term. All of the

0:19:08.160 --> 0:19:11.200
<v Speaker 3>market volatility that we're seeing on a daily basis presents

0:19:11.240 --> 0:19:15.640
<v Speaker 3>opportunities for long term investors. Its Secondly, exactly in line

0:19:15.680 --> 0:19:18.119
<v Speaker 3>with what you're saying, we believe that we need to

0:19:18.160 --> 0:19:22.200
<v Speaker 3>move away from the US to becoming more global allocation

0:19:22.359 --> 0:19:27.480
<v Speaker 3>can help us navigate a shifting market performance in what

0:19:27.640 --> 0:19:30.520
<v Speaker 3>really is a new regime. And Thirdly, we need to

0:19:30.560 --> 0:19:34.159
<v Speaker 3>diversify from that sometimes obsessive focus on data centers and

0:19:34.200 --> 0:19:39.280
<v Speaker 3>ais to more diversity across sectors, market segments as well

0:19:39.320 --> 0:19:41.880
<v Speaker 3>as companies. And then finally, as we discussed, we need

0:19:41.920 --> 0:19:44.600
<v Speaker 3>to shift away from those backward looking benchmarks to being

0:19:44.680 --> 0:19:47.040
<v Speaker 3>forward looking. Now, if to take a look at the

0:19:47.080 --> 0:19:49.320
<v Speaker 3>portfolio itself, you know what you end up with is

0:19:49.359 --> 0:19:52.840
<v Speaker 3>a portfolio which truly is global, right about sixty three

0:19:52.880 --> 0:19:57.400
<v Speaker 3>percent North America and thirty seven percent rest of world,

0:19:57.680 --> 0:20:00.960
<v Speaker 3>and this reflects global profit pool distribution and where many

0:20:01.080 --> 0:20:04.600
<v Speaker 3>leaders in structural change reside. So I was talking about

0:20:04.640 --> 0:20:07.360
<v Speaker 3>the changes that we're seeing, for instance, in the manufacturing

0:20:07.560 --> 0:20:12.320
<v Speaker 3>and renaissance space in the United States. Massive opportunity. But

0:20:13.040 --> 0:20:14.879
<v Speaker 3>this is a space where we need to look towards

0:20:14.920 --> 0:20:18.160
<v Speaker 3>some of the European as well as the Japanese actors

0:20:18.200 --> 0:20:23.280
<v Speaker 3>as we look to instill everything from automation, digitalization software

0:20:23.320 --> 0:20:27.399
<v Speaker 3>and AI based operating systems for factories through to industrial

0:20:27.520 --> 0:20:30.840
<v Speaker 3>robots as well as the emergence of humanoid robots. But

0:20:30.880 --> 0:20:32.760
<v Speaker 3>if you look at the portfolio, the way that we

0:20:32.840 --> 0:20:35.119
<v Speaker 3>think and the way that we act, it also results

0:20:35.119 --> 0:20:38.520
<v Speaker 3>in a portfolio which is very well diversified. We've got

0:20:38.560 --> 0:20:43.480
<v Speaker 3>about forty percent technology, but we have material exposure to healthcare,

0:20:43.920 --> 0:20:48.720
<v Speaker 3>to industrials, to financials as well as consumer companies. And

0:20:49.119 --> 0:20:52.840
<v Speaker 3>our global approach as well as our equal weighting based

0:20:52.840 --> 0:20:57.440
<v Speaker 3>philosophy basically means under exposure to megacaps even when based

0:20:57.480 --> 0:21:02.480
<v Speaker 3>in the US, providing broad participations across global trends.

0:21:03.840 --> 0:21:06.440
<v Speaker 2>I think that's really interesting, and you mentioned in there

0:21:07.119 --> 0:21:09.960
<v Speaker 2>specifically as it comes to AI. Let's be honest, can't

0:21:10.000 --> 0:21:12.159
<v Speaker 2>help almost every conversation I have clients, even when we

0:21:12.240 --> 0:21:14.280
<v Speaker 2>go in with a different topic of conversation. I feel

0:21:14.280 --> 0:21:19.000
<v Speaker 2>like we always come back to AI. I think it's

0:21:19.000 --> 0:21:21.000
<v Speaker 2>interesting what you said, they're looking beyond AI, looking beyond

0:21:21.040 --> 0:21:23.480
<v Speaker 2>the data centers, and I know you mentioned also this

0:21:23.640 --> 0:21:26.080
<v Speaker 2>really keen focus that your team has on the three

0:21:26.119 --> 0:21:28.879
<v Speaker 2>to five year right and where the opportunity is going

0:21:28.920 --> 0:21:31.399
<v Speaker 2>to sit there. Naturally, though, we've got this volatility and

0:21:31.440 --> 0:21:33.840
<v Speaker 2>this tension, great opportunities to lean in when you get

0:21:33.880 --> 0:21:37.280
<v Speaker 2>when you get some of this volatility, where in the

0:21:37.400 --> 0:21:41.679
<v Speaker 2>AI ecosystem or which aspects of AI are you watching

0:21:41.720 --> 0:21:46.680
<v Speaker 2>most closely right now, understanding that you're prioritizing where things

0:21:46.680 --> 0:21:48.359
<v Speaker 2>are going to be in a three to five year window.

0:21:49.320 --> 0:21:52.680
<v Speaker 3>Yeah, happy to share some insights there. And I think firstly,

0:21:53.520 --> 0:21:56.080
<v Speaker 3>it's there's no getting away from the fact that AI

0:21:56.280 --> 0:22:00.280
<v Speaker 3>has and will continue to dominate the investment landscape. You know,

0:22:00.280 --> 0:22:03.879
<v Speaker 3>we're anticipating about three to four trillion dollars in AI

0:22:04.000 --> 0:22:07.000
<v Speaker 3>infrastructure spend by the end of this decade, and what

0:22:07.119 --> 0:22:10.040
<v Speaker 3>companies are telling us is that they likely need to

0:22:10.119 --> 0:22:13.400
<v Speaker 3>double compute every six months, which obviously means a three

0:22:13.520 --> 0:22:16.560
<v Speaker 3>hundred to one thousand time increase over the next four

0:22:16.560 --> 0:22:22.360
<v Speaker 3>to five years as they strive towards AGI or artificial

0:22:22.480 --> 0:22:25.480
<v Speaker 3>general intelligence. And if we want to put things in perspective,

0:22:25.480 --> 0:22:30.320
<v Speaker 3>it's really most comparable to the nineteenth century railway boom

0:22:30.640 --> 0:22:35.000
<v Speaker 3>with both of these both of these representing massive transformative

0:22:35.359 --> 0:22:39.679
<v Speaker 3>and potentially speculative investment cycles. And to put things in perspective,

0:22:40.320 --> 0:22:43.520
<v Speaker 3>Gilded Age railroad investment peaked at about six percent of GDP,

0:22:43.920 --> 0:22:46.879
<v Speaker 3>But if we look at AI hyperscaler Capex alone in

0:22:46.920 --> 0:22:49.359
<v Speaker 3>twenty twenty five, it was about two percent of GDP,

0:22:49.480 --> 0:22:53.879
<v Speaker 3>And obviously it's been increasing by the day, and a

0:22:53.880 --> 0:22:55.680
<v Speaker 3>lot of people will always ask us, you know, why

0:22:55.720 --> 0:22:57.800
<v Speaker 3>are we engaging in one of the costs theiest buildings

0:22:57.840 --> 0:23:00.679
<v Speaker 3>freeze in human history. You take a over the last

0:23:00.680 --> 0:23:03.240
<v Speaker 3>three years of AI spend and it's greater than when

0:23:03.240 --> 0:23:06.120
<v Speaker 3>it costs to build the US Interstate highway network over

0:23:06.200 --> 0:23:09.560
<v Speaker 3>forty years. You know why are we seeing multi billion

0:23:09.680 --> 0:23:14.280
<v Speaker 3>dollar AI factories bigger than ten home depots being built

0:23:14.359 --> 0:23:19.080
<v Speaker 3>in windswept towns like Ellendale, North Dakota, which has eleven

0:23:19.160 --> 0:23:22.680
<v Speaker 3>hundred people, two motels, one dollar general, and a Pentecostal

0:23:22.920 --> 0:23:28.320
<v Speaker 3>Bible college. The reality is that AI compute demand continues

0:23:28.400 --> 0:23:33.240
<v Speaker 3>to exceed supply it's the fastest growing technology in history,

0:23:33.320 --> 0:23:38.840
<v Speaker 3>faster than the TVs, the Internet, smartphones, or previous computing revolutions.

0:23:39.320 --> 0:23:41.719
<v Speaker 3>You look at the consumer space, Chat GBT cheap one

0:23:41.760 --> 0:23:44.440
<v Speaker 3>hundred million users in two months and is now close

0:23:44.480 --> 0:23:47.280
<v Speaker 3>to nine hundred million. You know, that's a record for

0:23:47.359 --> 0:23:50.200
<v Speaker 3>a consumer app. We now have seventy to eighty eight

0:23:50.240 --> 0:23:53.639
<v Speaker 3>percent of businesses and ninety nine percent of the Fortune

0:23:53.680 --> 0:23:58.120
<v Speaker 3>five hundred who are actively deploying or exploring deploying GENAI.

0:23:58.680 --> 0:24:01.919
<v Speaker 3>That compares to only ten percent two years ago, and

0:24:02.000 --> 0:24:04.200
<v Speaker 3>seventy five percent of companies say that they are now

0:24:04.280 --> 0:24:08.240
<v Speaker 3>completing tasks that they were never able to do before.

0:24:08.600 --> 0:24:11.320
<v Speaker 3>The reality is this is unlikely to change any time soon,

0:24:12.080 --> 0:24:14.200
<v Speaker 3>given that we're only three to four years into what

0:24:14.320 --> 0:24:17.639
<v Speaker 3>is likely a twenty five year investment supercycle, and that

0:24:17.760 --> 0:24:21.600
<v Speaker 3>the street is consistently underestimated the cappex in this space.

0:24:22.280 --> 0:24:25.520
<v Speaker 3>But that said, you know, if we bring this to

0:24:25.960 --> 0:24:30.879
<v Speaker 3>an investment and a portfolio in terms of perspectives, the

0:24:30.920 --> 0:24:33.919
<v Speaker 3>long term opportunity is really going to be rooted in

0:24:34.080 --> 0:24:38.960
<v Speaker 3>sentiment on ROI and return on investment, and that balance

0:24:38.960 --> 0:24:43.200
<v Speaker 3>that exists between AI capabilities long term incremental revenues and

0:24:43.320 --> 0:24:48.920
<v Speaker 3>productivity and efficiency upside. And obviously we're seeing growing revenue

0:24:48.960 --> 0:24:51.159
<v Speaker 3>opportunities if you look at what's happening in terms of

0:24:51.200 --> 0:24:55.200
<v Speaker 3>the cloud with enterprise adoption of AI workloads, what's happening

0:24:55.240 --> 0:25:00.960
<v Speaker 3>in terms of digital advertising with improved targeting an AI subscriptions,

0:25:01.000 --> 0:25:04.680
<v Speaker 3>so people paying for tools and agentic services. These three

0:25:04.720 --> 0:25:08.600
<v Speaker 3>areas alone represent a trillion dollars of incremental revenues over

0:25:08.640 --> 0:25:12.200
<v Speaker 3>the next few years, with AI driven opex and capex

0:25:12.200 --> 0:25:17.480
<v Speaker 3>efficiencies further pushing up company offerating profit margins. But what

0:25:18.600 --> 0:25:21.359
<v Speaker 3>we are really excited about is that shift from data

0:25:21.359 --> 0:25:27.000
<v Speaker 3>center build out toward broader implementation and applications. So this

0:25:27.119 --> 0:25:31.720
<v Speaker 3>includes AI agents across industries. AI at the edge for

0:25:31.800 --> 0:25:35.920
<v Speaker 3>example with smart glasses and new form factors, and physical

0:25:35.920 --> 0:25:40.240
<v Speaker 3>AI in spaces like autonomous vehicles and humanoid robots with

0:25:40.320 --> 0:25:46.320
<v Speaker 3>up to fifty trillion dollars of industry set to become autonomous.

0:25:46.400 --> 0:25:48.679
<v Speaker 3>And from a macro perspective, if you go back to

0:25:48.720 --> 0:25:52.040
<v Speaker 3>the macro, what I would stress is that AI could

0:25:52.040 --> 0:25:55.400
<v Speaker 3>contribute up to fourteen percent of global GDP by twenty

0:25:55.520 --> 0:25:58.640
<v Speaker 3>thirty and put some perspective, we're talking about fifteen point

0:25:58.760 --> 0:26:04.280
<v Speaker 3>seven trillion dollar worth of GDP as AI enables automation products,

0:26:04.320 --> 0:26:09.119
<v Speaker 3>decision making scale across sectors, and this is key they

0:26:09.160 --> 0:26:13.560
<v Speaker 3>boost global productivity after twenty years of stagnation or decline.

0:26:13.600 --> 0:26:16.720
<v Speaker 3>You know, we're talking about nine hundred billion plus and

0:26:16.760 --> 0:26:20.440
<v Speaker 3>benefits for the SMP five hundred and this translates into

0:26:20.440 --> 0:26:25.080
<v Speaker 3>about sixteen trillion dollars in potential long term market value

0:26:25.119 --> 0:26:29.280
<v Speaker 3>creation potential. And what companies are telling us quarter after quarter,

0:26:29.359 --> 0:26:32.439
<v Speaker 3>the reporting is improving in this regard. They're telling us

0:26:32.440 --> 0:26:36.120
<v Speaker 3>about the profound productivity shifts that are coming from AI,

0:26:36.560 --> 0:26:39.440
<v Speaker 3>you know, improving the efficiency of coding by eighty percent,

0:26:39.920 --> 0:26:43.400
<v Speaker 3>AI speeding up drug development by eight to twelve times.

0:26:43.800 --> 0:26:47.159
<v Speaker 3>AI accounting for seventy five percent of claims adjustment and

0:26:47.240 --> 0:26:51.000
<v Speaker 3>underwriting in the insurance sector, all the way through to

0:26:51.000 --> 0:26:54.520
<v Speaker 3>total cost of ownership savings versus humans of up to

0:26:54.560 --> 0:26:59.960
<v Speaker 3>eighty five percent in the manufacturing sector. So massive opportunities

0:27:00.080 --> 0:27:03.360
<v Speaker 3>beyond the data center. Also some areas for caution, which

0:27:03.359 --> 0:27:05.800
<v Speaker 3>I'm happy to get into if that might be of interest.

0:27:05.960 --> 0:27:09.800
<v Speaker 2>Well, I think what is really refreshing to hear is naturally,

0:27:09.800 --> 0:27:12.119
<v Speaker 2>over the last eighteen months in particular, it's been so

0:27:12.240 --> 0:27:14.199
<v Speaker 2>focused and I don't mean to say that it shouldn't be.

0:27:14.280 --> 0:27:16.199
<v Speaker 2>We know that these bottlenecks are very much what need

0:27:16.240 --> 0:27:17.760
<v Speaker 2>to be salved for the next three years. It's where

0:27:17.760 --> 0:27:20.480
<v Speaker 2>the capex is having to be allocated. It is the

0:27:20.560 --> 0:27:24.879
<v Speaker 2>upstream bottlenecks and that real infrastructure component of enabling AI.

0:27:25.320 --> 0:27:26.960
<v Speaker 2>It is a little bit refreshing, actually a hy bit

0:27:26.960 --> 0:27:29.760
<v Speaker 2>of a conversation that sometimes has been very much put

0:27:29.800 --> 0:27:32.040
<v Speaker 2>on the back burner because you're not necessarily seen into

0:27:32.040 --> 0:27:34.600
<v Speaker 2>the stock performance about those downstreams. So like if you

0:27:34.600 --> 0:27:38.160
<v Speaker 2>know upstream AI versus downstream MAYI. It really has been

0:27:38.440 --> 0:27:41.120
<v Speaker 2>a bit of the forgotten spot, I would say over

0:27:41.119 --> 0:27:44.879
<v Speaker 2>the last eighteen months, if anything, maybe getting hit a

0:27:44.880 --> 0:27:48.520
<v Speaker 2>little bit harder versus all that focus on the upstream

0:27:48.560 --> 0:27:52.760
<v Speaker 2>and it is refreshing, just a hard thing to have

0:27:52.800 --> 0:27:55.520
<v Speaker 2>the conversations about. Is patience is a virtue in this

0:27:55.600 --> 0:27:59.639
<v Speaker 2>type of situation, right totally? And I do think I

0:27:59.680 --> 0:28:01.720
<v Speaker 2>do think that's something especially as you say that you

0:28:01.760 --> 0:28:04.159
<v Speaker 2>guys are so focused on three to five years, is

0:28:04.160 --> 0:28:06.000
<v Speaker 2>that's where you're going to start to really see those

0:28:06.040 --> 0:28:09.600
<v Speaker 2>downstream acceleration of the work that got put in now

0:28:10.040 --> 0:28:12.280
<v Speaker 2>and it actually paying off into some of those downstream

0:28:12.280 --> 0:28:15.440
<v Speaker 2>applications and their growth. There that being said, I did

0:28:15.480 --> 0:28:18.560
<v Speaker 2>notice now a couple of things. One, I'm also Canadian,

0:28:18.800 --> 0:28:23.600
<v Speaker 2>really appreciated the puck reference. Two, I will always take

0:28:23.640 --> 0:28:27.919
<v Speaker 2>one of those two. I did notice that in your

0:28:28.000 --> 0:28:31.000
<v Speaker 2>in your Mega trans breakdown, you also flagged something else

0:28:31.000 --> 0:28:36.000
<v Speaker 2>that I'm deeply passionate about power and power being back

0:28:36.160 --> 0:28:38.680
<v Speaker 2>on the agenda. I think those are the words that

0:28:38.800 --> 0:28:41.680
<v Speaker 2>were maybe in something I've seen come across from your team.

0:28:42.280 --> 0:28:43.840
<v Speaker 3>Sure, let's talk.

0:28:44.160 --> 0:28:47.360
<v Speaker 2>One of the things that I find so interesting about

0:28:47.440 --> 0:28:50.640
<v Speaker 2>power is it's almost like every single time I have

0:28:50.680 --> 0:28:54.360
<v Speaker 2>to enter the conversation saying, guys, deep bottlenecking power and

0:28:54.440 --> 0:28:59.400
<v Speaker 2>improving the power grid has been a priority for a decade,

0:28:59.800 --> 0:29:02.800
<v Speaker 2>more than a decade now, AI just we already had

0:29:02.800 --> 0:29:05.480
<v Speaker 2>a problem, we already needed an investment. AI has just

0:29:05.560 --> 0:29:09.640
<v Speaker 2>now quadrupled you know, this situation and brought it mainstream

0:29:09.720 --> 0:29:12.920
<v Speaker 2>and brought a whole new set of eyes to the situation,

0:29:13.520 --> 0:29:17.080
<v Speaker 2>which I think is really really compelling. I often break

0:29:17.080 --> 0:29:22.160
<v Speaker 2>this down between two things grid tech or centralized power versus.

0:29:22.560 --> 0:29:26.560
<v Speaker 2>I'm loving seeing actually the increased focus, particularly from the

0:29:26.600 --> 0:29:30.560
<v Speaker 2>tech investors towards decentralized power. So I'm interested to hear

0:29:31.120 --> 0:29:34.040
<v Speaker 2>your take on how your team is addressing this power

0:29:34.080 --> 0:29:37.240
<v Speaker 2>being back on the agenda and how you're working that

0:29:37.280 --> 0:29:40.080
<v Speaker 2>into your current ethos. Yeah.

0:29:40.400 --> 0:29:43.800
<v Speaker 3>Perfect, happy to share some thoughts there. We're we're in

0:29:43.800 --> 0:29:46.240
<v Speaker 3>total agreement with you. And you know, if you take

0:29:46.240 --> 0:29:47.920
<v Speaker 3>a look at the US, if you look at many

0:29:48.000 --> 0:29:51.280
<v Speaker 3>developed markets, you know we're seeing power demand is increasing

0:29:51.480 --> 0:29:56.239
<v Speaker 3>after two decades of relative stagnation. It's being driven by

0:29:56.240 --> 0:29:58.800
<v Speaker 3>the growth in AI and data centers, as well as

0:29:58.840 --> 0:30:05.720
<v Speaker 3>industrial activity from reshoring and then increasing electrification across industry

0:30:05.800 --> 0:30:09.200
<v Speaker 3>sectors and across end markets. And just to put things

0:30:09.200 --> 0:30:12.600
<v Speaker 3>in perspective, if we look at US data centers alone,

0:30:12.960 --> 0:30:17.440
<v Speaker 3>you know, monthly and annual capacity editions reached record highs,

0:30:17.640 --> 0:30:20.520
<v Speaker 3>record monthly eyes at one point four gigawatts in December,

0:30:21.120 --> 0:30:23.800
<v Speaker 3>record annual highs in the US at ten gigawatts in

0:30:23.880 --> 0:30:28.040
<v Speaker 3>twenty twenty five. Now this matters because a one gigawatt

0:30:28.080 --> 0:30:30.880
<v Speaker 3>data center consumes the equivalent electricity of seven hundred and

0:30:30.920 --> 0:30:35.440
<v Speaker 3>fifty to eight hundred thousand homes. Data centers have boosted

0:30:35.560 --> 0:30:39.240
<v Speaker 3>US power demand growth to the highest level in twenty years,

0:30:40.000 --> 0:30:42.840
<v Speaker 3>leading to more than half of regional power markets reaching

0:30:42.880 --> 0:30:46.760
<v Speaker 3>critical tightness last year. And if we look forward, we're

0:30:46.800 --> 0:30:49.040
<v Speaker 3>in total agreement with you. You know, data centers could be

0:30:49.080 --> 0:30:55.280
<v Speaker 3>consuming twelve percent of total electricity in the US now

0:30:55.320 --> 0:30:59.000
<v Speaker 3>at gatesst Backdob. We really see investment opportunities as being

0:30:59.200 --> 0:31:03.240
<v Speaker 3>driven by for key dynamics. The first thing is going

0:31:03.280 --> 0:31:05.720
<v Speaker 3>to be a focus on low cost energy to support

0:31:06.000 --> 0:31:11.200
<v Speaker 3>rapid AI infrastructure growth and reshoring of industrial capabilities. This

0:31:12.160 --> 0:31:14.320
<v Speaker 3>is going to include natural gas. It's also going to

0:31:14.400 --> 0:31:18.040
<v Speaker 3>include decentralized power. Secondly, there needs to be an increasing

0:31:18.080 --> 0:31:23.719
<v Speaker 3>focus on innovative technologies. We've seen a lot of excitement

0:31:23.840 --> 0:31:28.000
<v Speaker 3>and take up with regards to nuclear and particular SMRs,

0:31:28.080 --> 0:31:33.600
<v Speaker 3>but also things like carbon capture batteries and energy storage. Thirdly,

0:31:34.040 --> 0:31:38.080
<v Speaker 3>we're probably looking at a situation of global energy deflation

0:31:38.880 --> 0:31:42.560
<v Speaker 3>as the US exports cheap natural gas to key global markets.

0:31:42.880 --> 0:31:46.040
<v Speaker 3>And then finally, this is an area where we need

0:31:46.080 --> 0:31:48.240
<v Speaker 3>to need to engage in a.

0:31:48.200 --> 0:31:49.120
<v Speaker 1>Certainly re of caution.

0:31:49.640 --> 0:31:52.240
<v Speaker 3>We think that the political dynamics are going to become

0:31:52.440 --> 0:31:58.800
<v Speaker 3>increasingly important. There's a heightened focus on energy build impacts

0:31:58.800 --> 0:32:02.200
<v Speaker 3>for consumers and voters, and this is one of the

0:32:02.560 --> 0:32:08.160
<v Speaker 3>biggest areas of stakeholder backlash to AI. You know, we

0:32:08.200 --> 0:32:11.120
<v Speaker 3>saw one hundred billion dollars worth of data center project

0:32:11.320 --> 0:32:14.440
<v Speaker 3>being canceled. Last year. We saw close to thirty states

0:32:14.480 --> 0:32:18.280
<v Speaker 3>passing regulation in this regard. So definitely something that needs

0:32:18.320 --> 0:32:19.360
<v Speaker 3>to be on our agenda.

0:32:20.000 --> 0:32:21.880
<v Speaker 2>Yeah, and I think it's a good thing to flag

0:32:22.040 --> 0:32:26.200
<v Speaker 2>is nimis ever obviously not new to the energy industry.

0:32:27.320 --> 0:32:30.240
<v Speaker 2>I do think it's new newer to the tech industry.

0:32:30.280 --> 0:32:34.600
<v Speaker 2>They've never really had to navigate that type of dynamic.

0:32:34.680 --> 0:32:37.840
<v Speaker 2>But you're right, it's a It is the stakeholder management

0:32:37.920 --> 0:32:40.920
<v Speaker 2>and stakeholder engagement that goes alongside this type of build

0:32:40.960 --> 0:32:46.040
<v Speaker 2>cycle is not to be underestimated and not to best

0:32:46.080 --> 0:32:48.719
<v Speaker 2>to assume it's not going to be linear and smooth sale. Right.

0:32:48.760 --> 0:32:51.440
<v Speaker 2>I feel like we learned those lessons, or we should

0:32:51.480 --> 0:32:52.400
<v Speaker 2>have learned those lessons.

0:32:53.000 --> 0:32:53.320
<v Speaker 1>Really.

0:32:54.160 --> 0:32:59.200
<v Speaker 3>Also, one of the advantages of a global diversifying the multi.

0:32:59.000 --> 0:33:01.640
<v Speaker 2>Thematic approach of the end absolutely right, and every region

0:33:01.680 --> 0:33:03.920
<v Speaker 2>is going to have it. And naturally, as you said,

0:33:04.040 --> 0:33:06.120
<v Speaker 2>this is a global buildout, right, you can't just be

0:33:06.160 --> 0:33:09.000
<v Speaker 2>building out. Every nation has prioritized it on their national

0:33:09.000 --> 0:33:12.160
<v Speaker 2>security prioritization from an AI perspective. As you mentioned earlier,

0:33:12.160 --> 0:33:15.360
<v Speaker 2>space is also getting recognized for that as well, really

0:33:15.400 --> 0:33:18.840
<v Speaker 2>dovetailing with a national defense for capitalization. So I think

0:33:18.880 --> 0:33:22.360
<v Speaker 2>that's also a really beautiful intersection, is that it's obviously

0:33:22.400 --> 0:33:24.320
<v Speaker 2>been prioritized in the US, but we're seeing it prioritized

0:33:24.360 --> 0:33:27.640
<v Speaker 2>throughout APEC and also through Europe, everybody not wanting to

0:33:27.640 --> 0:33:32.480
<v Speaker 2>be left behind. I think this is maybe a tricky question,

0:33:32.520 --> 0:33:34.120
<v Speaker 2>and to be honest, I don't know how I would answer,

0:33:34.120 --> 0:33:37.720
<v Speaker 2>which is probably why I'm asking, because I'd love to.

0:33:37.680 --> 0:33:38.360
<v Speaker 1>Have an answer.

0:33:38.600 --> 0:33:39.440
<v Speaker 3>I'll give you my best.

0:33:41.000 --> 0:33:42.880
<v Speaker 2>When you think about what you guys are looking at

0:33:42.920 --> 0:33:45.800
<v Speaker 2>right now, or how you're positioned, and where you see

0:33:45.800 --> 0:33:49.280
<v Speaker 2>the opportunity. Is there something that could happen in the

0:33:49.280 --> 0:33:52.600
<v Speaker 2>next twelve months that would pivot you aggressively. You mentioned

0:33:52.600 --> 0:33:56.880
<v Speaker 2>something like a twenty percent average churn there will use

0:33:56.920 --> 0:33:59.800
<v Speaker 2>the term black swan. Is there this potential black swan

0:34:00.320 --> 0:34:05.280
<v Speaker 2>that low probability, but if it happens, you would absolutely

0:34:05.320 --> 0:34:08.120
<v Speaker 2>be looking to make a more dynamic shift within your

0:34:08.160 --> 0:34:09.960
<v Speaker 2>current structuring.

0:34:11.719 --> 0:34:15.160
<v Speaker 3>I wouldn't see there one black subpan, and to be

0:34:15.239 --> 0:34:18.080
<v Speaker 3>quite honest, you know it isn't great for our sleep patterns,

0:34:18.080 --> 0:34:22.640
<v Speaker 3>but we're in a constant process of addressing development that

0:34:22.640 --> 0:34:26.120
<v Speaker 3>could challenge our thematic priorities. We'll get everything from shifts

0:34:26.120 --> 0:34:30.600
<v Speaker 3>in global policy direction in a multipolar world, slowing economic

0:34:30.680 --> 0:34:36.640
<v Speaker 3>activity that can impact CAPEX, competitive intensity, or technological disruption,

0:34:37.239 --> 0:34:41.080
<v Speaker 3>and then valuation compression if expectations run ahead of fundamentals,

0:34:41.480 --> 0:34:43.920
<v Speaker 3>and if I try to bring that in perspective of

0:34:44.360 --> 0:34:46.439
<v Speaker 3>some of the shorter term things that we've been seeing

0:34:46.480 --> 0:34:49.399
<v Speaker 3>in the market. As you can probably imagine, a lot

0:34:49.440 --> 0:34:51.760
<v Speaker 3>of recent emphasis has been on the impact of AI

0:34:52.120 --> 0:34:55.960
<v Speaker 3>on software companies, and this is an area where we've

0:34:56.000 --> 0:35:00.600
<v Speaker 3>been shifting our focus away from slowing set as grows

0:35:00.640 --> 0:35:03.640
<v Speaker 3>over the course of the last few years towards towards

0:35:03.680 --> 0:35:06.360
<v Speaker 3>a variety of new drivers. So we're placing an increasing

0:35:06.360 --> 0:35:10.840
<v Speaker 3>emphasis on outcomes rather than seats on tapping into booming

0:35:11.040 --> 0:35:15.839
<v Speaker 3>AI budgets. These continued to increase, while overall IT budgets

0:35:16.040 --> 0:35:20.799
<v Speaker 3>are flat or stagnating. The rethinking of interfaces and the

0:35:20.800 --> 0:35:25.279
<v Speaker 3>monetization of AI agents on top systems of record, and

0:35:25.320 --> 0:35:28.080
<v Speaker 3>from a valuation perspective, you know, we're also looking at

0:35:28.160 --> 0:35:32.920
<v Speaker 3>valuations which have sometimes fallen into their routines, but in

0:35:33.040 --> 0:35:35.959
<v Speaker 3>light of free cash flow multiples which are even better

0:35:36.000 --> 0:35:41.400
<v Speaker 3>than that, and with net cash balance sheets. But ultimately,

0:35:41.520 --> 0:35:44.400
<v Speaker 3>you know, we consider ourselves experts on structural change. That

0:35:44.560 --> 0:35:47.280
<v Speaker 3>is our bread and butter, and what we're obsessively focused

0:35:47.320 --> 0:35:50.440
<v Speaker 3>on is many of the emerging challenges that are ignored

0:35:50.480 --> 0:35:53.800
<v Speaker 3>by shorter term investors. Just to give you a flavor,

0:35:54.120 --> 0:35:57.680
<v Speaker 3>you know, we're seeing significant negative shifts in public sentiment

0:35:57.800 --> 0:36:00.800
<v Speaker 3>on AI. One of the major service is on twenty

0:36:00.800 --> 0:36:03.239
<v Speaker 3>twenty five is that fifty percent of Americans are now

0:36:03.320 --> 0:36:07.719
<v Speaker 3>more concerned than excited about AI. You know, we're looking

0:36:07.719 --> 0:36:10.560
<v Speaker 3>at the macro impacts. AI is currently able to automate

0:36:10.680 --> 0:36:15.279
<v Speaker 3>twenty five percent of all working hours. What is this

0:36:15.360 --> 0:36:18.080
<v Speaker 3>going to mean in terms of the need for rescaling

0:36:18.160 --> 0:36:21.759
<v Speaker 3>and upscaling. And then we're looking at things like electricity

0:36:21.800 --> 0:36:24.320
<v Speaker 3>and power, which we talked about. You know, one hundred

0:36:24.320 --> 0:36:28.120
<v Speaker 3>regulations in thirty states passed in the US in twenty

0:36:28.160 --> 0:36:30.920
<v Speaker 3>twenty five alone, and we're now talking about things like

0:36:30.960 --> 0:36:34.759
<v Speaker 3>whole set electricity auctions to fund long term contracts for

0:36:34.960 --> 0:36:38.960
<v Speaker 3>power generation capacity. All of these things are potentially on

0:36:39.840 --> 0:36:43.239
<v Speaker 3>the horizon and obviously could impact the composition of the

0:36:44.120 --> 0:36:45.239
<v Speaker 3>underlying portfolio.

0:36:46.040 --> 0:36:47.680
<v Speaker 2>I mean, I don't know if you guys saw it,

0:36:47.719 --> 0:36:51.440
<v Speaker 2>but the Chris Hemsworth Super Bowl ad yesterday fear of AI, right,

0:36:51.640 --> 0:36:56.239
<v Speaker 2>it is true or pell great at one other And

0:36:56.280 --> 0:36:58.759
<v Speaker 2>maybe this will be my final question and I'll leave

0:36:58.800 --> 0:37:02.160
<v Speaker 2>it to David. The thing that I think twenty twenty

0:37:02.200 --> 0:37:08.200
<v Speaker 2>five was most under the radar takeaway for thematic investing

0:37:08.880 --> 0:37:12.560
<v Speaker 2>from my perspective was I think we're seeing institutional investors

0:37:13.200 --> 0:37:16.439
<v Speaker 2>finally understand this is where you are to be front

0:37:16.440 --> 0:37:18.839
<v Speaker 2>footed right, just the drag and the leg that you're

0:37:18.880 --> 0:37:21.360
<v Speaker 2>inherently exposed to with some of the more traditional constructs.

0:37:21.640 --> 0:37:23.480
<v Speaker 2>I think we saw it. We saw it specifically track

0:37:23.520 --> 0:37:25.719
<v Speaker 2>a lot of the global thematic ETF flows naturally, and

0:37:26.360 --> 0:37:29.560
<v Speaker 2>we were seeing just based off the behavior, it was

0:37:29.600 --> 0:37:32.480
<v Speaker 2>a record year for thematic etfmflow through twenty twenty five,

0:37:32.640 --> 0:37:36.040
<v Speaker 2>really strong start to twenty twenty six as well. Interestingly,

0:37:36.320 --> 0:37:39.320
<v Speaker 2>where we saw the biggest allocations were going to these big,

0:37:40.520 --> 0:37:47.799
<v Speaker 2>heavy structural demand type areas AI, defense, infrastructure, nuclear. I'd

0:37:47.800 --> 0:37:49.520
<v Speaker 2>love to hear your opinion on the fact that we

0:37:49.640 --> 0:37:52.319
<v Speaker 2>have hopefully hit that inflection point thematic investing where once

0:37:52.400 --> 0:37:53.960
<v Speaker 2>upon a time it was purely thought to be a

0:37:54.000 --> 0:37:58.960
<v Speaker 2>retail investor type of focus and the potential for us

0:37:59.000 --> 0:38:02.520
<v Speaker 2>to be gaining some real traction amongst institutional investors.

0:38:02.880 --> 0:38:05.480
<v Speaker 3>Sure, I'm in total agreement with you in that regard,

0:38:05.560 --> 0:38:08.720
<v Speaker 3>and if anything, we would argue that thematics and mega

0:38:08.760 --> 0:38:13.600
<v Speaker 3>trends are increasingly relevant for all investors' retail as well

0:38:13.640 --> 0:38:16.279
<v Speaker 3>as institutional. You know, I talked about our Yogi Bara

0:38:16.360 --> 0:38:18.120
<v Speaker 3>quote at the future ain't what it used to be,

0:38:18.800 --> 0:38:20.960
<v Speaker 3>but it's very much our view that, you know, thematics

0:38:20.960 --> 0:38:25.000
<v Speaker 3>and mega trends are increasingly key to capturing alpha from

0:38:25.000 --> 0:38:29.640
<v Speaker 3>the combination of investing in high quality growth companies benefiting

0:38:29.640 --> 0:38:32.880
<v Speaker 3>from structural change put at a reasonable price, as well

0:38:33.040 --> 0:38:36.480
<v Speaker 3>as longer term thematic optionality. So the alpha story is

0:38:36.560 --> 0:38:40.880
<v Speaker 3>key here, but the relevance for investors goes well beyond this.

0:38:41.040 --> 0:38:43.520
<v Speaker 3>It really lies at the heart of investor's ability to

0:38:44.239 --> 0:38:49.160
<v Speaker 3>retain and grow their books at business and as you

0:38:49.200 --> 0:38:52.279
<v Speaker 3>alluded to, investors need to follow the follow the money,

0:38:52.320 --> 0:38:55.560
<v Speaker 3>and follow the dollars. Thematic assets reach a three year

0:38:55.680 --> 0:38:58.600
<v Speaker 3>high last year of seven hundred and seventy nine billion

0:38:58.680 --> 0:39:02.520
<v Speaker 3>dollars globally, and this is no longer a European phenomenon.

0:39:02.600 --> 0:39:07.399
<v Speaker 3>The US has been seeing the fastest growth worldwide. USAUM

0:39:07.440 --> 0:39:10.360
<v Speaker 3>has grown fifty percent over the last three years, helped

0:39:10.400 --> 0:39:14.000
<v Speaker 3>again by the rise of active btfs. But secondly, we

0:39:14.120 --> 0:39:18.760
<v Speaker 3>need to pay attention to the changing demographics. Forty percent

0:39:18.960 --> 0:39:24.239
<v Speaker 3>of American millennials and forty percent of American gen z

0:39:24.440 --> 0:39:26.600
<v Speaker 3>or gen z as we woul say in Canada, investors

0:39:26.960 --> 0:39:31.080
<v Speaker 3>those aged thirty to forty five and fourteen to twenty nine, respectively,

0:39:31.719 --> 0:39:37.160
<v Speaker 3>already use thematic mega trends investment. And then finally, you know,

0:39:37.200 --> 0:39:41.400
<v Speaker 3>we're in the midst of the largest ever generational wealth

0:39:41.480 --> 0:39:44.200
<v Speaker 3>transfer in human history. You know, we're looking at one

0:39:44.239 --> 0:39:47.200
<v Speaker 3>hundred and twenty four trillion dollars which is set to

0:39:47.600 --> 0:39:51.480
<v Speaker 3>shift to younger generations in the US alone by twenty

0:39:51.520 --> 0:39:56.520
<v Speaker 3>forty eight. But in an extremely worrying sign, only thirteen

0:39:56.719 --> 0:40:01.359
<v Speaker 3>percent of investors retain their parents, grand parents, fa their

0:40:01.360 --> 0:40:04.799
<v Speaker 3>financial advisor when the money passes hands. You know, I

0:40:04.840 --> 0:40:07.520
<v Speaker 3>talked about those Code Act moments earlier, but the reality

0:40:07.640 --> 0:40:11.880
<v Speaker 3>is that younger investors think and act differently than previous cohorts.

0:40:12.760 --> 0:40:15.719
<v Speaker 3>And ultimately, you know what This comes down to is

0:40:15.760 --> 0:40:20.560
<v Speaker 3>that the logic and the expectations of yesteryear are becoming

0:40:20.600 --> 0:40:23.960
<v Speaker 3>obsolete in a transforming world, and mega trends investing is

0:40:23.960 --> 0:40:28.680
<v Speaker 3>going to be critical to reduce the looming risk of disintermediation. So,

0:40:28.719 --> 0:40:31.520
<v Speaker 3>in a nutshell, what we continue to do, what we've

0:40:31.520 --> 0:40:35.520
<v Speaker 3>always done, is to urge investors, whether they're institutional or retail,

0:40:35.680 --> 0:40:38.960
<v Speaker 3>as well as their end clients, to look beyond the horizon,

0:40:39.640 --> 0:40:43.120
<v Speaker 3>to focus on the long term, to go global, to

0:40:43.200 --> 0:40:48.440
<v Speaker 3>diversify or cross opportunities, to be forward looking, and ultimately

0:40:48.480 --> 0:40:52.920
<v Speaker 3>to capture future wealth for multiple generations to come. And

0:40:53.000 --> 0:40:54.680
<v Speaker 3>at the end of the day, you know, that's what

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<v Speaker 3>we're trying to do with Bizarred equity, mega trends or themes.

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<v Speaker 1>That's a great way to end it. This was a

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<v Speaker 1>fantastic discussion, Sars. Thank you again for joining us.

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<v Speaker 3>Pleasure was mine. Thank you for having me and.

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<v Speaker 1>Bri as always, thank you for being my co host.

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<v Speaker 2>I never say no. David always one of my favorites,

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<v Speaker 2>and this was a particularly engaged conversation, so thank you

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<v Speaker 2>so much.

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<v Speaker 3>This is good.

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<v Speaker 1>I also want to thank our listeners. If you liked

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<v Speaker 1>the episode, please share it, subscribe and leave a review,

0:41:25.480 --> 0:41:27.120
<v Speaker 1>and if you'd like to see more of our research

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<v Speaker 1>on the terminal, go to bi fund, go for fund

0:41:29.960 --> 0:41:34.080
<v Speaker 1>and Active Research and BiH EM go for thematic research.

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<v Speaker 1>Until our next episode, This is David Combe with Inside

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<v Speaker 1>Active