FidelityConnects: Passing the Torch: The Future of Fidelity Insights Class®
With markets in motion and a leadership transition ahead, understanding the future trajectory of Fidelity Insights Class® has never been more important.
Join portfolio managers Nidhi Gupta and Matthew Drukker for a timely update on the fund, including current themes, sector positioning, and the research process guiding their decisions. They’ll also discuss the handoff from retiring portfolio manager Will Danoff, and how they plan to maintain continuity while unlocking new areas of opportunity.
Transcript
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Hello, and welcome to Fidelity Connects.
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I'm Agnes Doherty.
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After an extraordinary 40-year career at
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Fidelity portfolio manager Will Danoff will retire from
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day-to-day portfolio management at the end of 2026.
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In Canada Will oversees the Fidelity Insights Class Fund
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which has compounded at a rate of 17% annualized,
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outperforming the S&P 500 by 2% annualized
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since its inception in 2017.
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The good news is that Will Danoff will remain at Fidelity
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in an advisory capacity, ensuring that his investment
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knowledge continues to make an impact on both the
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organization and investors.
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Our next guests currently co-manage the fund alongside
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Mr. Danoff and will continue to hold co-manager positions
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following his retirement.
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What comes next for Fidelity Insights Class as it begins
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this new chapter, and how is the portfolio positioned
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today as market conditions evolve?
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Joining me now to discuss this and to provide an update on
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Fidelity Insights Class are portfolio managers,
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Nidhi Gupta and Matthew Drukker.
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Hello, Nidhi and Matt.
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Welcome to Fidelity Connects.
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Hi, happy to be here.
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Thank you.
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Just a reminder to everyone, today's webcast features live
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French audio interpretation and we also have a Q and A
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box available so please enter any questions that you do
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have. Nidhi and Matt, a really interesting fact
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about both of you, you started at Fidelity both as interns
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back in 2008.
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For many people in the audience today they may not have
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heard from you before so I think a really nice place to
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start the conversation would be to talk a little bit about
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your career so far, your journey at Fidelity.
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Nidhi, we'll start off with you.
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Thank you for having me and thank you everyone for all
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the support over the years.
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Matt and I actually started as interns in the summer of
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2007, we joined full-time
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in 2008 so we've been at Fidelity for
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almost 20 years.
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In that time I've managed several
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different funds since 2013,
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including Fidelity Advisor New Insights, which I
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began managing with Will in
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2020 so it's been almost six years on
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that partnership.
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Before that I was managing about $15 billion of tech
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sector funds for Fidelity.
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Before that the Communication Services Sector Fund
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with strong performance on all of those
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products.
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I was also our global technology sector leader
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for several years.
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During that time I covered as an analyst
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a lot of the large tech stocks
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including Google, Meta, Amazon, Netflix.
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Throughout my years at Fidelity as an analyst
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I actually started on our international team so I
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covered several different international industries
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including stocks within the industrial sector, the consumer
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sector. Prior to Fidelity I've covered the
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health care sector.
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Together Matt and I, I think, have covered the vast
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majority of the S&P 500.
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I think, most importantly, we've covered a lot of the
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biggest stocks in the index, I mentioned some
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of them.
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That's been hugely valuable because these are the companies
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that are growing the fastest and
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really setting the tone for a lot of the
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secular trends in the market.
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I would say the partnership with Will has
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been very organic over the years.
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I've worked closely with him on all the stocks I've
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covered throughout my career at Fidelity and all the funds
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that I've managed, especially when I
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covered some of these larger tech stocks that
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were some of the biggest positions of his
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portfolio that was when we developed a much closer
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relationship and he asked me to join him
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on Fidelity Advisor New Insights in 2020.
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That's been an incredible partnership and we've had really
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strong performance on that fund.
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Matt and I look to really continue the
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tradition with these additional
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assets.
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Matt, how about you?
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What's your Fidelity journey look like?
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I think as Nidhi said one of the things that's
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really special about this journey to now co-manage
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with her is we grew up as investors together.
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We covered a lot of different stocks, we managed select
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funds and we had the opportunity
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to work more and more closely with Will over time.
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I became a diversified co-manager with Will two years
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ago, so I joined four years after
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Nidhi.
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I think Will selected both of us because we're drawn to the
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same core philosophy that stocks follow earnings.
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We also have the same process that focuses
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on staying close to the industries, working
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with our very strong team of Fidelity analysts to
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find opportunities.
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We know how to work with the team because we were both
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analysts for the
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better part of a decade and a half.
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We're spending time together, meeting with companies,
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including quarterly callbacks, we're continuously
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seeking to identify stocks where
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growth is underappreciated by the market either
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in magnitude or durability.
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I think with two of us as co-PMs we can cover even
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more ground.
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Growing up as investors at Fidelity
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we've been through a number of very different market
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environments. Early in our careers we were actually interns
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in 2007 before the financial crisis so we
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started in our seats as that GFC
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unfolded. That was a formative experience.
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At the time I covered consumer discretionary companies
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and I remember Will reminding me,
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Matt, restaurants can be the canary in the coal mine for
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consumer sentiment.
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Consumers are two-thirds of the economy.
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When they start to feel less bad you might see it
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first in a splurge for better coffee in the morning.
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We started tracking
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store level activity at Starbucks very closely
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and sure enough, when same store sales
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stopped getting bad in March 2009 that
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turned out to be one of the earliest signs that cycle
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had bottomed. That early experience really
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reinforced how closely studying businesses
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can give you an investment edge.
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Of course, the real highlight was going with Will to
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meet Howard Schultz and dig into Starbucks' plan
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to sustain growth even after the stock had more
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than doubled from the lows.
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Will always says, just because a stock has doubled doesn't
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mean you've missed it. We didn't miss that one.
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As Nidhi said, over the next decade I went on to cover
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other sectors in communication services.
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Tech and communication
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services are now about half the market.
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Over the time covering tech we've seen these large digital
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platforms has really given us
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a front row seat to several major technological transitions
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from the rise of the internet, the mobile internet,
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cloud, the evolution of digital advertising and
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video streaming. Mow we're in this next
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phase as generative AI begins to
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reshape many industries and drive a
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big part of the economy.
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We feel well prepared for that.
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Just throughout all of these environments and
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investment trends the constant has been working closely
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with Will. His approach has always been bottom-up
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fundamental research and a simple idea
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that over the long run stocks follow earnings.
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That philosophy has guided the fund for decades and
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it will continue to even when Will steps down
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from his active PM role to become an
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advisor at year end.
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There's no doubt that Will Donoff has been one of the most
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successful franchises here at Fidelity.
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It's so incredible, you two are the
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stars that have been chosen to take over
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the reins. It's so interesting listening to you speak
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because I'm hearing things like you grew up together in
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Fidelity working alongside Will and his
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team. It sounds like there's such an inherent, strong team
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approach to everything and Will has really sort of
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institutionalized his way of thinking.
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Nidhi, if I could pass the next question to you, I'd love
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to just hear a little bit more about your experience
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working with Will Danoff and what are the sort of
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key elements of his process that you're going to continue
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to carry through in the Insights Fund today.
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Matt mentioned one of them, which is stocks follow
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earnings.
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That means we're doing bottoms-up research, we're working
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really closely with the research department which covers
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over 2,000 stocks globally.
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As Matt mentioned, we've been in the trenches with the
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research department so we have close relationships there.
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Will's other philosophy is keep turning over rocks,
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keep looking for ideas, keep learning from companies.
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For Matt and I, we sit right next to Will, Will
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sits right there, Matt sits on the other side of him, just
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this mantra
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of keep turning over rocks, that's kind of the air
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Matt and I breathe every day, and we have been for
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almost 20 years.
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We spend a lot of time meeting companies.
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In our offices we're usually
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packed with a schedule of
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back-to-back meetings with CEOs and CFOs on a daily
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basis in our offices.
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We're very frequently travelling to meet companies
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at their offices.
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Matt and I are actually going to go to California with Will
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next week.
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We're going to meet with Jensen at the Nvidia GTC
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conference in San Jose.
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We're having dinner with OpenAI.
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We were out in California in December.
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We had an amazing lineup.
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These are industry leaders, they're pioneers in
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the industry and we're getting a front
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row to these
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executives and founders and what they're
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trying to build, and that's extremely valuable.
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I mean, at the end of the day, this is a people business,
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you're all trusting us as fund managers
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and we're, in turn, trusting these founders
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and CEOs to build these
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businesses.
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I think that trust takes time to build
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and it's something Matt and I have worked hard at over
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our nearly 20 years at Fidelity.
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I can share a few examples but this
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trust is really what ultimately helps us
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sort of filter through the noise in the market and
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really figure out who the winners and losers
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will be in a particular industry, as
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opposed to getting caught up in the
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quarterly earnings reports or the daily
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kind of volatility of geopolitical risk
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and whatnot.
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Google, it was deemed an AI loser
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in 2023 and 2024.
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We've known the company
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since the IPO, we
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had a lot of conviction that they have the best AI
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technology and the best management team to get
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it done. The stock has doubled
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since then. Netflix, the stock
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got under $20 in 2022, the
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market sentiment was awful.
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We went out to meet with the management team in summer
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of 2022. We were able to
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get a really good read on some of the initiatives that they
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were launching. That's a management
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team that we've known for a really long time.
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We bought more, the stock is 5X
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since then. It just goes
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to show that as long as we maintain these
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relationships and continue to build them I think
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we will continue to have an edge on
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filtering through the noise in the market and betting with
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the management teams.
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I think that's really
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the secret sauce of Will's performance.
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I think it's a tradition that Matt and I have
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grown up in and will be continuing.
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That sounds like an epic trip to California that you have
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planned. Some of the names you mentioned there, it's really
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incredible that you have direct line of access to them and
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such a great advantage of Will Danoff and his
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brand but also the bigger and larger Fidelity engine.
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Matt, I wanted to talk to you a little bit about private companies.
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Nidhi, you just mentioned a couple of private companies
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you'll be meeting with in California.
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We can see that SpaceX is in the top 10.
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Matt, maybe talk us through the process around privates
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and how they've been able to add alpha to the portfolio
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as well.
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Privates can be up to 5% of the portfolio.
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The
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private investments are really
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good. They need to be a good investment in their own right
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but they're also a great source of information
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for us.
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Now because companies are staying private longer
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they're now at record high in terms of percentage
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of the market, close to 10% of the market.
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Having access to the privates is a differentiator
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versus passive investing.
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One of the things that's interesting about SpaceX is that
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we were able to invest in the company really
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early through Fidelity's private investing
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platform.
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That was when the business was still sort of a
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to-be-proven launch provider.
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We underwrote the opportunity on the
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ability for them to achieve reusable rockets alone,
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but over that time the company's evolved
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dramatically as it expanded into satellite communications
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with Starlink which is a key driver
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of cash flow. Our position in SpaceX
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has grown the best way possible really
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mostly through the success of the business so it's
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grown into a bigger position.
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Our original investment basis was under 10 billion
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valuation, I think, Nidhi.
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As the company's continued to execute
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the value has compounded and is rumoured to IPO at
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a valuation of over 1.5 trillion.
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They can't all be 150 baggers but...
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You'll do your best.
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I think what's fascinating about
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SpaceX seeing the company up close
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and getting the insight into how remarkable
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Elon is at solving problems.
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I remember Nidhi and I and Will visited
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the Falcon rocket engine in L.A.,
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one thing that really stood out was this manufacturing
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philosophy.
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Traditional aerospace companies often
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design a single very large complex engine and
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SpaceX instead was building many smaller engines
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with a standardized design and then combining
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them to generate more thrust.
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That enabled them to manufacture
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at scale faster, improve reliability
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and then iterate off those units.
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This idea that
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Elon was pursuing was a vertical integration.
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If a component in the supply chain wasn't available from a
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supplier they were literally producing parts right
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there on the assembly line, sometimes with 3D printers.
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We saw something similar when Starlink satellite
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was still in the early phases.
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We went to the manufacturing facility, we
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do these third-party expert calls and everyone
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else outside of SpaceX and all the experts were telling
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us that satellite interlinks with lasers
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to connect the satellites wouldn't be solvable because
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in low earth orbit the lens wouldn't burn up
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on reentry and you simply just can't have thousands
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of objects raining down on earth.
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With this concern in mind we
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go to the factory, the engineer's
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giving us the tour and showing us how they solve
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this unsolvable problem by inventing a new solution
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using aluminum lens instead of the
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hardened glass.
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That ability for the network to then be a mesh system
17:32.080 --> 17:35.120
where data can hop around space enabled them to win
17:35.120 --> 17:38.400
government contracts and now play a bigger role in
17:38.440 --> 17:39.960
direct to cell phones.
17:40.000 --> 17:42.720
It's these experiences in meeting with the management
17:42.720 --> 17:45.680
teams, Will always says the passive
17:45.720 --> 17:49.080
indexes aren't meeting with the management teams,
17:49.080 --> 17:52.120
they're not touring factory floors, and they're
17:52.120 --> 17:55.600
not even asking questions let alone the right questions.
17:59.280 --> 18:02.480
It's that engineering culture and pace of innovation
18:02.520 --> 18:05.680
at Starlink that has really driven their success.
18:05.720 --> 18:08.920
It's early, there's other engineering problems
18:08.960 --> 18:11.960
to be solved but we might be talking about space data
18:11.960 --> 18:12.960
centres next.
18:13.840 --> 18:16.160
Truly incredible, 150 bagger.
18:16.160 --> 18:17.160
Go ahead, Nidhi.
18:18.680 --> 18:21.640
I was just going to add, Will not only
18:21.640 --> 18:24.640
says to turn over rocks but he always says show
18:24.640 --> 18:26.920
up to a meeting, ask a good question.
18:26.920 --> 18:29.640
To Matt's point, the passive funds are not building
18:31.120 --> 18:33.520
relationships with these companies, they're not walking the
18:33.520 --> 18:35.280
factory floor.
18:35.280 --> 18:38.160
I think because we've built some of these relationships
18:38.160 --> 18:41.160
over the years, management teams really appreciate the long
18:41.160 --> 18:44.160
term strategic questions that we ask
18:44.160 --> 18:47.160
which makes them, in turn, more available to
18:47.160 --> 18:50.320
us, and I think more honest with us about the risks and
18:50.320 --> 18:53.280
opportunities which then helps us have a
18:53.280 --> 18:56.640
more informed view on the investment thesis.
18:56.640 --> 18:59.600
Netflix, for example, I covered the stock
18:59.640 --> 19:02.640
from 2012 when they just
19:02.640 --> 19:05.320
had gotten into streaming and no one really believed in
19:05.320 --> 19:08.240
them through 2020.
19:08.280 --> 19:11.240
Matt covered it after that but by that point
19:11.280 --> 19:14.240
they had over 200 million global
19:14.240 --> 19:15.240
subscribers.
19:16.640 --> 19:19.600
That journey was the one on which I was able to
19:19.600 --> 19:22.720
build a relationship with them because Fidelity sort
19:22.720 --> 19:26.040
of believed in what they were trying to achieve.
19:27.400 --> 19:30.920
I had a chance to speak at three of their executive
19:30.920 --> 19:34.080
off-sites where they had 900+ plus of their
19:34.080 --> 19:36.560
top employees present.
19:36.560 --> 19:40.080
I hosted four of their
19:40.080 --> 19:42.800
quarterly public earnings calls in 2021.
19:44.680 --> 19:47.800
This is a relationship that they
19:47.840 --> 19:50.840
really value as well so when we
19:50.840 --> 19:54.120
go out there or we're trying to figure out
19:54.120 --> 19:57.520
what their next move is they're available
19:57.520 --> 19:59.080
to us.
19:59.120 --> 20:02.160
It's sort of this two-way street.
20:02.160 --> 20:04.640
I think it's it's always been a really great
20:05.760 --> 20:09.000
partnership for Fidelity with these management
20:09.040 --> 20:13.200
teams built over many years across multiple analysts.
20:13.200 --> 20:16.400
You make a good point, Nidhi. It's not just the quantity
20:16.400 --> 20:19.280
of meetings it's the quality of meetings.
20:19.280 --> 20:22.960
I'm thinking about how simple sometimes
20:22.960 --> 20:25.920
the questions even need to be.
20:25.920 --> 20:29.000
What are you most excited about as a management
20:29.000 --> 20:32.440
team, getting that what really makes the business
20:32.440 --> 20:33.440
unique.
20:34.560 --> 20:38.480
I'm thinking about this meeting we had,
20:38.480 --> 20:41.440
just as an example of how a typical meeting
20:41.440 --> 20:42.440
might go, a
20:44.760 --> 20:48.800
little over a year ago we met with Casey General Stores,
20:48.800 --> 20:52.680
the ticker is CASY, it's a $25 billion market cap.
20:52.720 --> 20:55.640
Casey's operates gas stations in the Midwest.
20:57.840 --> 21:00.600
Your baseline going into that meeting might be how could
21:00.600 --> 21:04.440
gas stations generate durable alpha?
21:04.440 --> 21:07.480
Early in the meeting Will immediately started
21:07.480 --> 21:10.760
asking about food, their food offerings.
21:11.800 --> 21:14.040
The CEO of the company really lit up.
21:14.040 --> 21:17.080
It turns out Casey's is a top five
21:17.080 --> 21:20.400
seller of pizzas nationwide from only 3,000
21:20.400 --> 21:22.680
locations in the US.
21:22.680 --> 21:25.840
The CEO is explaining one of the secrets is to
21:25.840 --> 21:28.960
make the fresh dough on-site daily.
21:28.960 --> 21:31.960
Moreover, it got right into the heart
21:31.960 --> 21:35.360
of the economic driver of the business which is how having
21:35.360 --> 21:38.600
popular food, other consumables as
21:38.640 --> 21:41.880
well as gas, in one place helps them beat standalone
21:41.880 --> 21:45.240
pizza chains or standalone gas stations because
21:45.280 --> 21:48.360
they have more flexibility on price and they drive better
21:48.360 --> 21:49.760
foot traffic.
21:49.760 --> 21:52.920
Even differentiated models in
21:52.920 --> 21:56.040
competitive industries can profitably win share but
21:56.040 --> 21:59.040
you might not get that insight if you don't
21:59.040 --> 22:02.000
meet with the company, if you don't ask the right question
22:02.040 --> 22:03.320
and have this open mind.
22:05.080 --> 22:06.680
Matt, have you gone and tasted the pizza?
22:06.680 --> 22:07.680
Is it as good as they say it is?
22:08.760 --> 22:10.720
It's pretty good.
22:10.720 --> 22:13.680
I spent some time in New York
22:13.680 --> 22:15.440
so my pizza bar is pretty high.
22:15.440 --> 22:17.760
Pretty high, yeah, I can imagine.
22:17.760 --> 22:20.240
We've got lots of questions coming in from the audience so
22:20.240 --> 22:21.720
I'd love to get to those.
22:21.720 --> 22:24.520
Lots of questions around today's market environment.
22:24.560 --> 22:27.560
Nidhi, let's start with you and talk a little bit about key
22:27.560 --> 22:29.280
themes that are in the portfolio.
22:29.320 --> 22:31.880
Technology is one of them so let's start there and what are
22:31.880 --> 22:35.000
you seeing broadly within the tech space right
22:35.000 --> 22:36.000
now?
22:38.160 --> 22:40.960
Really, the topic of the day is AI.
22:44.000 --> 22:47.160
It's sort of a newish topic for the market but for
22:47.160 --> 22:51.200
us it's a topic that we've been focused on for
22:51.240 --> 22:53.200
well over a decade.
22:54.400 --> 22:57.840
We've been investors in Nvidia for
22:57.880 --> 22:59.440
over a decade.
22:59.440 --> 23:02.480
I remember going out to
23:02.480 --> 23:04.120
California to meet with Jensen in,
23:05.680 --> 23:08.960
I think it was 2011 or something,
23:08.960 --> 23:11.920
when he was talking about AI.
23:11.920 --> 23:15.240
Matt and I have both covered Google
23:15.240 --> 23:18.600
over the years and they've been at
23:18.600 --> 23:20.240
the forefront of AI.
23:20.240 --> 23:23.440
It was more focused on machine learning and recommender
23:23.440 --> 23:26.480
systems in the past and it's moved to large language
23:26.480 --> 23:29.560
models more recently and even more recently
23:29.560 --> 23:32.160
we're talking about agents.
23:32.160 --> 23:34.080
I think this has the potential to alter
23:36.040 --> 23:39.080
almost every industry so that's something
23:39.080 --> 23:42.240
that Matt and I are spending a lot of time on.
23:42.240 --> 23:45.320
The infrastructure buildout for AI is
23:45.320 --> 23:48.560
spanning across not just
23:48.560 --> 23:51.800
the tech value chains like semiconductors
23:51.800 --> 23:55.160
and networking and compute
23:55.160 --> 23:58.560
but it's also found its way into the industrial
23:58.560 --> 24:02.080
sector with companies that are providing power,
24:02.080 --> 24:03.680
companies that are providing labour, electrical
24:06.520 --> 24:09.520
equipment. It's really kind
24:09.520 --> 24:12.520
of found its way into other
24:12.520 --> 24:14.280
parts of the market.
24:14.320 --> 24:17.400
Now as we're looking towards the application
24:17.440 --> 24:20.680
development phase of AI
24:20.720 --> 24:23.960
we're really trying to think about what are the industries
24:23.960 --> 24:27.040
and companies that will win and
24:27.080 --> 24:30.400
lose with AI.
24:30.400 --> 24:32.240
There will be companies that will
24:34.600 --> 24:37.360
have larger addressable markets, they will have stickier
24:37.360 --> 24:39.360
products, they will have higher margins, and then
24:40.480 --> 24:43.520
there's companies that will face more competitive
24:43.520 --> 24:46.680
intensity, have lower margins because they have to
24:46.680 --> 24:49.920
pay an intelligence task tax to the
24:49.920 --> 24:51.720
large language model providers.
24:52.760 --> 24:55.720
We're in the early phases of trying to sift
24:55.720 --> 24:58.840
through all of this and figure out what
24:58.840 --> 25:02.160
are the spots that we really want to play in.
25:02.160 --> 25:05.440
Matt, we've recently seen more broadening of the market
25:05.440 --> 25:08.440
of late, can you talk us through how you're
25:08.440 --> 25:11.600
seeing things there and any other opportunities
25:11.600 --> 25:13.840
outside of the technology space that have piqued your
25:13.840 --> 25:14.840
interest.
25:16.800 --> 25:20.000
Like Nidhi said, I think a lot of the AI
25:20.000 --> 25:23.080
focus and returns has been on infrastructure and the
25:23.080 --> 25:26.680
bottlenecks around standing up this seemingly insatiable
25:26.720 --> 25:28.080
demand for compute.
25:29.120 --> 25:32.200
That CapEx has reached 2.5% of US GDP.
25:34.280 --> 25:37.400
You see a lot of action in semiconductors, memory in that
25:37.400 --> 25:40.240
supply chain. Well, why is this happening?
25:40.240 --> 25:43.440
Compute is becoming intelligence and
25:43.480 --> 25:47.160
with agents compute can use tools or complete tasks.
25:47.160 --> 25:50.120
I think, just like Nidhi, I think where the puck is going
25:50.160 --> 25:53.440
is where can the application of
25:53.480 --> 25:56.440
the intelligence for business processes, where can
25:56.480 --> 25:58.600
that improve customer value proposition?
25:58.600 --> 26:00.560
This is a big theme.
26:00.560 --> 26:03.560
We've seen this in surprising places like transport
26:03.560 --> 26:05.600
logistics and insurance underwriting.
26:05.600 --> 26:08.760
We're asking every management team how they're
26:08.760 --> 26:11.760
going to transform their business and trying
26:11.760 --> 26:15.120
to discern where it can't be competed away,
26:15.120 --> 26:16.120
those advantages.
26:17.280 --> 26:19.640
The most important driver is always going to be earnings
26:19.640 --> 26:20.640
growth.
26:20.640 --> 26:22.600
I think independent of AI
26:23.880 --> 26:26.840
aerospace aftermarket is a theme we
26:26.840 --> 26:29.440
have exposure to, small-cap defence with
26:31.560 --> 26:35.040
defence budgets going up but also
26:35.040 --> 26:38.080
how the role of technology and warfare
26:38.080 --> 26:39.520
is evolving.
26:39.520 --> 26:42.280
There's some really interesting startups there.
26:43.360 --> 26:46.720
Electrician labour contractors are
26:46.720 --> 26:49.960
in very high demand because of more power
26:49.960 --> 26:51.200
infrastructure that's needed.
26:52.960 --> 26:56.120
We meet with companies that do automation for warehouses to
26:56.120 --> 26:57.880
support e-commerce,
26:59.360 --> 27:02.640
spectrum capacity for space-based broadband
27:02.640 --> 27:05.760
has been a trend.
27:05.800 --> 27:08.760
There are demand trends out there and we own
27:08.760 --> 27:10.280
many of them.
27:10.280 --> 27:13.400
I think one of the key ones, though, is going to be
27:13.400 --> 27:16.480
how this intelligence layer gets implemented
27:16.520 --> 27:19.560
and where's the enduring
27:19.560 --> 27:22.760
differentiation there through customer value
27:22.760 --> 27:24.120
improvements.
27:24.400 --> 27:26.800
Okay, well, in the interest of time we will leave it there
27:26.800 --> 27:30.000
but it's been wonderful speaking with both of you today and
27:30.000 --> 27:33.080
hearing the stories of your journey so far
27:33.080 --> 27:36.200
at Fidelity, all the incredible lessons that
27:36.200 --> 27:39.640
you've learned over the years from Will Danoff, and
27:39.640 --> 27:42.800
that you continue to have great access to company
27:42.800 --> 27:45.880
CEOs. Will has taught you such incredible
27:45.880 --> 27:48.920
work ethic. We hope to see you in Canada in the
27:48.920 --> 27:51.840
near future but thank you so much for the conversation
27:51.840 --> 27:52.840
today.
27:53.720 --> 27:55.400
Thank you, everyone.
27:56.560 --> 28:00.480
<b>Thanks for watching or listening to the Fidelity Connects</b>
28:00.480 --> 28:04.640
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28:33.440 --> 28:37.240
<b>The views and opinions expressed on this podcast are those of the participants,</b>
28:37.280 --> 28:41.200
<b>and do not necessarily reflect those of Fidelity Investments Canada ULC or</b>
28:41.200 --> 28:45.200
<b>its affiliates. This podcast is for informational purposes only, and should not</b>
28:45.200 --> 28:47.760
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29:02.760 --> 29:05.200
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29:07.360 --> 29:09.040
<b>Thanks again. We'll see you next time.</b>

