Cool Vector – Détails, épisodes et analyse

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Cool Vector

david95a

Business & Entrepreneuriat

Technologie

Fréquence : 1 épisode/14j. Total Éps: 18

Financial journalist David Snow is the host of Cool Vector, a new video-podcast from Elatromme about the rise of data centers and the digital infrastructure asset class. On a regular basis, Cool Vector convenes expert conversations about the role institutional investment capital will play in the build-out of digital infrastructure around the world, and focuses on the overlapping long-term trends of digitalization, the rise of private capital, surging energy demand, changing land and real estate use, innovations in sustainability, technology competition among nations, and many other topics. Full video episodes of Cool Vector will live on the Cool Vector YouTube channel as well as major podcasting platforms like Spotify. Clips of each episode will be promoted on LinkedIn, Instagram, and TikTok. The Cool Vector video-podcast homepage is here: https://coolvectormedia.com/ Socials: LinkedIn linkedin.com/company/cool-vector-media/posts/?feedView=all Instagram instagram.com/coolvectormedia TikTok tiktok.com/@coolvectormedia?is_from_webapp=1&sender_device=pc Spotify podcasters.spotify.com/pod/show/elatromme Website coolvectormedia.com

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🇫🇷 France - investing
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https://coolvectormedia.com/
18 partages
https://nomadfuturist.org/
5 partages
https://coolvectormedia.com
4 partages

https://www.youtube.com/@CoolVector
3 partages
https://youtu.be/o3m9WcoetVM
2 partages
https://www.youtube.com/redirect?event=channel_description&amp
1 partage

https://www.linkedin.com/company/cool-vector-media
2 partages
https://www.linkedin.com/company/cool-vector-media/posts/?feedView=all
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https://www.linkedin.com/company/cool-vector-media%E2%81%A0
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GI Partners, in Digital Infrastructure Since 2001, Has Advice for Newcomers

Épisode 20

lundi 14 avril 2025 • Durée 25:26

The private equity firm that created ⁠Digital Realty ⁠sees a "wealth of opportunities" in digital infrastructure, but avoids hyperscaler mega-projects, says Mark Prybutok, a Managing Director at ⁠GI Partners⁠ and Head of the Data Infrastructure strategy.

In 2001, GI Partners made its very first investment as a firm in a portfolio of distressed data centers reeling from the dotcom crash. In 2004, that portfolio was listed publicy as Digital Realty, now the world's largest data-center REIT.

Today, GI Partners has $45 billion in assets under management, and oversees three strategies: private equity, real estate and digital infrastructure. In a wide-ranging interview with Cool Vector, Prybutok shares his excitement about investing in a rapidly expanding market, but offers guidance to investors about nuanced differences between business models, locations and commercial strategies.

Prybutok also describes GI Partners' strategy in digital infrastructure as being more akin to private equity, with a focus on operating businesses, management teams and value-add strategies.

Among the key takeaways from the interview:

Digital infrastructure deserves a substantial allocation in the portfolio. As digital giants drive global economic growth, Prybutok argues digital infrastructure should potentially command a larger allocation in institutional portfolios than the modest levels seen today: “If you think about infrastructure as the physical underpinnings of the economy… why shouldn’t it be significantly higher than 20%, 25%?”

Success in digital infrastructure requires sector nuance. With growing competition from generalist investors, GI Partners differentiates itself through deep sectoral focus and an ability to identify winners in niche sub-markets: “We’re identifying businesses that we in particular think are going to be the winners within a sub-sector of a sub-sector.”

Edge infrastructure is a bigger opportunity than centralized mega-infrastructure. While hyperscaler campuses get headlines, GI sees greater long-term opportunity in edge infrastructure tailored to mid-sized businesses and real-world IT needs: “There’s a massive opportunity, multiples larger in aggregate, than these massive concentrated AI training data centers, but located closer to those end use points.”

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