Thesis Driven

Thesis Driven

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Thesis Driven
Thesis Driven
How AI and the Energy Transition are Redefining Real Estate Value
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How AI and the Energy Transition are Redefining Real Estate Value

Understanding how the energy problems posed by AI could reshape the built world

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Jenny Song
Sep 12, 2024
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Thesis Driven
Thesis Driven
How AI and the Energy Transition are Redefining Real Estate Value
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Today’s Thesis Driven is a guest letter from Jenny Song, Partner at Navitas Capital, an early stage venture firm that has been focused on the impact of AI and the energy transition on the built world for over 15 years.

This image was generated by DALL-E. Generating it (4 tries) took as much energy as one full charge of your smartphone.

Every major technology revolution has redefined real estate value. From the Agricultural Revolution to the Information Age, technology developments have changed our relationship with land and buildings. Our view is that the Artificial Intelligence Era will do the same: real estate in the age of AI will be increasingly defined by energy and its availability.

Of course, AI will be applied to real estate operations directly. At Navitas, we spend a lot of our time examining technology’s direct use cases for the industry – for example investing in companies like EliseAI, a conversational AI applied to the housing sector.

But we are also closely watching the indirect, second-order effects. Airbnb’s initial impact, for example, was making room-sharing between private individuals easier. Since then, it reshaped multiple real estate asset classes from traditional hospitality to multifamily to single family home building.

In the AI Era, real estate may be increasingly defined by its relationship with energy production and transmission. Considering the energy intensity of AI data centers–as much as 50 times as intensive as a similarly-sized office building–and constraints on our ability to produce or transmit energy fast enough to keep pace, we see a world in which energy is increasingly constrained -- making its availability a more important and deterministic factor in all real estate development.

In today’s Thesis Driven, we’ll explain why this is the case and what it means, covering:

  • A framework for how to think about predicting real estate value at a macro level

  • The energy problem posed by AI and the rapid build of new data centers

  • How AI is converging with other mega-trends that are creating immense energy challenges 

  • Why what we are doing today is not working to solve the problem fast enough

  • What this all has to do with real estate value and what it means for real estate developers, owners, investors and others

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A guest post by
Jenny Song
Jenny Song is a partner with Navitas Capital, an early stage venture firm focused on technology and innovation for the built environment.
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