A closed-end real estate fund is an investment vehicle with a finite life (call it anywhere from 5 to 12 years, plus extension options). These types of funds have a specific timeframe for raising capital, investing, harvesting the investments they have made, and then distributing proceeds to investors. This is in contrast to an open-ended fund, also known as an "evergreen" fund, which has an infinite life and can accept investments throughout its lifespan.
As a result of these differences, closed-end funds are often used for opportunistic or value-add opportunities where the defined strategy is to buy, fix/develop, and then sell, whereas open-ended funds are often used for core opportunities, where the assets are intended to be held indefinitely for income. Neither fund structure is inherently good or bad; each has its benefits and drawbacks.
However, the perceived weighting of these benefits and drawbacks shifts during market cycles. Since global real estate markets started to turn downward in 2022, the ability to be patient and think long-term has become a key ingredient for survival. You may have done everything you said you would do perfectly, but the market may not be there to grant you the liquidity you had originally planned for.
Now the question becomes: How patient can and should we be?
In my opinion, the greatest opportunities exist for (1) the larger firms that have a strong balance sheet and defensible income-producing properties and (2) the smaller, nimble firms that can capitalize on the dislocation in the market (and aren't overly burdened with legacy assets that are sucking up resources and capacity).
This perspective is true of other sectors as well. This weekend, venture capitalist Chris Dixon of a16z wrote a post titled, "The long game for crypto." In it, he alludes to the current market downturn (ETH is down nearly 60% from its all-time high) and says that "we play the long game at a16z and a16z crypto: Our funds are structured with 10+ year horizons because building new industries takes time."
The fact that he wrote this post says a lot, I think, about the psyche of investors today. The perceived weighting has changed, and people are now investing and building more for the future. As the late Charlie Munger once said, "The big money is not in the buying and the selling, but in the waiting."
Cover photo by KAi'S PHOTOGRAPHY on Unsplash
Bond — which is a San Francisco-based VC firm with a cool website — just published this 340-page report on Artificial Intelligence. One of the authors of the report is Mary Meeker. She has been called the "Queen of the Internet" thanks to a 20-year run of presentations about the state of the internet, and her perceived ability to identity new trends early. So people are paying attention to this report. Her last one was in 2019 and I mentioned her 2018 report on this blog, here.
At this point, it's boring to say that AI is ushering in "unprecedented" global change. Everyone sends around snippets from ChatGPT. I incorporate some sort of AI-powered tool all the time in my daily workflow. And we've started using it on our development projects to help with tedious things like design coordination. Eventually we'll probably stop calling it out as "AI" and just refer to it as the things that computers and the internet can do.
I watched the BlackBerry movie the other week and right away I thought, "whoa, is Jim Balsillie really like that?" Supposedly, kind of. Either way, it was a good movie that naturally ended with the fall of BlackBerry, with Balsillie not getting an NHL team, and with Mike Lazaridis dismissing the first iPhone as a toy. "Who wants to use a phone without a keyboard?"
We all know these stories. In fact, they feel trite in retrospect. There's Blockbuster, Kodak, and countless others. But these moments are clearly a lot harder to identify in the moment. And today, at least for me, it feels like this moment for crypto and blockchains.
It's easy to dismiss this space. Among other things, a blockchain is an objectively worse database. They're slower than today's alternatives. They require more computing power. There's no customer service when something goes wrong. And, it generally costs a lot more to save new information to a blockchain (this cost is called a gas fee).
At the peak of the market in 2021, the average quarterly gas fee (cost per transaction) on the Ethereum network reached about US$37. Given this, nobody wanted to use this database to buy a $2 coffee. (However, many people were, at least at the time, willing to use it to buy expensive NFTs.)
But as Tomasz Tunguz outlines in this great post called "Gas Gas Revolution", the cost of saving data to a blockchain has dropped dramatically over the last few years. And all signs indicate that this trend is only going to continue. So what happens when it becomes cheap/basically free to save to these worse databases?
Well, if you believe that "decentralized" and open databases are going to unlock powerful new innovations, the correct answer is probably: a lot. And then all of a sudden, they'll be better databases.
A closed-end real estate fund is an investment vehicle with a finite life (call it anywhere from 5 to 12 years, plus extension options). These types of funds have a specific timeframe for raising capital, investing, harvesting the investments they have made, and then distributing proceeds to investors. This is in contrast to an open-ended fund, also known as an "evergreen" fund, which has an infinite life and can accept investments throughout its lifespan.
As a result of these differences, closed-end funds are often used for opportunistic or value-add opportunities where the defined strategy is to buy, fix/develop, and then sell, whereas open-ended funds are often used for core opportunities, where the assets are intended to be held indefinitely for income. Neither fund structure is inherently good or bad; each has its benefits and drawbacks.
However, the perceived weighting of these benefits and drawbacks shifts during market cycles. Since global real estate markets started to turn downward in 2022, the ability to be patient and think long-term has become a key ingredient for survival. You may have done everything you said you would do perfectly, but the market may not be there to grant you the liquidity you had originally planned for.
Now the question becomes: How patient can and should we be?
In my opinion, the greatest opportunities exist for (1) the larger firms that have a strong balance sheet and defensible income-producing properties and (2) the smaller, nimble firms that can capitalize on the dislocation in the market (and aren't overly burdened with legacy assets that are sucking up resources and capacity).
This perspective is true of other sectors as well. This weekend, venture capitalist Chris Dixon of a16z wrote a post titled, "The long game for crypto." In it, he alludes to the current market downturn (ETH is down nearly 60% from its all-time high) and says that "we play the long game at a16z and a16z crypto: Our funds are structured with 10+ year horizons because building new industries takes time."
The fact that he wrote this post says a lot, I think, about the psyche of investors today. The perceived weighting has changed, and people are now investing and building more for the future. As the late Charlie Munger once said, "The big money is not in the buying and the selling, but in the waiting."
Cover photo by KAi'S PHOTOGRAPHY on Unsplash
Bond — which is a San Francisco-based VC firm with a cool website — just published this 340-page report on Artificial Intelligence. One of the authors of the report is Mary Meeker. She has been called the "Queen of the Internet" thanks to a 20-year run of presentations about the state of the internet, and her perceived ability to identity new trends early. So people are paying attention to this report. Her last one was in 2019 and I mentioned her 2018 report on this blog, here.
At this point, it's boring to say that AI is ushering in "unprecedented" global change. Everyone sends around snippets from ChatGPT. I incorporate some sort of AI-powered tool all the time in my daily workflow. And we've started using it on our development projects to help with tedious things like design coordination. Eventually we'll probably stop calling it out as "AI" and just refer to it as the things that computers and the internet can do.
I watched the BlackBerry movie the other week and right away I thought, "whoa, is Jim Balsillie really like that?" Supposedly, kind of. Either way, it was a good movie that naturally ended with the fall of BlackBerry, with Balsillie not getting an NHL team, and with Mike Lazaridis dismissing the first iPhone as a toy. "Who wants to use a phone without a keyboard?"
We all know these stories. In fact, they feel trite in retrospect. There's Blockbuster, Kodak, and countless others. But these moments are clearly a lot harder to identify in the moment. And today, at least for me, it feels like this moment for crypto and blockchains.
It's easy to dismiss this space. Among other things, a blockchain is an objectively worse database. They're slower than today's alternatives. They require more computing power. There's no customer service when something goes wrong. And, it generally costs a lot more to save new information to a blockchain (this cost is called a gas fee).
At the peak of the market in 2021, the average quarterly gas fee (cost per transaction) on the Ethereum network reached about US$37. Given this, nobody wanted to use this database to buy a $2 coffee. (However, many people were, at least at the time, willing to use it to buy expensive NFTs.)
But as Tomasz Tunguz outlines in this great post called "Gas Gas Revolution", the cost of saving data to a blockchain has dropped dramatically over the last few years. And all signs indicate that this trend is only going to continue. So what happens when it becomes cheap/basically free to save to these worse databases?
Well, if you believe that "decentralized" and open databases are going to unlock powerful new innovations, the correct answer is probably: a lot. And then all of a sudden, they'll be better databases.
But I think it's valuable to point out that this has been a really long time coming. The report talks about an "AI winter" from 1967 to 1996. That's a long time to stay motivated and interested in something that doesn't seem to be gaining traction. And it's a reminder that crypto is still early. Even though I also use blockchains every day and I've already transitioned (or am transitioning) a lot of my online life, including this blog.
Of particular relevance to this community is probably the fact that AI is also going to have a meaningful impact on our built environment. One of the sections in the report is called "Physical World AI," and it talks about how quickly data centers are now being built (compared to housing) and how Waymo (using AI) has taken something like 27% of the ride share market in San Francisco in the span of just 20 months.
This transportation product is now scaling, and cities have always responded and remade themselves according to new mobility innovations. This time won't be any different.
Cover photo by Annie Spratt on Unsplash
But I think it's valuable to point out that this has been a really long time coming. The report talks about an "AI winter" from 1967 to 1996. That's a long time to stay motivated and interested in something that doesn't seem to be gaining traction. And it's a reminder that crypto is still early. Even though I also use blockchains every day and I've already transitioned (or am transitioning) a lot of my online life, including this blog.
Of particular relevance to this community is probably the fact that AI is also going to have a meaningful impact on our built environment. One of the sections in the report is called "Physical World AI," and it talks about how quickly data centers are now being built (compared to housing) and how Waymo (using AI) has taken something like 27% of the ride share market in San Francisco in the span of just 20 months.
This transportation product is now scaling, and cities have always responded and remade themselves according to new mobility innovations. This time won't be any different.
Cover photo by Annie Spratt on Unsplash
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