Brandon Donnelly

Daily insights for city builders, delivered every morning at 6 AM ET. I’m Brandon Donnelly — a Toronto-based real estate developer and founder of Globizen. I’ve been writing here since 2013.

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Tag: ai

  • Louis Vuitton’s Big Duck

    When I first saw this picture of Louis Vuitton’s flagship store in Manhattan I thought it was AI. That is where we are right now. When something looks wild, I just automatically assume it’s fake. But alas, it’s not fake. Louis Vuitton is renovating their flagship store at the corner of 57th Street and 5th Avenue and so, naturally, they decided to completely cover it with luggage facade wraps.

    These wraps make the entire building look like six grey trunks stacked on top of each other and are a nod to a 19th century luggage design from the company. They even used real metal details throughout. Apparently the heaviest luggage handle weighs something like 5,000 pounds.

    This is wild and remarkable in so many ways. The scale of it is remarkable. This is a 15 storey building concealed entirely by luggage trunks. It also speaks to the scale and dominance of New York as a city. Not every city can absorb a pile of giant luggage trunks and not bat an eye. But in New York, it’s just another noteworthy thing within its relentless urban grid.

    I also can’t help but think of the work of architects Robert Venturi and Denise Scott Brown. In 1972, they published a book called Learning from Las Vegas. And in it, they defined two types of contrasting buildings: decorated sheds and ducks. Decorated sheds are, as the name suggests, nondescript buildings. Think big box stores. These buildings get their specificity from signage and other ornament because, without this, they’d just be nondescript sheds.

    Duck buildings are, on the other hand, buildings that take on a symbolic form. In other words, their shape and construction tell you what they’re all about. The term duck comes from an actual building that looks like a duck, namely The Big Duck on Long Island. This is a building that was built in the 1930s to help promote the owner’s duck farming business and is now on the US National Register of Historic Places.

    The Big Duck is and was an actual building, whereas Louis Vuitton’s trunks are just temporary construction wrap. So they’re not exactly the same thing. Still, the similarities are there. Both were erected to promote their respectiveness businesses. And both tell you, through their form, what’s meant to happen inside. So in this sense, Louis Vuitton has just created its own Big Duck.

    Photo by Brad Dickson via Dezeen

  • Audio is the poor person’s augmented reality

    I have long been interested in the work of entrepreneur Dennis Crowley. He is perhaps best known as the co-founder of Foursquare, which popularized location “check-ins.” But he’s created a bunch of other stuff too. The common theme is that his products exist at the intersection of tech and cities (the physical world), which is probably why I’ve been so interested over the years.

    Check-ins, for example, allowed you to say to all your friends, “hey everyone, I’m at this bar.” It was a way of checking if anyone you knew was there too, or close by, and also a way of inviting your friends to come join you if they were so inclined.

    This was extremely popular for a period of time, but then kind of fizzled out, and Foursquare was forced to pivot and try a bunch of other things. And in the end, this “problem” of augmenting the physical world with our social graph (and other information) never really got solved. I mean, this is broadly the promise of augmented reality.

    Thankfully, Dennis has a new company (Hopscotch Labs) and a new tech/city product called Beebop (which is currently in private beta). Here’s how it works (excerpt from this Crazy Stupid Tech interview):

    It’s an iPhone app. There’s not much to do in the app, there aren’t a lot of buttons to press. Once it’s installed and you set the permissions, every time you put on your headphones — your AirPods or any other headphones, it doesn’t matter—it chimes and says, “Beebop’s been activated.” (Beebop is the first project from the company, Hopscotch Labs.)

    Then as you walk around the city, it will tell you things about certain places. Eventually, if I walk by a place where my friend was, it tells me that Alex was here two days ago. If I walk by a place and someone’s inside, it tells me that Max is inside that place. A lot of it is still under development. Eventually, people leave a comment at a place. Imagine Twitter. It is as if you leave a tweet and you stick it in the ground. When you walk over it, you hear it.

    So like before, it’s about experiencing cities:

    It’s been a long time since I built something. What’s different now? AI is what’s different. You know what’s different? Everyone’s on their phones all the time. Back in my day, we made stuff for the streets. You would use your phone, you’d put it away, and stuff would happen. Where are the people making that stuff anymore? All we make is stuff that makes you look at the screen. Let’s make stuff that gets you out in the world, where you’re not glued to the devices. You’re out there doing stuff. Big companies out there aren’t going to make stuff like this.

    The key idea here is that augmented reality doesn’t have to just be visual. Visual also requires somebody to figure out a cool set of glasses that people will actually wear out in public. Who knows when this happens, though I do think it will eventually.

    So what Dennis is doing is making something that works today — with audio. This has been called the poor person’s augmented reality, but I think that’s selling it short. This is really clever. And once again, it’s fundamentally connected to how people live in and interact with our cities.

  • I finally tried Apple Vision Pro

    I know I’m late to the party on this, but I finally tried Apple Vision Pro this weekend. I was in the Apple Store at the Toronto Eaton Center getting the battery replaced in my phone, so I decided to do a demo. And let me tell you — I was totally blown away. I messaged everyone I knew (after I got my phone back) and told them that they need to try it.

    To be clear, though, very few people right now want to actually buy this computing device. Initially, Apple was thinking that it would sell upwards of 800,000 units this year. But now it expects to sell somewhere closer to 400,000. Maybe. The device is too expensive, too bulky, and the use cases just aren’t there for someone to feel they need to buy it.

    I also found that, when I was looking at the world around me, I could tell I was looking at a video. It wasn’t exactly perfect. (Vision Pro creates a mixed-reality experience by recording the world around you and then playing it back to you.) But that’s okay. The hardware will get better. The price will come down. And the developer community will build a bunch of killer apps that nobody has even thought of yet.

    None of this changes the fact that the device is still an astonishing technical achievement. The eye tracking works perfectly. All of my hand gestures were flawlessly picked up. And the overall experience was entirely immersive — from 3D videos (recorded on regular iPhones) to a butterfly landing on my hand and a velociraptor flaring its nostrils right in front of me.

    What was most impactful to me is that I could easily imagine a future where all of this works. Is this a more exciting way to watch sports? Yes. I sat courtside and Lebron dunked in my face. Is this a better way to watch movies on a plane? By far. Will this be used to help build buildings and coordinate design & engineering disciplines? Yes, absolutely, among many other things.

    It is also easy to imagine how spatial computing is likely to dovetail with other innovations such as AI and blockchains. Mixed-reality or extended reality blurs the line between physical and digital. And in my mind, AI becomes the way in which we will want to interact with this new computing world. (It’s not easy to type on a virtual keyboard.)

    At the same time, digital artifacts will come to be viewed much differently when they’re all blended in. An NFT sitting in a cold wallet is going to feel a lot different than an NFT hanging in a fully immersive 3D gallery that is viewed by millions of people. This strengthens the case for blockchains, and the ownership of digital objects, products, and services.

    Maybe this is really far into the future. I don’t know. But regardless, if you haven’t already, I would encourage you to book a demo at your local Apple Store. However cool and great you think it will be, it will be better. I’m not suggesting you should buy one, but I am suggesting that you need to try it out and see a glimpse into the future.

    And if any of you are working on Apple Vision Pro software that is somehow connected to the design and construction industry, I would love to hear from you and learn more about what you’re up to. I have complete conviction that this will form the future of our industry. The best place to reach out is here.

  • What might happen in 2024

    Yesterday we looked in the rear-view mirror. Today we’re looking forward:

    • The market consensus right now is that this cycle of interest rate increases has come to an end, and that we should see rates start to come down next year. Having confidence that rates won’t go any higher in the near future is what markets need in order to start making more decisions. So this is, of course, positive. At the same time, I don’t think anyone should expect a return to ultra-low rates. Rates today are still low when viewed historically.
    • Lower rates are good for levered assets such as real estate, but I don’t think that our industry has fully felt and processed the impacts of higher rates. Unfortunately, I think that things will get worse (in 2024) before they get better (maybe toward the end of 2024 or perhaps in 2025). This is when a “risk-on” approach will return in commercial real estate. A year ago today, I thought 2023 would be the year for this, but as I said yesterday, I was overly optimistic in terms of my timing.
    • On the residential resale side, I think we will see greater optimism sooner, certainly for the most in-demand cities and areas. There is pent up demand waiting on the sidelines and, once we can get past the current bid-ask spreads and deadlock, I believe we’ll return to a more balanced market in 2024. To be clear, I’m not expecting bidding wars and the like. And because of our housing affordability crisis, I also think the Bank of Canada will be more resistant to lowering rates compared to other central banks. This will help the Canadian dollar.
    • If you’re a buyer of real estate, I generally believe that 2024 will turn out to be a pivotal year for you. Roughly speaking, you win acquisitions in one of two ways: either (1) you pay the most or (2) you believe in something that most other people in the market don’t. This second approach is harder to achieve in bull markets. But in slower markets, the door is open and history has taught us that it can be the foundation in which great fortunes are made.
    • As I mentioned yesterday, I agree with the prognostications that hard costs will soften further next year (perhaps even more than 5% on average). Obviously every market is different. But here in Toronto, I just don’t see us returning to the level of construction starts that we have seen over the last number of years.
    • Since 2021, I have used my hyper scientific Jimmy the Greek Reopening Index to keep tabs on office utilization and the overall return to office. And based on this, 2023 was a positive year. Initially, souvlaki consumption appeared dramatically lower on days like Monday. But I noticed discernible increases as the year went on. However, if you look at actual data, such as what we have from swipe cards, the great return to office seems to have stalled out at around 50%. I don’t think this will hold, though. I continue to believe that of the people who work in offices, most will spend > 50% of each week there. And we will see that in 2024.
    • 2023 was the year of AI. But Fred Wilson makes an excellent point, here. AI is 40+ years in the making. Last year only became the year of AI because a consumer-facing app — ChatGPT — was revealed that captured everyone’s attention. Crypto will eventually have this moment, but it will likely need to marinate a bit longer. Instead, I think 2024 will be the year of augmented reality (AR) and a further blurring of our offline and online worlds. Think digital art, fashion, and other collectibles (such as NFTs).
    • Right now, autonomous vehicles feel like they’re in the trough of disillusionment (within the hype cycle). There were moments last year where it felt like we were finally moving beyond this phase. But then some very suboptimal things happened. I think AVs are our reality in the next 5+ years, which means that for next year we likely want to be focused on the inputs: vision/LIDAR, battery tech, etc.
    • Zooming out, we should be thinking about the above two trends in the context of a broader shift toward greater automation. I think it will feel more insidious than immediate (certainly in 2024), but the longer-term impacts are going to be profound for our society. The so-called gig economy is likely to be impacted first. Eventually the overall economy will create new jobs, but we are still going to need to manage this transition toward more automation.
    • TikTok Shop is where to look for the future of shopping. I think the platform will continue to see strong adoption and ultimately prove to be a dominant e-commerce platform throughout 2024. Amazon, Meta, and others will see this, and try their best to catch up and copy it.
    • At the time of writing this post, the total crypto market capitalization is about $1.74 trillion. This is down from nearly $3 trillion at the peak of the market in 2021. The recent gains suggest that the so-called “crypto winter” might be over, and so combined with lower interest rates and more real-world use cases, I think that 2024 will be another strong year for crypto. Total crypto market cap at the end of the year will exceed its 2021 peak.

    And there you have it. My current thoughts for this upcoming year. I should note that I’m not an economist, analyst, or an expert on souvlaki demand for that matter. But I enjoy writing this post as an annual discipline. It forces me to think critically about the topics that interest me. And in the paraphrased words of Howard Lindzon, it gives me an archive that I can go back to and either cringe at or think to myself, “hey, I could have been a somebody!”

    And with that, a big thanks to everyone who has read this daily blog over the last year. This year marked its 10th anniversary. I wish you much success and happiness in 2024. Happy new year!

  • Scarcity in a world of AI

    As someone who collects NFT art, I now see a lot of AI-generated images. Usually I can tell when an image was generated by a computer, but sometimes it’s hard to tell and I’m sure eventually I won’t be able to tell. But if I’m being honest, today I find that I have a bias toward art that was created without any AI prompts. Maybe that changes in the future, or maybe it doesn’t.

    Either way, the marginal cost of producing new content, such as images and videos, has now gone down to zero as a result of AI tools. (Here are some of my crappy creations.) That means that, if you aren’t already, you’re soon going to be faced with a deluge of things created in this way. This will almost certainly become the dominant form of content that we consume.

    I don’t think that we need to be scared by this future, but I do agree with Ben Thompson and others that it’s going to make authenticity and human-content more valuable. In other words, we’re probably going to need to know what is digitally scarce and what is just another thing generated by AI. Thankfully we have a suitable technology for this: it’s called a blockchain.

  • How disruptive is AI really going to be?

    AI is going to be very disruptive, right? At this point, I think it is pretty clear to most that the answer is yes, almost regardless of what industry you’re in. But is it going to be really disruptive? Like disruptive in the Clayton Christensen sense of the word. (Christensen is known for coining the term “disruptive innovation“, which he contrasted against “sustaining innovation.”)

    This is a good question, and I like how Ben Thompson thought about it in his newsletter this morning:

    I tend to believe that disruptive innovations are actually quite rare, but when they come, they are basically impossible for the incumbent company to respond to: their business models, shareholders, and most important customers make it impossible for management to respond. If that is true, though, then an incumbent responding is in fact evidence that an innovation is actually not disruptive, but sustaining.

    The point he is making is that given that the big tech companies (and of course everyone else) are all now responding to AI by incorporating it into their businesses, it, by definition, must not be a disruptive innovation. It’s a sustaining one. This doesn’t mean that AI won’t have significant impacts on our economy; it just means that maybe it won’t put a company like Alphabet out of business.

    I thought this was an interesting way of looking at things because it is a reminder that “disruptive innovations” often start out at the bottom of the market. They start in a way that can feel innocuous to incumbents; that is, until they move upmarket. But this is not at all how AI feels. As soon as you play around with ChatGPT you immediately think to yourself, “holy shit, this thing can do my job.”

    That is obviously something very meaningful. But is it going to shake up the big tech world order? I don’t know, if you follow Christensen’s definition, crypto sounds like the more disruptive innovation.

  • A template for opposing new housing

    Okay, I really don’t want to make this — using ChatGPT to write my blog posts for me — a habit. But I was genuinely curious what would happen if I asked it to: “write a stereotypical NIMBY letter opposing a new housing development.” Here’s what it generated.

    Dear Sir/Madam,

    I am writing to express my strong opposition to the proposed housing development in our neighborhood. While I understand the need for affordable housing in our city, I believe that this project would have a detrimental impact on our community.

    First and foremost, the proposed development is simply too large for our area. The increase in population density would put a strain on our already overburdened infrastructure, leading to increased traffic congestion, noise pollution, and strain on our public services. Additionally, the construction of this project would result in significant environmental damage, destroying natural habitats and putting wildlife at risk.

    Furthermore, the type of housing being proposed is simply not in keeping with the character of our neighborhood. This development would bring in a large number of low-income residents, which could lead to increased crime rates and other negative social effects. It would also drastically alter the aesthetic of our area, replacing the existing greenery and open spaces with a monolithic, high-density housing complex.

    Finally, I am deeply concerned about the impact this development would have on property values in the surrounding area. The influx of low-income residents could result in a decline in property values, making it difficult for current residents to sell their homes and move elsewhere.

    In conclusion, I strongly urge you to reconsider this proposed housing development. While I recognize the need for affordable housing, I believe that this project is simply not the right fit for our neighborhood. Thank you for your attention to this matter.

    Sincerely, [Your Name]

    I must say that I’m impressed. It is a solid 5-paragraph letter that follows a tried and true formula. First, the entire letter is sandwiched between thinly veiled statements around the importance of housing. Both the introduction and conclusion speak to “the need for affordable housing.”

    And then in the middle of the letter, it hits on the holy trinity of opposition arguments: (1) overburdened/inadequate infrastructure, (2) neighborhood character, and (3) property values. I’m not sure there’s much to improve on here. These computers are good.

    So if you happen to need one of these, you may want to try ChatGPT.

  • Why construction productivity lags other sectors of the economy

    Construction is an essential sector of the economy, responsible for building and maintaining the physical infrastructure that underpins our society. However, it’s no secret that construction productivity lags behind other sectors of the economy, such as manufacturing and information technology. So why is this the case?

    One of the main reasons for the productivity gap is the unique nature of the construction industry. Unlike other sectors, construction projects are often one-off, bespoke endeavors, making it challenging to achieve the economies of scale that are typical of manufacturing or technology. Each project requires a different set of skills, tools, and materials, which can be costly and time-consuming to source and manage. This leads to a lack of standardization and efficiency, which can hinder productivity.

    Another factor that contributes to low productivity in construction is the reliance on manual labor. Despite the increasing use of technology and automation, much of the work in construction still relies on physical labor, which is subject to human limitations and the potential for errors. This can result in delays, rework, and additional costs, all of which impact productivity.

    Moreover, the construction industry faces challenges in terms of supply chain management and workforce development. The industry relies heavily on a complex network of suppliers, subcontractors, and laborers, all of whom must be coordinated and managed effectively. This can be difficult, particularly in light of the current labor shortage and skills gap in the industry.

    To address these challenges, the construction industry needs to embrace innovation and new technologies to improve efficiency, standardize processes, and reduce waste. There is also a need to invest in workforce development and training to upskill the existing workforce and attract new talent to the industry.

    In conclusion, the construction industry faces unique challenges that make it challenging to achieve the productivity gains that are typical of other sectors. However, with the right investments in technology, training, and process improvement, the industry can overcome these challenges and continue to build the infrastructure that our society relies on.

    Maybe you didn’t notice. But if the above doesn’t sound like me and my writing, it’s because today’s blog post is brought to you by ChatGPT (AI). The prompt I used was, “write a short blog post about why construction productivity lags other sectors of the economy.”

    On some level, it’s unsettling that AI can now, almost instantaneously, spit out a blog post like this. It would now be pretty easy to set up a daily blog, like this one here, and use ChatGPT to populate it each day.

    But of course, while that might be interesting initially, it would quickly become a banal baseline. Anyone and everyone could copy what you’re doing. AI is going to change a lot. But our jobs remain the same: find new ways to create value and be remarkable.

  • Using AI to estimate crowd sizes

    This recent NY Times article about crowd estimates for Hong Kong’s annual pro-democracy protest is a good follow-up to my post about the number of people who, allegedly, showed up to last month’s NBA Championship parade here in Toronto.

    For years, Hong Kong has been seeing divergent estimates for its annual protest. Organizers typically overstate. And the police typically understate. This year, organizers claimed 550,000 people in attendance, whereas the police claimed only 190,000.

    The difference this year is that a local tech company has started using AI software (loaded up onto iPads) to help supplement the standard practice manual counts. This year they concluded — perhaps more definitively — that 265,000 people protested in the streets of Hong Kong.

    Image: NY Times

  • What cars can tell you about a neighborhood

    This is an interesting study from a team of AI researchers at Stanford. What they did was use car images taken directly from Google Street View (so images of cars parked on-street) to predict income levels, racial makeup, educational attainment, and voting patterns at the zip code and precinct level.

    Admittedly, it’s not a perfect survey, but when they compared their findings to actual or previously collected data (such as from the American Community Survey), it turns out that their study was actually remarkably accurate. Google Street View allowed them to survey 22 million cars, or about 8% of all cars in the US.

    Here are some of the things they found:

    –  Toyota and Honda vehicles are strongly associated with Asian neighborhoods.

    – Buick, Oldsmobile, and Chrysler vehicles are strongly associated with black neighborhoods.

    – Pickup trucks, Volkswagens and Aston Martins are strongly associated with white neighborhoods.

    Interestingly enough, the ratio of pickup trucks to sedans, alone, is a pretty reliable indicator of voting patterns. If a neighborhood has more pickup trucks than sedans, there’s an 82% chance it voted Republican in the last election.

    Perhaps this isn’t all that surprising given that car purchases are highly symbolic. But given that the American Community Survey costs $250 million a year to administer, this study is a good preview of what cheaper and more realtime data collection might look like.