{"version":1,"type":"rich","provider_name":"Libsyn","provider_url":"https:\/\/www.libsyn.com","height":90,"width":600,"title":"Using AI to Predict the Future Cost of Rent","description":"Imagine paying $5,600 a month in rent in Toronto by 2032. In this episode, Giacomo Ladas hosts Erkan Y\u00f6nder, Associate Professor at Concordia\u2019s John Molson School of Business, to unpack this projection and its far-reaching impacts. Using advanced AI models, Erkan\u2019s recent study forecasts steep rental increases in Canada\u2019s largest cities, driven by immigration, high demand, and supply constraints. Surprisingly, even a growing supply hasn\u2019t eased rents due to overwhelming demand, creating an unsustainable market. Erkan and Giacomo explore potential solutions, including targeted job creation in smaller regions and flexible zoning laws to distribute growth beyond Toronto, Vancouver, and Montreal. With AI\u2019s ability to trace complex patterns in rental trends, Erkan offers a glimpse into how rent could reshape Canadian cities over the next decade. Tune in for a deeper understanding of the housing challenges ahead and the partnerships needed to keep living costs manageable. Key Points From This Episode: \u2022 Introducing today\u2019s guest Erkan Y\u00f6nder and his research. \u2022 Why rents in Toronto could hit $5,600 per month by 2032. \u2022 The surprising correlation between supply increases and rising rents. \u2022 Why high demand outpaces rental supply in big cities. \u2022 How immigration policies and other factors impact housing demand and rental prices. \u2022 Why Toronto, Vancouver, and Montreal face unique rental market pressures. \u2022 Erkan\u2019s perspective on job creation to draw people to smaller regions. \u2022 The role of zoning laws in expanding housing beyond major cities. \u2022 Why certain areas experience higher rent growth than others in Canada. \u2022 Ways that advanced AI models enhance real estate predictions and analysis. \u2022 Advice to landlords and renters for navigating changing rental markets. \u2022 How investors and government can work together to improve housing.   Quotes: \u201cThen the question becomes, why do we have more immigrants in Toronto than many other regions across Canada? The reason is there are \u2013 more available jobs.\u201d \u2014 @erkanyonder [0:14:11]   \u201cAI can help us in certain aspects, especially when it comes to projections and predictions. So, why not have that information on the table and try to make more sophisticated decisions?\u201d \u2014 @erkanyonder [0:28:23]   \u201cCapital from the government won\u2019t be enough to build this much, \u2013 we need institutional investors to come to these markets and invest in those property companies, invest directly.\u201d \u2014 @erkanyonder [0:33:10] \u201cIn the long run, it\u2019s a very simple solution, we need to build more, and in order to build more, we need capital investors, real estate companies, and local governments and the government involved in this problem.\u201d \u2014 @erkanyonder [0:35:03]   Links Mentioned in Today\u2019s Episode: Erkan Y\u00f6nder Erkan Y\u00f6nder at Concordia Erkan Y\u00f6nder on LinkedIn Erkan Y\u00f6nder on X \u2018AI-Driven Insights into Key Factors Influencing Canada\u2019s Rental Market\u2019Concordia\u2019s John Molson School of Business Giacomo Ladas on LinkedIn Rentsync Sync or Swim Podcast Sync or Swim Email   ","author_name":"Sync or Swim: The Multifamily Growth Show","author_url":"https:\/\/www.rentsync.com\/resources\/podcast","html":"