How Generative AI is Reshaping Real Estate | Alex Wolkomir
Feb 16, 2024
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Alex Wolkomir, Partner at McKinsey, discusses prime opportunities for cost savings and revenue in real estate using generative AI. The podcast explores best practices for integrating AI, cultural transformation, and McKinsey's early interest in AI impact on marketing and lease analysis in real estate.
Generative AI offers unique cost savings and revenue generation opportunities in real estate through customer engagement, creation, concession, and coding.
Real estate companies must proactively establish a clear vision, build data capabilities, and foster a culture that embraces technology to leverage generative AI effectively.
Deep dives
Generative AI in Real Estate: The Four C's Framework
Generative AI in real estate is a rapidly evolving field that offers several key opportunities. One of the most notable frameworks to understand these opportunities is the Four C's Framework. The first C is customer engagement, which includes applications like chatbots and co-pilots that can assist individuals in lease negotiations or market analysis. The second C is creation, enabling the generation of net new content such as documents, videos, and images. The third C is concession, which involves the synthesis and summarization of large volumes of data, helping real estate companies sift through lease documents, extract insights, and make informed decisions. The last C is coding, with a focus on accelerating engineering tasks and generating new code or data sets. Each of these categories provides unique cost savings and revenue generation possibilities across different asset classes and stages of the real estate value chain.
Navigating the Real Estate Landscape for Generative AI
Real estate, as an industry, has been traditionally slower in adopting advanced technologies like generative AI. However, there is now an increasing openness and recognition of the value that generative AI can bring to the real estate sector. The industry is at a turning point, recognizing the potential benefits of using generative AI to drive cost savings, operational efficiency, and revenue growth. Real estate companies are starting to invest in AI technologies tailored to their specific needs and use cases. By leveraging data analytics, predictive modeling, and automation, real estate firms can improve customer engagement, optimize leasing and asset management processes, and drive strategic decision-making. Although there may be variations across asset classes, a growing number of real estate organizations are embracing generative AI to stay competitive and future-proof their operations.
Building a Vision and Capability for Generative AI in Real Estate
To succeed in the realm of generative AI, real estate organizations need to establish a clear vision and build the necessary capabilities. This involves thinking proactively about data collection and organization, ensuring that relevant data is accessible, and considering what additional data may be required in the future. It is vital to break away from the traditional approach of waiting to accumulate an extensive data asset before starting AI initiatives. Instead, real estate companies should prioritize identifying low-lift, high-value proof-of-concept projects that demonstrate the potential of generative AI. Accompanying this vision and capability building is a cultural shift within the organization. Real estate companies need to foster a culture that embraces technology and data-driven decision-making, as well as hire and develop talent equipped with the necessary skills to implement and leverage generative AI tools effectively.
Collaborating and Evolving in the Generative AI Landscape
Real estate companies seeking to harness the power of generative AI should actively engage with industry resources and thought leadership. Staying updated on the latest advancements and trends in generative AI through industry-specific newsletters and conferences is crucial. Large real estate technology providers and experts within the field can offer valuable insights into the deployment and implementation of generative AI technologies. Moreover, experimentation and hands-on experience with generative AI tools and software are essential. Real estate professionals should familiarize themselves with user-friendly platforms and creative applications of generative AI, enabling them to understand the potential use cases and value it can bring to their specific real estate operations. By seeking knowledge, collaborating with experts, and actively exploring generative AI tools, real estate organizations can position themselves at the forefront of innovation and gain a competitive edge in the rapidly evolving landscape.
In this episode, Rob Sadow is joined by Alex Wolkomir, Partner at McKinsey & Company. Alex, a McKinsey & Company's Real Estate Practice leader, specializes in leveraging digital and analytics for innovative products and operational models. Alex also contributes to shaping McKinsey & Company's approach to Generative AI in real estate for tangible business impact.
Join us as we discuss:
Prime generative AI opportunities for real estate cost savings and revenue generation
Best practices for integrating generative AI, including setting a clear vision and establishing robust data collection.
Fostering a cultural transformation to create an environment that fully embraces and capitalizes on AI opportunities.
Flex Perspectives is available on Apple Podcasts, Spotify, Amazon Music, and YouTube.
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