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Our consulting and technology teams will help you meet the complex and demanding corporate real estate (CRE) challenges.
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AI will have an impact on real estate investment
While some challenging economic factors including elevated inflation, high interest rates, and decreasing values made for a somewhat difficult 2023 within the real estate private equity (REPE) funds space, opportunities could emerge in 2024. According to EY Parthenon’s Economic Outlook, we expect to see easing inflation and labor costs and the Fed cutting interest rates for the first time since 2020. We also see some important trends emerging within REPE funds including the rise of AI technology, new funds fees disclosure rules, and an important election ahead of 2024 will certainly be a big year in REPE funds.
As shown in the EY article Generative AI in Real Estate, artificial intelligence (AI) has a role to play within all functions of commercial real estate (CRE) by creating opportunities for greater efficiency, mitigating risk through its ability to rapidly scan data and identify concerns that may exist, and potentially paving the way for new business models. Within CRE, AI can be implemented to better manage property operations, such as through energy management and customer relationship management, including investor relations, and it has the potential to significantly impact human resources, information technology and legal support functions.
The REPE Funds space can also benefit from the implementation of AI. Generation of financial reports and forecasts, risk assessment and compliance, and fraud detection can all be streamlined with the help of generative AI (GenAI). Tasks such as invoice generation and processing, payments and billing have all been automated to some extent, but they can be further enhanced with AI. With the increasingly complex world of pricing and acquisitions, AI can assist with cash flow models, appraisals and market data.
CRE fund managers will need to assess the potential impact that GenAI technology will have on their tenants’ business and consequently on the different real estate asset classes. The adoption of this technology across different sectors of the economy could lead to disruption in how and where employees work and live, and it could impact both asset classes broadly and also the geographic location of those assets.
It’s important for leadership to work with their risk, compliance and legal teams, as well as those that have experience developing digital policies and procedures, to create guidelines to inform their GenAI strategies. Leaders should develop a scalable AI governance framework and continuation monitoring processes, as well as engaging in dialogue and conduct scenario planning to mitigate risk and create a plan that puts the organization in the best position to succeed.