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The Future of Real Estate Investing

How technology and AI are reshaping the commercial real estate investment landscape

Published on April 15, 2025

The real estate investing landscape is on the cusp of profound transformation. For decades, commercial real estate has operated within well-established processes centered on manual analysis, Excel-driven models, and human intuition.

The Push Toward Technological Innovation

However, this is beginning to change. The rise of advanced analytics and artificial intelligence is pushing the industry toward a future where technology plays a central role in decision-making, risk assessment, and reporting. Investors are increasingly seeking faster, more accurate insights, and technology is stepping in to deliver. As the tools available to real estate professionals evolve, so too will the expectations around speed, precision, and transparency in deal execution.

Why Real Estate Has Been Slow to Embrace Change

One of the reasons real estate has been slow to embrace technological innovation is the sector's deep-rooted reliance on tradition. Real estate underwriting, in particular, has remained largely unchanged for decades. The complex, asset-specific nature of real estate transactions often leads to bespoke models built in spreadsheets. These models, while flexible, are time-consuming to create, prone to error, and difficult to scale.

The sector's fragmentation and the bespoke nature of each asset class — whether it be multifamily, industrial, or office — have also acted as barriers to adopting off-the-shelf software solutions. Additionally, many firms have seen little incentive to change a process that, while inefficient, has been sufficient to get deals done in competitive markets.

The Broader Business World Is Shifting

Yet the broader business world is rapidly shifting. According to a recent McKinsey report, as much as 60% of jobs in investing and business analytics could be under pressure from artificial intelligence and automation tools by 2030. These technologies are capable of automating routine analytical tasks, streamlining reporting, and generating real-time insights that once required hours of manual work.

The impact on real estate could be significant. While physical trades such as roofing, plumbing, and general contracting will remain largely insulated due to their hands-on nature, many of the office-based roles in underwriting, asset management, and investor reporting could face growing efficiency pressures.

Long-Term Economic Implications

The long-term effects of these changes are likely to reshape the economics of real estate investment. On one hand, operating expenses may fall as firms adopt technology to reduce labor-intensive back-office functions. This could generate a deflationary impact on overall costs and drive higher net operating income margins.

On the other hand, the aging of the labor force in physical trades may place upward pressure on capital expenditure budgets as skilled labor becomes more scarce. Real estate professionals will need to navigate this dual dynamic. It needs to balance the promise of technology-driven efficiency on the business side with the rising costs of maintaining and improving physical assets. As technology continues to advance, the real estate industry will face both challenges and opportunities in adapting to this new era of investing.

TL;DR

Real estate is experiencing a technological transformation driven by AI and advanced analytics, replacing traditional manual processes. While office-based roles face automation pressure, physical trades remain protected, creating economic challenges as technology reduces operational costs but skilled labor becomes scarcer. The industry must balance efficiency gains from technology adoption with rising costs of physical asset maintenance and improvement.