AI Skills Become a Requirement in a Tight Real Estate Job Market

November 3, 2026 - 06:36

Entry-level commercial real estate positions are becoming harder to land, and the competition is fiercer than it has been in years. Alongside traditional expectations like financial modeling and market analysis, employers now increasingly ask candidates to demonstrate experience with artificial intelligence tools. The shift is reshaping how real estate schools prepare students for their first roles in the industry.

Andrew Hunt of Marquette University explains that real estate programs are adapting their curricula to meet this new demand. Courses that once focused solely on property valuation, leasing and investment fundamentals are now incorporating AI applications, from automated underwriting to data-driven property analysis. Students are being trained to use these tools as part of their everyday workflow rather than as an optional extra.

The pressure comes from both sides. A slower transaction environment has reduced the number of entry-level openings, so firms can afford to be selective. At the same time, companies are looking for junior hires who can contribute quickly and work efficiently with technology that is becoming standard across the sector.

For job seekers, the message is clear. A strong academic record alone may no longer be enough. Familiarity with AI platforms, comfort with large datasets and the ability to interpret automated outputs are turning into differentiators in a crowded field. Schools that update their teaching accordingly are giving graduates a better chance of standing out.

Hunt notes that the adjustment is ongoing. Faculty are still figuring out which tools deserve a place in the classroom and how to teach them without losing sight of core real estate principles. But the direction is set. As the market stays tight, the candidates who combine industry knowledge with practical AI skills are likely to find the most opportunities.