How AI in Commercial Real Estate is Changing the Search for Commercial Space

AI in commercial real estate is changing the way companies approach almost every aspect of their business, and commercial real estate is no exception.

Increasingly, companies are turning to AI when considering their next office location. They use it to research rental rates, evaluate neighborhoods, estimate space requirements, and better understand the leasing process. Some even use AI to develop preliminary space plans and evaluate potential occupancy costs rather than working with a commercial real estate advisor.

These tools can provide a valuable starting point. However, there's an important distinction between what you can uncover from researching office space and what is necessary to secure the right lease.

AI gives occupiers a fast starting point on rents, neighborhoods, and space needs, but public data often misses available space and landlord motivation.

A lease should be judged on total economics, including rent, free rent, improvement allowances, and flexibility.

Cresa advisors use Cresa Core™ to compare lease economics, model renewal versus relocation, and identify issues earlier, then negotiate for the client.

What AI Gets Right (and Wrong) About Finding Office Space

A company considering a new office might ask ChatGPT what it should expect to pay for 15,000 square feet in their desired submarket, which neighborhoods are attracting technology companies, or how much space it needs for 75 employees.

AI can provide useful preliminary answers, but commercial real estate information that AI platforms have access to can be limited or outdated.

Unlike residential real estate, the commercial office market doesn't have one comprehensive, publicly accessible database capturing every available space, sublease opportunity, pending vacancy, or transaction in progress.

A building might advertise 20,000 square feet of available space, but the landlord may be willing to divide it, another tenant may be preparing to vacate a floor, or a sublease opportunity may exist that hasn't yet been marketed.

These situations illustrate why a search based solely on publicly available information may fail to capture the full picture of a particular building. An experienced real estate advisor will have market knowledge that uncovers valuable opportunities that would otherwise be overlooked.

How Cresa Advisors Use AI in Commercial Real Estate

At Cresa, AI is becoming an increasingly important part of how markets are researched, buildings are analyzed, and transactions are evaluated.

Cresa Core™ is Cresa's AI-powered commercial real estate software built for occupiers. It brings portfolio strategy, site selection, benchmarking, and transaction management into one system, so advisors can work from one source of data. Here's how advisors use it on a transaction:

• Market surveys. Core helps advisors assemble and compare market options, while the advisor checks availability, timing, building quality, and fit with the client’s requirements.
• Comparable lease transactions. Core organizes comparable deals so advisors can compare rents, concessions, term structures, and other economic terms across relevant transactions.
• Occupancy costs. Core models total occupancy costs, helping advisors evaluate the full financial impact of a lease rather than focusing only on asking rent.
• Financial proposals. Core allows advisors to compare offers side by side and evaluate rent, free rent, improvement allowances, operating expenses, and other concessions together.
• Lease documents. Core helps advisors review lease documents and identify potential issues earlier, while the advisor confirms the business, legal, and operational implications of each provision.
• Renew versus relocate. Core models the economics of renewing against moving, including different lease structures and free-rent and improvement-allowance packages.

Unlike generic AI tools, Cresa Core™ is built around Cresa's proprietary market data, transaction processes, and occupier-focused advisory experience. The advisor takes that analysis into the negotiation, where it helps the client evaluate alternatives, identify leverage, and negotiate for better total economics.

Beyond individual transactions, Cresa Core™ supports portfolio strategy, site selection, labor analytics, project management, and lease administration.

For clients, the benefit is straightforward: more efficient analysis, better access to information, and more time dedicated to evaluating opportunities and executing transactions.

Why Landlord Economics Matter More Than Asking Rent

Beyond knowing what office space is available, one of the most important aspects of a commercial real estate transaction is understanding the economics behind the landlord's position.

Two buildings across the street from one another might quote similar asking rents but have dramatically different financial circumstances. One landlord may have significant debt obligations, an upcoming loan maturity, or substantial vacancy. Another may have a strong balance sheet, limited availability, and little incentive to negotiate.

Awareness of these differences can influence the terms and financial outcome of a transaction.

Understanding a building's financial position may reveal a landlord's potential motivation. For example, a landlord facing significant upcoming vacancy may be more willing to offer additional free rent, a larger tenant improvement allowance, or greater flexibility on lease terms.

AI can help uncover some of these insights. The challenge is interpreting them in the context of current market conditions and turning them into a negotiating strategy.

Cresa’s tenant representation advisors help clients turn that analysis into leverage during negotiations.

Can AI Replace a Commercial Real Estate Advisor?

While AI is becoming an increasingly powerful resource, a successful office transaction involves more than identifying available space and comparing rental rates.

Lease negotiations involve numerous variables, including rent, concessions, tenant improvement allowances, operating expenses, expansion rights, flexibility, and long-term financial obligations.

These terms must be evaluated together rather than independently to understand the full picture.

For example, an office space with a lower starting rent may ultimately be more expensive than one offering additional free rent or a larger improvement allowance. In another case, a favorable economic package may be less attractive if the lease contains restrictive provisions that limit a company's future flexibility.

The objective is to structure a transaction that supports both a company's immediate requirements and its longer-term business plans, and an experienced real estate advisor can help achieve this goal.

AI can help analyze proposals, identify differences, and model financial outcomes. An experienced advisor brings that analysis into the negotiation, taking into account the landlord's position, competing alternatives and the tenant's priorities.

Cresa advisors represent only occupiers, never landlords or developers. See why conflict-free representation matters.

Working with a commercial real estate advisor results in a more informed and strategic approach to the transaction.

The Future of AI in Commercial Real Estate

AI will continue to reshape how companies evaluate their real estate needs and how advisors work with clients.

As technology improves, more information will become accessible, financial analysis will become faster, and parts of the transaction process will become increasingly automated. The opportunity is not to choose between AI and a commercial real estate advisor, but to combine the strengths of both. At Cresa, that means using technology to enhance research, analysis, and execution while maintaining a focus on each client's business objectives.

AI can help you understand the office market. A good advisor can help you take advantage of it.

Contact us to learn more about how Cresa combines technology, market intelligence, and tenant representation to help companies make better real estate decisions. See how Cresa Core works.

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