AI and Commercial Real Estate: Why This Isn’t the Collapse Many Predict

Site Selection Group has a unique vantage point on structural labor shifts. We advised companies during the early stages of offshore migration of IT, contact center, and back-office operations to markets such as India and the Philippines. We observed the headlines predicting domestic job collapse. We watched capital markets react. And we watched the industry adapt.

Today, we are seeing similar reactions to artificial intelligence.

Over the past several weeks, headlines have suggested that AI may permanently impair the commercial real estate industry. Publicly traded commercial real estate stocks sold off sharply following comments from major AI leaders about automation accelerating faster than expected. The narrative quickly shifted to job losses, reduced office demand, and structural decline.

We have seen this before.

Thirty years ago, when contact center and IT offshoring accelerated, many experts predicted the collapse of U.S. white-collar employment. The logic was straightforward: If software development, contact centers, and back-office operations could be performed overseas at a fraction of the cost, domestic jobs would disappear.

That prediction was wrong.

Instead, work evolved. Lower-level, repetitive roles migrated offshore. Higher-value roles remained onshore. Entirely new job categories were created. Productivity increased. Corporate margins improved. Commercial real estate adjusted.

AI represents another inflection point, but it's not the catastrophe some are forecasting.

The Offshoring Parallel

When large-scale IT and contact center offshoring began in the late 1990s:

• Entry-level programming roles moved offshore.
• Contact center and technical support scaled globally.
• Back-office processing consolidated in lower-cost markets.

Over time, however:

• U.S. technology leadership expanded.
• High-skilled engineering roles increased.
• Strategy, cybersecurity, product development, and management functions grew domestically.
• Office demand shifted, but it did not vanish.

The workforce did not collapse. It rebalanced.

The same structural pattern is likely with AI.

Who Is Most Exposed to AI?

The roles most vulnerable to AI automation are repetitive, rules-based, and process-driven. Many of those positions are already concentrated in nearshore and offshore markets.

In the contact center and BPO sectors, lower-cost geographies have long housed:

• Tier 1 customer support
• Transaction processing
• Data entry
• Basic technical troubleshooting
• Scripted outbound communication

If AI meaningfully replaces these functions, the first-order impact may be felt in certain offshore labor markets before it materially affects domestic professional employment.

That distinction is largely absent from current headlines.

Domestic markets increasingly concentrate higher-value functions: compliance oversight, analytics, escalation management, strategic operations, and executive leadership. AI will influence these roles, but augmentation is far more probable than wholesale elimination.

The base of the labor pyramid has already been globally optimized. There is less easy displacement left domestically than many assume.

AI Eliminates Tasks, Not Entire Industries

Artificial intelligence performs exceptionally well at:

• Pattern recognition
• Structured decision logic
• Summarization
• Workflow automation

It remains limited in:

• Complex judgment
• Negotiation
• Leadership
• Cross-functional strategy
• Relationship-driven advisory work

Commercial real estate, particularly corporate site selection, economic incentives negotiation, lease restructuring, capital markets strategy, and portfolio optimization, depends heavily on judgment, experience, and trust.

AI will improve underwriting speed. It will strengthen analytics. It will accelerate portfolio modeling. It will enhance RFP evaluation.

But it will not replace executive decision-making.

More realistically, AI compresses junior research layers while increasing demand for:

• Senior strategic advisors
• AI governance and oversight professionals
• Data integrity and compliance specialists
• Cybersecurity risk managers
• Portfolio optimization experts

Productivity gains historically reshape labor. They rarely eliminate it.

Implications for Commercial Real Estate

Short-term equity volatility reflects uncertainty, not structural collapse.

Commercial real estate demand remains driven by:

• Economic growth
• Corporate profitability
• Capital availability
• Industry expansion cycles
• Technological innovation

AI does not eliminate the need for manufacturing facilities, distribution networks, data centers, research laboratories or collaborative office environments.  In several cases, AI may expand demand in categories such as:

• Data centers
• Semiconductor fabrication plants
• Advanced manufacturing facilities
• AI-enabled operations hubs
• Research and development campuses
• Cybersecurity command centers

Certain administrative office footprints may contract in as a trend that began well before AI acceleration.

Office markets will continue to bifurcate, with high-quality, well-located space outperforming while commodity space struggles.

Industrial and data center real estate remain structurally supported by long-term demand drivers.

The sector is not disappearing. It is reallocating capital and labor toward higher-value use cases.

The Pace of Change

AI adoption may move faster than offshoring did, but large enterprises do not transform overnight.

Corporate governance, regulatory oversight, cybersecurity risk and customer experience considerations slow implementation. Capital allocation decisions remain deliberate.

Transformation typically follows a sequence:

1. Hype
2. Measurable productivity gains
3. Workforce restructuring
4. Stabilization
5. New growth categories

We remain early in that progression.

A Direct Conclusion

Market volatility should not be mistaken for structural extinction. Offshoring did not eliminate U.S. technology employment. It elevated it. The internet did not eliminate retail. It restructured it. Cloud computing did not eliminate IT departments. It increased their strategic relevance.

AI will likely follow the same arc. Some roles will shrink. Others will expand. Entirely new disciplines will emerge. Commercial real estate will adjust as it always has.

The firms that win in this environment will:

• Integrate AI into analytics and execution
• Specialize in defined industry niches
• Understand global labor reallocation
• Advise clients strategically rather than react to headlines

AI is not the end of commercial real estate. It is the next structural upgrade in how businesses deploy capital, talent, and real estate.