How AI is Having a Breakthrough Impact on Corporate Real Estate

Artificial Intelligence (AI) is transforming industries across the globe, and the Corporate Real Estate (CRE) sector is no exception. The Colliers Global AI in CRE Report 2024 takes an in-depth look at how AI is reshaping CRE, bringing about significant advancements and long-term benefits. The report covers various aspects of AI's impact, focusing on key areas such as implementation, benefits, challenges, and future opportunities.

The current state of AI in CRE

AI Implementation Plan

Many CRE leaders are preparing to integrate AI into their operations. Data shows:

• 33% We plan to introduce AI within the next two years.
• 26% The aim is to achieve this within the next year.
• 12% We plan to introduce AI within the next six months.
• 12% This is expected to be implemented within the next five years.
• 9% It has already implemented at least one generative AI solution.
• 7% I don't have a specific time frame in mind.

AI in CRE Category

Colliers has identified six key categories of AI that are currently being used or expected to be deployed soon.

1. Natural Language Processing (NLP) – Understand, generate and interact with human language.
2. Machine Learning (ML) – Learns from data and improves performance over time.
3. Predictive analytics – Analyze historical data to predict future trends.
4. Expert Systems – Mimic the decision-making capabilities of human experts in a particular domain.
5. Generative Model – Generate content such as images and text based on large datasets.
6. Computer Vision – Analyze and interpret visual information from the world.

Issues and Priority Areas

The novelty of AI brings challenges, particularly in data management and standardization. Colliers highlights five key areas of focus for successful AI adoption:

1. transparency – Standardize and share data across CRE companies to maximize the potential of AI.
2. Comprehensive Data – Ensure data is comprehensive and unbiased for accurate AI applications.
3. Governance – Developing a data governance program to minimize risk and ensure data accuracy.
4. amount of data – Leverage CRE’s vast amount of data to enable effective AI training.
5. Data Management – Effectively manage and regulate data access and integrity.

Predicting the impact of AI on CRE

Economic impact

By 2030, AI could automate activities that account for up to 30% of work hours in the U.S. economy, with significant impacts on productivity and economic value. McKinsey estimates that generative AI could add $2.6 trillion to $4.4 trillion in value to the global economy annually. However, this also means that up to 12 million occupational shifts could be required by 2030, with 80% of the jobs affected falling into four major occupations:

Market Growth

Investor interest in generative AI continues to grow, with funding amounts growing significantly.

• 2017: $1 billion
• 2023: $29.1 billion

Generative AI market revenue is projected to grow at a compound annual growth rate (CAGR) of 57.8% from 2023 to 2028, reaching $36.4 billion by 2028.

AI in CRE Service Delivery

Main impact areas

AI is poised to revolutionize several CRE services sectors, including:

1. Location Intelligence – Identify new and emerging talent pools and locations.
2. Supply Chain Solutions – Predict demand forecasts and make real-time adjustments to inventory requirements.
3. project management – Optimize resource allocation and cost management.
4. Transaction Management – Enhance location options with automated workflows.
5. Workplace Advice – Generate various occupancy and 3D space options.
6. Lease Management – Streamline processes with OCR AI technology.
7. Portfolio Strategy – Continuously optimize your portfolio with predictive analytics.
8. Facility Management – Implement predictive building maintenance and automated notifications.

Case Studies and Examples

Lease Management

• problemAn energy company was hit by a cyber attack, causing all of its systems to shut down.
• SolutionColliers used AI OCR to extract details from 40+ images, achieving a 90% capture rate to notify over 400 homeowners of late payments.

Facility Management

• the current: Facility managers work together to reduce costs and improve employee experience.
• futurePredictive analytics and machine learning optimize energy usage and preventative maintenance, while IoT devices are used to enhance facility management.

Supply Chain Solutions

• the currentConsultants use spreadsheets for demand forecasting.
• futureAI enables real-time adjustments based on operational and external data, optimizing supply chain efficiency.

Workplace Advice

• the current: Our consultants design customized workplace solutions.
• future: Machine learning analyzes survey data and generates 3D renderings to improve employee experience.

Portfolio Strategy

• the currentConsultants analyze portfolio data to align with business objectives.
• future: Machine learning provides real-time recommendations on market trends and the best property combinations.

Location Intelligence

• the current: Research will identify locations that best suit your hiring needs.
• future: Predictive analytics automatically recommend locations based on market trends and talent availability.

project management

• the currentThe project manager oversees resource management.
• future: Generative AI creates conceptual designs, cost estimates, and safety plans, improving project efficiency.

Transaction Management

• the current: The manager organizes real estate transactions.
• futureAI automates workflows, creates marketing strategies, and provides market analytics for better decision-making.

Additional Considerations

New Job

AI will create new job opportunities within CRE, including AI ethics experts, security engineers, AI-enabled property managers, and AI trainers.

Ethical concerns

AI raises ethical concerns, particularly around data privacy and the use of proprietary information. Companies must balance using AI effectively with upholding ethical standards.

Benefits of Introducing AI

AI minimizes errors, increases profitability, streamlines processes, and drives innovative problem-solving.

Industry Outlook

AI is expected to have a transformative effect on CRE comparable to the advent of the Internet. The rapid evolution of technology presents a huge opportunity for CRE companies to gain a competitive advantage.

Conclusion

Integrating AI into CRE offers significant benefits and opportunities for innovation. By addressing challenges around data management and ethical considerations, CRE companies can harness the potential of AI to enhance service delivery, optimize operations, and increase economic value. As AI technology continues to evolve, its impact on CRE will only grow, making it imperative that industry leaders stay ahead of the curve and embrace AI-driven solutions.

Readers who would like to learn more can download the Global AI in CRE Report 2024.