The corporate real estate profession stands at an inflection point. Artificial intelligence is set to transform what in-house property and facilities leaders can achieve, how portfolios are managed and critically how value in the future is defined.

However, the first barrier most teams will need to clear is not a technology gap, it is a mindset one.

Quote

“The difficulty lies not in the new ideas but in escaping from the old ones.”
— John Maynard Keynes

From the printing press to the internet, every major technology wave has delivered compounding returns, after an initial period of anxiety and adaptation, and AI may be no different, except perhaps in speed and magnitude - welcome to an exponential world!

The challenge for in-house CRE leaders is not whether AI will transform the discipline (..it will), but how quickly they can turn apprehension into strategic action; training teams, redesigning workflows and closing the gap between deployment and genuine capability. 

01. The Productivity J-Curve: Where Most Teams Are Today

Erik Brynjolfsson’s “Productivity J-Curve” describes a pattern that follows every transformative technology where productivity typically dips first, as organisations unlearn old habits, rebuild workflows and update playbooks, before accelerating sharply. Accordingly adaption, not merely adoption, is where our AI race truly begins.

Most corporate real estate teams currently sit at the bottom of that curve. AI is being used to generate analysis, draft briefs and summarise reports ... in other words, to do yesterday’s tasks slightly faster. That is useful. It is not yet transformative.

The more important questions to be asking now are:

•   What is possible that was previously impossible?
•   How do we reframe corporate real estate as a strategic enablement asset, measured on outcomes, not activity?
•   What does our new north star look like and how do we build towards it collaboratively?

Alongside training and ideation, one key imperative during this lull is to understand where all your estate data lives, who holds the keys, who owns it, how accurate it is and which systems can access it. The right technology architecture may determine whether tomorrow’s agentic AI succeeds or fails. 

02. The Hidden Productivity Tax: Human and Functional Friction

In-house corporate real estate (CRE) professionals overseeing large, complex portfolios must navigate a highly fragmented operating landscape; spanning geographies, asset types, lease structures, service providers, and diverse stakeholder groups. This fragmentation often gives rise to organizational friction that remains largely invisible to traditional performance dashboards. In such dynamic environments, teams are frequently challenged by duplicated processes, siloed knowledge and sequential approval chains which often leads to operational drag and bottlenecks in the real estate lifecycle.

This hidden productivity tax, the accumulated drag of human and functional friction, represents one of the most significant and consistently underestimated challenges in the corporate occupier world. Without continuous improvement it can compound at every stage across the plan-build-operate lifecycle, from strategic workforce & portfolio planning to facilities management & stakeholder reporting.

By enabling global collaboration, open source offers a compelling way to promote continuous improvement and confront the challenges of excessive fragmentation and customisation. Over time a dedicated CRE professional community focused on exposing and eliminating friction could help compress both the time and effort required to reimagine a future-fit operating model.

03. The Hottest New Programming Language is English

As demonstrated by emerging agentic AI platforms, AI is already capable of taking actions, running processes and operating with genuine autonomy across complex workflows.

CRE intrapreneurs (persons driving innovation from within a large organisation) are destined to play a crucial role in an AI-enabled world by leveraging new ideas and new technologies to drive innovation and efficiency within their organisations. Intrapreneurial employees need to be technologist, instead what sets them apart is a curiosity-centric approach and willingness to challenge initial assumptions and status quo, coupled with an ability to frame problems and treat experimentation as a team sport.

In a world where the new programming language is English, the opportunities to reimagine operating models focused on harnessing the full potential of AI is significant. Consider the practical applications already within reach:

•  AI agents continuously monitoring a global portfolio in real time, compressing weeks of manual analysis into hours
•  Automated lease event tracking and critical date management across hundreds of agreements
•  Dynamic scenario modelling for “stay vs. go” or “build vs. buy” decisions, with environmental and financial variables integrated from the outset
•  Improving building efficiency, reducing carbon emissions and automating FM workflows
•  Natural language querying of portfolio data and ability ask your lease administration teams the same questions you would ask a senior analyst

Teams seeing the most tangible return will be the ones giving people permission to experiment, building on what works and retiring what does not. 

04. Crowdsourcing Solutions: The Case for an Open CRE Repository

The software development community has long understood something that the corporate real estate profession has yet to fully embrace, that the collective intelligence of a well-organised community outperforms any individual organisation working in isolation. In other words, innovation accelerates as knowledge and ideas flow freely.

Platforms like GitHub and Stack Overflow exist because developers recognised that sharing source code, approaches and solutions, openly and iteratively, accelerates innovation for everyone. The code improves. The community learns faster. And the pace of progress compounds.

Corporate real estate has no equivalent. In-house teams routinely solve the same complex problems independently; how to structure a business case for a strategic relocation, how to integrate sustainability considerations into a sourcing decision, how to negotiate break clauses in uncertain conditions, how to design a management information framework that senior leadership will actually use. Each team starts largely from scratch. Each set of solutions is siloed. The wheel is reinvented constantly.

The Open Source Way of Thinking reshapes this dynamic. By creating a shared repository of corporate real estate ideas, prompts and playbook templates, continuously contributed to and refined the potential exists to replicate for CRE what open-source development achieved for software (faster discovery, stronger solutions and a collective uplift that accelerates innovation across a connected community).

The value of collective insights and contributions lies not in the perfection of any single playbook but in the cumulative improvement that comes from many practitioners building on each other’s work.

05. Learning from Peers: The Network Effect

In-house CRE professionals often operate in relative isolation, with limited consultation with peers who share the same specialist knowledge or face the same complexity of challenges.

Teams managing large, complex estate interests have accumulated hard-won knowledge about what works, what fails and why. Bringing together the collective efforts of a community to explore collective ideas and expertise in a collaborative ecosystem could help unlock a step-change in the pace of innovation, mirroring how developers collectively advanced today’s AI software.

For in-house teams navigating the AI transition in particular, peer collaboration offers honest intelligence about what the real sticking points are and which approaches are generating genuine return.

06. What can you Discover with your Occupier Community

As witnessed in the software industry, when a community aspires to move from a reinvention of the wheel towards open ecosystems, innovation accelerates as knowledge and ideas flow freely. A coalition of forward-thinking in-house CRE leaders, harnessing the collaborative effort and contributions of an entire community would be able to: 

• Tap into the wisdom of peers to test what new tools or solutions really work
• Co-develop and iterate prompt libraries
• Build, share and refine playbooks
• Like, share and comment on best practices, recommendations and experiences
• Crowdsource insights and benchmark evolving approaches to emerging challenges such as AI adoption and decarbonisation pathways

Amplifying Opportunity: Collective Thinking at Scale 

The QWERTY keyboard was designed in the 1870s to prevent mechanical typewriter keys from jamming. It remains on every keyboard today simply because it became the accepted standard.

Corporate real estate teams poised to shape the next decade will be those with an unrelenting drive to eliminate friction across the full lifecycle, harnessed by shared insight and an appetite for continuous experimentation.

The question is not whether corporate real estate will be transformed. It is who will lead the way. The tools to write something better are available. Reimagination opportunities are enhanced by thinking together and a collaborative mindset willing to build in the open.

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