Artificial intelligence is beginning to change how knowledge work is produced — and that has direct implications for offices, portfolios and property markets over the next decade. A new long-term analysis from Cushman & Wakefield examines how faster execution, lower costs and AI-assisted workflows could reshape what companies need from physical space.
Rather than predicting exact outcomes, the research outlines where risk and opportunity are most likely to emerge.
From Desks to Decisions
As AI handles more drafting, summarizing and analytical tasks, routine knowledge work becomes faster and cheaper. That increases the relative importance of activities that AI cannot easily replace: judgment, accountability, negotiation and complex decision-making.
In practical terms, this could reduce the emphasis on desks for individual output and increase the value of spaces designed for high-stakes discussions, alignment and client interaction. The central question for occupiers becomes less about how many desks are required and more about whether the office improves the quality and speed of key decisions.
What “AI-Ready” Space Requires
Embedding AI into daily work raises new infrastructure demands. If meetings are captured, transcribed and converted into searchable records, offices need stronger digital foundations.
That includes:
- High-quality acoustics and lighting
- Reliable, high-capacity connectivity
- Cameras, screens and collaboration surfaces as standard utilities
- Rooms designed for focused project work and hybrid participation
In this model, the office operates less like static floor space and more like a performance-driven system built to support inputs and outputs.
Uneven Impact Across Cities and Buildings
AI will not affect all office markets equally. Functions built around large-scale, standardized processing — such as some back-office and shared service operations — may require fewer people and less space if automation increases.
Markets heavily concentrated in those activities could face structural demand pressure. By contrast, cities anchored in complex client work, advisory services and dense professional networks may prove more resilient, even as workflows evolve.
Product type matters as well. Buildings designed primarily for high-density processing functions may face greater long-term exposure than assets suited to collaboration and client engagement.
Flex Moves Into Core Strategy
As AI speeds up experimentation and project cycles, headcount and team structures may change more quickly. That increases the value of flexibility.
A smaller core office footprint, supplemented by flexible space, may allow companies to scale up or down without long-term commitments. For landlords, that introduces operational complexity, as flex models require service delivery capabilities closer to hospitality than traditional leasing.
Growing Market-Fit Risk
AI adoption will vary by industry and company. Some organizations will invest heavily in digital infrastructure and in-person collaboration. Others will prioritize cost control or distributed teams.
That divergence increases leasing risk for buildings designed around a narrow tenant profile. Adaptable floorplates, scalable infrastructure and the ability to support multiple use cases become more important to maintaining demand.
Overall, the analysis frames AI as a force that changes the internal economics of work first — and office demand second. The real estate effects will follow how companies reorganize tasks, teams and decision-making over time.
