Artificial intelligence is no longer confined to software or back-end systems. As companies begin to embed it into everyday operations, its influence is starting to extend into something more tangible: the kind of spaces businesses choose to occupy.

Insights drawn from occupier engagement by CapitaLand Investment across Singapore, China and India suggest that the expected decline in office demand is not materialising in the manner previously anticipated. Instead, what is emerging is a redistribution. Demand is becoming more selective, shaped by whether buildings can support a different kind of work, one that is increasingly data-driven, collaborative and tied to real-time decision-making.

Across office and business park markets in Asia Pacific, the workplace is beginning to shift away from routine task execution towards environments that support coordination, innovation and human-AI interaction.

AI-ready office buildings are driving demand in APAC markets

Across APAC markets, demand is increasingly concentrating in AI-ready office buildings. Occupiers are moving beyond traditional considerations of layout and density, placing greater emphasis on infrastructure that can support data-intensive workflows, collaboration and evolving operational needs.

This shift is reflected in both new leasing activity and renewal decisions. Buildings that can accommodate these requirements continue to attract demand. Those that cannot are finding it harder to remain competitive, particularly in markets where supply is already elevated.

At the same time, AI-driven efficiencies are beginning to affect how much space organisations require. Routine and support functions are becoming less dependent on physical space, and some occupiers are consolidating their footprints as headcount-to-desk ratios adjust. The reduction is not uniform, but it is evident in segments that were previously driven by scale.

What is also becoming clearer is how these requirements translate into the workplace itself. AI-ready environments are increasingly defined by integrated workflows that capture and reuse outputs, dedicated spaces for decision-making such as project studios and war rooms, and upgraded infrastructure spanning lighting, acoustics and connectivity. Buildings are also incorporating sensor-led systems to track usage and environmental performance, alongside layouts designed to support more flexible and collaborative patterns of work.

The result is a widening gap between assets. Higher-specification buildings in well-connected locations are maintaining relevance, while older stock, especially those with limited upgrade potential, is seeing a faster erosion in occupancy and value.

AI Is reshaping office demand through productivity and workforce shifts

AI is beginning to reshape office demand through changes in productivity and workforce structure. While early narratives focused on job displacement, current indicators point to a more complex shift, where certain tasks are automated while new, higher-value roles continue to emerge.

Historical data offers context. A significant proportion of today’s roles did not exist several decades ago, and technology has been a key driver of employment growth. AI appears to be following a similar pattern, replacing specific functions while creating new ones.

Organisations are also approaching AI as a tool for productivity and growth rather than cost reduction alone. Sectors with higher exposure to AI are reporting stronger gains in revenue per employee compared to those with lower exposure.

This divergence is also reflected in occupier expansion plans. In Asia Pacific, the technology, software and services sector stands out, with close to 70% of occupiers indicating plans to expand office space. Other sectors fall significantly behind, with many clustered around or below the 30% range, pointing to a more uneven demand outlook across industries.

Across the region, office employment is projected to grow, although not evenly. Expansion is more pronounced in technology-related sectors, including big data and AI, particularly in China, Singapore and India, while other sectors show a more cautious approach.

The transition is unlikely to be without friction. As roles evolve, there will be a period of adjustment as workforces reskill. The pace of this shift will depend on labour market conditions and how quickly organisations integrate AI into their workflows.

Office real estate is splitting between high-spec and obsolete assets

Office real estate is increasingly splitting between high-specification assets and those at risk of obsolescence. Performance is becoming more closely tied to the specific qualities of an asset rather than broader market direction.

Buildings that can support emerging occupier requirements are likely to retain demand. Those that cannot may require repositioning, where feasible, to restore relevance. In some cases, structural limitations may restrict the extent of upgrades, leaving certain assets at a disadvantage.

This is leading to a more selective approach to capital allocation. Core investments are gravitating towards assets with clearer long-term demand visibility, while value-add strategies are focused on repositioning where there is scope to improve performance. At the same time, capital is beginning to move towards sectors that benefit more directly from AI-driven demand, including data centres and technology-enabled logistics.

Across the region, the direction is becoming clearer. AI is not removing the role of physical workspace, but it is redefining its purpose. Demand is becoming more concentrated, more selective and more closely tied to a building’s ability to support increasingly complex forms of work. In this environment, relevance is no longer assumed. It has to be built into the asset itself.

Source: CapitaLand Investment (CLI) Group Research, April 2026; CBRE; Cushman & Wakefield.