The Philippines’ growth story over the past 25 years has been among the longest-running in the world. Key drivers, including the information technology and business process management (IT-BPM) industry, overseas Filipino remittances, and a young, English-speaking workforce, have sustained that expansion.

The IT-BPM sector, in particular, expanded employment beyond Metro Manila. It helped create integrated townships across the country and drove demand for office, residential, and retail space in emerging districts. Artificial intelligence (AI) is now changing that dynamic, requiring the market to reconfigure in order to maximize the benefits it can generate.

AI is often described either as a driver of economic growth or as a force that could eliminate jobs and render industries obsolete. The IT-BPM sector is central to that debate. It contributed about 8% of gross domestic product and supported 1.89 million jobs in 2025, while also generating multiplier effects across other industries.

The implications for Philippine real estate are significant for occupiers, developers, investors, and landlords, whose decisions ultimately depend on where demand originates. AI is reshaping the underlying structure through which real estate demand is created. Rather than a direct market contraction, the more likely outcome is a reconfiguration that unfolds in multiple phases.

Microsoft Corp.’s 2025 Work Trend Index describes a similar progression. It outlines a shift from AI serving as an assistant for existing work, to humans managing teams of agents, and eventually to workflows and entire organizations being redesigned around human-agent teams. Although the framework focuses on teams, it also has implications for property markets: systems are established first, productivity improves, and broader economic transformation follows.

Expansion through digitalization

Across industries, companies are still laying the groundwork for AI adoption by digitizing records, standardizing workflows, and building systems that can capture, store, and use data effectively. At this stage, AI accelerates digital transformation but does not replace human judgment.

Most organizations remain in the early stages of adoption, with initiatives involving pilot programs and partial implementation. Microsoft describes this period as one in which AI primarily functions as an assistant, helping people perform their work more efficiently without fundamentally changing how organizations are structured. This is consistent with current adoption patterns, as companies continue to build the digital foundation required for AI integration.

AI-generated outputs depend on how queries are structured and how results are interpreted, particularly while data remain incomplete or are still being organized. People are therefore still needed to clarify inputs, interpret outputs, and connect them to real-world conditions. Human workers also remain responsible for organizing data, defining processes, and evaluating results.

For the property market, this means employment remains an important driver of space requirements during the early stages of AI adoption. For now, the transition is more about redirecting manpower needs. Human capital is required to build systems capable of supporting wider AI usage, and that groundwork will determine how effectively the technology can be used in the future.

Compression through system efficiency

As systems mature and become more stable, the nature of work will change. Tasks that initially required human input will increasingly be performed by AI tools with greater independence. Activities that once depended on manual input, including data entry, data handling, and basic analysis, will become more efficient.

Over time, human involvement in routine work is expected to decline, with manpower shifting toward oversight and control. Industry projections already reflect some aspects of this trend: revenue continues to grow while head-count expansion slows, indicating higher productivity per employee.

This aligns with Microsoft’s observation that intelligence is becoming increasingly available on demand, allowing organizations to expand output without a proportional increase in manpower. In practical terms, growth becomes less dependent on head count and more dependent on how effectively people and AI systems work together.

For real estate, this weakens the long-standing relationship between employment and space demand. Office demand generated by employees performing high-density, routine functions may soften, while demand associated with higher-value work and specialization is likely to remain. This will create different space requirements for occupiers and office developers.

New demand in the AI economy

Although AI may reduce manpower requirements for certain functions, it can also create new sources of demand. As data volumes increase, demand for data infrastructure will grow. This includes physical facilities such as data centers, server infrastructure, and supporting networks that enable digital activity.

These assets create new sources of property demand beyond traditional occupiers. They are real estate-intensive facilities with specific location, connectivity, and regulatory requirements, all of which may continue to evolve.

One indication of how this demand could develop is the Pax Silica initiative, which the Philippines joined earlier this year. Under the initiative, New Clark City has been identified as the site of a proposed 4,000-acre AI-focused industrial hub. The project aims to attract technology firms, advanced manufacturing, research institutions, and AI-related investments.

The plans remain in their early stages, and actual demand will depend on execution and implementation. For the property market, the development of the proposed hub will therefore be an important indication of whether planned AI-related activity translates into demand for infrastructure and supporting real estate. Nevertheless, the project illustrates the types of opportunities that could emerge if AI-related industries establish a larger presence in the Philippines.

Such opportunities could extend beyond data centers to industrial parks, research facilities, housing, logistics, retail establishments, and other supporting developments that commonly emerge around major employment and investment centers.

Energy is another important consideration. AI systems and infrastructure require reliable and scalable power, creating greater demand for energy-related infrastructure, from generation to storage.

At the same time, the nature of work is becoming more complex. Although fewer people may be needed for traditional roles, demand for specialized, value-driven positions is expected to increase. Microsoft Chief Executive Officer Satya Nadella has said AI does not reduce the importance of human capital. Instead, judgment, expertise, relationships, ingenuity, and pattern recognition become more valuable as AI capabilities expand and organizations increasingly combine human capital with what he calls “token capital.”

These developments will effectively redistribute demand. Sustained economic growth depends on how broadly its benefits are distributed. If income becomes concentrated among only a few, purchasing power declines, affecting demand across office, residential, retail, and industrial assets.

Real estate is particularly sensitive to this issue because it depends on long-term commitments that are directly linked to financial capacity and investor confidence. A central challenge for the market is identifying new roles capable of sustaining incomes and offsetting the decline in head count required for traditional functions.

As AI becomes integrated into economic systems, new industries, skill sets, and roles will become central to maintaining the demand that supports the real estate market. Microsoft refers to this development as the emergence of the “Frontier Firm,” in which new forms of economic value result from combining human expertise with AI capabilities.

Rather than simply replacing economic activity, AI changes where value is created and how growth is generated.

Reconfiguring the market

The AI revolution is pushing the real estate market to restructure itself. The initial phase focuses on building systems, followed by efficiency gains that may weaken certain types of demand. Over time, new demand can emerge from infrastructure, technology, and evolving economic activity.

This process will redistribute demand across asset types, locations, and functions. It will affect not only where space is needed but also the kinds of developments the market requires. Office, residential, retail, hotel, and industrial segments respond to different drivers as needs evolve. The market will therefore reconfigure to accommodate changing conditions.

Some may view AI as a threat to existing roles, but it is also ushering in the next stage of growth. The drivers that defined the Philippines’ past 25 years are evolving and becoming more dependent on value and specialization. As Microsoft’s research suggests, organizations are moving toward an operating model in which growth is increasingly driven by the combination of human judgment and AI capability rather than manpower alone.

The market will move through several phases: expanding as systems are built, adjusting as efficiencies develop, and eventually reallocating as new forms of demand emerge.

For market participants in a sector defined by long-term commitments, the challenge is to recognize emerging roles, anticipate what will create demand, where it will arise, and what form it will take, and position themselves early enough to participate. For developers, investors, and occupiers, the question is no longer simply how much space will be needed. It is what kind of space the next phase of growth will require and where demand will emerge.

David Leechiu is the chief executive officer and founder of Leechiu Property Consultants, Inc. (LPC).