SINGAPORE — Money is no longer the biggest obstacle standing between Singapore’s real estate sector and the artificial intelligence revolution.
Instead, the biggest problem may be happening inside the companies themselves.
Organisational silos have emerged as the leading barrier to AI-driven transformation among Singapore’s corporate real estate leaders, surpassing both budget constraints and technology skills gaps, according to JLL’s 2026 Future of Work Survey.
The findings reveal a growing disconnect: companies understand that AI could transform the way they manage offices, buildings and property portfolios, but many are struggling to get different departments to work together and turn strategy into action.
Silos Now Rank as the Biggest Problem
The survey found that 37% of Singapore organisations identified organisational silos as their top barrier to real estate transformation.
That is significantly higher than the 25% Asia-Pacific average.
Meanwhile, AI and technology skills gaps and budget constraints were tied in Singapore, with 32% of respondents citing each as a leading challenge.
The findings mark a major shift in the conversation around AI adoption.
For years, companies have pointed to high costs and a shortage of technical talent as the main reasons for moving slowly. But in Singapore’s real estate sector, the bigger challenge is increasingly about coordination.
Technology teams, real estate managers, finance departments and business leaders may all understand the potential of AI — but getting them aligned on priorities and execution remains a major hurdle.
80% See the Need for AI — But Only 11% Are Optimising It
Perhaps the biggest warning sign is the gap between ambition and action.
According to JLL, 80% of Singapore organisations recognise the need to take action on their property portfolios because of AI-driven transformation.
Yet only 11% have reached the stage of actively optimising AI in their commercial real estate operations, below the Asia-Pacific average of 15%.
Meanwhile, the largest group of Singapore respondents — 27% — remains at the sourcing stage, where companies are still selecting AI tools and partners but have not yet fully deployed them.
Across Asia-Pacific, only 16% remain at that stage.
The numbers suggest that Singapore companies are aware of the disruption coming but are finding it difficult to move from planning meetings to real-world implementation.
Companies Are Watching AI More Than They Are Using It
The survey found that 52% of Singapore organisations actively monitor AI trends, while 42% analyse what AI could mean for their real estate functions.
But the number of companies taking concrete action drops sharply beyond that point.
Only:
- 36% are modelling portfolio implications with dedicated budgets
- 35% have change management programmes underway
- 31% are considering new locations for AI talent
- 28% are redesigning spaces for human-AI collaboration
The result is a growing execution gap.
Companies are studying AI. They are discussing AI. They are monitoring competitors.
But far fewer are redesigning their workplaces and property strategies around the technology.
Singapore’s Problem Is Different From the Rest of Asia
Across Asia-Pacific, the biggest obstacle is not organisational silos.
It is a shortage of AI and technology skills.
42% of organisations across the region identified skills gaps as their primary constraint, overtaking budget concerns for the first time in the survey’s 15-year history.
Singapore presents a different picture.
Its technology skills gap was cited by 32% of respondents — still significant, but lower than the regional average.
That suggests Singapore may have more of the talent it needs than some regional markets.
The bigger challenge is getting that talent, technology and decision-making power connected across the organisation.
JLL said this means companies may need stronger cross-functional governance, better leadership alignment and integrated data systems rather than simply hiring more AI specialists.
Singapore’s Wider AI Challenge Is Also About Integration
The findings echo a broader challenge facing companies across Singapore.
The Ministry of Manpower reported earlier this year that AI adoption remains uneven across businesses. While larger firms have significantly higher adoption rates, many companies are still only experimenting with the technology rather than integrating it into core operations.
High implementation costs and a lack of in-house expertise remain important barriers nationwide, while larger companies also face challenges involving integration complexity and data security.
In other words, simply buying an AI tool is not enough.
Companies must also change workflows, data systems, governance structures and the way teams make decisions.
Cybersecurity Is Now the Biggest Property Portfolio Risk
AI adoption is also creating new concerns.
Cybersecurity and data privacy ranked as the top portfolio risk for Singapore organisations, cited by 53% of respondents.
That was followed by:
- Technology and AI disruption — 46%
- Geopolitical instability — 40%
- Uncertainty over AI’s impact on space requirements — 37%
The results highlight what JLL describes as a technology dilemma.
Companies need advanced technology to improve productivity and remain competitive.
But the more they depend on AI and digital infrastructure, the more exposed they become to cybersecurity, privacy and technology risks.
Rising Costs Add More Pressure
AI transformation is also arriving at a difficult time for property managers.
Energy and utility expenses were identified by 44% of Singapore organisations as a major cost driver, while 42% cited rising rental costs — 14 percentage points higher than the Asia-Pacific average.
Inflationary pressures and technology infrastructure investments are adding further costs.
That means corporate real estate leaders are being asked to make buildings smarter and workplaces more productive while simultaneously controlling operating expenses.
The challenge is forcing companies to make increasingly difficult decisions about where to invest.
The Global Real Estate Industry Faces the Same Warning
Singapore is not alone in discovering that AI problems are often organisational rather than technical.
A 2026 survey by the National Association of Real Estate Investment Managers found that institutional real estate firms rated their AI governance readiness at just 5.1 out of 10, even as AI tools became widely available.
The survey concluded that AI adoption was moving faster than data quality, governance and organisational readiness.
Another 2026 commercial real estate study found that most unresolved barriers to AI adoption were internal rather than technical, with companies often struggling to agree internally on what they wanted AI to do in the first place.
The Bottom Line
Singapore’s real estate industry does not appear to have an AI awareness problem. It has an execution problem.
Organisational silos have overtaken budget constraints as the biggest barrier to AI transformation, with companies struggling to coordinate teams and convert AI ambitions into real changes in how they manage offices and property portfolios.
While 80% recognise the need to act, only 11% have reached the stage of actively optimising AI in their real estate operations.
The message from the latest research is becoming increasingly clear:
The companies that win the AI race may not be the ones spending the most money on technology. They may be the ones that finally get their own organisations working together.
WWC ONE MEDIA J.M.D
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