Singapore’s small and medium enterprises have never lacked things to worry about. Manpower costs, rents, demand swings, digital transformation mandates, and now artificial intelligence have all landed on the SME owner’s desk at roughly the same time, and they’ve landed there without an instruction manual. Ask ten SME founders what keeps them up at night and you’ll get ten overlapping but not identical answers. Yet across surveys, grant applications, and conversations with trade bodies, three issues keep surfacing above the noise. We will look at what the data actually says matters most, and why the answer is less about technology itself and more about people, time, and confidence.
A crowded field of concerns
Start with the numbers. The Singapore Business Federation’s National Business Survey 2025 found that manpower costs remain the single biggest challenge for local businesses, cited by 66% of respondents, a figure that has stayed stubbornly dominant year after year. Customer demand uncertainty nearly doubled from 30% to 45% between the 2023 and 2024 editions of the survey, hitting hospitality, retail, and wholesale trade hardest. Rental and operating costs climbed too, from 36% to 43% over the same period. Layer on top of that the accelerating push toward digitalisation and AI adoption, plus a geopolitical backdrop of tariffs, supply chain realignment, and currency volatility, and it’s easy to see why SME owners describe their current environment as noisy rather than merely difficult.
But noise isn’t the same as priority. When you filter for what SME leaders say actually determines whether their business thrives or stalls over the next two to three years, three themes rise clearly above the rest: people and manpower, the leap from AI awareness to AI capability, and the discipline to choose a direction amid competing demands. Each is connected to the others, which is precisely why they’re hard to solve one at a time.
Issue 1: Manpower, the challenge that never left
Manpower isn’t a new problem, but it has evolved. It used to be primarily about cost and headcount: finding and affording enough people. Now it’s increasingly about capability: do the people already on payroll have the skills the business needs for the next phase of growth, and if not, who is responsible for closing that gap?
This shows up starkly in the AI conversation. According to a 2024 industry analysis, Singapore’s SME AI adoption rate nearly tripled, from 4.2% in 2023 to 14.5% in 2024, real progress, but still far behind the 62.5% adoption rate among larger enterprises that same year. The gap isn’t primarily about access to technology; grants and subsidised tools exist. It’s about people. SBF’s 2025 survey found that SMEs cite a lack of in-house expertise and uncertainty over where to even begin as leading obstacles, more than cost or access. A national skills assessment published in February 2026 covering Singapore and Malaysia found that only around one in five professionals currently demonstrate AI-ready capability, meaning most SME teams, even willing ones, simply aren’t equipped yet.
This is where the classic management challenge resurfaces in a new costume. SME owners are not just asking “should we use AI?”; they’re asking harder, more human questions: are my people ready for this? How do I get a team that has done things the same way for fifteen years to actually change how they work? Training budgets, at 36% of businesses planning to invest in staff training according to the SBF 2025 survey, suggest owners know the answer lies in people development. But knowing it and having the bandwidth to act on it are two different things.
Issue 2: AI, from curiosity to capability, and the resource squeeze that stalls it
The second issue is really two issues fused together: SMEs know AI matters, but converting that awareness into working capability is where things break down, largely because of resourcing.
The adoption numbers tell only half the story. Singapore performs strongly on AI experimentation (scoring 65 on one regional index) but falls away sharply on implementation (48) and integration into core operations (38), based on the same 2024 industry analysis. In other words, plenty of SMEs have dabbled, an employee trying ChatGPT, a manager piloting an AI tool for invoicing, but far fewer have embedded AI into how the business actually runs. PwC Singapore’s 2025 analysis of this gap is blunt: many SME AI efforts rely on a single internal “champion” juggling AI alongside their day job, so momentum collapses the moment daily operations get busy, which for most SMEs is always. One case cited in that analysis involved a marine supplier that dropped its AI tools altogether once recurring subscription and token costs outweighed the perceived benefit, compounded by staff who never gained confidence using the tools in the first place.
This is the resource-squeeze question SME owners raise constantly: with a lean team and no spare capacity, how do you free up even a few hours a week for people to learn, experiment, and figure out what AI can realistically do for a business this size? Government support exists, including the Productivity Solutions Grant, the Enterprise Compute Initiative, and an enhanced SkillsFuture Enterprise Credit rolling out from 2026, and SMEs using PSG-supported AI tools report average cost savings of around 52%, which is a meaningful proof point. But several SME leaders, per the 2025 PwC analysis, describe grant applications and support programmes as administratively tedious, which itself becomes another drain on the very time and attention that’s already scarce. The barrier increasingly isn’t belief in AI’s value; it’s finding the slack in the system to actually implement it properly rather than dabble and abandon.
Issue 3: Strategic direction, choosing a lane amid digital transformation and geopolitical noise
The third issue is less about any single external pressure and more about an SME’s ability to filter all of them into a coherent plan. Digital transformation, AI, geopolitical shifts, and cost pressures are each demanding attention simultaneously, and a business with limited resources cannot chase every trend at once. The SME owner who tries to build an online brand presence, master digital marketing, evaluate AI tools, hedge against geopolitical supply chain risk, and manage rising costs, all in the same quarter, risks doing all five badly.
This is often the least visible of the three issues because it doesn’t show up as a single line item in a survey. It shows up as fragmented effort: a Facebook page that hasn’t been updated in months, an AI trial that never got past the pilot stage, a digitalisation grant applied for but never fully utilised. Many SMEs, particularly smaller and more traditional ones, still don’t have a clear digital marketing or online branding strategy at all. They know a presence matters, but not how to build one that actually drives business, let alone how that presence should relate to their next AI investment. Without a clear sense of direction, technology adoption becomes reactive rather than deliberate, and resources that are already tight get spread even thinner.
Why these three, and not the others
Cost pressures, hiring difficulty, and macro uncertainty are real and heavily cited in the SBF 2025 survey data, but they are largely conditions SMEs must manage rather than choices they can make. Manpower readiness, AI implementation capability, and strategic clarity are different: they are the areas where deliberate action by an SME owner has the most leverage. Get the people question right, and technology adoption becomes achievable. Get technology adoption right, in a targeted rather than scattershot way, and it starts addressing the cost and productivity pressures underneath everything else. Get strategic clarity right, and an SME stops reacting to every new pressure and starts choosing which ones actually deserve its limited time.
The throughline
Underneath all three issues sits the same constraint: time. Singapore’s SME owners are not short on awareness; most know AI matters, most know digital presence matters, most know their people need new skills. What they are short on is the slack to act on that awareness without neglecting the business that’s paying the bills today. That is arguably the real story behind the 2025 and 2026 SME data: not a lack of ambition or understanding, but a resourcing gap between knowing what to do and having the capacity to do it. The SMEs that navigate the next few years well will likely be the ones that treat manpower development, focused AI adoption, and strategic prioritisation not as three separate initiatives, but as one connected effort, because for a business with limited hands and hours, that may be the only way any of it gets done at all.
Sources:
- Singapore Business Federation National Business Survey 2025
- SBF Manpower & Wages Edition 2025
- Pertama Partners, “Singapore SME AI Adoption Tripled in One Year” (2024 data)
- PwC Singapore, “Helping SMEs Sustain, Not Just Adopt, AI” (2025)
- Epitome Data/ Malay Mail, AI-ready skills assessment, February 2026
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