By Alvin Aloysius Goh

Two decades of evidence, one structural answer and three decisions that would actually change it.

The Paradox That Should Trouble Every CEO and CHRO

Singapore is, by almost any measure, one of the world's greatest economic success stories. GDP per capita now exceeds USD 107,000 at purchasing power parity, some call it the miracle story, and as said by our founding Prime Minister, Mr Lee Kuan Yew, from mudflats to metropolitan city! I call it the vision of a man and the tenacity of an engaged workforce!

The country has made the most sustained investment in workforce development of any comparable economy, through SkillsFuture, the National Jobs Council, and the newly formed Skills and Workforce Development Agency (SWDA). In 2025, the economy grew 5%, and yet only 14% of Singapore's workforce is engaged at work.

That figure comes from the Singapore Workplace Report 2026, released on 22 June by the Singapore Institute of Directors (SID) and Gallup, drawing on Gallup's State of the Global Workplace database.

It sits below the Southeast Asia regional average of 25%, below the global mean of 20%, and significantly below peers, where the Philippines records 39% engagement, Thailand 34%, Indonesia 27%, Malaysia 25%.

What happened? To be honest, the 14% figure is not new and in fact, tt has not moved since 2019, and when you look back further, across two decades of validated data, Singapore's engagement story is not one of sudden decline. It is a story of chronic, structural underperformance that predates COVID, predates AI, and predates every major skills policy investment of the last ten years.

Understanding that longer arc is essential, because if we treat this as a recent problem, we will reach for recent solutions. And that, I would argue, is precisely the mistake we have been making and potentially will make again!

Two Decades of Evidence: What the Data Actually Show

Before drawing any conclusions, it is worth establishing what we actually know and being honest about what we do not. Singapore has been measured by multiple credible research bodies over the past twenty years.

That picture that emerges is consistent, even if the methodologies differ.

A critical note on methodology: two different measurement frameworks appear in the data below, and they cannot be directly compared. Gallup's Q12 framework measures the proportion of employees who are fully emotionally committed and enthusiastic about their work, a deliberately high bar, currently producing the 14% figure. Mercer's Employee Engagement Index measures a broader composite of satisfaction, pride, motivation, and advocacy, producing scores in the 65–80% range.

The lower Gallup number does not mean engagement is dramatically worse than Mercer suggests; it reflects a different, stricter definition of what genuine engagement requires. With that caveat clearly on the table, here is what the validated data shows:

Period	Engagement (Gallup)	Mercer Satisfaction	Source / Note
2001-2003	~6%	-	Gallup: Singapore baseline. First formal tracking
2004	9%	-	Gallup: Highest to that point; still 82% not engaged.
2015	-	77%	Mercer EEI: Start of tracked decline in satisfaction.
2016	-	73%	Mercer EEI: Declining vs. rising global trend.
2017	-	72%	Mercer EEI + Aon Hewitt: Singapore at or near bottom of Asian markets.
2018	-	72%	Mercer EEI: Third consecutive year of decline.
2019	~14%	-	Gallup: Anchor year. Plateau begins.
2020-2022	~14%	-	Gallup: No movement through COVID or post-pandemic surge.
2022	-	Below APAC benchmark	Mercer: Singapore trails APAC on career visibility and growth.
2023-2024	14%	-	Gallup: Unchanged on prior three-year rolling average.
2025 (pub. 2026)	14%	-	Gallup / SID Singapore Workplace Report 2026

Sources: Gallup State of the Global Workplace (multiple years); Gallup Singapore country-level data 2026; Singapore Workplace Report 2026 (SID & Gallup); Mercer Singapore Employee Engagement Index (2015–2018); Mercer Singapore Employee Engagement and Experience Report 2022; Aon Hewitt Trends in Global Employee Engagement 2017.

What this data tells us and what it does not

Several things in this twenty-year picture warrant close attention.

1. The problem predates every policy intervention we have tried

Gallup first tracked Singapore engagement in 2001. Even in 2004 during a period the report titled 'Booming Singapore Sees Rise in Worker Engagement', where 82% of workers were not engaged. This data pre-date before SkillsFuture and before the restructuring push of the 2010s. Before any of the digital transformation programmes of the last decade. The structural foundation was always weak.

What is remarkable is that the Mercer data from 2015 to 2018 shows a trajectory moving in the wrong direction while global and APAC trends were moving up. Singapore's engagement on the satisfaction-based Mercer measure fell from 77% in 2015 to 72% in 2018, a period when the global figure was rising from 80% to 82%, and Thailand and Vietnam were recording 85–83%. Singapore was already diverging from its regional peers before the current plateau took hold.

Every major skills investment Singapore has made in the last decade has happened against a backdrop of declining or stagnant engagement. Investment in training is not the same as investment in the conditions that make people want to use that training.

2. The 'unchanged since 2019' framing understates the problem

The Singapore Workplace Report 2026 states that engagement has remained at or near 14% since 2019. This is accurate but framing it as stagnation since 2019 risks implying there was a better period before that. There was not, at least not in the Gallup Q12 sense. The figure has been low for as long as it has been measured on this framework. What changed in 2019 was not that engagement fell, it was that it stopped responding to the significant policy and economic activity happening around it.

That is the structural signal: a system that has become so deeply set in its engagement patterns that large external forces such as a global pandemic, record hiring, billions in workforce investment, yet cannot move it.

3. The root cause has been consistent for two decades

What is striking when you read across the Gallup 2004 report, the Mercer 2015–2018 findings, the Aon Hewitt 2017 analysis, and the 2026 SID/Gallup report is the consistency of the diagnosis.

Management quality, career development quality, and the quality of expectations-setting by direct supervisors appear as primary drivers in every credible study conducted in Singapore over this period. The proximate causes have not changed. What has changed or rather, what has not changed is the organisational architecture that produces those outcomes.

Aon Hewitt ranked Singapore alongside Malaysia at the bottom of major Asian markets in 2017. Mercer found that only 70% of Singapore employees felt they had adequate opportunities to learn and grow despite significant investment in training. Gallup in 2004 noted that only one in four Singapore employees strongly agreed their manager set clear expectations, a figure that remains structurally similar in 2026. The same drivers. The same gap. Twenty years later.

The 2026 Numbers That Demand a Structural Explanation

With the historical context established, the current figures carry more weight because they represent not a new development but a confirmed pattern.

Three features of the 2026 data deserve particular emphasis.

First, the generational gap is structurally anomalous. Globally, the engagement gap between younger and older workers is approximately two percentage points. In Singapore it is six or three times wider. This is not a normal pattern. It cannot be explained by generational values differences alone and Iit requires a detailed structural explanation and urgency is needed, given that a multi- generational workforce is embedded in our workforce.

Second, the stress figure tells a story about load, not character. When 53% of your youngest working cohort report daily stress and that figure has not improved despite three years of flexible work arrangements, mental health programmes, and employee experience initiatives, the problem is not that younger workers are fragile. The problem is that the conditions they work in are loading them in ways that the system has not changed.

Third, and most telling is that Singapore's senior leaders rate their own management capability at 3.32 out of 5 and their leadership pipeline at 3.05. These are self- assessments. The people responsible for these organisations know the management layer is weak. The constraint is then not awareness.

The Mechanism: A Management Problem?

Gallup's decades of longitudinal research attributes 70% of the variance in team engagement to the direct manager. Not company culture. Not pay. Not strategy. Not the quality of the HR function. The direct manager or did I miss a point here?

This finding has been replicated across industries, geographies, and organisational sizes. It is among the most robust findings in organisational psychology. And it points directly at the two architectural failures that the Singapore data has been signalling for twenty years:

• Promotion pathways that treat management as the default career progression for high-performing individual contributors, rather than a distinct role requiring distinct capability and genuine opt-in selection.
• Incentive structures that evaluate managers on their personal technical output rather than the development, performance, and wellbeing of their teams.

These are not cultural failures. They are design decisions and design decisions produce predictable outcomes.

When you select managers for technical brilliance and reward them for individual delivery, you produce managers who are technically brilliant, individually productive, and typically under-equipped to coach, develop, and genuinely lead the people around them.

The 2026 report names this directly: organisations routinely promote top individual contributors into management roles without adequate preparation, then reward them for personal output rather than team development. Even among Singapore's engaged employees, only a small fraction were enthusiastic about going above and beyond their role and the problem is compounded when disengaged managers produce disengaged teams.

The consistency of this diagnosis across Gallup (2004, 2026), Mercer (2015–2018), and Aon Hewitt (2017) is not coincidental. The same root cause has persisted because the architecture that produces it has not been changed. Programmes have been added around the edges. The underlying system has not been redesigned.

The Activity Trap: Why Two Decades of Programmes Have Not Moved the Number

The 14% figure has not meaningfully shifted in the period for which we have consistent Gallup tracking and the directional story from Mercer suggests that on broader satisfaction measures, the trend was actually negative between 2015 and 2018. This matters, because those years were not characterised by inaction. Singapore organisations invested substantially in engagement surveys, culture transformation programmes, employee experience initiatives, flexible work arrangements, mental health applications, learning platforms, and DEI frameworks.

And yet the aggregate outcome did not move. In some respects it moved backwards.

This is what I have come to think of as the activity trap, the gap between engagement motion (programmes initiated, surveys conducted, workshops delivered) and actual engagement movement (measurable shifts in how people experience their work day to day). The trap is not that organisations are doing nothing. It is that the activities being funded are operating at a different level of the system than the problem itself.

If 70% of engagement variance sits with the direct manager, and Singapore organisations have rated their manager effectiveness at 3.32 out of 5, then no volume of engagement surveys, no number of culture workshops, and no employee experience platform will structurally shift the number. The survey tells you the temperature. It does not fix the heating system.

There is a further dimension to this that the historical data makes visible. In 2004, Gallup noted that Singapore's investment in formal training programmes had actually declined from 45% of employees attending company training in 2002 to 32% in 2004 even as engagement was rising slightly. The relationship between training investment and engagement is not direct. What matters is not the activity but the architecture within which that activity is experienced. Learning that happens in an environment of poor management, unclear expectations, and no career visibility does not produce engagement. It produces trained, disengaged employees.

The AI Fault Line: Could Disengagement lead to AI Readiness Problem?

There is a dimension to this crisis that has not yet received sufficient attention in the current commentary: its direct relationship to AI adoption readiness and yet, many are quick to blame AI and this is solely based on my personal hypothesis and I stand guided by my peers and other experts.

The Singapore Workplace Report 2026 flags a bind that deserves to be named plainly. Employees asked to adopt generative AI tools that could, in the medium term, transform or potentially displace their own roles face a structurally rational choice (just look at the retrenchment numbers from some of the tech firms) either to resist rather than embrace.

Disengaged workers do not take calculated risks. They do not surface the ground-level, honest feedback that organisations need to navigate AI implementation intelligently. They do not volunteer the institutional knowledge and workflow insight that makes AI deployment effective rather than merely nominal. They do not experiment with tools that potentially might make their own roles redundant.

Put simply: an 86% disengaged workforce is not a workforce that will drive the AI transition. It is a workforce that will, at best, comply with it.

Singapore's senior leaders, as the 2026 report notes, are confident their firms can capture AI's value, but significantly less sure the broader workforce is ready.

That gap should be alarming for anyone thinking seriously about the AI transition. And it points directly back to the management layer: it is the direct manager who determines whether an employee's experience of AI is one of development and agency, or one of existential threat and displacement.

This connection also reframes the urgency. With GDP growth projected to slow from 5% in 2025 to 2–4% in 2026, Singapore needs its productivity gains to come increasingly from AI integration and workforce adaptability. A chronically disengaged workforce is the single largest structural risk to that transition. The cost of not fixing engagement is no longer a soft cost absorbed in a high-growth economy. It is a hard cost in a slower-growth one.

Decision 1: Separate the expert contributor track from the people leadership track

Most Singapore organisation have a single career architecture in which the natural next step from senior individual contributor is people management. This is the root of the problem. Management should be a distinct problem, with distinct selection criteria, distinct development investment, and distinct performance metrics entered by choice and supported by genuine preparation, not assumed as the default path to progression.

This requires rewriting job architectures, compensation bands, and promotion frameworks.

It is not a training programme. It is an operating model decision. Organisations that have separated these tracks consistently report stronger management quality and better team engagement outcomes.

Decision 2: Change what managers are formally measured and rewarded for

If team engagement, development velocity, and retention are not formal components of a manager's performance review and compensation, they will remain secondary to personal output. Not because managers do not care about their people most do but because incentive structures shape behaviour more reliably than intention.

The specific metrics matter less than the principle: make it formally visible that a manager's primary job is to grow their team's capability, performance, and wellbeing, not to deliver their own work. Assess and compensate accordingly. This is a performance management architecture decision. No workshop changes what managers are paid to do.

Engagement data belongs alongside financial data at the board level and not as a softer addendum, but as a leading indicator of productivity, innovation capacity, retention cost, and AI readiness. A board that is not yet receiving and interrogating engagement metrics with the same discipline applied to financial reporting is flying with incomplete instrumentation.

This requires HR leaders to reframe how workforce data is presented to the board, and requires boards to demand it. The conversation about what constitutes material business information in Singapore's governance context should include engagement as a core metric particularly as GDP growth slows and the margin for disengagement- related productivity loss narrows.

What This Means for HR Leaders: Three Actions This Quarter

The Singapore Workplace Report 2026 is slightly more thanone week old. The news cycle will move on quickly.

What matters is what senior HR leaders and CEOs choose to do with it and whether this becomes another data point that produces commentary without architectural change.

Here are three concrete actions I would encourage this quarter:

• Audit your management promotion pathway honestly. What criterias, formal and informal are used to determine who becomes a leader in your organisation? Are those criteria selecting for people leadership capability, or for technical excellence and tenure? If you cannot answer this clearly, the answer is probably the latter.
• Map your leadership performance framework against team-level outcomes. What proportion of a leader's formal performance assessment today is based on team engagement, development quality, and retention as opposed to personal output and project delivery?
• Prepare a board-level engagement brief. If you cannot today present a compelling, data-grounded case to your board for why workforce engagement is a strategic priority with a clear line to productivity, AI readiness, and long-term capability, build that brief now. The slower-growth environment of 2026 will make this conversation more urgent.

The 14% figure is not a verdict on Singapore's workers. It is a verdict on the systems they work within. Systems can be redesigned, financial forecast and gloomy narratives can changed with strong actions.

A Final Reflection

I have spent a significant part of my career in and around Singapore's HR ecosystem, as a practitioner, as the head of a professional body, and now as a DBA researcher examining workforce systems.

I have read reports like this before. I have sat in rooms where the data was presented and nodded at in agreement, and then watched the conversation move to the next agenda item. No call to action, No specific person responsible for the actions, no support given.

What is different about this moment is the convergence. The SID and Gallup report is not the first to flag the management capability gap.

But the framing of a 'strategic liability', board-level language, the explicit link between engagement and workforce readiness in a future of more unknowns, a multi-generation consisting of different values, and these signals a shift in who is being asked to own the problem.

If this resonates with challenges in your organisation

I would welcome a conversation whether you are a CHRO examining your management architecture, a CEO building the case for structural change, or an HR professional trying to move the engagement number in a meaningful rather than cosmetic way.

SHRI works with organisations across Singapore and the ASEAN region on leadership development, HR capability building, management effectiveness diagnostics, and workforce strategy. If you are looking for a diagnostic conversation, a framework for separating your expert contributor and people leadership tracks, or support preparing a board-level people strategy brief please reach out directly or visit www.shri.org.sg.

And I have a genuine question for anyone reading this: what architectural decision that is not a programme or an architecture decision has actually moved your engagement number? I would like to hear it, because the answer matters to more than just your organisation.

Data sources referenced in this article:

• Singapore Workplace Report 2026: Powering Singapore's Future. Singapore Institute of Directors & Gallup, 22 June 2026. Gallup State of the Global Workplace — Singapore country-level data (2026, 2025, 2024). gallup.com/workplace
• Gallup: 'Booming Singapore Sees Rise in Worker Engagement', October 2004. news.gallup.com
• Mercer Singapore Employee Engagement Index (2015, 2016, 2017, 2018). asean.mercer.com
• Mercer Employee Engagement and Experience in Singapore 2022. mercer.com
• Aon Hewitt Trends in Global Employee Engagement 2017. aon.com