The reason ESG came to be seen as a cost is not simple. It is not for lack of good intentions, nor because corporate will was weak. The more fundamental reason is that ESG performance was never properly measured or accumulated, and was never connected to reward structures. As a result, ESG remained in the realm of regulatory compliance and reporting rather than at the center of corporate management. Naturally, ESG became something companies did because they had to, and it began to be perceived as a cost.
What makes Singapore's RIE2030 interesting is that it treats ESG not as a discourse on ethics but as a question of economic structure. The concept that emerges here is Digital ESG.
Many people understand Digital ESG as little more than ESG management software. But the Digital ESG described in RIE2030 is a far broader concept. It is a system that converts ESG data into economic value and connects it to actual asset structures. The core lies less in how well a company performs on ESG than in how ESG performance is converted into economic value.
The first change is in how things are measured.
One of the biggest problems with conventional ESG was that measurement standards did not match. Some companies counted only the carbon they emitted directly, while others included emissions across the entire supply chain. Some emphasized social contributions, while others led with governance structures. Because the standards differed, comparison was difficult, and the market found it hard to trust ESG assessments.
Digital ESG approaches this problem through data. Carbon emissions, energy use, waste circulation rates, supply chain stability and labor safety are managed as data and made comparable on the same basis.
Global logistics companies, for example, are already adopting AI-based carbon tracking systems. Which route a vessel took, how efficient its fuel use was, how long it spent waiting — all of it accumulates as data. What was once expressed as "environmental efforts" becomes quantified operational data.
Maersk is strengthening its supply chain carbon tracking system and expanding the Scope 3 data it provides to customer companies. What matters is that this data does not stop at being used in reports but also influences actual supply chain choices and contract terms.
The same is true in manufacturing. In the semiconductor and battery industries, energy efficiency data has begun to function as a condition for participating in global supply chains. Production processes with high carbon intensity are likely to weaken export competitiveness going forward. ESG is no longer merely a good deed but a condition of market access.
The second change is in how things are accumulated.
Conventional ESG reports were mostly written anew each year. But if year-by-year data is not linked, it is difficult to verify long-term improvement or to accumulate it as value.
Digital ESG treats ESG performance as a data asset that can be accumulated continuously. Over time, a company's carbon reduction trend, the degree of improvement in resource efficiency and its ability to manage social risk build up as data. The trust formed through this accumulated record becomes a new asset.
Financial institutions, for example, have begun looking not only at a company's current ESG score but also at how steadily it is improving. The ESG trajectory — the direction of improvement — is what matters.
Global investment institutions are also using ESG history as an investment criterion. Long-term improvement trends explain corporate risk better than short-term scores do. When ESG data accumulates over a long period, it becomes more than assessment material: it becomes a record that demonstrates a company's trustworthiness.
This is also why Singapore emphasizes Digital ESG at the level of national strategy. Rather than leaving ESG to the efforts of individual companies, it seeks to build data infrastructure and verification systems at the national level.
Digital verification frameworks matter in carbon trading markets as well, because it is necessary to track whether reductions actually occurred, whether there is double counting, and how reduction records are reflected across the supply chain. In the end, the core of the ESG market is trustworthy data.
The third change is in how things are connected.
The most powerful change brought by Digital ESG appears when it connects to finance.
In the past, ESG was a cost. Installing environmentally friendly equipment increased spending, and strengthening supply chain verification increased the administrative burden. But when ESG performance is linked to financing conditions, the structure changes.
Companies with strong ESG performance, for example, may see lower loan rates, reduced insurance premiums and easier access to global supply chains. Conversely, companies with significant ESG-related risks may face higher financing costs and greater difficulty attracting investment.
ESG now goes beyond a moral choice to become an economic condition.
Europe's Carbon Border Adjustment Mechanism (CBAM) illustrates this shift. If carbon data is not properly measured, the cost of entering the market may rise. This is the moment ESG becomes the language of the market.
The Monetary Authority of Singapore is likewise pursuing sustainable finance and connecting ESG data infrastructure to the green finance ecosystem. Singapore views ESG not as mere environmental policy but as part of an economic structure tied to the competitiveness of its financial hub.
This approach aligns with the core logic of the cross economy.
The cross economy asks not what more should be produced but into what value what has been produced should be converted. Digital ESG is a structure that converts ESG data into a trust asset. Trust is likely to become one of the important economic assets of the future.
It also matters that Digital ESG is not simply a technological solution.
Many countries adopt ESG platforms or AI analytics systems, but that alone does not turn ESG into an asset. The core is a structure in which policy, finance and technology work together.
RIE2030 focuses on this structure. The government sets data standards and policy criteria, finance links them to investment and lending, and industry builds digitally based ESG operating systems. When the three pillars move together, ESG can shift from cost to asset.
Consider South Korea's situation.
ESG fatigue is growing among Korean companies. Requirements keep increasing while tangible rewards are hard to feel. With reporting procedures growing more complex and regulations tightening, companies often fail to see a clear reason to pursue ESG.
The important question, then, is not whether to scale back ESG but how to turn it into an asset.
Without changing the structure, ESG will remain a cost. But if ESG data is connected to financing conditions, market access and trust within the supply chain, the situation changes. ESG becomes part of future competitiveness.
Digital ESG is a proposal to make ESG work inside the actual economic system — to connect ESG performance, once regarded as a cost, to growth and investment, to finance and trust. This is the direction Singapore's RIE2030 points toward.
The next installment will examine how Digital ESG connects to RIE2030's implementation framework. That is also where the reasons become clear: why Singapore operates its Flagship and Grand Challenge structures together, and why a national strategy must extend beyond declarations into an implementation framework.
