Photo by Siwawut Phoophinyo on Unsplash
Climate finance has more than doubled since 2018 to around US$2tn a year, according to the Climate Policy Initiative. Yet the more money flows, the louder a simple question becomes: what is all this capital actually doing on the ground?
Vast sums of money are now moving under the banner of climate transition, but impact measurement struggles to keep pace. Too often, the outcomes of climate‑labelled projects remain fuzzy, reported in fragmented metrics that tell little about what has actually changed and who is accountable.
The problem is structural. Climate finance architecture today still largely celebrates inputs – pledges and volumes – while treating outcomes as an afterthought. Projects are often assessed against a relatively narrow set of static indicators, based on prior assumptions and estimations, and without sufficient monitoring of performance during implementation and operation. Where monitoring does exist, collecting and verifying data is costly, uneven and slow.
In this environment, it is hard to see how investments are performing in real time; to shift money away from under‑delivering projects; or to recalibrate incentives as conditions on the ground change. It is also fertile ground for “climate‑washing”: bold claims about impact that cannot be easily tested against rigorous, transparent evidence.
This is where the digital revolution starts to look less like a buzzword and more like a necessity.
The power of AI in climate finance
As digital technologies advance, they offer a powerful way to close the measurement gap that has dogged climate finance from the start. Satellite analytics, Internet‑of‑Things sensors, blockchain technologies and AI‑driven tools could work together to provide timely, reliable and interoperable data, enabling near real-time investment decisions. If used properly, these tools can help translate headline funding numbers into tangible, verifiable changes that can be measured and trusted years after a project is completed.
For example, these tools could be used in a zero-carbon industrial park which uses renewable energy power, electric vehicles, and carefully manages water, waste, and heat. Digital tools can be used to watch emissions and energy use in real time, instead of relying on annual reports and certificates. This raw data can show clear signals—such as whether a project qualifies for a “zero-carbon” label or a national subsidy—and store this information in records on a tamper‑resistant blockchain that can be checked later. In addition, an AI agent can help coordinate the process – streamlining data collection and analysis, and calculating climate impact automatically. With such a system in place, climate finance directed to the park is far more likely to deliver real, demonstrable impact.
Consider another example of a city using climate adaptation finance to reduce flood risk. New drains, green spaces and shelters are built, with the aim of cutting damage and keeping services running during heavy storms. With digital tools in place, the city can see much more quickly whether these measures are working, rather than relying only on a one‑off report years later. Data from sensors, remote sensing and resident reports can feed into an AI agent that, after each major rainfall, calculates how quickly services recovered and whether losses fell compared with a scenario without the project. Over time, this can create a clear, living record of whether vulnerable neighbourhoods are genuinely safer.
If used sustainably, these tools could fundamentally change what “impact” means in climate finance — not a claim reported at the end, but a fact verifiable along the way. Getting there requires digital solutions to be built into projects from the start, not bolted on after. To make that happen, closer collaboration among relevant stakeholders is needed.
A shift in focus is needed
For climate finance providers, the shift required is fundamental: moving from an input‑based approach—counting volumes approved or disbursed—to one that is clearly oriented around outcomes. There are already encouraging signs. Multilateral development banks, for example, are developing climate finance outcome metrics to sit alongside their existing assessment methodologies, which are mainly applied during project preparation. These methodologies still matter: they shape and improve project design at the outset. But outcome metrics can add a crucial layer, allowing impact to be measured with more concrete evidence over the life of a project.
For these tools to deliver, they should be woven into existing ways of working. The aim is not to reinvent the wheel or create new silos, but to build on project life‑cycle processes that already manage results. Digital tools can help connect and consolidate different types of data—sensor readings, data provided by partner countries and clients, information captured in project documents, and findings from independent evaluations – into a structured chain of evidence. Done well, this can turn scattered information into a coherent picture of what climate finance is actually achieving on the ground.
Project implementers face their own challenge: building capacity on several fronts. Climate awareness – especially around climate risks and their potential impacts – still needs to be built. A digital mindset is equally important: a clearer grasp of how digital tools work and how data should be managed. As these changes unfold, the division of labour between people and technology will need to be redefined – combining professional judgment with operational efficiency, and keeping clear lines of accountability.
The next phase of climate finance is here
Climate finance is now entering a new stage of development. The new collective quantified goal of US$1.3tn a year from all sources takes global pledges to an unprecedented level – but recent United Nations Climate Change Conferences have made clear that what really matters is not just the size of the promise, but how well it is implemented.
In this new phase, while developed countries are expected to lead, emerging markets and developing countries are not just recipients— they are becoming laboratories of practice. As climate finance markets deepen and digital technologies spread rapidly across these economies, there is ample space to pilot digital toolkits that can both channel climate finance more effectively and show its impact more clearly on the ground.
The choice is ours: climate finance can remain a gesture of goodwill, or it can become a data-driven engine of real transformation.
This page was last updated August 3, 2026
Written by
Tianyin Sun is the founder of RayEx Tech and a senior fellow of the PBC School of Finance at Tsinghua University
Yuan Zheng is a senior climate change professional of the Strategy, Policies and Partnerships Department at the New Development Bank. Previously, she worked as an economist at United Nations Development Program. Yuan holds a PhD in environmental economics from the University of Copenhagen. Her views do not necessarily reflect those of the New Development Bank.
