Wenslus Murape
Hopkins Mariti
IN the ever-evolving discourse of global affairs, Climate Change and Artificial Intelligence (AI) have ascended as paramount subjects of contention.
At the 29th Conference of the Parties convened in Baku, Azerbaijan, environmental and technology leaders agreed that digital technologies are indispensable instruments in hastening the realisation of the 2030 Agenda for Sustainable Development.
These advancements are pivotal in climate monitoring, early warning systems, and the broader spectrum of climate adaptation and mitigation. Zimbabwe’s banking sector must be adequately prepared to adopt these advanced technologies.
This preparation will enable the fostering of climate change initiatives in alignment with the nation’s climate finance goals.
The country’s climate action plans, including its Nationally Determined Contribution (NDC), call for substantial investment in green technologies and resilient infrastructure, thereby presenting a clear pathway for financial institutions to partake in Zimbabwe’s green transition.
On a global scale, AI is being utilised to enhance climate risk assessment, develop innovative green financial products, and ensure transparency in sustainability reporting.
For Zimbabwean banks, the adoption of AI can lead to more precise credit risk predictions for green projects, optimised energy usage within their own operations, and the creation of novel financial products that support climate-resilient agriculture and renewable energy.
For instance, machine learning algorithms can analyse historical weather data and project future climate scenarios to predict potential risks to agricultural investments.
With agriculture and mining being key drivers of the economy, banks face significant exposure to physical risks like extreme weather events and transition risks tied to the global shift toward sustainability. AI-powered systems can help Zimbabwean banks analyse climate data, predict the financial impacts of climate change, and identify high-risk sectors.
For instance, AI can process satellite imagery and weather patterns to evaluate how droughts may affect agricultural loans or how carbon transition policies might impact mining investments.
As the global focus on combating climate change intensifies, green financing has emerged as a pivotal strategy for fostering sustainable economic growth.
For Zimbabwe’s banking sector, this entails prioritising investments and loans that support environmentally friendly projects, such as renewable energy, sustainable agriculture and climate-resilient infrastructure.
However, identifying and managing these opportunities can be complex. This is where AI is revolutionising green financing by providing tools to streamline processes, enhance decision-making, and ensure alignment with sustainability goals.
AI-powered analytics can sift through vast amounts of data to identify trends and opportunities in renewable energy, sustainable agriculture, and eco-friendly infrastructure.
AI systems can monitor and analyse energy consumption across branches and data centres, enabling the implementation of smart energy solutions such as optimised lighting, heating and cooling, as well as facilitating a gradual shift toward renewable energy sources. Additionally, AI-driven digital platforms can promote paperless banking, minimizing physical infrastructure needs, reducing paper waste and lowering emissions.
As Zimbabwe’s banks adopt AI-driven innovation, they can improve operational performance while contributing to national and global climate action goals. This digital shift minimises the need for physical infrastructure, positions the sector as a leader in sustainable finance, driving environmental stewardship and economic growth.
A key concern lies in balancing the benefits of AI adoption with the imperative of data privacy and transparency. As banks rely on AI to analyse vast amounts of data, including environmental, financial, and customer information, safeguarding sensitive data and maintaining transparency in AI decision-making processes are essential to building trust among stakeholders.
Equally important is addressing the risk of algorithmic bias in AI models used for green financing. If left unchecked, these biases could inadvertently favour large, well-established businesses while sidelining smallholder farmers, rural entrepreneurs, and marginalised community groups that are vital to Zimbabwe’s sustainable development. This is particularly pressing in a context where access to data and digital infrastructure is uneven. To truly lead the green revolution, Zimbabwe’s banks must commit to ethical AI development by ensuring fairness, inclusivity, and accountability in their systems.
This includes designing transparent algorithms, engaging diverse stakeholders in model development, and aligning AI strategies with both environmental goals and social equity.
In Zimbabwe, while the adoption of AI in banking is still in its early stages, there are promising examples of local banks leveraging digital innovations that could evolve to include AI-driven sustainability initiatives.
The growing use of chatbot systems and AI-assisted customer onboarding reflects a foundational shift toward more sustainable operations, reducing carbon footprints and supporting long-term environmental goals.
Similarly, financial institutions like BancABC and Stanbic have invested in digital banking services and mobile apps, which not only enhance customer experience but also reduce energy consumption and environmental impact from physical banking operations.
As the global economy pivots toward sustainability, Zimbabwe’s banking sector stands at a pivotal crossroads, uniquely positioned to lead the green revolution in Sub-Saharan Africa through the strategic adoption of Artificial Intelligence. Banks such as Nedbank Zimbabwe, operating under a regional legacy of climate-conscious finance, are well-placed to champion this transformation.
For example, South Africa’s Nedbank uses AI to monitor and report on its carbon footprint while financing renewable energy projects. By fostering climate-friendly projects, investing in digital innovation, and aligning with global sustainability frameworks, these institutions can set a benchmark for the future of finance.
Hopkins Mariti holds a Master of Science in International Relations and is a banker overseeing Chinese corporations in Zimbabwe. He is a pan-Africanist with research interests on the intersection of Artificial Intelligence and Climate Change.
Online Reporter