The Banking Executive Magazine - April 2025

the BANKING EXECUTIVE 42 ISSUE 196 APRIL 2025 FinTech and AI Chornicle tion of large-scale renewable proj- ects into national grids is often slow and costly. Even in mature economies, building infrastructure to balance and store renewable energy is still far from ideal. This is where nuclear energy is re- gaining momentum. With global in- terest in Small Modular Reactors (SMRs) growing, technology leaders such as Microsoft, Amazon, and Google are considering nuclear options for powering their AI opera- tions. SMRs offer steady, low-emis- sion energy output in more compact and potentially safer configurations. Leaders within Amazon Web Serv- ices have publicly described nuclear as a “great solution” for data centres due to its reliability and carbon neu- trality. Yet, nuclear power is not without its challenges. The time required to bring a reactor online can exceed a decade, and the regulatory and pub- lic acceptance hurdles remain sub- stantial. This temporal mismatch poses risks. The AI sector is acceler- ating on a timescale of months and years, while energy infrastructure lags behind. Without rapid and effec- tive planning, fossil fuels may fill the gap in the short term, undermining emissions reduction goals. The Financial Sector Must Prepare For central banks, financial regula- tors, and investment institutions in the Arab region, AI’s environmental cost introduces several new consid- erations. First, there are macroeco- nomic implications. Countries with emerging AI hubs must assess the ca- pacity of their national grids and water systems, as well as the volatil- ity such massive demand can bring to electricity pricing and reliability. Second, financial exposure to AI- linked infrastructure must be care- fully managed, especially as capital flows into data centre development, semiconductor manufacturing, and renewable installations. The poten- tial for stranded assets or resource bottlenecks is real. Moreover, banks underwriting large- scale energy or tech investments must now evaluate projects not only for profitability but for sustainability. The carbon footprint of AI-linked portfolios will likely come under in- creased scrutiny by ESG regulators and global financial watchdogs. In this context, Gulf countries—many of which are spearheading sovereign AI investments—must incorporate environmental intelligence into long- term planning. Notably, the recent agreement between the UAE and the United States to build the largest AI campus outside North America sig- nals both opportunity and responsi- bility. The region must lead not only in deployment, but in sustainable ex- ecution. INNOVATIONS THAT MAY CONTAIN THE SURGE Technological solutions are emerging to mitigate AI’s environmental toll. Within data centres, techniques like dynamic resource allocation, power capping, and AI-aware scheduling are improving energy efficiency. AI algorithms themselves are being redesigned for lighter footprints— through model pruning, quantisa- tion, and knowledge distillation. On-device AI, where processing is handled locally on smartphones or other hardware, could dramatically reduce the need for constant cloud access. Additionally, smarter cooling systems and battery storage solutions may help reduce water usage and smooth out renewable energy volatility. There is also growing momentum be- hind policy-driven innovation: car- bon accounting for data centre operations, incentives for recycling and circular hardware design, and carbon credits for sustainable AI op- erations. It is worth noting that while AI has contributed to energy intensity, it also offers tools to optimize energy usage. From predicting grid demand to managing supply chains, AI can help reduce systemic inefficiencies if ap- plied strategically. This dual role— both as a challenge and a tool—gives policymakers a unique opportunity to leverage AI for resilience as much as for risk. THE IMPERATIVE FOR ARAB BANKING LEADERSHIP The Arab financial sector cannot af- ford to view AI’s energy implications as a distant or purely technological issue. The intersection of energy pol- icy, digital infrastructure, and envi- ronmental stewardship sits at the heart of sustainable economic devel- opment—a top priority for central banks and regulators alike. Arab banks and financial institutions must now integrate environmental risk assessments into their AI financ- ing models. This includes encourag- ing clients to adopt AI-efficient solutions, supporting startups in the green AI space, and requiring de- tailed sustainability disclosures for AI infrastructure projects. Investment in clean energy—particularly in solar and nuclear—is not merely an ESG gesture; it is a strategic hedge against operational risk in a digitised econ- omy. At the regulatory level, it is time to explore policy instruments that en- sure AI’s footprint aligns with na- tional climate goals. This may include mandates for energy-efficient design, data localisation to reduce transmission loss, and stronger e- waste management frameworks. Above all, Arab banking leaders must foster a culture of accountabil- ity and foresight. As AI systems con- tinue to integrate into every layer of economic life, our collective respon- sibility is to ensure they are powered not just by electricity, but by ethical, sustainable, and forward-looking principles.