Karsten Wenzlaff, Advisor
August 26th, 2025
AI Energy | Sep 30, 2024

Freepik AI
According to the International Energy Agency (IEA), data centre workloads climbed by 340% between 2015 and 2022 as giant tech companies like Amazon, Google, and Microsoft doubled their power usage between 2017 and 2021, reaching 72 TWh. Artificial intelligence (AI) is growing at an exponential rate because AI operations require more large and complex data centres, resulting in unprecedented energy demands and a renaissance in nuclear power that can deliver continuous, low-carbon electricity. In Ireland, data centres consumed 18% of all electricity in 2022; if power generating capacity doesn't increase, that percentage might rise to 28% by 2031.
Globally, financial institutions have acknowledged the importance of nuclear power, with 14 major banks agreeing to assist the COP28 climate objective of doubling nuclear energy capacity by 2050.
The Department of Energy (DOE) in the U.S. recently approved a $1.5 billion loan to reactivate the Holtec Palisades nuclear reactor in Michigan. Similarily, Microsoft and Constellation Energy announced that they will be resuming the reactor at Three Mile Island in Pennsylvania by 2028 through a $1.6 billion power purchase deal.
OpenAI proposed building 5 gigawatt data centres throughout the United States with each requiring the power supplied by 5 nuclear power plants. Google is now looking at nuclear power possibilities.
Startups are innovating too. SMRs are transformative because they provide greater flexibility, scalability, and faster deployment than conventional reactors. As reported by Axios, there are several prominent initiatives on the go:
By supplying data centres and industrial sites with localized electricity, these SMRs can increase productivity and satisfy rising demand.
Despite AI consuming tons of energy, it can be used to optimize the energy efficiency of complicated power networks with improved AI forecasting models that balance supply and demand, especially with fluctuating renewable energy sources like solar and wind.
As an example, Google's neural network model for wind forecasting has increased output accuracy by up to 36 hours ahead of schedule, resulting in a 20% increase in the wind power's financial worth. These kinds of advancements allow energy suppliers to maximize computational loads, sell electricity ahead of time, and encourage more investment in renewable energy sources.
The convergence of AI, data center growth, and nuclear power opens multiple avenues for investors:
Fintech will play a key role in overhauling the energy landscape by offering innovation solutions for funding, managing, and optimizing clean energy investments.
The intersection of AI, nuclear power, and sustainable finance can help meet the world's rising energy demands while also meeting it's climate and sustainability goals. With AI driving energy efficiency and nuclear delivering constant, clean electricity, investors and fintech can have a key role in transitioning towards a sustainable and lucrative energy future.
The National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: www.ncfacanada.org
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