The Artificial Intelligence Revolution: Finding Sustainable Solutions : Artificial Intelligence Energy Consumption and Environmental Impact: AI will lead to an unsustainable increase in global energy consumption that will require sustainable solutions
Endersen, Alex Edward (2025)
2025
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-202503254936
https://urn.fi/URN:NBN:fi:amk-202503254936
Tiivistelmä
This thesis will concentrate on identifying what energy consumption and capital spending trends are caused by designing, creating, and implementing AI systems in everyday practices at schools, companies, home, etc. This includes the creation of data centres as well. To establish why AI is becoming so pervasive in modern society, we will research how and why AI is being used and the ways in which it can benefit us.
To understand what changes AI will bring it will discuss why AI technologies require more energy to perform their functions and why it costs more to design and create. The research will determine what exactly is required to design, build, and operate AI systems in terms of money, energy, and/or resources.
The research within this thesis will also focus on examining the differences between AI and classic computation systems, which will also allow us to better understand what kind of resources and infrastructure will be required for creating and running AI systems.
The main goal of this thesis is to determine sustainable solutions to support AI growth. The aim of this paper is to mitigate environmental or financial issues and/or draw attention to the issue. Some of the solutions include AI energy optimization, sustainable data center practices, and policy changes. Through these solutions we may be able to curb AI and data center energy consumption.
Keywords: Artificial Intelligence, Data Centre, Big Data, Cloud Computing
To understand what changes AI will bring it will discuss why AI technologies require more energy to perform their functions and why it costs more to design and create. The research will determine what exactly is required to design, build, and operate AI systems in terms of money, energy, and/or resources.
The research within this thesis will also focus on examining the differences between AI and classic computation systems, which will also allow us to better understand what kind of resources and infrastructure will be required for creating and running AI systems.
The main goal of this thesis is to determine sustainable solutions to support AI growth. The aim of this paper is to mitigate environmental or financial issues and/or draw attention to the issue. Some of the solutions include AI energy optimization, sustainable data center practices, and policy changes. Through these solutions we may be able to curb AI and data center energy consumption.
Keywords: Artificial Intelligence, Data Centre, Big Data, Cloud Computing