Artificial intelligence and clean energy are in a decisive race towards sustainable development
Artificial intelligence and clean energy in a decisive race towards sustainable development
From health care to education, from industry to forecasting climate disasters, artificial intelligence has become integrated into the details of our daily lives, becoming more than just a technical tool, but rather the cornerstone of our new digital world. However, this rapid expansion raises an urgent question: Where will we get enough energy to run all these algorithms?
At a time when the global focus is on software, robotics, and the enormous analytical capabilities provided by artificial intelligence technologies, one of the most prominent hidden challenges is often overlooked: energy. The infrastructure behind this giant technology consumes huge amounts of electricity. Which threatens to inflate the carbon footprint if it is not dealt with within a sustainable vision.
Perhaps what makes this file more urgent is that the energy that drives the artificial intelligence train today is not clean most of the time; Expectations from the American Electric Power Research Institute indicate that data centers in the United States alone may consume 9% of total electrical energy by 2030, and here the importance of activating a new path linking the progress of artificial intelligence with the provision of low-carbon energy solutions capable of growing in parallel emerges.
You will addressEarth GuardsIn this article, how artificial intelligence infrastructure can transform from a potential environmental burden to a major catalyst towards a more sustainable future, in line with the Sustainable Development Goals (SDGs), especially Goal (7) related to clean energy, Goal (9) related to industry and innovation, and Goal (13) related to confronting climate change; So keep reading.
Artificial intelligence needs energy
At a time when artificial intelligence is redrawing the boundaries of what is possible in various fields, the need is increasing to realize the harsh truth behind this progress, which is that the energy it requires is not without a price. Every machine learning process, and every trillion calculations performed per second, requires huge energy resources.
According to the International Energy Agency, global data center electricity consumption is expected to exceed 945 terawatt-hours by 2030. This is more than double what is currently consumed, and roughly the same as the consumption of the whole of Japan. Artificial intelligence systems are the main driver of this growth, with the centers equipped for them expected to consume four times the current electricity within just five years.
In the United States, data centers are expected to account for about half of the growth in electricity demand over the next five years, and if fossil fuels or traditional electricity grids are relied upon to meet this demand, the digital revolution may turn into an environmental burden that threatens rather than supports global climate goals.
According to these data, we find ourselves at a crossroads. Either we continue to build polluting artificial intelligence, or we adopt a model that combines advanced technology and clean energy in an integrated and strategic manner.
Clean energy knocks on the doors of artificial intelligence
To keep pace with digital leaps, the global energy landscape must be redrawn. What powers data centers today is often a combination of traditional electrical networks, diesel generators, and lithium batteries, but these sources have become insufficient, neither in terms of efficiency nor in terms of sustainability, to meet the needs of the new era.
Hence, attention began to turn towards cleaner and more flexible alternative solutions, such as advanced nuclear energy, geothermal energy, and storable solar energy. These models are considered promising in the long term. It provides reliable, low-carbon energy with limited land occupation.
Despite the enormous potential, these technologies suffer from bureaucratic obstacles, financing challenges, and time delays in construction, which makes solar energy with thermal storage a more realistic option in the near term, as it allows energy to be generated during the day and stored in the form of heat, which is later converted into electricity when needed.
It should be noted that what distinguishes these systems is that they do not rely on batteries that may deteriorate over time; This makes it a more reliable option for data centers that require always-on, uninterrupted operation, which also makes it an ideal foundation for building a clean and sustainable AI future.
The energy needed by data centers
New data from Wood Mackenzie indicates that the capacity of data centers in the United States has reached more than 92 gigawatts by the end of 2024, compared to only 5 gigawatts at the beginning of 2023, that is, an increase of nearly twenty-fold in less than two years.
This jump shows that technology companies are no longer satisfied with traditional centers in Silicon Valley, but are expanding into new areas, some of which lack strong infrastructure or clean energy sources, and here the benefit of flexible technologies such as solar thermal energy emerges, which allows the construction of high-performance data centers in remote areas or with limited capabilities.
This flexibility allows operators to choose the most appropriate locations without the need to rely on traditional networks or fossil fuel sources. It also contributes to expanding digital access to include areas that were technically marginalized, thus enhancing digital justice and achieving Goal (10) of the Sustainable Development Goals (SDGs) related to reducing inequalities.
Establishing smart infrastructure
Because sustainable digital transformation is not built on software alone, but rather on infrastructure that enables and directs this transformation, the role of smart infrastructure is highlighted as the crucial element in linking technology to energy and the economy. Basing artificial intelligence systems on clean energy sources is not limited to supportingclimate goals, but also opens up horizons for deeper economic transformations, as data centers transform from a potential environmental burden into effective development centers that generate local job opportunities, enhance innovation, and redraw the map of digital influence globally.
Hence, smart infrastructure becomes the link between technology and sustainability, provided that it is built on clean and reliable energy sources. Instead of continuous reliance on fossil fuels and the environmental and geopolitical risks that accompany them, the shift to safe nuclear energy, geothermal energy, and solar storage allows the establishment of flexible systems that keep pace with artificial intelligence without harming the planet.
Integrating these clean sources into a flexible energy network has become a strategic necessity to rebuild infrastructure on sustainable foundations that keep pace with the acceleration of artificial intelligence without burdening the environment. Combining safe nuclear energy, geothermal energy, and solar storage within an integrated network creates a global model that can be emulated, and most importantly, it embodies a real alignment between the ambitions of modern technology and sustainable development priorities, including energy security, climate action, equitable economic growth, and social justice.
In light of this global transformation,Earth Guards believes that the real challenge does not lie in accelerating artificial intelligence, but rather in containing it within a development model that respects the boundaries of the planet and redistributes the gains of technology fairly; The environment should not pay the price of digital transformation, and fragile societies should not be left on the sidelines of the new industrial revolution.
