AI Myths!
Artificial Intelligence (AI)
AI Myths: Energy, Water, and Artists
As artificial intelligence (AI) technology rapidly improves, myths and misconceptions about it spread just as quickly. That's not to say everything about AI is perfect, because it's not. But at the same time, it's important to distinguish between fact and fiction. In today's article, we tackle some of the common myths about AI's impact on the environment and its effect on creative industries.
Energy Use in Context
First and foremost, AI's energy consumption is often exaggerated. The challenge is understanding the scale and context of its energy usage. To put things in perspective, the technology sector, which includes all digital technologies, with AI estimated to be about 20% of it, accounts for less than 4% of global energy consumption according to the International Energy Agency's 2023 report.
Since AI often replaces other technologies, the environmental impact of those other technologies must be considered. According to a study in Nature Scientific Reports by Lannelongue et al. (2021), paper-based art could emit between 310-2,900 times more CO₂ than AI-generated art. Additionally, handwriting can be 130-1,500 times more carbon-intensive than typing with AI assistance.
Ongoing innovation is being developed in energy-efficient algorithms and specialized hardware that are already significantly reducing these demands. Without doubt, further improvements will come soon.
Water Usage Is Overstated
Another concern regarding AI technology is its water usage. It's said that data centers consume water to cool their computers, but you need to put this in a broader context to understand it. For example, X.AI (Elon Musk's AI company developing the Grok AI model) has a facility in Texas that used about the same amount of water over a two-year period as the average Texan uses in a single day. Given that Texas receives around 480 trillion liters of rainfall per year, AI's water usage has minimal impact in reality.
Another concern regarding AI technology is its water usage. It's said that data centers consume water to cool their computers, but you need to put this in a broader context to understand it. For example, X.AI (Elon Musk's AI company developing the Grok AI model) has a facility in Texas that used about the same amount of water over a two-year period as the average Texan uses in a single day. Given that Texas receives around 480 trillion liters of rainfall per year, AI's water usage has minimal impact in reality.
AI vs. Creators
Creative industries strongly argue that AI is stealing from artists. They're right when AI breaks legitimate copyright, but this doesn't happen very often. Artists' works are used to train AI, but that's not theft per se. Artists also use other artists' works to learn. Work is currently underway to address this issue. For example, some AI companies are developing systems to identify artists and pay them for their work.
On the other hand, artists can use AI as a tool. Consider independent filmmaker Sarah Rodriguez, who used AI-generated art to secure funding for her documentary. After securing funding, she hired human artists for the final artwork, demonstrating how AI can enhance artists' work rather than replace it.
AI expands access to creative solutions while simultaneously pushing human artists to innovate and redefine their craft.
Change Follows a Pattern
During the 1990s and 2000s, the internet was scrutinized for being wasteful, expensive, and a threat to traditional jobs. The same concerns emerged with the arrival of cell towers, digital cameras, and design software. Over time, significant changes occurred in society, allowing clerks to learn and effectively use Excel, and film photographers learned to master digital editing.
AI represents the next step in this evolution. The key competency for future professionals will be AI literacy, which is the ability to create effective prompts, critically evaluate AI outputs, and integrate AI-generated content with human expertise. AI courses and workshops are available at LinkedIn Learning, Coursera, and other companies to help people who want to develop and improve their AI skills.
AI Is Just a Tool
Perhaps the most critical point about AI is that it's not a person. It's a sophisticated tool that collects digital data to fulfill human requests. Given the amount of information on the internet, such tools are essential.
Creative technologies have always been a cause for concern. But with new creative technologies come new opportunities. Those who oppose technology risk being left behind, similar to the Luddites, those textile workers who protested against machinery during the Industrial Revolution.
Conclusion
The myths surrounding AI have some basis in truth, but they're often exaggerated. When we examine the figures in a broader context, we can extract the truth.
As we look toward the future, new challenges will emerge. Thoughtful policies and ethical frameworks will be needed for issues concerning data privacy, algorithmic bias, and economic displacement. But addressing these challenges requires the precise understanding this article supports. Neither uncritical enthusiasm nor apocalyptic fear will serve us well.
As more AI enters our lives, it's important to learn how to use it effectively. AI can help us in various areas, from creating art to making office work easier.




