by JOHN FEFFER
The call is coming from inside…your computer!
The conventional Artificial Intelligence doomsday scenario runs like this. A robot acquires sentience and decides for some reason that it wants to rule the world. It hacks into computer systems to shut down everything from banking and hospitals to nuclear power. Or it takes over a factory to produce a million copies of itself to staff an overlord army. Or it introduces a deadly pathogen that wipes out the human race.
Why would a sentient robot want to rule the world when there are so many more interesting things for it to do? A computer program is only as good as its programmer. So, presumably, the human will to power will be inscribed in the DNA of this thinking robot. Instead of solving the mathematical riddles that have stumped the greatest minds throughout history, the world’s first real HAL 9000 will decide to do humans one better by enslaving its creators.
Robot see, robot do.
But AI may end up killing us all in a much more prosaic way. It doesn’t need to come up with an elaborate strategy.
It will simply use up all of our electricity.
Energy Hogs
The heaviest user of electricity in the world is, not surprisingly, industry. At the top of the list is the industry that produces chemicals, many of them out of petroleum, like fertilizer. Second on the list is the fossil-fuel industry itself, which needs electricity for various operations.
Ending the world’s addiction to fossil fuels, in other words, will require more than just a decision to stop digging for coal and drilling for oil. It will require a reduction in demand for chemical fertilizers and plastics. Otherwise, a whole lot of renewable energy will simply go toward propping up the same old fossil fuel economy.
Of equal peril is the fact that the demand for electricity is rising in other sectors. Cryptocurrencies, for instance, require extensive data mining, which in turn needs huge data processing centers. According to estimates from the U.S. Energy Information Agency, these cryptocurrencies consume as much as 2.3 percent of all electricity in the United States.
Then there’s artificial intelligence.
Every time you do a Google search, it consumes not only the energy required to power your laptop and your router but also to maintain the Google data centers that keep a chunk of the Internet running. That’s not a small amount of power. Cumulatively, in 2019, Google consumed as much electricity as Sri Lanka.
Worse, a search powered by ChatGPT, the AI-powered program, consumes ten times more energy than your ordinary Google search. That’s sobering enough. But then consider all the energy that goes into training the AI programs in the first place. Climate researcher Sasha Luccioni explains:
Training AI models consumes energy. Essentially you’re taking whatever data you want to train your model on and running it through your model like thousands of times. It’s going to be something like a thousand chips running for a thousand hours. Every generation of GPUs—the specialized chips for training AI models—tends to consume more energy than the previous generation.
AI’s need for energy is increasing exponentially. According to Goldman Sachs, data centers were expanding rapidly between 2015 and 2019, but their energy use remained relatively flat because the processing was becoming more efficient. But then, in the last five years, energy use rose dramatically and so did the carbon footprint of these data centers. Largely because of AI, Google’s carbon emissions increased by 50 percent in the last five years—even as the megacorporation was promising to achieve carbon neutrality in the near future.
Foreign Policy In Focus for more