The AI Revolution Is Bad News For Net Zero
Artificial intelligence (AI) is taking the world by storm. New AI applications are announced daily
Amazon, Apple, Google, Meta, Microsoft, and many companies tout plans for artificial intelligence capabilities. But the AI revolution is bad news for global efforts to achieve net-zero emissions.
The AI revolution is based on high-performance AI chips, which are capable of revolutionary levels of computer processing power and can sort through vast amounts of stored data.
Multiple AI chips reside on each of dozens of boards, housed in endless racks of servers, which are sited in warehouse-sized AI data centers.
While the rack of a conventional server of a data center draws roughly seven kilowatts of electricity, an AI server rack can use up to 50 kilowatts of power.
Spending on artificial intelligence infrastructure is projected to grow at a compound annual rate of 44 percent over the next six years. Total data center power requirements will increase by at least a factor of six and maybe by as much as 10 times by 2029.
‘Greenhouse gas’ emissions from AI data centers will increase by similar amount.
The International Energy Agency estimates that data centers account for one to 1.5 percent of world electricity use and are responsible for about one percent of energy-related ‘greenhouse gas’ emissions.
But the rapid growth of AI infrastructure, coupled with a jump in electricity consumption as power-hungry AI server racks replace conventional server racks, will cause carbon dioxide (CO2) emissions from data centers to skyrocket. Artificial intelligence will become a major contributor to global CO2 emissions by 2030, contrary to Net Zero goals.
Proponents define Net Zero as an even balance between the amount of ‘greenhouse gases’ emitted from human industrial processes and the amount removed from the atmosphere.
They claim that we must attain Net Zero by 2050 to limit the rise in global temperatures to 1.5 degrees Celsius above the background temperature level of the 1800s. Wind turbines, solar panels, heat pumps, biofuels, hydrogen fuel and carbon dioxide capture and storage are all promoted as tools to get us to Net Zero.
But virtually nothing that our modern society does is “zero emissions.” Building a house, for example, means cutting down trees for lumber; mining materials and manufacturing wire and components for electricity; producing plastic or copper for pipes; manufacturing drywall, roofing, brick, glass, concrete and many other materials and emitting ‘greenhouse gasses’ every step of the way.
Manufacturing of household furnishings — such as furniture, appliances and computers — also emits large quantities of CO2. Transportation of all these materials emits even more greenhouse gases.
Even a grass hut isn’t Net Zero. CO2 is released when you cut down grass and wood to build the hut.
Net Zero is fundamentally a zero-growth ideology.
The United Nations, International Energy Agency and green movement leaders call for an eight percent reduction in world energy consumption by 2050. But energy consumption increased 47 percent from 2000 to 2021.
They call for a 40 percent reduction in carbon dioxide emissions by 2030. But global CO2 emissions increased by 44 percent from 2000 to 2021. The AI revolution and other programs for societal development run contrary to the zero-growth plans of Net Zero.
Today, about 700 million people do not have access to electricity. Another two billion people suffer from daily electrical power blackouts. If your home in the United States has an air conditioner, you consume triple the electricity that is used by people in one-third of Earth’s population.
Net Zero demands for a global reduction in energy use run counter to history and common sense.
Far away from artificial intelligence, the residents of developing nations lack many things that we take for granted in wealthy nations. People in the U.S. and Europe enjoy at least one vehicle for every two residents, compared to fewer than four vehicles per 100 people in India and Africa.
In sub-Saharan Africa, where daily temperatures often exceed 86 degrees Fahrenheit, only one in sixteen people has air conditioning. Forty percent of these people don’t even own a fan.
As another example, residents in wealthy countries use about 20 times as much plastic as residents in undeveloped countries.
The people of developing nations will choose economic growth and higher standards of living over the no-growth policies of Net Zero every single time.
Driven by the expansion of new technologies like artificial intelligence and the need for economic growth in developing countries, there is zero chance that Net Zero will be achieved by 2050.
Energy consumption and CO2 emissions will continue to rise for decades to come.
See more here dailycaller.com
Header image: Dean Mouhtaropoulos / Getty Images
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Howdy
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“Multiple AI chips reside on each of dozens of boards, housed in endless racks of servers, which are sited in warehouse-sized AI data centers.”
“a jump in electricity consumption as power-hungry AI server racks replace conventional server racks”
A so called, conventional server rack is allready used as an “IA” server in so many cases. When a processor adds 2 plus 2, it demonstrates “intelligence”, because it acts like the human brain.
Current data centres use multiple actual processors, containing multiple cores, running multiple threads, doing multiple tasks. This has been the case for a long time.
The advanced AI chips being discussed are actually video card processors, allready known to leave current cpus in the dust for some operations. These days, they are also conventional.
Anybody can utilize this tech as it is not new. Use it with your laptop. You can even get paid for it. They are used in the medical field. Donate your spare cycles to a good cause.
You can build one, or buy one.
https://www.gigabyte.com/uk/Enterprise/GPU-Server
“AI ” is just a scapegoat to blame.
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Wisenox
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Get a single board computer with Rockchip CPU, and you can get in the game too.
I believe the magic in the CPU actually boils down to hardware acceleration, but I haven’t looked into it deeply yet.
The chips are seeing value with gamers who use them to power emulators on SBCs, and with cinephiles binging on 4k video. In these cases, it’s essentially hardware acceleration making it happen. Still, get a lot of bang in a 2.4g chip.
I have 2 SBCs with RK3588 chips, but I haven’t settled on a particular use yet. I think I’ll be exploring low-light imaging with IR, EMF, ultrasound and thermal, but still looking.
People will stack 5-10 SBCs and use them to farm some crap in games. Don’t know what they’re farming, because it’s stupid. The units aren’t pulling enormous amounts of power though. Any impact from AI is going to come from big dogs doing real time procedural work, such as the government, Hollywood and news networks. We’ll get blamed though.
If you’re going to get into SBCs, I would suggest doing so soon. I code as a hobby, and it’s becoming more and more difficult to get source code to manipulate. Build systems are requiring network connectivity, and source is getting prebuilt. You’re time for obtaining a usable build system is shortening.
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