AI IS DANGEROUS
It is now well established that AI data centers are unpopular nationally and especially in the communities where they are sited. They are noisy, overly illuminated. They generate pollution from back up generators, use local water sources for cooling, take over farm land and cut down forests for expansion. But most egregiously they jack up cost of local electric bills by their outsized use of electrical power. Perhaps a better description of their electrical use is “unsustainable” amounts of electricity.
A simple query on AI uses only three tenths of one watt hour in electricity to provide a n answer for that query. ( That amount is 0.3 Wh* or in kilowatts: 0.0003 kWh). That amount of electrical power is equivalent to running a 60 W light bulb for about 17 seconds. More complex requests, such as AI drafting or generating a student’s 1000 word report may use about 2.5 kWh. That amount is equivalent to the electricity needed to power a standard 10-watt LED bulb for 15 minutes or a kitchen microwave for 8 to 10 seconds, or enough electricity to charge a smartphone up to 13% of its total charge. This all seems relatively innocuous and non-threatening.
But: AI companies receive huge numbers of queries. For example, Google processes about 10 billion (10,000,000,000) queries per day.
Even if we were to look at only simple AI queries, like the example above, using only 0.0003kWh each, when one examines the daily demand, the electrical power drain even for simple queries becomes huge. So let’s multiply that by typical Google usage per day—by the amount of electrical power for a simple query—“Who won the 2026 Triple Crown Race?” Usage for that form of query if it were the only type for one Google day would be:
0.0003 kWh x 10,000,000,000 queries = 3,000,000 kWh of electrical energy per day. (Note 3,000,000 kWh equals 3,000MW)
How might 3,000 megawatts (3,000 MW) of electrical power per day be used other than for AI?
That amount of electrical power would power up @ 300 average US homes for about a year, or small town or city of 100,000 people for a year, or a medium to large manufacturing plant.
That is the energy cost for using AI for simple basic (let’s say “trivial”) purposes. In the past prior to addiction to iPhones and AI access, to get that answer we might have simply opened a dictionary on our desk, used a set of encyclopedia, our home library, or perhaps visited our local library.
But in queries where AI needs to use advanced “reasoning” electrical power demand can jump the load up to 33-40 Wh per query. Under those circumstances usage would skyrocket to 45,000MW per day vs the 3,000MW figure.
We use AI so innocently and carelessly, and almost all are unaware of the electrical costs of AI and the longer term impact of such massive consumption of electrical energy will have on our economy, society and environment. This in the face of the evidence of the expanding use in industry, medicine, academia and most egregiously in military applications.
What is frightening is that AI is not only a plaything for the curious and carefree but has huge potential demand in industry and in the military industrial complex. For example, recent reports indicate that a major Japanese shipbuilding company is seeking contracts with Nvidia to develop robotic systems to be incorporated into its shipbuilding plants in Japan. Japan is a =nation where industry is facing decline based on shrinking tiger population due to Japanese immigration restrictions and an aging worker population. But even more insideous is its military applications. Such uses have essentiually unlimited financial support based on so called “defense” expenditures. Major militarised nations such as China, USA and Russia (and highly militarized tiny Israel too). These are demands for services that will not be modulated by normal democratic government processes since they come with the claim—its for “national defense”.
Said in another way…The US and China are locked into a deadly competition over advanced chips and AI development for military purposes. Even if domestic use were to stabilize —these business and military uses are related to existential elements in geopolitics and business that will not be denied.
That means that whether we like it or not…there is today a desperate military and business demand for this product that will expand exponentially and will commandeer vast amounts of electrical power, water, natural resources and fossil fuels.
As a result of its heavy demand for energy the environmental impact of AI could be staggering. Diversion of energy reserves to this one sphere of activity,-particularly those which claim to be for national defense would cause runaway global warming.
Plans are already afoot, as a sop to those who object to this source of threat—to serve needed your to data centers by expanding use of dangerous nuclear power, as well as installation of micro, on-site nuclear power units, which would simply expand the potential for nuclear accidents. In addition these demands would engender wider use of all fossil fuels to power these data centers. China with its massive coal resources would certainly use coal if it would be necessary. Other plans call for siting massive data centers in the Middle East where fossil fuels are cheap and readily extracted. But whether we burn fossil fuels in USA or Saudi Arabia we get the same impact from CO2 gas in our atmosphere….increased adsorption of infrared radiation from the Sun-warmed Earth surface and higher air temperatures. All of these impacts could have drastic effects on the environment and on the need to modulate fossil uses to save the planet from the “Venusian CO2” anthropogenic global warming.
The sources of energy are finite, we have only so much to serve our expanding 9+billion population…excessive use inn only one part of the system would limit that available to the would have its impact on the globe as a whole. This is known as the zero sum resource allocation rule. If AI consumes more energy for its use there is correspondingly less energy available for other essential human processes everyday human needs. But their answer is to claim efficiency increases as they invest in larger sources of energy production such as nukes, solar, etc. which by rapidly growing the power grid may tend to avoid canabalizing of power neded for human needs. But the laws of Nature can not be altered, Conservation of Mass and Energy do not change even for AI
The future does not look promising. What to expect from a future with expanded militarized AI are circumstances with humans out of work while robots take up jobs, and with all forms of energy scarce and expensive. Expect water sources to be limited and polluted. Citizens out of work, often cold in winter and too warm in summer are not content with their lot or with their government. Angry citizens (as in France and other parts of Europe today) readily join in violent riots. These uprisings become more common as conditions deteriorate. Powerful modern governments with AI and robots will establish a modern police state first to deal with uprisings and violence and then will simply accept the AI rationalized staus quo.
Not a future I would hope for….
*A watt is a measure of energy . A watt hour measures the amount of energy consumed over the period of one hour. A100 watt light bulb in use for an hour consumes 100 watt hours (100Wh, or 0.1 kilowatt hours (0.1kWh) of energy.
A amps x V voltage = W watts