This article discusses how people globally are paying for AI services through taxes or utility bills, often without choice. AI infrastructure is causing a sharp rise in electricity bills, notably in the United States.
United States
This is due to the massive demand for data centres needed to power AI services, which require significant computing power.
These data centres, with their server racks and hardware, consume substantial electricity and water, contributing to environmental concerns. Americans are currently facing the costs. A PBS interview with an expert from the Harvard Law School Electricity Law Initiative noted that the expansion of AI data centres is driving up electricity prices nationwide. Average increases are around 6%, with some areas like New Jersey and New York seeing rises as high as 14%. These numbers are expected to climb further as data centres rapidly expand and more AI services are deployed.
A key question is how these multi-billion dollar and multi-trillion dollar companies are impacting consumers’ electricity bills. The existing utility business model, over a century old, spreads infrastructure costs across all customers in a service area. This historical approach is deemed unfair when applied to funding multi-billion dollar AI companies’ massive energy needs, forcing everyday citizens to pay for services they may not want.
United Kingdom
The UK also faces similar issues, with new AI investments driving up bills and impacting the climate and energy grid. Critics point out the government’s lack of planning for the energy sector’s strain.
Ireland
Social inequalities are exacerbated locally, as seen in Virginia and Dublin, Ireland, where communities complain about excessive water use and energy strain from data centres, leading to rising costs for low-income households.
Mexico
This problem is global; Central Mexico is emerging as an AI data centre hub, facing issues like the worst drought in a century. During this time, Microsoft’s local data centres reportedly consumed 40 million litres of water.
South Korea
In South Korea, tax dollars are directly funding AI through incentives. The government plans to invest $7.25 billion in the sector, a massive increase. This includes $5.4 billion for expanding AI infrastructure, purchasing 15,000 GPUs, and training 11,000 students and 24 graduate schools. Additionally, AI startups will receive $270 million to accelerate their growth.
In South Korea, this increased AI spending comes at a cost, as the nation’s debt-to-GDP ratio has risen above 50% for the first time. Despite citizens facing financial strain, the government is providing tax breaks and major funding to corporations for AI investment.
Japan
Japan is following a similar path with a $65 billion commitment to AI through 2030, including $13.2 billion allocated for 2024 and 2025. This uses Japanese taxpayers’ money to fund corporate AI development. What is unique in Japan is the focus on developing AI services in-house (within the country), rather than relying on foreign companies like Microsoft. This strategy aims for local self-sufficiency but involves massive, potentially unsustainable spending. For example, the government will fund a $470 million AI supercomputer, split among five local companies, providing huge tax breaks and grants to domestic AI startups.
While the aim is to boost local industry, the question remains whether citizens have a say in this spending, especially given global economic difficulties.
Compounding this, Japan has largely scrapped strong AI regulations and governance measures. This move gives corporations free rein to collect and use citizen data with minimal oversight, relying on periodic, often superficial, compliance checks.
The Solution
Dealing with the global spread of AI costs to consumers is difficult, as simply moving to a country that doesn’t place the cost on citizens isn’t a viable option. However, collective action can make a difference.
The first step is to contact your local political representative to express dissatisfaction with your tax dollars funding corporate AI development. If enough people complain, it could prompt change, so don’t assume your single letter won’t matter.
The second action is to stop using AI services you are forced into or don’t want. For example, if a service like Office 365 mandates the use of AI tools like Copilot, which scan your files, cancel the subscription. Corporations like Microsoft have a poor record with privacy. Consider switching to free open-source alternatives like LibreOffice, it’s what I did and I couldn’t be happier and I’m saving money.
Also, avoid free or subscription-based AI services where the cost is your personal data. Instead of corporate cloud storage, you can set up a personal cloud using a USB drive plugged into your router.
For necessary AI tasks, such as re-drafting website articles, you can use anonymous services like publicai.co (from Switzerland). This service is transparent, requires no login or account, and commits to not selling user data. By refusing to use major corporate AI, you limit the data they can collect and monetise.
