OpenAI confirmed that ChatGPT now attracts 700 million weekly active users, up from around 500 million users in March. ChatGPT has grown four times compared to last year, showing a quick growth in both consumer and business areas.
The surge includes users from free, Plus, Pro, Enterprise, Team, and educational plans. This demonstrates broad AI adoption among individuals, businesses, and schools.
ChatGPT Soars Past 700 Million Weekly Active Users
ChatGPT is one of the fastest-growing online platforms ever. Its natural language skills, wide range of functions, and global workflow integration fuel this growth.
OpenAI’s official figures show ChatGPT’s user base quadrupled in less than a year, as the platform expanded voice, coding, and data tools. This huge growth matches the rising interest in AI tools.

There is a growing demand for virtual assistants. Also, machine learning is being used more in business, education, and media.
The rise of ChatGPT brings not just innovation but also environmental responsibility into focus. As artificial intelligence grows, so does the need for electricity, cooling, and computing power. This raises key questions about carbon emissions, energy use, and water consumption.
ChatGPT’s Environmental Footprint: Carbon, Energy, and Water Use
Let’s look closely at each of these footprints to grasp the chatbot’s environmental impact.
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Carbon Emissions from AI Queries: Emissions per Prompt
Each time a user enters a prompt into ChatGPT, servers housed in large data centers activate to generate a response. While a single query might seem harmless, the emissions can add up quickly when repeated millions—or billions—of times a week.
Recent research shows that each ChatGPT query consumes about 0.3 to 0.4 watt-hours of electricity. Depending on the energy source powering the data center, this results in around 0.15 grams of CO₂ per response.

That’s less than the footprint of a Google search but still meaningful when scaled up. Multiply it by millions of daily queries, and it equates to hundreds of thousands of kilograms of CO₂ emissions per month.
One estimate says ChatGPT might release over 260,000 kilograms of CO₂ each month. That’s like the emissions from 260 round-trip flights between New York and London. This amount would increase even more if users shift to longer or more complex prompts, which require more processing time and energy.
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The Energy Hunger of AI
Energy use is at the core of ChatGPT’s footprint. OpenAI uses powerful servers equipped with GPUs (graphics processing units) or AI accelerators like those from NVIDIA. These systems require large amounts of electricity for both computation and cooling.
To support ChatGPT’s scale—700 million weekly users—OpenAI may be operating thousands of servers running 24/7. Estimates show that daily inference needs more than 340 megawatt-hours (MWh) of electricity. That’s about the same as what 30,000 U.S. homes use in a day.
And that’s just for inference. The training phase of large language models (LLMs) like GPT-3 or GPT-4 uses even more energy.
- Training GPT-3 used 1,287 megawatt-hours of energy. This caused about 550 metric tons of CO₂ emissions. That’s like a car driving 1.2 million miles.
Training newer, larger models—like GPT-4 and beyond—will likely require even more energy. Emissions depend on the energy mix, like renewables versus fossil fuels. Even in the best cases, high-performance computing still uses a lot of energy.

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Water Usage for AI Cooling
One lesser-known but equally important resource consumed by ChatGPT is water. Data centers use water to cool hot-running servers, often in combination with air conditioning. Water either evaporates in cooling towers or comes from nearby freshwater sources. It is then released at higher temperatures.
A study estimates that every 20 to 50 queries to ChatGPT uses about half a liter of water. Most of this water is for cooling the hardware that processes those responses. That means even a casual user engaging with ChatGPT 10 times a day may indirectly use several liters of water per week.
The impact magnifies when considering model training. Training large AI models has used millions of liters of water. This is especially true in dry areas where cooling systems rely more on water than air.
Globally, the AI industry is expected to draw 4.2 to 6.6 billion cubic meters of water per year by 2027 if growth continues at the current pace. That’s equal to the annual water use of several million households.
Prompts, Processors & Power Grids: What Makes AI Greener?
Several factors influence how large or small ChatGPT’s environmental footprint becomes:
Prompt length and complexity:
A short sentence uses far less energy than a long essay or technical code. Complex prompts need more processing power, which raises energy use and emissions. A recent report shows they can use up to 50 times more energy per query.
Model size and efficiency:
GPT-4 and newer models are larger and more powerful than previous versions, but also more energy hungry. Smaller models like GPT-3.5 or distilled versions use less energy. They are great for simple tasks.
Data center location and power source:
Using renewable-powered data centers in cooler climates reduces both carbon and water footprints. Conversely, data centers relying on coal or natural gas contribute more to emissions.
Cooling methods:
Facilities that rely on advanced air-cooling or closed-loop water systems tend to have lower water footprints than traditional open cooling towers.
Here’s a glance at the chatbot’s environmental footprint:
ChatGPT Environmental Footprint

Industry Response: Moving Toward Sustainable AI
OpenAI and other AI leaders are increasingly aware of their environmental responsibilities. Many companies have committed to using renewable energy for data center operations.
Some companies are using carbon offset programs. They are also investing in energy-efficient chips from NVIDIA and AMD, which lower the power needed for each AI query.
Cloud service providers—such as Microsoft (a key OpenAI partner), Google, and Amazon—have all pledged to run their operations on 100% renewable energy by the end of the decade. Some already claim carbon neutrality for select cloud regions, although these claims often rely on offsets.
AI developers are also exploring ways to improve model efficiency, reducing the number of computations needed to produce high-quality responses. This helps not only lower costs but also shrink carbon and water footprints.
Users, too, have a role to play. The community can help lessen the environmental impact of tools like ChatGPT. They can do this by using better prompts, avoiding extra questions, and supporting companies that focus on green AI.
Navigating ChatGPT Use and Sustainability
Clearly, ChatGPT supports billions of interactions with minimal per-query footprint, yet scale causes cumulative environmental impact. Experts now call for more sustainable AI practices, such as:
- Choose concise prompts to reduce processing time and energy.
- Use smaller, more efficient models when possible.
- Developers should deploy energy-efficient hardware and renewable-powered data centers.
- Companies like OpenAI, Google, and Microsoft aim for carbon-neutral operations. However, changing supply chains and inference grid sources is also key.
Some studies point out that certain types of AI prompts—especially long or complex ones—can use up to 50 times more energy than simpler requests. That means user behavior significantly affects environmental costs, making user education part of the solution.
Reducing the carbon and water footprint of ChatGPT is not just an operational concern. It is important for public trust, business use, and following regulations. This is especially true in areas focused on ESG standards.
As ChatGPT’s weekly active users approach 700 million, the opportunity—and responsibility—for sustainable scaling grows. OpenAI should balance bigger server pools and improved models with efficiency.
The post ChatGPT Hits 700M Weekly Users, But at What Environmental Cost? appeared first on Carbon Credits.
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How Climate Change Is Raising the Cost of Living
Americans are paying more for insurance, electricity, taxes, and home repairs every year. What many people may not realize is that climate change is already one of the drivers behind those rising costs.
For many households, climate change is no longer just an environmental issue. It is becoming a cost-of-living issue. While climate impacts like melting glaciers and shrinking polar ice can feel distant from everyday life, the financial effects are already showing up in monthly budgets across the country.
Today, a larger share of household income is consumed by fixed costs such as housing, insurance, utilities, and healthcare. (3) Climate change and climate inaction are adding pressure to many of those expenses through higher disaster recovery costs, rising energy demand, infrastructure repairs, and increased insurance risk.
The goal of this article is to help connect climate change to the everyday financial realities people already experience. Regardless of where someone stands on climate policy, it is important to recognize that climate change is already increasing costs for households, businesses, and taxpayers across the United States.
More conservative estimates indicate that the average household has experienced an increase of about $400 per year from observed climate change, while less conservative estimates suggest an increase of $900.(1) Those in more disaster-prone regions of the country face disproportionate costs, with some households experiencing climate-related costs averaging $1,300 per year.(1) Another study found that climate adaptation costs driven by climate change have already consumed over 3% of personal income in the U.S. since 2015.(9) By the end of the century, housing units could spend an additional $5,600 on adaptation costs.(1)
Whether we realize it or not, Americans are already paying for climate change through higher insurance premiums, energy costs, taxes, and infrastructure repairs. These growing expenses are often referred to as climate adaptation costs.
Without meaningful climate action, these costs are expected to continue rising. Choosing not to invest in climate action is also choosing to spend more on climate adaptation.
Here are a few ways climate change is already increasing the cost of living:
- Higher insurance costs from more frequent and severe storms
- Higher energy use during longer and hotter summers
- Higher electricity rates tied to storm recovery and grid upgrades
- Higher government spending and taxpayer-funded disaster recovery costs
The real debate is not whether climate change costs money. Americans are already paying for it. The question is where we want those costs to go. Should we invest more in climate action to help reduce future climate adaptation costs, or continue paying growing recovery and adaptation expenses in everyday life?
How Climate Change Is Increasing Insurance Costs
There is one industry that closely tracks the financial impact of natural disasters: insurance. Insurance companies are focused on assessing risk, estimating damages, and collecting enough revenue to cover losses and remain financially stable.
Comparing the 20-year periods 1980–1999 and 2000–2019, climate-related disasters increased 83% globally from 3,656 events to 6,681 events. The average time between billion-dollar disasters dropped from 82 days during the 1980s to 16 days during the last 10 years, and in 2025 the average time between disasters fell to just 10 days. (6)
According to the reinsurance firm Munich Re, total economic losses from natural disasters in 2024 exceeded $320 billion globally, nearly 40% higher than the decade-long annual average. Average annual inflation-adjusted costs more than quadrupled from $22.6 billion per year in the 1980s to $102 billion per year in the 2010s. Costs increased further to an average of $153.2 billion annually during 2020–2024, representing another 50% increase over the 2010s. (6)
In the United States, billion-dollar weather and climate disasters have also increased significantly. The average number of billion-dollar disasters per year has grown from roughly three annually during the 1980s to 19 annually over the last decade. In 2023 and 2024, the U.S. recorded 28 and 27 billion-dollar disasters respectively, both setting new records. (6)
The growing impact of climate change is one reason insurance costs continue to rise. “There are two things that drive insurance loss costs, which is the frequency of events and how much they cost,” said Robert Passmore, assistant vice president of personal lines at the Property Casualty Insurers Association of America. “So, as these events become more frequent, that’s definitely going to have an impact.” (8)
After adjusting for inflation, insurance costs have steadily increased over time. From 2000 to 2020, insurance costs consistently grew faster than the Consumer Price Index due to rising rebuilding costs and weather-related losses.(3) Between 2020 and 2023 alone, the average home insurance premium increased from $75 to $360 due to climate change impacts, with disaster-prone regions experiencing especially steep increases.(1) Since 2015, homeowners in some regions affected by more extreme weather have seen home insurance costs increased by nearly 57%.(1) Some insurers have also limited or stopped offering coverage in high-risk areas.(7)
For many families, rising insurance costs are no longer occasional financial burdens. They are becoming recurring monthly expenses tied directly to growing climate risk.
How Rising Temperatures Increase Household Energy Costs

The financial impacts of climate change extend beyond insurance. Rising temperatures are also changing how much energy Americans use and how utilities plan for future electricity demand.
Between 1950 and 2010, per capita electricity use increased 10-fold, though usage has flattened or slightly declined since 2012 due to more efficient appliances and LED lighting. (3) A significant share of increased energy demand comes from cooling needs associated with higher temperatures.
Over the last 20 years, the United States has experienced increasing Cooling Degree Days (CDD) and decreasing Heating Degree Days (HDD). Nearly all counties have become warmer over the past three decades, with some areas experiencing several hundred additional cooling degree days, equivalent to roughly one additional degree of warmth on most days. (1) This trend reflects a warming climate where air conditioning demand is increasing while heating demand generally declines. (4)
As temperatures continue rising, households are expected to spend more on cooling than they save on heating. The U.S. Energy Information Administration (EIA) projects that by 2050, national Heating Degree Days will be 11% lower while Cooling Degree Days will be 28% higher than 2021 levels. Cooling demand is projected to rise 2.5 times faster than heating demand declines. (5)
These projections come from energy and infrastructure experts planning for future electricity demand and grid capacity needs. Utilities and grid operators are already preparing for higher peak summer electricity loads caused by rising temperatures. (5)
Longer and hotter summers also affect how homes and buildings are designed. Buildings constructed for past climate conditions may require upgrades such as larger air conditioning systems, stronger insulation, and improved ventilation to remain comfortable and energy efficient in the future. (10)
For many households, this means higher monthly utility bills and potentially higher long-term home improvement costs as temperatures continue to rise.
How Climate Change Affects Electricity Rates
On an inflation-adjusted basis, average U.S. residential electricity rates are slightly lower today than they were 50 years ago. (2) However, climate-related damage to utility infrastructure is creating new upward pressure on electricity costs.
Electric utilities rely heavily on above-ground poles, wires, transformers, and substations that can be damaged by hurricanes, storms, floods, and wildfires. Repairing and upgrading this infrastructure often requires substantial investment.
As a result, utilities are increasing electricity rates in response to wildfire and hurricane events to fund infrastructure repairs and future mitigation efforts. (1) The average cumulative increase in per-household electricity expenditures due to climate-related price changes is approximately $30. (1)
While this increase may appear modest today, utility costs are expected to rise further as climate-related infrastructure damage becomes more frequent and severe.
How Climate Disasters Increase Government Spending and Taxes
Extreme weather events also damage public infrastructure, including roads, schools, bridges, airports, water systems, and emergency services infrastructure. Recovery and rebuilding costs are often funded through taxpayer dollars at the federal, state, and local levels.
The average annual government cost tied to climate-related disaster recovery is estimated at nearly $142 per household. (1) States that frequently experience hurricanes, wildfires, tornadoes, or flooding can face even higher public recovery costs.
These expenses affect taxpayers whether they personally experience a disaster or not. Climate-related recovery spending can increase pressure on public budgets, emergency management systems, and infrastructure funding nationwide.
Reducing Climate Costs Through Climate Action
While this article focuses on the growing financial costs associated with climate change, the issue is not only about money for many people. It is also about recognizing our environmental impact and taking responsibility for reducing it in order to help preserve a healthy planet for future generations.
While individuals alone cannot solve climate change, collective action can help reduce future climate adaptation costs over time.
For those interested in taking action, there are three important steps:
- Estimate your carbon footprint to better understand the emissions connected to your lifestyle and activities.
- Create a plan to gradually reduce emissions through energy efficiency, cleaner technologies, and more sustainable choices.
- Address remaining emissions by supporting verified carbon reduction projects through carbon credits.
Carbon credits are one of the most cost-effective tools available for climate action because they help fund projects that generate verified emission reductions at scale. Supporting global emission reduction efforts can help reduce the long-term impacts and costs associated with climate change.
Visit Terrapass to learn more about carbon footprints, carbon credits, and climate action solutions.
The post How Climate Change Is Raising the Cost of Living appeared first on Terrapass.
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