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.
Carbon Footprint
Climate Impact Partners Unveils High-Quality Carbon Credits from Sabah Rainforest in Malaysia
The voluntary carbon market is changing. Buyers are no longer focused only on large volumes of cheap credits. Instead, they want projects with strong science, long-term monitoring, and clear proof that carbon has truly been removed from the atmosphere. That shift is drawing more attention to high-integrity, nature-based projects.
One project now gaining that spotlight is the Sabah INFAPRO rainforest rehabilitation project in Malaysia. Climate Impact Partners announced that the project is now issuing verified carbon removal credits, opening access to one of the highest-quality nature-based removals currently available in the global market.
Restoring One of the World’s Richest Rainforest Ecosystems
The project is located in Sabah, Malaysia, on the island of Borneo. This region is home to tropical dipterocarp rainforest, one of the richest forest ecosystems on Earth. These forests store huge amounts of carbon and support extraordinary biodiversity. Some dipterocarp trees can grow up to 70 meters tall, creating habitat for orangutans, pygmy elephants, gibbons, sun bears, and the critically endangered Sumatran rhino.
However, the forest within the INFAPRO project area was not intact. In the 1980s, selective logging removed many of the most valuable tree species, especially large dipterocarps. That caused serious ecological damage. Once the key mother trees were gone, natural regeneration became much harder. Young seedlings also had to compete with dense vines and shrubs, which slowed the forest’s recovery.
To repair that damage, the INFAPRO project was launched in the Ulu-Segama forestry management unit in eastern Sabah.
- The project has restored more than 25,000 hectares of logged-over rainforest.
- It was developed by Face the Future in cooperation with Yayasan Sabah, while Climate Impact Partners has supported the project and helped bring its credits to market.
Why Sabah’s Carbon Removals are Attracting Attention
What makes Sabah INFAPRO different is not only the size of the restoration effort. It is also the way the project measured carbon gains.

Many forest carbon projects issue credits in annual vintages based on year-by-year growth estimates. Sabah INFAPRO followed a different path. It used a landscape-scale monitoring system and waited until the forest moved through its strongest natural growth period before issuing removal credits.
- This approach gives the credits more weight. Rather than relying mainly on short-term annual estimates, the project measured carbon sequestration over a longer period. That helps show that the forest delivered real, sustained, and measurable carbon removal.
The scientific backing is also unusually strong. Since 2007, the project has maintained nearly 400 permanent monitoring plots. These plots have allowed researchers, independent auditors, and technical specialists to observe the full growth cycle of dipterocarp forest recovery. The result is a large body of field data that supports carbon calculations and strengthens confidence in the credits.
In simple terms, buyers are not just being asked to trust a model. They are being shown years of direct forest monitoring across the project landscape.
Strong Ratings Support Market Confidence
Independent assessment has also lifted the project’s profile. BeZero awarded Sabah INFAPRO an A.pre overall rating and an AA score for permanence. That places the project among the highest-rated Improved Forest Management, or IFM, projects in the world.
The rating reflects several important strengths. First, the project has very low exposure to reversal risk. Second, it has a long and stable operating history. Third, its measured carbon gains align well with peer-reviewed ecological research and independent analysis.
These points matter in today’s market. Buyers have become more cautious after years of debate over the quality of some forest carbon credits. As a result, they now look more closely at durability, transparency, and third-party validation. Sabah INFAPRO’s rating helps answer those concerns and makes the project more attractive to companies looking for credible carbon removal.
The project is also registered with Verra’s Verified Carbon Standard under the name INFAPRO Rehabilitation of Logged-over Dipterocarp Forest in Sabah, Malaysia. That adds another level of market recognition and verification.
A Wider Model for Rainforest Recovery
Sabah INFAPRO also shows why high-quality nature-based projects are about more than carbon alone. The restoration effort supports broader ecological recovery in one of the world’s most important rainforest regions.
Climate Impact Partners said it has worked with project partners to restore degraded areas, run local training programs, carry out monthly forest patrols, and distribute seedlings to support rainforest recovery beyond the project boundary. These efforts help strengthen the wider landscape and expand the project’s environmental impact.
That broader value is becoming more important for buyers. Companies increasingly want projects that support biodiversity, ecosystem health, and local engagement, along with carbon removal. Sabah INFAPRO offers that mix, making it a stronger fit for the market’s shift toward higher-integrity credits.

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Carbon Footprint
Bitcoin Falls as Energy Prices Rise: Why Crypto Is Now an Energy Market Story
Bitcoin’s recent drop below $70,000 reflects more than short-term market pressure. It signals a deeper shift. The world’s largest cryptocurrency is becoming increasingly tied to global energy markets.
For years, Bitcoin has moved mainly on investor sentiment, adoption trends, and regulation. Today, another force is shaping its direction: the cost of energy.
As oil prices rise and electricity markets tighten, Bitcoin is starting to behave less like a tech asset and more like an energy-dependent system. This shift is changing how investors, analysts, and policymakers understand crypto.
A Global Power Consumer: Inside Bitcoin’s Energy Use
Bitcoin depends on mining, a process that uses powerful computers to verify transactions. These machines run continuously and consume large amounts of electricity.
Data from the U.S. Energy Information Administration shows Bitcoin mining used between 67 and 240 terawatt-hours (TWh) of electricity in 2023, with a midpoint estimate of about 120 TWh.

Other estimates place consumption closer to 170 TWh per year in 2025. This accounts for roughly 0.5% of global electricity demand. Recently, as of February 2026, estimates see Bitcoin’s energy use reaching over 200 TWh per year.
That level of energy use is significant. Global electricity demand reached about 27,400 TWh in 2023. Bitcoin’s share may seem small, but it is comparable to the power use of mid-sized countries.
The network also requires steady power. Estimates suggest it draws around 10 gigawatts continuously, similar to several large power plants operating at full capacity. This constant demand makes energy costs central to Bitcoin’s economics.
When Oil Rises, Bitcoin Falls
Bitcoin mining is highly sensitive to electricity prices. Energy is the highest operating cost for miners. When power becomes more expensive, profit margins shrink.
Recent market movements show this link clearly. As oil prices rise and inflation concerns persist, energy costs have increased. At the same time, Bitcoin prices have weakened, falling below the $70,000 level.

This is not a coincidence. Studies show a direct relationship between Bitcoin prices, mining activity, and electricity use. When Bitcoin prices rise, more miners join the network, increasing energy demand. When energy costs rise, less efficient miners may shut down, reducing activity and adding selling pressure.
This creates a feedback loop between crypto and energy markets. Bitcoin is no longer driven only by demand and speculation. It is now influenced by the same forces that affect oil, gas, and power prices.
Cleaner Energy Use Is Growing, but Fossil Fuels Still Matter
Bitcoin’s environmental impact depends on its energy mix. This mix is improving, but it remains uneven.
A 2025 study from the Cambridge Centre for Alternative Finance found that 52.4% of Bitcoin mining now uses sustainable energy. This includes both renewable sources (42.6%) and nuclear power (9.8%). The share has risen significantly from about 37.6% in 2022.
Despite this progress, fossil fuels still account for a large portion of mining energy. Natural gas alone makes up about 38.2%, while coal continues to contribute a smaller share.

This reliance on fossil fuels keeps emissions high. Current estimates suggest Bitcoin produces more than 114 million tons of carbon dioxide each year. That puts it in line with emissions from some industrial sectors.
The shift toward cleaner energy is real, but it is not complete. The pace of change will play a key role in how Bitcoin fits into global climate goals.
Bitcoin’s Climate Debate Intensifies
Bitcoin’s growing energy demand has placed it at the center of ESG discussions. Its impact is often measured through three key areas:
- Total electricity use, which rivals that of entire countries.
- Carbon emissions are estimated at over 100 million tons of CO₂ annually.
- Energy intensity, with a single transaction using large amounts of power.

At the same time, the industry is evolving. Mining companies are adopting more efficient hardware and exploring new energy sources. Some operations use excess renewable power or capture waste energy, such as flare gas from oil fields.
These efforts show progress, but they do not fully address the concerns. The gap between Bitcoin’s energy use and its environmental impact remains a key issue for investors and regulators.
- MUST READ: Bitcoin Price Hits All-Time High Above $126K: ETFs, Market Drivers, and the Future of Digital Gold
Bitcoin Is Becoming Part of the Energy System
Bitcoin mining is now closely integrated with the broader energy system. Operators often choose locations based on access to cheap or excess electricity. This includes areas with strong renewable generation or underused energy resources.
This integration creates both opportunities and challenges. On one hand, mining can support energy systems by using power that might otherwise go to waste. It can also provide flexible demand that helps stabilize grids.
On the other hand, it can increase pressure on local electricity supplies and extend the use of fossil fuels if cleaner options are not available.
In the United States, Bitcoin mining could account for up to 2.3% of total electricity demand in certain scenarios. This highlights how quickly the sector is scaling and how closely it is tied to national energy systems.
Energy Markets Are Now Key to Bitcoin’s Future
Looking ahead, the connection between Bitcoin and energy is expected to grow stronger. The network’s computing power, or hash rate, continues to reach new highs, which typically leads to higher energy use.
Electricity will remain the main cost for miners. This means Bitcoin will continue to respond to changes in energy prices and supply conditions. At the same time, governments are starting to pay closer attention to crypto’s environmental impact, which could shape future regulations.

Some forecasts suggest Bitcoin’s energy use could rise sharply if adoption increases, potentially reaching up to 400 TWh in extreme scenarios. However, cleaner energy systems could reduce the carbon impact over time.
Bitcoin is no longer just a financial asset. It is also a large-scale energy consumer and a growing part of the global power system.
As a result, understanding Bitcoin now requires a broader view. Energy prices, electricity markets, and carbon trends are becoming just as important as market demand and investor sentiment.
The message is clear. As energy markets move, Bitcoin is likely to move with them.
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Carbon Footprint
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