The battle between OpenAI’s ChatGPT and Google’s Gemini is one of the most talked-about stories in technology today. These two artificial intelligence (AI) chatbots dominate the market for generative AI tools. They power smart responses, summaries, writing help, and more.
As users and businesses rely on AI more, questions about market competition and environmental impacts have grown. This article compares the two leaders in terms of market share, energy use, carbon footprint, and water consumption to give a clear picture of where the AI landscape stands in 2026.
Market Share: Where ChatGPT and Gemini Stand
As of early 2026, ChatGPT still leads the AI chatbot market. ChatGPT has around 68% of the market share based on visits and user interactions. This is less than its previous dominance.
In comparison, Google Gemini accounts for about 18.2% of the market share, showing rapid growth over the past year. This shift marks a major change in how users choose AI tools worldwide.
ChatGPT has maintained a large user base with around 800-900 million weekly active users and billions of monthly visits. But Gemini is also growing fast. Its user numbers have increased as Google adds it to more services.

Other AI platforms, such as DeepSeek, Grok, Perplexity, and Claude, hold smaller shares of the market but are growing in niche areas. ChatGPT and Gemini lead the global chatbot market. This shows a duopoly trend, with two main players in control.
The market positions of ChatGPT and Gemini reflect their different strategies. OpenAI built ChatGPT as a standalone AI platform with powerful language skills. It became popular early and gained millions of users quickly.
Google, meanwhile, embedded Gemini into search engines, Android devices, and other Google apps. This gives Gemini a wide reach, helping it grow faster in recent years as users encounter it automatically.
For users, this means choice. Some prefer ChatGPT’s deep text-generation and creative outputs. Others choose Gemini for quick answers tied to search and Android use.
As both platforms grow, competition will likely push innovation in AI quality, safety, and usefulness. And for climate-conscious and environmentalists, this means taking a closer look at the platforms’ growing energy use, carbon emissions, and water use.
AI’s Energy Footprint: Data Centers and Electricity
As AI use expands rapidly, the energy footprint of the technology has become an important topic. AI models like ChatGPT and Gemini run on large networks of servers housed in data centers. These facilities use electricity to power computing tasks and to keep equipment cool.
In 2024, data centers used around 415 terawatt-hours (TWh) of electricity. This is about 1.5% of the world’s total electricity consumption. AI workloads are a growing part of this total.
- The International Energy Agency predicts that data center electricity use may double to around 945 TWh by 2030.
This increase comes as AI and other digital services grow. Another research shows the same trend:

AI electricity use varies by task. Training large models—such as initial versions of GPT and other deep learning systems—can consume very large amounts of power. For example, training early large language models used tens of gigawatt-hours of electricity.
- Running the model for user queries (called inference) uses much less energy per request but occurs far more frequently.
In a direct comparison of per-prompt energy use, Google found that a typical Gemini text prompt consumes about 0.24 watt-hours (Wh) of electricity. This is roughly equivalent to the energy used by a small household device running for a few seconds.
ChatGPT queries, on the other hand, use about 0.34 Wh of electricity. That’s similar to running a lightbulb for a short time. This makes per-query energy costs relatively low but still significant when scaled to billions of daily uses. Over time, improvements in hardware and software have greatly reduced energy and carbon use per prompt.

Carbon in the Cloud: Emissions of AI Systems
Carbon emissions from AI are tied closely to electricity use. Where the electricity comes from—renewable sources versus fossil fuels—greatly affects emissions. Data centers powered by coal or gas produce more carbon than those using wind, solar or hydroelectric power.
Global AI and data centers are currently responsible for a small but growing share of carbon emissions. Combined data center emissions contribute to the broader trend of digital technologies impacting climate change.
Projections show that by 2035, AI’s carbon footprint may vary greatly. This depends on future energy mixes and how AI is deployed. Estimates suggest possible annual emissions ranging from 300 to 500 million tonnes of CO₂ by the mid-2030s. The exact share attributable to AI specifically will vary based on how much AI workloads grow within overall data center use.
ChatGPT and Google’s Gemini differ in their carbon footprints per query. A typical ChatGPT query generates about 0.15 grams of CO₂ per text prompt. In comparison, a typical Google Gemini query emits around 0.03 grams of CO₂ per prompt. This means Gemini’s per-query carbon footprint is about five times lower than ChatGPT’s based on current estimates.

Both companies promise to cut carbon intensity. They plan to do this by improving data center efficiency, buying renewable energy, and upgrading hardware.
For example, Google reported dramatic reductions in energy and carbon footprints for Gemini queries over a one-year period due to efficiency gains and cleaner energy sourcing.
Cooling Costs: Water Use in AI Data Centers
Water consumption is another environmental concern for AI because data centers use water for cooling. Keeping servers cool in large facilities often requires water-cooled systems, especially in warmer climates.
Global AI-related water withdrawal has been rising. Estimates suggest that AI data centers might use 4.2–6.6 billion cubic meters per year by 2027, which is equivalent to 4.2–6.6 billion tonnes of water. This amount is similar to the yearly water use of medium-sized countries.
At the individual query level, water use is very small. For example, OpenAI’s CEO has stated that a single ChatGPT query uses about 0.000085 gallons of water (or ~0.32 ml)—a tiny amount comparable to a few drops. But at scale, with billions of queries each day, total water demand becomes significant in the context of data center cooling systems.
Google’s data reveals that a typical Gemini text prompt uses about 0.26 milliliters of water. That’s about the same as a few drops, considering data center operations.
The Bigger Picture: AI’s Environmental Footprint
AI’s environmental footprint extends beyond individual models and queries. Data centers are expanding rapidly because of increased AI adoption and other online services. Data center electricity use might reach almost 3% of global demand by 2030. This growth highlights the importance of sustainable practices in the tech industry.
While per-query energy and carbon figures can seem small, the aggregate impact of billions of daily AI interactions adds up. Power use and cooling needs can stress local energy grids and water supplies. This happens if companies don’t use renewable sources and efficient technologies.
Major tech companies have made public commitments to use renewable energy and improve energy efficiency at data centers. Experts say that real transparency in environmental impacts needs better reporting. It also requires standardized metrics throughout the AI industry.
So, Who Wins the AI Race?
In the AI chatbot market, ChatGPT continues to lead with about 68% market share in 2026, while Google’s Gemini holds approximately 18.2% and is growing fast. Their competition reflects differences in strategy, reach, and integration into broader technology ecosystems.

On environmental performance, both AI systems contribute to energy use, carbon emissions, and water consumption through data centers. Per-query measurements such as 0.24–0.30 Wh of electricity and tiny amounts of water per request show that individual impacts are small.
However, the aggregate resource use of running AI at scale is significant and growing. Global demand for electricity in data centers is expected to rise sharply by 2030. Water use might also increase as AI adoption expands.
Understanding these footprints and market dynamics helps users, developers, and policymakers see the costs and benefits of AI. AI tools like ChatGPT and Gemini will keep changing tech markets. They will also influence talks about sustainability in our digital world.
- MUST READ: AI Drives a Transformative Wave in Global Data Centers – and Energy Is the Real Bottleneck
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Carbon Footprint
Verra to Launch Scope 3 Standard in 2026: A New Era for Value Chain Carbon Tracking
The post Verra to Launch Scope 3 Standard in 2026: A New Era for Value Chain Carbon Tracking appeared first on Carbon Credits.
Carbon Footprint
Oil Shock Ignites Chinese EV Export Surge Around the World
Rising global oil prices are driving up demand for electric vehicles (EVs), with Chinese brands emerging as key beneficiaries. Recent spikes in crude prices are driven by heightened tensions in the Middle East and disruptions in the Strait of Hormuz, a critical oil shipping route.
These factors have pushed Brent crude above $100 per barrel and created instability in fuel markets. This has pushed many consumers to rethink fuel costs and consider EV alternatives. Higher fuel prices increase running costs for gasoline and diesel cars, making EV ownership more economical in many markets.
Chinese EVs Gain Speed Abroad
Dealers in countries like Australia and parts of Southeast Asia see growing interest in Chinese EVs. This rise comes as fuel prices increase.
Showrooms selling Chinese new energy vehicles (NEVs) are seeing more test drives, customer inquiries, and rising order volumes. In Australia, the EV market share hit a record high of 11.8% for vehicle sales. Analysts say this jump is partly due to rising petrol prices.
Chinese manufacturers like BYD, GWM, and Chery are rapidly growing abroad. Some dealers see more walk-ins and more customers buying EVs.
China’s EV industry is now the largest in the world. In 2024, Chinese automakers produced over 12.87 million plug‑in electric vehicles (PEVs), including battery electric (BEV) and plug‑in hybrid models, accounting for nearly 47.5% of total automobile production. That figure marked a strong year‑on‑year rise and underscored China’s industrial scale and export readiness.

By late 2025, more than 51% of all new vehicles sold in China were electric — a major shift from just a few years earlier.
This domestic scale provides an export advantage. Chinese EVs often cost less than similar European and North American models. This helps them succeed in markets where fuel costs hit household budgets hard.
Fuel Costs Drive Behavior Shift
Rising oil prices are a major driver of these sales trends. Global crude prices have fluctuated due to geopolitical tensions. The Strait of Hormuz route carries around 20% of the world’s oil trade. These disruptions pushed crude prices sharply higher in early 2026.
In many countries, higher retail fuel prices translate into more immediate cost pressures for consumers. Reports from countries like Australia show petrol prices over $2.50 per litre. This rise is making consumers think about EVs to lower long-term costs.
Global EV Market Trends and Forecasts
The surge in Chinese EV exports aligns with broader global trends. Major industry forecasts suggest that global sales of battery electric and plug-in hybrid vehicles may top 22 million units by 2025. This could represent about 25% of all new car sales worldwide.
Global electric vehicle sales in 2025 reached nearly 21 million units, including both battery electric vehicles and plug‑in hybrid electric vehicles. This total represents a significant increase, roughly 20 % more than in 2024.
China’s share in this global growth is large. In 2024, Chinese manufacturers made up around 70% of all EV exports. This shows China’s key role in supply chains and manufacturing.
As oil demand growth slows due to EV uptake, some forecasts suggest that EVs could displace millions of barrels of global oil demand each day in the coming decade. By 2030, EV adoption could cut about 5 million barrels per day of oil use, according to major energy outlooks.
Trade Barriers vs Expansion
Despite strong export gains, barriers remain. Some regions have imposed tariffs and trade restrictions on Chinese EVs, and infrastructure gaps in charging networks can slow adoption. For example, tariffs exceeding 100% on certain Chinese EV imports in the U.S. have limited market share there.
However, Chinese OEMs are developing supplier and shipping capacity to support overseas demand. In 2025, China’s electric car makers expanded shipping through roll‑on/roll‑off carriers capable of transporting more than 30,000 vehicles, improving export logistics.
Emerging markets in Southeast Asia, Latin America, and Oceania are also showing rising EV interest. In the Philippines and Vietnam, dealerships see EV orders growing quickly. Some are even doubling their weekly sales, thanks to high fuel costs.
In India, where oil imports make up a big part of the economy, rising petrol costs make running traditional fuel vehicles more expensive. This has helped boost interest in electric vehicles, which are cheaper to operate when fuel is costly. Notably, the share of ICE retailers fell by over 25% in March.

Indian consumers and businesses view EVs as a way to shield against unstable oil prices. This also helps lower fuel costs, supporting the country’s move to electric transport.
What This Means for Energy and Transport Futures
The convergence of high oil prices and strong EV supply from China is creating a feedback loop. Higher fuel costs push consumers to consider EVs more seriously. Chinese manufacturers are well positioned to fill that demand with competitive pricing and large production scale.
The shift could speed up the move from fossil fuel cars to electric vehicles worldwide. This is especially true in price-sensitive and emerging markets. EV adoption also has implications for oil demand trends.
- As battery and charging tech get better and EV markets grow, oil use — especially in transport — might slow down or peak sooner than we thought.
At the same time, governments and industry groups are tracking these shifts closely. Policies that support charging infrastructure, EV incentives, and emissions standards will influence how quickly the global fleet electrifies.
Ultimately, the current oil price shock may have sparked a shift in global automotive markets — one where Chinese EVs take an increasingly central role in transport electrification worldwide.
The post Oil Shock Ignites Chinese EV Export Surge Around the World appeared first on Carbon Credits.
Carbon Footprint
Texas Solar Market Heats Up with Meta and Google Investments
The U.S. is witnessing a surge in utility-scale solar development, driven by growing corporate demand for clean energy. Major tech companies like Meta and Google are securing long-term deals in Texas, combining renewable energy growth with economic and grid benefits.
This trend highlights how corporate commitments are shaping the future of the clean energy transition. Let’s find out.
Zelestra and Meta’s $600 Million Solar Deal
Madrid-based renewable energy firm Zelestra secured a massive $600 million green financing facility, signaling strong investor confidence in utility-scale solar. The funding, backed by Société Générale and HSBC, will support two large solar projects in Texas—Echols Grove (252 MW) and Cedar Range (187 MW).
These projects are not standalone efforts. Instead, they are part of a broader clean energy partnership with Meta, one of the world’s largest corporate renewable energy buyers. Together, they form a portion of a seven-project portfolio totaling 1.2 GW under long-term power purchase agreements (PPAs).
Sybil Milo Cioffi, Zelestra’s U.S. CFO, said:
“This financing marks a significant milestone in the delivery of our largest U.S. solar projects to date. It reflects strong confidence from Societe Generale and HSBC in our strategy and execution capabilities and reinforces our ability to attract first-class capital to support our growth platform in the U.S. market.”
Zelestra is strengthening its presence in the U.S. energy market with innovative solutions for hyperscalers and corporate clients. It is developing around 15 GW of renewable projects across key markets. In February 2026, BloombergNEF ranked Zelestra among the top 10 PPA sellers to U.S. corporations.
Solar Powering Meta’s Climate Strategy
Meta continues to aggressively expand its clean energy footprint. The company has made renewable energy procurement a core part of its climate roadmap—and the numbers clearly reflect that shift.
In 2024, Meta reported emissions of 8.2 million metric tonnes of CO₂e after accounting for clean energy contracts. In comparison, its location-based emissions stood at 15.6 million tonnes. This marked a sharp 48% reduction, largely driven by renewable energy purchases.
Moreover, the company has consistently maintained momentum:
- Since 2020, it has matched 100% of its electricity consumption with renewable energy.
- Over the past decade, it has secured more than 15 GW of clean energy globally.
- Overall, renewable energy procurement has helped cut 23.8 million MT CO₂e emissions since 2021.
As a result, Meta cut operational emissions by around 6 million tonnes in 2024 alone. At the same time, it tackled value chain emissions using Energy Attribute Certificates (EACs), reducing Scope 3 emissions by another 1.4 million tonnes.

Most of these deals were concentrated in the U.S., highlighting the country’s growing importance in corporate decarbonization strategies.
Importantly, this collaboration goes beyond just energy supply. It also aims to deliver broader economic benefits, including:
- Local job creation during construction
- Long-term tax revenue for the region
- Continued investment in local infrastructure
David Lillefloren, CEO at Sunraycer, said:
“These agreements with Google represent a significant milestone for Sunraycer and underscore the strength of our development platform. We are proud to support Google’s clean energy objectives while delivering high-quality renewable infrastructure in Texas.”
Additionally, the deal was facilitated through LevelTen Energy’s LEAP process, which simplifies and speeds up PPA execution. This highlights how innovative platforms are now playing a key role in scaling renewable deployment.
“Google’s data centers are long-term investments in the communities we call home,” said Will Conkling, Director of Energy and Power, Google. “This collaboration with Sunraycer will fuel local economic growth while helping to build a more robust and affordable energy future for Texas.”
Google, like Meta, has built a strong clean energy portfolio over time. Since 2010, it has signed over 170 agreements totaling more than 22 GW of capacity worldwide. Its long-term ambition is even more ambitious—achieving 100% carbon-free energy, every hour of every day, by 2030.
Why Texas Is Becoming the Center of Energy Transformation
All these developments point to one clear trend—Texas is rapidly becoming a global hub for clean energy and data center growth.
On one hand, the state offers strong solar resources, vast land availability, and a deregulated power market. On the other hand, it is witnessing a surge in electricity demand, especially from data centers and AI-driven workloads.
According to projections from the EIA, U.S. electricity demand could rise by 20% or more by 2030. Data centers are expected to play a major role in this growth. In fact, energy consumption from data centers increased by over 20% between 2020 and 2025.

As a result, energy infrastructure in Texas is facing growing pressure. Rising industrial activity, extreme weather events, and rapid digital expansion are all contributing to grid stress. Yet, at the same time, this demand is driving unprecedented investment in renewable energy.
The EIA expects Texas to lead solar expansion in the coming years, accounting for nearly 40% of new solar capacity in the U.S. California will follow closely, and together, the two states will drive almost half of total additions.

Even though the sector has faced temporary slowdowns, the long-term outlook for U.S. solar remains highly positive.
In 2025, the U.S. added 53 GW of new electricity capacity—the highest annual addition since 2002. Notably, wind and utility-scale solar together generated 17% of the country’s electricity, a massive jump from less than 1% two decades ago.

Looking ahead, growth is expected to accelerate again. Developers are planning to add around 86 GW of new capacity in 2026, which could set a new record. Solar alone is projected to account for more than half of this expansion.
Breaking it down further:
- Solar is expected to contribute 51% of new capacity
- Battery storage will make up 28%
- Wind will account for 14%
Utility-scale solar capacity additions could reach 43.4 GW in 2026, marking a 60% increase compared to 2025 levels.
Analysis: Corporate Demand Is Reshaping Energy Markets
Overall, the developments from Zelestra, Meta, Google, and Sunraycer highlight a broader transformation underway in global energy markets.
First, corporate buyers are no longer passive participants. Instead, they are actively shaping energy infrastructure through long-term PPAs. These agreements provide stable revenue for developers while ensuring a clean power supply for companies.

Second, financing is becoming more accessible. Large-scale funding deals, like Zelestra’s $600 million facility, show that banks are increasingly willing to back renewable projects with strong contractual support.
Third, regions like Texas are emerging as strategic energy hubs. The combination of rising electricity demand and favorable renewable conditions is attracting both developers and corporate buyers.
However, challenges remain. Grid reliability, permitting delays, and policy uncertainty could still impact the pace of deployment. Even so, the overall trajectory remains clear.
Clean energy demand is rising fast. Big Tech is leading the charge. And solar power is set to play a central role in meeting future electricity needs.
- READ MORE: Meta, Amazon, Google, and Microsoft Dominate Clean Energy Deals as Global Buying Slips in 2025
The post Texas Solar Market Heats Up with Meta and Google Investments appeared first on Carbon Credits.
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