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
The post ChatGPT vs. Gemini: Who Leads the AI Race and at What Environmental Cost? appeared first on Carbon Credits.
Carbon Footprint
McKibben opts for a small-tent climate movement
A few months ago I went to a climate change forum at the Center for Brooklyn History. The panel I attended, “Confronting Climate Change: Understanding Deniers,” featured the prominent climate activist, Bill McKibben.
Bill McKibben. Courtesy https://billmckibben.com/.
I was curious to hear McKibben’s take on climate change deniers. I don’t regard the true deniers as a big problem – they’re only 11-15% of our country, according to most polls. Rather, I wondered if McKibben would label as “climate deniers” people who agree that climate change is a significant problem but disagree with his framing and his proposed solutions. I have worked for decades on energy and climate matters as an energy lawyer. Now, more than ever, I believe that to address climate change we need to build a big tent.
In the Q&A I tested where McKibben is on this by asking if he would label as a climate denier someone who subscribes to the main tenets of climate change science yet holds that natural gas has a role to play as a bridge fuel. (Our exchange starts at 1:12:45 of the video.)
This could have been a chance for McKibben to make clear that such a view isn’t climate denialism, even if he feels it’s misguided. But he punted, saying “I don’t care whether they’re deniers or not.” For good measure, he threw in his long-standing refrain that swapping coal for natural gas makes climate change worse, despite coal’s far higher carbon content per unit of energy.
674-MW methane-powered generating station, Salem, MA.
As you can hear in the recording, McKibben’s claim that gas is worse than coal draws on the work of Cornell scientist Robert Howarth. Yet McKibben didn’t mention that Howarth’s work is controversial and disputed by many scientists. The crux of the dispute is whether methane’s impact on warming should be measured with a 20-year or 100-year time frame.
Methane is a relatively short-lived greenhouse gas, with a lifetime of around 10 years, versus the 100-year life applicable to carbon dioxide. But each ton of methane is far more potent while in the atmosphere, trapping roughly 100 times as much heat as a ton of CO2. These cross-cutting facts about atmospheric methane — shorter life but greater potency than CO2 — have resulted in two opposing camps: one insisting on a 20-year timeframe for greenhouse gas accounting, the other adhering to the established 100-year frame. This matters because with a 20-year timeframe, generating electricity with natural gas (which, chemically speaking, is essentially all methane) is more damaging to climate than coal-fired electricity.
McKibben blew past this dispute. To hear him at the Center for Brooklyn History, one would have no inkling that there’s an active disagreement over which timeframe to use, that there are staunch climate activists who favor the 100-year time frame, and that the Intergovernmental Panel on Climate Change (IPCC) generally uses the 100-year timeframe.
McKibben’s latest (2025) book. Published by W.W. Norton & Company.
McKibben also insisted that a discussion about natural gas’s potential role in mitigating climate change as a replacement for coal is irrelevant because solar “is now our cheapest resource.” McKibben’s claim, of course, suffuses “Here Comes the Sun,” his 2025 book that extols solar power as the cheapest solution for all of our energy needs. But this too is questionable, because it’s based on cost comparisons between solar farms and natural gas power plants (or nuclear power plants) that fail to consider that electricity supply and delivery is a complex system of wires and plants rather than individual power plants. Based on his remarks, McKibben is choosing to ignore studies such as the comprehensive 2025 report from the Clean Air Task Force that concluded that plant-level cost comparison “is a good metric to track historical technology cost evolution [but] is not an appropriate tool to use in the context of long-term planning and policymaking for deep decarbonization.” And the task force is not alone in finding that when electricity is treated as a system, solar loses its place as the cheapest low-carbon resource.
The dogmatism McKibben displayed at the Brooklyn meeting was unfortunate. We’re in a time when efforts to combat climate change are in retreat. A unified front is required to turn the tide. Instead of doubling down on absolutist positions, activists like McKibben who seem convinced that the solution to climate change is all-renewables, end of discussion, should be seeking common ground with others who want climate action but believe that nuclear power and natural gas must also play a role.
NYC Climate March, Sept 17, 2023. Photo: C. Komanoff.
Climate change activists need to build a bigger tent, rather than call anyone who disagrees with their positions a climate change denier. It is striking that McKibben stuck to his guns after saying in the same talk that the most important goal for everyone right now is to help climate change realists win more House and Senate seats in this year’s midterms. As some have noted, an absolutist position on natural gas appears less likely to achieve that win and politicians are following that advice.
Will McKibben evolve? He has demonstrated that he knows how to build a national climate movement centered around issues like divestment. Given the current political situation, he should focus on building an even bigger tent by welcoming all of the 85% who believe that we need to address climate change but do not agree with his ideological positions.
Rich Miller is an energy lawyer who has worked for a variety of stakeholders and now gives walking tours in lower Manhattan on the history of electricity.
Carbon Footprint
Rebranding ‘Balcony Solar’ as ‘Guerrilla Solar’ won’t lift its climate value.
Image generated with Claude. Why have we juxtaposed a bicycle with balcony solar? Read on.
First it was Plug-In Solar. Then it was Balcony Solar. Now it’s Guerrilla Solar, at least according to Inside Climate News, which yesterday proclaimed that The ‘Guerrilla Solar’ Era Has Arrived.
“It,” of course, is Modular solar panels. They’re the hot new photovoltaic solution: cheap enough to buy at Home Depot, easy to hang or prop to catch maximum rays, and small enough to fit on a balcony (if you’ve got one) and plug into your “home grid.” But, alas, too meager a generator of electricity to be more than a bit player in decarbonizing most U.S. homes.
How do I know? I’ve done the math.
A standard, lower-end 220-watt balcony solar array will produce 337 kilowatt-hours a year, or 28 kWh a month averaged over the course of a year. That’s for a 220W unit measuring 3.5 feet by 3.5 feet. (220W x 1/1000 x 17.5% x 8760 hours per year = 337 kWh. Calculation assumes a 17.5% full-year capacity factor, which is arguably generous for New York, where I live. )
Our balcony solar mashup. Top: an install in Germany. Bottom: Home Depot advert.
A typical U.S. home consumes 10,500 kWh a year, or 28 to 29 kWh per day, says Solartech, drawing on U.S. Energy Information Administration data. That puts a home’s daily power needs on par with a balcony solar unit’s monthly output. In effect, once each month the balcony array gifts a homeowner or renter a bit more than day’s full complement of electricity. And earth’s atmosphere gets the same respite: a 3 percent reduction in carbon emissions caused by the home’s electricity usage.
(The 3 percent figure could also be calculated directly by dividing 337 kWh per year of solar production by 10,500 kWh per year to run the home. For bigger or smaller arrays, just prorate your assumed wattage by my 220W; for 440W, say, double my figures.)
Balcony Solar metrics
Why write about balcony solar if it’s so inconsequential? CTC’s mission includes puncturing would-be climate balloons before they ascend too far. In the same vein, we practice quantification to make clear what does and doesn’t move the climate needle. (More on that further below.)
The best way to depict balcony solar’s climate value is to express it in terms of tangible metrics. We’ve selected two. Both assume the basic, lower-end PV array I assumed at the top: a 3.5 foot-square array whose peak output is 220 watts.
1. It would take 50 million 220W balcony solar units (bsu’s) to restore the climate benefit we destroyed in 2020-2021 when we shut the high-performing Indian Point nuclear power plant 32 miles from Midtown Manhattan.
2. A single person cutting back their driving by a mile a day would provide the same climate benefit over the course of a year as a single 220W bsu.
(Calculations in sidebar. Now you know why we led with images of an urban dweller as cyclist and balcony solar user.)
Yes, it’s dense — as befits a sidebar. The numbers tell a story. Follow the color co-ordination.
Ponder that: It would take fifty million smallish bsu’s to level up to the fossil fuel carbon emissions that Indian Point was keeping at bay by supplying the New York City area year in and year out with abundant carbon-free power. Deploying that many balcony solar units would entail 10 bsu’s for each of the 5 million households in the MTA’s service territory. (The Metropolitan Transportation Authority provides subway, bus and commuter rail transit in the five boroughs and seven suburban counties.) Or, if those same households upgraded to 1100-watt bsu’s, collectively they would still make up only half of the lost Indian Point power.
The second comparison, involving driving, is perhaps trickier to grasp but more interesting, since it relates to people’s behavior. Living differently isn’t part of public discourse, at least not in the USA, and especially when what’s being served up is using less. But “reducing,” as we might call it (remember “Reduce, Reuse, Recycle”? or, “Insulate, then Insolate”?) is just as potent for cutting emissions as switching to renewables — even more so when the reducing means driving less, considering the multitude of benefits that accrue from diminishing cars’ imprints on our communities. Still, staying on topic: driving just one fewer mile per day brings about the same shrinkage in carbon emissions as deploying one 220W solar array.
What Balcony Solar boosters are really saying
To be fair, our friends at Inside Climate News and, yes, The New York Times appear to be trying to modulate their balcony solar enthusiasm.
ICN‘s Dan Gearino, whom we cited up front, said he looked to Germany, the birthplace of balcony solar, to see if the units made sense for U.S. households. His takeaway: “It may make more sense financially to spend the cost of plug-in solar on insulation, air sealing or other basic measures to reduce energy use.” Hooray: insulate before you insolate.
Gearino helpfully interviewed renewables guru (and U.S. emigré) Craig Morris, who currently heads Germany’s plug-in solar trade association, Bundesverband Steckersolar. To Morris, balcony solar’s main advantages are that it provides power without taking up land, and that it affords people a way to “become participants in the transition to clean energy.” Behold, guerrilla solar. That, in turn, bolsters “the political consensus that supports the transition.” But Morris also made clear that widespread adoption of plug-in solar would only meet “about 2 percent of Germany’s electricity demand.”
Morris’s “about 2 percent” feels right for Germany. But not for the U.S., where widespread adoption of virtually any individual carbon alternative seems forever out of reach, and where the energy pie is so much larger — think giant fridges, freezers for beer, steroidal homes bursting with piles of powered toys, not to mention industrial and institutional electricity use that Morris correctly excluded from his figure.
Don’t forget to micro-dose. NYT headline + image for David Wallace-Wells’ guest essay (see text). Image by Rui Pu.
Both Gearino and Morris seem more measured than climate journalist Robinson Meyer, founding editor of Heatmap and frequent contributor to The Times, where he wrote about balcony solar in mid-June.
“New zero-carbon power kits will allow Americans to make their own energy choices,” declares the callout to the print version of Meyer’s NYT guest essay, The Tiny Solar Panel That Could Change America. (The even more expansive print headline invites us to “Forget Roofs. Backyard Solar Is the Next Frontier.”)
Wallace-Wells is of two minds. He calls balcony solar “a small way that apartment- and condo-dwelling Americans can take ownership of their energy choices and cut down their pollution on the margins.” No quarrel there, thanks to his qualifiers “small” and “on the margins.” Earlier, though, he opines that balcony solar units “have the potential to change how Americans understand and consume energy,” But read further and you’ll again see Wallace-Wells cautioning that “Balcony solar will play one small role in [the] drama” of transiting to the new world of clean, abundant energy.
Any such caveats are welcome these days, amid widespread solar hoopla. Still, it doesn’t seem to be in Wallace-Wells’ toolkit — or that of Inside Climate News and other mainstream climate journalists — to tutor their audiences as to the true limits of balcony solar and other panaceas. Just like it wasn’t in their field of vision a decade ago to lay out the true stakes of shutting Indian Point as Riverkeeper was singing its siren song.
What’s Next for NY Balcony Solar
Meantime, as Canary Media reported recently (and helpfully), New Yorkers concerned with climate and affordability are waiting for NY Gov. Kathy Hochul to sign the recently passed SUNNY (Solar Up Now New York) Act legalizing balcony and other plug-in solar. It would be head-spinning (and politically suicidal) if she didn’t, given near-universal support ranging from Con Edison to DSA Assembly Member Emily Gallagher, who told Canary Media, “This is the most popular bill I’ve [ever] worked on.”
My guess is that Hochul is waiting for the right moment, and perhaps the right “package,” that can advance and not undercut her push to launch five large new nuclear power plants around the state — one to be built by the public New York Power Authority, the others to be constructed and operated privately. A little bit of math, a la what we offered here a la Indian Point, might help her out.
The governor also must manage the veritable hot potato of her deferred implementation of the landmark 2019 Community Leadership and Climate Protection Act. She might do well to consider jettisoning the act’s unwieldy cap-and-invest centerpiece in favor of a straight-up carbon tax (with the revenues distributed pro rata to the state’s households) in its place. That, far more than balcony (or guerrilla) solar, could blow open the door to the “innovations and technologies we cannot yet imagine” that Wallace-Wells fantasized about in his Times essay.
Carbon Footprint
The new SBTi Corporate Net-Zero Standard: what it means for business
On 11 June 2026, the Science Based Targets initiative (SBTi) published the most substantial revision of its flagship corporate framework since its introduction. The SBTi Corporate Net-Zero Standard Version 2.0 takes effect on 1 February 2027 and reshapes the way companies approach their net-zero targets.
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