Connect with us

Published

on

ChatGPT, Gemini, and Grok Are on an AI Race—But at What Climate Cost? A Comparison

A new report from venture firm a16z highlights a shifting race in generative artificial intelligence (AI). Google’s Gemini, China’s DeepSeek, and even Grok, backed by Elon Musk, are gaining ground on OpenAI’s ChatGPT.

But as these AI rivals advance, there’s an urgent question: how green are their growing footprints? Let’s take a closer look at each of the top three AI’s environmental footprints below.

Competitors Rise: How Google and Grok Are Gaining Ground on ChatGPT

The a16z report maps the top 100 generative AI apps, showing that ChatGPT has strong competition emerging. Google’s Gemini is expanding quickly, and Grok—new but promising—is stepping onto the field, too.

Top 50 AI web products
Source: a16z

Gemini’s strength comes from Google’s massive infrastructure. Its backing allows faster improvements and better integration across services like search, Gmail, and cloud tools. Gemini’s smooth response and deep context give it a competitive edge.

Meanwhile, DeepSeek earns the third spot because it strikes a middle ground between efficiency and emissions. Much of its footprint comes from running on China’s coal-heavy power grid, which raises its carbon intensity compared to peers with greater access to renewable energy.

Meanwhile, ChatGPT stays strong thanks to its large user base and bold partnerships. OpenAI’s alignment with Microsoft means tight integration in Office, Azure, and more. ChatGPT also supports fine-tuning and plugins, making it more flexible for businesses and developers.

AI web visits
Source: a16z

Despite their differences, the report shows all three top models are advancing quickly in user experience, expanding features, and market presence. It marks a growing field, not one dominated by ChatGPT alone anymore.

Watt for Watt: Who’s the Greenest Chatbot? Comparing AI Footprints

As AI usage grows, its environmental impact becomes critical. Let’s compare how these three models fare in energy use and emissions.

OpenAI ChatGPT

ChatGPT sits in the middle of the spectrum. Its exact footprint varies depending on which study you use, but most analyses suggest it consumes more energy and emits more carbon per query than Gemini. 

Part of this comes from heavier model sizes and widespread usage. Improvements in hardware efficiency and energy sourcing are bringing numbers down, but its typical footprint is still higher than Google’s.

OpenAI’s Sam Altman claims a ChatGPT query uses as much power as running an oven for about one second. Independent estimates align with this level.

Although a single query uses moderate energy, the rapid growth in usage means overall consumption is significant. U.S. data centers—many of which power AI—could account for up to 8% of U.S. electricity use by 2030.

Greenly, a carbon accounting firm, estimates that using ChatGPT-4 to respond to one million emails monthly could generate 7,138 tonnes of CO₂, equating to about 4,300 round-trip flights Paris–New York per year. 

chatGPT energy use
Source: Epoch AI
  • Energy use per prompt: ~3 Wh (can be lower in some estimates, ~0.3 Wh)
  • CO₂ emissions per prompt: ~2–3 g (includes amortized training emissions)

SEE MORE: ChatGPT Hits 700M Weekly Users, But at What Environmental Cost?

Google Gemini

Google has been working to make its AI models more efficient, and Gemini reflects this push. According to Google’s own reporting, text-based queries in Gemini consume very little energy compared to earlier AI systems. 

The company highlights dramatic efficiency gains in both energy use and carbon intensity, making Gemini one of the leaner large models when handling short, text-only prompts.

  • According to Google, a median Gemini AI text prompt uses just 0.24 watt-hours, emits 0.03 grams of CO₂, and consumes 0.26 milliliters of water—about five drops. 

Over the past year, Google claims a 33× reduction in energy use per prompt and a 44× reduction in carbon footprint while improving quality.

Google Gemini AI carbon emissions
Source: Google

Experts warn Google’s method may understate environmental cost by excluding indirect water usage (e.g., power plant cooling) and relying on market-based carbon accounting.

  • Energy use per prompt: ~0.24 Wh
  • CO₂ emissions per prompt: ~0.03 g
  • Water use per prompt: ~0.26 mL

READ MORE: Google Reveals the Environmental Cost of Gemini AI Query

DeepSeek R1

DeepSeek’s reasoning models work well with long, complex prompts. This makes them more energy-intensive than regular chat models.

DeepSeek hasn’t shared its exact CO₂ figures. However, benchmarking shows that its energy use per query is much higher than competitors. This is especially true for tasks that require multi-step reasoning or coding. This places DeepSeek at the high end of per-query emissions.

A recent academic study found that models like DeepSeek-R1 use more than 33 Wh per long prompt—over 70× the energy of smaller models like GPT-4.1 Nano. Large-scale inference, with 700 million queries daily, could use as much electricity as 35,000 U.S. homes. It would also need a forest the size of Chicago to offset its carbon emissions.

  • Energy use per long reasoning prompt: >33 Wh
  • CO₂ emissions per prompt: Likely an order of magnitude higher than ChatGPT (depends on grid mix): ~2–4 g

At first glance, Gemini seems the greenest per query (with footprints barely visible in the chart below), while ChatGPT has a moderate impact, and DeepSeek is the least efficient. But real-world AI use involves billions of queries daily. So, even small differences matter.

Generative AI environmental footprint comparison

As AI scales, overall energy and CO₂ use skyrocket unless systems are optimized for efficiency.  

Data Centers or Carbon Centers? The Stakes for Climate

The environmental stakes are real. Experts estimate global data center use could hit 945 terawatt-hours (TWh) by 2030, with AI responsible for 652 TWh—an 80× jump from today.
Generative AI alone may cause 18–246 million tons of CO₂ emissions per year by 2035, similar to entire industries like aviation or shipping.

Without green design, AI growth could claw back efforts to reduce climate impact. Companies need to think beyond speed and accuracy—AI must grow sustainably, too.

AI Growth Meets Climate Responsibility: What Comes Next

The AI competition is intensifying—with ChatGPT, Gemini, and Grok pushing each other forward. Users benefit from better tools, but rising usage means rising environmental costs. To move forward responsibly, analysts suggest these actions:

  • Developers should optimize AI models for energy efficiency, just like Gemini’s leap.
  • Companies should track and reveal full lifecycle impacts—not just inference costs.
  • Cloud providers and AI firms need policies favoring renewable energy and efficient data center cooling.
  • Public policy could reward low-carbon AI, possibly with incentives or carbon pricing.

The a16z report shows that generative AI has entered a new phase—competition among equals, not a single leader. ChatGPT, Gemini, and Grok are all driving innovation in AI. But with growing usage comes growing environmental responsibility.

As the field speeds up, AI’s impact on climate can’t be ignored. Models that combine high performance with low energy use will define the future. If innovators balance progress with sustainability, AI’s value could be even greater—and greener.

The post ChatGPT, Gemini, and DeepSeek Are on an AI Race – But at What Climate Cost? A Comparison appeared first on Carbon Credits.

Continue Reading

Carbon Footprint

Want a simpler way to buy carbon credits? Discover our carbon marketplace

Published

on

Most businesses that decide to act on their net-zero targets reach the same point of friction. Buying carbon credits has meant tracking down brokers, sitting through sales calls, and requesting a quote just to learn a price, sometimes with limited proof of what you are buying.

Continue Reading

Carbon Footprint

Climate-Linked Supply Chain Risk Is Already in Your P&L

Published

on

The earnings calls that quietly reframed climate from sustainability question to operating risk.

Three earnings calls in the last 18 months tell the story without any help from a press release.

Hershey, May 2024: cocoa price exposure compresses margin, and the company attributes part of the cost shock to West African weather. Olam, July 2024: coffee climate exposure quantified in the annual report. JBS, January 2025: supply chain climate disclosures expanded materially in response to investor pressure and regulatory expectation. None of these companies issued the announcement as climate news. They issued it as financial news. The climate-linked supply chain risk did not arrive with a sustainability framing; it arrived as a P&L line.

You are probably reading this article because you suspect the same thing is happening to your business. This piece walks through what is showing up on which earnings calls, how procurement and finance leaders are quantifying the exposure, and what serious corporates are doing about it before the regulator asks.

Where climate risk has already appeared in earnings

The pattern is consistent across resource-intensive sectors. A weather event compresses supply, the price spikes, the cost flows through the income statement, and the analyst on the call asks whether the event is anomalous or structural. Increasingly, the honest answer is the second one.

Cocoa is the cleanest example. The 2023 to 2024 West African harvest fell sharply on the back of erratic rainfall and disease. Cocoa futures more than tripled. Companies with concentrated West African sourcing absorbed the cost; companies with diversified sourcing absorbed less. The exposure was not climate as ESG topic. It was climate as cost of goods.

Coffee follows the same pattern. Brazilian and Vietnamese harvests have moved on weather more sharply across the last several seasons. Roasters with long-tenor supplier relationships and origin diversification have managed the volatility; roasters with spot-market exposure have not. Wheat, sugar, palm oil, beef: the same dynamic in different commodities, a pattern the IPCC AR6 Working Group II report projects will intensify across agricultural systems through mid-century.

What this means: climate risk is no longer a footnote in the 10-K. It is a line item the CFO has to explain on the call.

The three commodity exposures that hit margin first

For most companies with material Scope 3 exposure, three exposures dominate the near-term P&L risk.

  • Concentrated single-origin sourcing in a climate-vulnerable region. If your tier-one supply for any material commodity sits in one geography, you have a concentration risk that climate amplifies. Diversification across origins is the obvious hedge, but it takes years to build and requires relationships you cannot acquire by tender.
  • Supplier financial fragility under climate stress. Smallholder farmers, who supply a large share of the global cocoa, coffee, and palm oil market, do not carry the balance sheets to absorb yield shocks. When yields collapse, they exit. When they exit, your supply base shrinks, and the surviving suppliers raise prices. The risk is structural, not cyclical.
  • Logistics and storage exposure to extreme weather. Hurricane disruptions to Gulf shipping, drought-driven Panama Canal restrictions, flooding in European inland waterways: each of these has moved input costs in the last three years, a pattern documented in Munich Re’s natural catastrophe data. The exposure shows up as a one-quarter event in the financial press but accumulates over time on the cost line.

TCFD and ISSB disclosure changes

The disclosure architecture has now caught up with the risk. The Task Force on Climate-related Financial Disclosures, whose recommendations are now embedded in the ISSB’s IFRS S2 climate standard, requires companies to disclose climate-related risks across physical and transition categories, with quantification where possible.

For physical risk specifically (the climate-linked supply chain risk you are reading about), the disclosure must address both acute exposures (extreme weather events) and chronic exposures (gradual changes in temperature, precipitation, and growing seasons). The disclosure must address the time horizon over which the risk is material, the parts of the value chain exposed, and the financial impact under different scenarios.

The CSRD imposes similar requirements under European law, with double materiality (both financial and impact materiality) embedded in the assessment. The practical effect: your auditors and your investor relations team now need a defensible answer to the climate-linked supply chain risk question, and the answer needs to be quantified.

What procurement and finance can do now

Three actions matter near-term.

Map your exposure. Most companies do not have a clear view of which tier-one and tier-two suppliers sit in which climate-vulnerable geographies. Without the map, you cannot quantify the risk, and without the quantification, you cannot disclose it credibly. The map is the foundation, and World Resources Institute climate risk research provides useful public tooling to start.

Diversify and deepen, in that order. Diversification across origins reduces concentration risk, but the deeper move is to invest in the resilience of the suppliers you already have. Regenerative practices, agroforestry, soil health interventions: these reduce yield volatility under climate stress and protect your input cost trajectory.

Embed the climate spend inside procurement, not outside it. Treating climate risk as a sustainability cost line subordinates it to the ESG budget. Treating it as a procurement and resilience investment puts it in the budget that matters, which is the cost-of-goods budget that the CFO defends quarterly.

Nature-based supply chain investments are the asset class designed for exactly this purpose. They sit inside the value chain, they reduce climate-linked supply risk, they generate verifiable Scope 3 reductions, and they produce the documentation an auditor and a regulator can both test.

If you are quantifying climate-linked supply chain risk in advance of the next earnings cycle or the next disclosure period, the carbon and sustainability experts at Carbon Credit Capital can help you map your exposure and structure a Dual-Value Model response that addresses reduction, resilience, and disclosure-readiness in a single program. Schedule a consultation.

Continue Reading

Carbon Footprint

Where should an SME start with a carbon action plan?

Published

on

More and more small and medium-sized businesses are hearing the same question from their larger customers: What is your carbon footprint? That question now travels down entire supply chains, and it arrives next to tender requirements, certification criteria, and rising customer expectations.

Continue Reading

Trending

Copyright © 2022 BreakingClimateChange.com