aArtificial intelligence is frequently linked to massive electricity consumption, resulting in global warming emissions that often support unproductive or misleading gains which contribute little to human advancement.

However, some AI proponents at a significant UN climate summit are presenting an alternative perspective. Could AI actually assist in addressing the climate crisis rather than exacerbating it?

The discussion of “AI for good” resonated at the Cop30 conference in Belem, Brazil, where advocates claim AI has the potential to lower emissions through various efficiencies that could impact multiple aspects of daily life, including food, transportation, and energy—major contributors to environmental pollution.

Recently, a coalition of organizations, UN agencies, and the Brazilian government announced the establishment of the AI Climate Institute, a new global initiative aimed at leveraging AI as a tool for empowerment to assist developing nations in addressing environmental issues.

Proponents assert that, over time, this initiative will educate countries on utilizing AI in various ways to curb emissions, including enhancing public transportation, streamlining agricultural systems, and adjusting energy grids to facilitate the timely integration of renewable energy.

Forecasting weather patterns, including the mapping of impending climate crises like floods and wildfires, could also be refined through this approach, remarked Maria João Souza, executive director of Climate Change AI, one of the organizations involved in the initiative.

“Numerical weather prediction models demand significant computational power, which limits their implementation in many regions,” she noted. “I believe AI will act as a beneficial force that accelerates many of these advancements.”

Lorenzo Sarr, chief sustainability officer at Clarity AI and also present at Cop30, emphasized that AI could aid in tracking emissions and biodiversity, providing insights into current conditions.

“One can truly begin to identify the problem areas,” he said. “Then predictions can be made. These forecasts can address both short-term and long-term scenarios. We can predict next week’s flooding, and also analyze phenomena like rising sea levels.”

Sarr acknowledged valid concerns regarding AI’s societal and governance impacts, but he expressed optimism that the overall environmental outcomes could be beneficial. A report released in June by the London School of Economics delivered unexpectedly positive projections, suggesting that AI could slash global greenhouse gas emissions by 3.2 billion to 5.4 billion tons over the next decade, even factoring in significant energy usage.

“People already make poor energy choices, such as overusing their air conditioners,” Sarr commented. “How much of what we do on our phones is detrimental? It’s a recurring thought for me. How many hours do we spend scrolling through Instagram?”

“I believe society will gravitate toward this direction. We must consider how to prevent harming the planet through heating while ensuring a net positive impact.”

Yet, some experts and environmental advocates remain skeptical. The immense computational demands of AI, particularly in the case of generative models, are driving a surge in data centers in countries like the U.S., which consume vast quantities of electricity and water—even in drought-prone areas—leading to surging electricity costs in certain regions.

The climate ramifications of this AI surge, propelled by companies like Google, Meta, and OpenAI, are considerable and likely to increase, as indicated by a recent study from Cornell University. This impact is comparable to adding 10 million gasoline cars to the roads or matching the annual emissions of all of Norway.

“There exists a techno-utopian belief that AI will rescue us from the climate crisis,” stated Jean Hsu, a climate activist at the Center for Biological Diversity. “However, we know what truly will save us from the climate crisis: the gradual elimination of fossil fuels, not AI.”

While AI may indeed enhance efficiency and lower emissions, these same technologies can be leveraged to optimize fossil fuel extraction as well. A recent report by Wood Mackenzie estimated that AI could potentially unlock an additional trillion barrels of oil. Such a scenario, if accepted by energy markets, would obliterate any chances of preventing severe climate change.

Natasha Hospedares, lead attorney for AI at Client Earth, remarked that while the “AI for good” argument holds some validity, it represents “a very small niche” within a far larger industry focused primarily on maximizing profits.

“There is some evidence that AI could assist developing nations, but much of this is either in the early stages or remains hypothetical, and actual implementation is still lacking,” she stated. “Overall, we are significantly distant from achieving a state where AI consistently mitigates its detrimental environmental impacts.”

“The environmental consequences of AI are already alarming, and I don’t foresee a slowdown in data center expansion anytime soon. A minor fraction of AI is being applied for beneficial purposes, while the vast majority is being exploited by companies like Google and Meta, primarily for profit at the expense of the environment and human rights.”