Europe is sweltering through one of the most intense early-summer heatwaves in its recorded history. Temperatures have climbed to nearly 40°C across large parts of France, Italy, Germany, Spain and the Balkans. Wildfires have erupted, transport networks have buckled, electricity grids have come under strain, and hospitals are treating thousands of heat-related illnesses.
According to Reuters, some countries have already recorded hundreds of excess deaths, with scientists describing the event as one of Europe’s worst heatwaves on record.
Against this backdrop, some people are asking ab important question: is the artificial intelligence boom making extreme weather worse?
The answer is both simpler and more nuanced than many headlines suggest.
No, AI is not causing Europe’s current heatwave. The atmospheric conditions responsible for this summer’s extreme temperatures were set in motion by well-understood meteorological processes, including a persistent high-pressure “heat dome” and decades of human-driven climate change resulting from greenhouse gas emissions. Climate scientists remain clear that fossil fuel emissions are overwhelmingly the dominant driver of rising global temperatures and increasingly frequent heat extremes.
But that does not mean AI is environmentally neutral.
Rather, AI is fast becoming another major contributor to the broader climate challenge that is making such weather events more likely over time.
The explosion of generative AI has triggered an unprecedented race to build data centres. Companies including Amazon, Microsoft, Google, Meta and OpenAI are investing hundreds of billions of dollars in computing infrastructure capable of training and running increasingly sophisticated AI models.
These facilities are extraordinarily energy-intensive.
Unlike conventional office buildings, AI data centres operate around the clock. Thousands of high-performance chips generate enormous amounts of heat and require constant cooling to avoid failure. During heatwaves, cooling systems must work even harder, dramatically increasing electricity consumption just as national power demand is already peaking.
Ironically, this means extreme weather is becoming a threat to AI itself.
According to CNBC, insurers and infrastructure experts say severe weather is emerging as one of the biggest risks facing AI infrastructure. Heatwaves, floods, wildfires and storms are increasing construction costs, raising insurance premiums and threatening data centre operations. A recent report by climate-risk analytics firm First Street found that nearly 80% of global data-centre capacity is located in areas exposed to significant climate hazards.
The relationship therefore runs both ways.
Climate change makes AI infrastructure more vulnerable.
AI infrastructure, in turn, increases energy demand, which can add to emissions if the electricity powering those facilities comes from fossil fuels.
That distinction matters.
Some commentary has implied that AI itself is directly generating Europe’s heatwave. There is little scientific basis for such a claim. The additional electricity consumed by AI is tiny compared with the cumulative greenhouse gases emitted over more than a century by power generation, transportation, heavy industry and deforestation.
However, if AI drives a massive increase in electricity consumption without a corresponding expansion of renewable energy, it could accelerate future warming.
That is precisely why major technology companies are now investing heavily in cleaner energy sources.
Amazon, Microsoft and Google have announced major renewable energy projects, battery storage investments and even nuclear power agreements to supply future AI infrastructure with lower-carbon electricity. Whether those investments grow quickly enough to match exploding AI demand remains an open question.
Europe’s current crisis illustrates another uncomfortable reality.
Even if AI became completely carbon-neutral tomorrow, the continent would still be confronting this summer’s dangerous temperatures because today’s heat reflects decades of accumulated greenhouse gas emissions already trapped in the atmosphere.
Scientists have repeatedly warned that climate change loads the dice in favour of more frequent and more intense heatwaves. Europe is warming faster than the global average, making such extreme events increasingly likely regardless of AI’s future trajectory.
Perhaps the greater irony is that AI may become one of the tools needed to combat the very crisis it is accused of worsening.
Artificial intelligence is already improving weather forecasting, optimising electricity grids, identifying wildfire risks, modelling climate scenarios and helping researchers better understand complex atmospheric systems. Governments and scientists increasingly rely on AI to improve disaster preparedness and reduce the human and economic costs of extreme weather.
The technology, therefore, is neither climate villain nor climate saviour.
Its environmental impact depends largely on how it is powered.
If AI’s growth continues to rely heavily on coal and natural gas, it will contribute to rising emissions and worsen long-term climate risks. If its enormous energy demands are met primarily through renewable energy and other low-carbon sources, it could instead become an important tool in managing a warming planet.
Europe’s blistering summer should not become an excuse to blame AI for every weather disaster. But neither should the industry’s environmental footprint be ignored.
The real lesson is that two defining challenges of this century (artificial intelligence and climate change) are becoming increasingly intertwined. Managing one responsibly may ultimately determine how successfully humanity confronts the other.
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Emmanuel Abara Benson is a business journalist and editor covering artificial intelligence, global markets, and emerging technology.
He has previously worked with Business Insider Africa and Nairametrics, reporting on finance, startups, and innovation.
His work focuses on AI, digital economy, and global tech trends.
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