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Will A.I. Accelerate Climate Change or Help Combat It?

septembre 2, 2024
6:37 pm
In This Article

Key Impact Points

  • Rising Energy Demand: The global surge in artificial intelligence, particularly generative A.I., is driving a massive increase in energy consumption, with data centers expected to double their electricity use by 2026.
  • Environmental Concerns: As A.I. technology scales, there are growing concerns about its environmental impact, particularly if data centers continue to rely on fossil fuels for power.
  • A.I.’s Green Potential: Despite the energy demands, A.I. holds significant potential to reduce greenhouse gas emissions across various sectors, offering hope in the fight against climate change.

Overview

The global expansion of artificial intelligence is just beginning, and while its potential benefits are vast, so are the environmental challenges it presents. In 2023 alone, big tech companies invested an estimated $105 billion into building and leasing data centers—the powerful, energy-hungry hubs that drive A.I. systems. As the adoption of A.I. accelerates, so does the demand for electricity, raising significant environmental concerns.

The Energy Costs of A.I.

Generative A.I., which powers tools like ChatGPT, requires immense computing power. A single query to ChatGPT, for instance, consumes nearly 10 times more electricity than a typical Google search. With tech giants like Microsoft, Amazon, Google, and Meta investing billions into A.I. technologies, the energy demands are expected to soar. Goldman Sachs forecasts that electricity use by data centers will increase by 160% by 2030, and the International Energy Agency predicts a doubling of energy demand by 2026.

Currently, data centers account for about 1% to 2% of global electricity demand, but this figure could rise to 3% to 4% by 2030. This increase poses a serious challenge if these facilities continue to rely on fossil fuels, potentially exacerbating greenhouse gas emissions.

A.I. as a Green Technology

Despite these concerns, A.I. also holds the potential to be a powerful tool in reducing carbon emissions. According to a study by the Boston Consulting Group, A.I. could reduce global greenhouse gas emissions by 5% to 10% by 2030 if deployed effectively across various industries.

For instance, A.I. is already making strides in biological design, potentially leading to more efficient and less-polluting agricultural practices. It’s also being used to discover critical minerals, like copper, essential for technologies such as electric vehicles. In one notable example, A.I. helped identify a vast copper deposit in Zambia, which could be pivotal in the global shift to renewable energy.

Moreover, companies like Zanskar, a start-up in Salt Lake City, are leveraging A.I. to increase the success rate of discovering geothermal energy, a clean and reliable power source that has been historically underutilized due to high failure rates in drilling.

Related Article: Generative AI: Revolutionizing the Food-Health-Climate Nexus

The Road Ahead

The rise in electricity demand due to A.I. is concerning, but there is optimism that the technology’s efficiency will improve over time, potentially mitigating its environmental impact. A similar trend was observed with cloud computing, where energy consumption concerns were eventually tempered by significant efficiency gains.

Big tech companies are already exploring ways to reduce the energy footprint of their data centers, such as improving software and hardware efficiency, utilizing natural cooling methods, and investing in renewable energy sources. As Jonathan Koomey, an independent researcher and former scientist at Lawrence Berkeley National Laboratory, points out:“There is a huge incentive for the industry to become more efficient.”

Conclusion

While the environmental impact of A.I. is a valid concern, especially given the projected increase in energy consumption, there is also significant potential for A.I. to contribute positively to the fight against climate change. The key will be in how the technology is developed and deployed, ensuring that its benefits outweigh its environmental costs. If managed wisely, A.I. could indeed offer substantial environmental gains in the years to come.

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