The Impact Of AI On Sustainability & The Environment In The Future

According to various sources, the use of AI in the future is projected to increase, and advance in terms of the technology used.

With that being the case, in this guide, we’ve outlined the impact AI might have on sustainability and the environment in the future.

We’ve also outlined various examples of how AI might be used, or how in might help across various industries.


Summary – AI, & Sustainability & The Environment

The Impact Of AI On Sustainability Depends On Different Variables & Factors

The impact that AI might have on sustainability and the environment depends on several factors such as:

– What sustainability indicator is being measured (and how it’s being measured

– What type of AI technology is being used

– What the AI is programmed for and how it’s being used (along with what abilities the AI is using)

– Other factors


Does AI Help Reduce Energy Use & Carbon Footprint?

Across some measures or indicators, AI might help with sustainability, but across others it may inhibit sustainability (this is analysed in depth in the resource listed)

For example, carbon footprint and energy use are two sustainability indicators that can be measured when it comes to AI

Some studies indicate that AI will mean companies might use more energy and therefore have larger carbon footprints – largely as a result of processing data, needing server centres, and needing energy to cool data centers

This makes AI potentially similar to Blockchain as a technology for use in sustainability – with energy use being being a significant concern

Others claim AI has the potential to be trained to figure out how data and energy use can be saved or reduced, and therefore only using a minimal amount of energy and emitted a minimal amount of CO2, or even reducing energy and emissions

Others claims that we don’t know how much energy AI will use in the future, and more comprehensive and wider studies are needed to see their environmental and sustainability impact

So, the answers range from ‘yes’, to ‘no’, to ‘we aren’t sure’, at least when it comes to energy use and carbon footprint


What About AI Helping With Sustainability In General? provides this feedback:

Companies already are making use of AI to achieve step changes in, for example, efficiency and emissions reductions, and to innovate new products and services.

These AI applications for sustainability are not widespread, and they are early stage, but the data suggests that AI can bring significant benefits for sustainability in the medium term.


Does AI Help With Sustainability, Social & Economic Goals Overall?

One source indicates that AI helps across some sustainability, social and economic goals, but inhibits others i.e. there are tradeoffs when it comes to sustainability overall

So, AI might doesn’t appear to be a ‘magic bullet’ solution.

Like any technology, the costs and benefits of each type of AI technology has to be weighed up, along with any improvements or optimizations that can be made to the technology


How AI May Help With Sustainability In The Future

Some of the main areas AI might have the ability to help with environmental sustainability in the future are in:

1. Making processes more efficient, or cutting steps from a process (and saving energy and resources in those processes)

2. Reducing errors currently made by humans (that use energy and resources)

And, 3. Better monitoring and managing material and resource usage

The impact of AI on sustainability in the future may vary depending on the variables listed at the top of this summary, and also depending on how AI develops and is used in the future compared to now


Industries Where AI Might Be Used To Help With Sustainability

Some of the industries or areas where AI might be used to address sustainability issues are agriculture, energy, transport, water resource management, manufacturing, facilities management, and materials science provides more information on each of these industries and applications

Other industries or activities might include reducing e-waste, species protection, air quality and air pollution, and maximizing renewable energy technologies (such as solar and wind)


AI Might Lead To Economic Benefits Too

AI may lead to economic benefits such as increased value contributed to the economy, and additional jobs created

Some of this is a result of productivity increases


More Data & Studies On May Be Required In The Future To Determine The Real Impact Of AI

Companies and organisations will have to focus on tracking and studying the impact of AI on sustainability into the future – a specific focus is needed to obtain this data and these results


Potential Future Risks Of AI To Consider

What also needs to be examined in greater detail is the potential risks of AI in the future. The and resources both discuss these potential risks

Automated bias, claimed benefits may turn out not to be as significant or as effective and the initial claims and could be a net negative, and the erosion of some jobs, may be some examples of risks

There may also be a concern that companies and individuals will use AI for their own agenda at the expense of the greater % of the population


The Potential Energy Use & Carbon Emissions Of AI

AI based systems can be both compute intensive, and they must process data, in addition to needing servers, and also needing energy to cool data centers

With these things being the case, any organisation using AI will very likely increase their energy use.

There’s mixed claims on how much extra CO2 emissions this could lead to

One study indicates that: ‘[training one uncommonly used AI model to do NLP can produce the CO2 equivalent 5x the lifetime emission of the American car]’ (

But, other more commonly used AI doing more representative training tasks may produce much less CO2 emissions.

There’s also AI technology that helps reduce data center energy requirements, as is the case with Google’s DeepMind division (

It’s unclear how AI will continue to develop and function in the future.

More sustainability studies will likely need to be conducted in the future to get an idea of their true representative impact based on the most common uses and functions they carry out.


AI Can Both Help & Inhibit Sustainability Goals

One study found that AI might help but also inhibit sustainability across environmental, social and economic goals:

AI can enable the accomplishment of 134 targets across all the goals, but it may also inhibit 59 targets (


Refer to the link below in the sources list for more information on this study

They look at factors such as:

– What sustainability goals are being measured

– What AI software and capabilities are being used (perception, decision making, prediction, automatic knowledge extraction and pattern recognition from data, interactive communication, and logical reasoning

– How AI might be a benefit or how it might inhibit things across specific goals and targets (mainly environmental, social and economic)

Note that there might be some limitations to this study such as the analysis mainly representing to perspective of the authors, and mainly the SDGs being analysed (and not independent sustainable indicators or goals)


The resource outlines that AI is ‘not a silver bullet … and must be used responsibly’. There should be a focus on ‘green AI’.


How AI May Have An Impact On Environmental Sustainability In The Future

Apart from what is outlined above, the areas of impact may include (paraphrased from

– Reducing errors

That are currently being made by humans in certain processes, and saving energy and resources in the process


– Increasing efficiency of different processes

This can lead to the same or more being produced with the same amount of resources, or less resources (such as less energy). AI can also cut out certain human steps from an existing process


– Better management of raw materials

Related to the point above – AI can manage the use of raw materials, to either use them more efficiently, or use less of them, or use more sustainable alternative materials


Additionally, when 200 business decision makers in environmental sustainability were polled in 2018, 74% of them ‘agreed that AI would help solve environmental problems’ (


Examples Of Different Industries & Activities Where AI May Be Used To Help With Sustainability

Below are examples of how AI might be used in the future in different industries and for different activities to help with sustainability …

For each of these potential uses, there may be benefit to do with more efficient resource usage, lesser negative environmental impact, and other benefits like economic benefits, and more.


AI Being Used For Sustainability In Agriculture

[AI can be used in agriculture for] better monitoring and managing environmental conditions and crop yields [and can] help reduce both fertilizer and water [use] while improving crop yields (


AI Being Used For Sustainability In Energy

AI can use deep predictive capabilities and intelligent grid systems to manage the demand and supply of renewable energy.

By more accurately predicting weather patterns, AI can optimize efficiency, cutting costs, and unnecessary carbon pollution generation



AI Being Used For Sustainability In Transport 

AI can help reduce traffic congestion, improve the transport of cargo (supply chain logistics), and enable more and more autonomous driving capability.

AI will eventually help with the “last mile” delivery problem and reduce the need for delivery vehicles.

AI can help businesses with demand forecasting, helping to reduce the amount of transport needed



AI Being Used For Sustainability In Water Resource Management

AI can help reduce or eliminate waste while lowering costs and lessening environmental impact.

AI-driven localized weather forecasting will help reduce water usage



AI Being Used For Sustainability In Manufacturing

AI can help reduce waste and energy use in production facilities. Robotics can enable better precision.

AI can design more efficient systems



AI Being Used For Sustainability In Facilities Management 

AI can help recycle heat within buildings and maximize the efficiency of heating and cooling.

AI can help optimize energy use in buildings by tracking the number of people in a room or predicting the availability of renewable energy sources



AI Being Used For Sustainability In Materials Science

AI can help researchers find new materials for solar panels, for turning heat back into useful electricity and to help find absorbent materials as components of CO2 scrubbers (taking CO2 out of the atmosphere.)



Other Industries Or Activities Where AI Might Help With Sustainability

AI can be used in conjunction with other technology (with just one example being the Internet Of Things) to address sustainability in (according to

Reducing e-waste

– Species protection

Air quality and air pollution

– Maximizing renewable energy technologies (such as solar and wind)


According to

– Some examples of AI application include AI-infused clean distributed energy grids, precision agriculture, sustainable supply chains, environmental monitoring and enforcement, and enhanced weather and disaster prediction and response

– [AI could impact the environment across] agriculture, water, energy and transport


The,, and resources go into further detail on the different ways AI might help with sustainability in the future.


How AI Might Lead To Economic Benefits In The Future

Economic benefits may arise from productivity increases, and employment openings.


According to

– … using AI for environmental applications could contribute up to $5.2 trillion USD to the global economy in 2030, a 4.4% increase relative to business as usual

– At the same time as productivity improvements, AI could create 38.2 million net new jobs across the global economy offering more skilled occupations as part of this transition

– [The main benefit of AI is that it allows our systems to be more productive in an economic and environmental sense]


Potential Risks Of AI Use In The Future

The study goes through some of the risks of using AI in the future (such as specific governments and companies using technology to further their own agenda, instead of the majority of people) also provides some feedback on the potential risk of AI use in the future:

What we don’t see … is much evidence that companies are understanding the numerous and serious risks that AI presents.  

[Some risks may include automated bias, claimed benefits may turn out not to be as significant or as effective and the initial claims and could be a net negative, and the erosion of some jobs]




2. Vinuesa, R., Azizpour, H., Leite, I. et al. The role of artificial intelligence in achieving the Sustainable Development Goals. Nat Commun 11, 233 (2020). [accessed at












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