Artificial intelligence (AI) plays an important role in modern life. It not only makes life more convenient, but also promotes environmental protection. For example, smart thermostats can optimize energy use and increase efficiency.
core ideas
- AI technology improves energy efficiency and supports environmentally friendly development.
- Artificial intelligence improves intelligently optimized resource management.
- In agriculture and waste management, AI reduces resource waste.
- Through environmental monitoring and big data analysis, AI helps protect the environment.
- Promoting AI sustainability requires solving the issues of employment and energy consumption.
How technology promotes sustainable development
As technological innovation continues to advance, it is critical for businesses to drive sustainable development. Companies can use new technologies to help reduce carbon emissions and find a balance between environmental protection and finances.
Technology promotes sustainability: dual engine drive
Digitalization and carbon reduction strategies
Digitalization and carbon reduction strategies are key to achieving sustainable development. By 2030, many projects will be automated through advanced technology, which will help improve efficiency and save costs.
The progress of the digital economy has also promoted cooperation between different parties. This helps save energy and improve energy efficiency.
- Productivity and cost benefits from automation technology
- The use of smart water meters in cities is expected to grow by 28% by 2026
- Increased investor preference for sustainable investing
- Consolidation of EU energy, transport and construction sectors could save up to €200 billion annually
Implementing these strategies can help companies achieve green transformation. Not only do they promote the use of renewable energy, they also help meet long-term carbon reduction goals.
Environmental friendliness and AI applications
In recent years, AI technology has played a more important role in global waste management and environmental protection. These technologies improve resource utilization efficiency and reduce pollution.
Application of artificial intelligence in waste management
AI improves efficiency and accuracy in waste management. For example, AI can quickly identify different types of garbage, making waste management more accurate. AI can also predict waste generation and help plan resource management.
Garbage sorting and recycling

Application areas | AI technology | environmental benefits |
---|---|---|
waste management | Image Identification | Improve classification accuracy |
Garbage classification | automated system | Improve resource recovery rate |
recycle and re-use | Predictive analytics | Reduce waste generation |
A study shows that AI has dual benefits in environmental protection and resource management. This is important for the Sustainable Development Goals.
Green technology and energy efficiency
Green technology is important for energy conservation, carbon reduction and green innovation. The AI energy management system has shown excellent results. According to experiments, energy consumption can be reduced by 5% to 11%.
The system can also accurately predict maximum power demand with an error of less than 5%. With this technology, the investment can be recovered in less than five years. This is especially true where electricity bills are high.
164 countries around the world have formulated more than 1,200 low-carbon policies. These policies cover 95% of greenhouse gas emissions. They greatly facilitate corporate and individual actions to reduce carbon emissions.
GE and Intel plan to use network and information technology to reduce carbon emissions by 20% by 2030. Artificial intelligence and data analysis are expected to reduce global greenhouse gas emissions by 4% in 2030. This is equivalent to reducing carbon dioxide emissions by 2.4 billion tons.

Cloud computing and the Internet of Things are critical to improving energy efficiency. The IoT market is expected to increase from US$49.33 billion in 2022 to US$150.73 billion in 2027. This is an average annual growth rate of 25.0%.
At the same time, the cloud computing market will increase from US$36.33 billion in 2022 to US$120.95 billion in 2027. This reflects an average annual growth rate of 27.2%. The rapid development of these technologies demonstrates their potential for green innovation and energy conservation.
Companies such as IBM, Microsoft, and GE are important in the green technology market. Through different strategies, they promote energy efficiency and reduce carbon emissions globally. Overall, AI energy management makes a huge contribution to a sustainable future.
How Intelligent Optimization Improves Resource Efficiency

Altair’s team is mainly composed of technical personnel, accounting for 73%. The average employee has worked here for more than 8 years. This shows that employees are loyal.
Altair leverages cloud technology to optimize infrastructure. This reduces the need for a separate server and improves resource utilization efficiency.
By 2025, the world’s data is expected to reach a huge amount. Growing from 33 zettabytes in 2018 to 2025 zettabytes. AI technology improves data storage, makes management more proactive, and reduces manual intervention.
The International Energy Agency (IEA) has set a target. Reduce steel use by 15% by 2050 and achieve net-zero carbon emissions. Altair is working to reduce waste through reduce, recycle and reuse.
Reducing the net weight of the vehicle by 10% can reduce fuel consumption by 6-7%. This is an effective method.
Number of employees | Average working years | Technical staff ratio |
---|---|---|
3,000+ | 8 years+ | 73% |
Altair has launched a lot of products. Such as Altair® DesignAI™, Altair® EDEM™, and Altair Regulus®. These solutions help many areas.
These products help improve production efficiency. Intelligently optimize resource utilization through data analysis and prediction. AI algorithms predict system problems and improve production efficiency.
Resource conservation and AI technology
In this era of rapid technological advancement, AI technology has become very important. It plays a key role in improving resource management efficiency and conserving resources. AI is particularly useful in agriculture and water management, where it uses predictive models and intelligent management systems to bring about innovative changes.
Predicting crop yields
AI technology in agriculture uses big data and predictive models to help farmers estimate crop yields. This will not only improve crop quality but also increase yield.
These forecast models take into account factors such as climate, soil conditions and pests and diseases. Therefore, they can provide accurate data for agricultural production. This allows farmers to better manage resources, avoid waste and improve agricultural efficiency.
Smart water management
AI technology has also demonstrated its advantages in water resources management. It can provide accurate predictions, optimize the efficiency of water resources, and help decision-makers make better water allocations.

Development trends of smart cities
The development of smart cities has gone through several important stages. Starting from the 1990s, urban infrastructure and informatization began to be applied. From 2000 to 2010, we saw the rapid development of smart transportation, monitoring and other functions.

Smart grid applications
Smart grids significantly improve grid stability and energy efficiency. It uses big data analytics to instantly regulate power supply and predict demand. This reduces energy waste.
This not only improves urban operational efficiency, but also supports sustainable development.
Self-driving cars and traffic optimization
Self-driving technology is critical to smart cities, especially in improving transportation. They help reduce accident rates, reduce congestion, and reduce carbon emissions.
The government is promoting smart transportation plans. Such as Kaohsiung’s sensing system, Taipei’s bus safety plan and Taoyuan’s enhanced transportation connectivity.
These trends not only improve the quality of life. It also increases the city’s operational efficiency and safety.
AI applications under circular economy
Taiwan produces approximately 1.6 million tons of converter stone and 1.3 million tons of oxide ballast every year. These by-products and the 15 million tons of sand and gravel resources used every year produce about 12 million tons of asphalt removal materials. They are important resources and should not be treated as waste.
In the circular economy model, these resources play a key role. The AI circulatory system plays an important supporting role in this process.
In the circular economy, AI technology has greatly improved the efficiency of resource recycling. Through AI, converter stone, oxide ballast and asphalt scraps are reused more efficiently.
AI technology enhances monitoring, fraud prevention and verification processes. It uses models such as EfficientNet, DETR, YOLOv7 and AutoEncoder to identify and classify materials.
EfficientNet is a CNN architecture with low parameters and high recognition ability, used for image classification. DETR and YOLOv7 are mainly used to locate and identify material types. AI technology faces multiple challenges here, such as model selection and maintenance.

steelmaking by-products | Annual output (tons) | Application scenarios |
---|---|---|
converter stone | 1.6 million | paving concrete |
Oxidized ballast | 1.3 million | Recycling process monitoring |
Asphalt scraps | 12 million | Recycle |
Using AI technology, we can recycle resources more efficiently and reduce waste. This enables a sustainable strategy. As the cooperation between Far EasTone Telecommunications and Microsoft demonstrates, smart transformation is of great benefit to enterprises, society and environmental protection.
Optimized use of renewable energy

Smart management of wind and solar energy
Wind and solar energy are important renewable energy sources. Their power generation is affected by weather and geographic location. Using AI to analyze data, the best power generation period can be predicted.
This not only improves energy conversion efficiency, but also reduces energy waste.
Forecasting energy demand and supply
Demand forecasting is critical to energy system stability. AI uses historical and real-time data to accurately estimate energy demand.
This allows us to prepare in advance to ensure a stable energy supply and avoid shortages or waste.
A report shows that as of January 24, 2024, 80% of the environmental impact of products will be determined during the design stage. Nearly 60% of CEOs believe it is important to improve sustainability transparency. Sustainable technologies help businesses lead the way.
They can also attract environmentally and socially focused talent. Using AI to manage renewable energy is a key step for companies to move towards sustainable development.
Global Energy Market AI Deployment | 2020-2030 (USD billion) |
---|---|
According to deployment type | Detailed data |
Application distribution | Detailed data |
Energy market AI applications | 2020-2030 (USD billion) |
Distribution type | Detailed data |
distribution area | Detailed data |
AI strategies to reduce carbon footprint
AI technology has many ways to help reduce carbon footprints, including AI monitoring and developing carbon emission reduction strategies. Data for 2022 shows that Taiwan’s greenhouse gas emissions are approximately 265.621 million metric tons. Manufacturing emissions account for 56%.
The manufacturing industry faces the big challenge of reducing carbon emissions. AI can analyze the data to identify the main sources of emissions and develop effective reduction strategies. For example, Jisi Intelligence uses AI to reduce emissions by more than 20,000 metric tons in the petrochemical industry.

AI plays an important role in sustainable development. More than 138 countries around the world have joined carbon reduction, the United States has returned to the Paris Agreement, and the European Union has implemented CBAM. There are 22 companies in Taiwan participating in RE100, demonstrating international collaboration and efforts.
AI can help companies reduce carbon emissions through a variety of strategies, such as moving to areas rich in renewable energy and designing efficient servers. This not only reduces the carbon footprint but also contributes to sustainable development.
Social Impact and Corporate Responsibility
The application of artificial intelligence is becoming more and more widespread, and the social responsibility of enterprises is also changing accordingly. During the implementation of AI, companies need to ensure social interests and maintain brand trust. Statistics show that 89% of people believe that companies can make progress in sustainability and social responsibility through AI.
This means that when introducing AI, companies should not only focus on technical benefits. They should also enhance their contribution to society.
How businesses can implement AI sustainability
When it comes to AI strategies, companies need to consider factors from multiple perspectives to promote sustainability. IBM, Microsoft, Google, etc. have established AI ethics committees. This is to make AI applications more ethical and responsible.
66% believe AI can make up for our shortcomings in sustainability and social responsibility. Therefore, companies should carefully consider the impact on society and the environment when using technology.
Social value and corporate trust
Paying attention to social responsibility can greatly enhance brand trust. The survey shows that 74% of people would consider ending a relationship with a brand because of its neglect of sustainability. At the same time, 89% of respondents would be willing to pay more for companies that respect the environment and society.
Therefore, when implementing AI technology, companies should improve both technical effectiveness and social value. As many as 95% of respondents expect companies to redouble their efforts in social contribution.
Such an AI implementation strategy can enhance social trust and improve the company’s image.
factor | percentage |
---|---|
Respondents believe AI can help companies make progress in sustainability and social responsibility | 89% |
Respondents believe AI can make up for human shortcomings in sustainability and social responsibility | 66% |
Respondents are willing to pay more for companies with environmental and social achievements | 89% |
Respondents expect companies to increase their efforts in social contribution | 95% |
Application of AI in environmental monitoring
Monitoring deforestation and air quality
AI is very effective in protecting forests. It can use satellite imagery and machine learning to accurately identify and monitor forest changes. This way we can stop illegal logging in time.
AI can also monitor air quality. It analyzes historical pollution data to predict future air quality. This allows the government and people to prepare in advance.
Predicting and modeling climate change
Accurate climate models are important for understanding and combating climate change. AI analyzes large amounts of climate data and optimizes climate models. This makes predictions of future climate change more accurate.
AI can simulate the impact of different climate conditions and predict extreme weather. This helps policymakers take steps to reduce the impacts of climate change.
AI technology has demonstrated strong potential in environmental monitoring. It not only improves environmental protection efficiency, but also supports forest conservation and climate change response.
AI Sustainability Case Study
In today’s society, AI technology has become the key to promoting sustainable development. We’ll look at some specific ways to achieve our goals through some case studies.
- Case Study: Apple’s Environmental ProgressApple showed off a video of their environmental progress. In one day, there were over 500,000 views. This is a testament to the significant progress they have made in sustainable technology and effectiveness.
- Case Study: Open AIAfter Open AI released ChatGPT, daily users reached 13 million. But GPT-3 training emits about 500 tons of carbon dioxide.This equates to 1.4 million miles on the car. It emphasizes the balance between efficiency and sustainability.
- Case Study: SenseTime’s Sustainable Development White PaperSenseTime has published a detailed “AI Sustainable Development White Paper”. It lays out ways to achieve sustainability goals in the field of AI.This white paper provides companies with important information for developing strategies.
Taken together, these cases illustrate multiple paths to achieving AI sustainability. They provide businesses with experience and technical support.
Companies can learn from these cases and develop strategies that suit them. This not only reduces the impact on the environment, but also increases efficiency.
in conclusion
This article explores the application of AI in promoting sustainability. First, the report points out that AI technology accounts for very little of global electricity consumption. This shows that we still have great potential to improve the way we use energy.
Although some AI models consume more energy, they have both positive and negative impacts on reducing greenhouse gas emissions. AI technology has shown great potential in saving energy and improving efficiency. For example, parallel driving and ecological driving technologies can reduce energy consumption.
In addition, the application of AI in retail and new technologies such as self-driving cars has shown its contribution to carbon reduction. But it also reminds us that we need corresponding policies and regulations to manage.
In the field of renewable energy, AI helps predict solar and wind power generation. This not only improves energy usage, but also promotes energy transformation.
This article highlights the potential and challenges of combining AI and sustainability. From now to the future, using AI to achieve sustainable goals requires a comprehensive strategy. This includes improving energy efficiency and reducing carbon footprint, but also adapting to technological and environmental changes.
FAQ
How does artificial intelligence promote sustainable development?
Artificial intelligence helps us better manage resources and improve the efficiency of energy use. It also reduces our carbon footprint. For example, in areas such as waste management and agriculture, AI technology provides intelligent solutions. These solutions help us protect the environment and achieve a sustainable economy.
How does technological innovation promote sustainable development?
Technological innovation enables businesses to digitally transform. This helps improve energy efficiency and reduce carbon emissions. Technological innovation also makes production processes more environmentally friendly. It enhances resource management capabilities through intelligent optimization and big data analysis.
How can AI be used in waste management?
AI uses image recognition technology to automatically classify garbage. This increases recycling efficiency and accuracy. Reduce resource waste and reduce negative impact on the environment.
How can artificial intelligence improve energy efficiency?
Artificial intelligence optimizes energy use through smart energy-saving devices and managing renewable energy systems. Like smart thermostats and wind energy management. This improves energy efficiency and reduces carbon emissions.
What are the applications of AI technology in agriculture?
In agriculture, AI helps predict crop yields and manage water resources. It also provides early warning against diseases and pests. These applications improve resource efficiency and reduce costs.
What advances can smart cities achieve using AI technology?
Smart cities combine AI and IoT technologies. These technologies have led to significant advances in the management of power grids and transportation systems. They help reduce traffic congestion, lower emissions, and use energy efficiently.
What is the role of AI in the circular economy?
AI promotes automatic garbage classification and resource recycling. This improves recycling efficiency and increases accuracy. At the same time, this also reduces manpower requirements and promotes resource recycling.
How can renewable energy be optimized using AI?
AI predicts the best time to generate electricity from wind and solar energy. It also predicts energy demand and supply, thereby increasing the stability of renewable energy sources. This supports continued energy development.
How can AI help reduce carbon footprint?
AI allows businesses and individuals to accurately monitor their carbon footprint. It helps us identify the largest sources of carbon emissions and provide solutions to reduce emissions. In this way, we can effectively reduce carbon emissions and achieve the goal of zero emissions.
How can companies enhance social value and corporate trust through AI technology?
Companies use AI technology to improve resource management and reduce environmental impact. This enhances corporate ESG performance and solidifies social trust. This promotes corporate brand value and credibility, and has a positive impact on the environment and social responsibility.
How is AI used in environmental monitoring?
AI technology tracks forest changes and monitors air quality. It helps us predict and respond to climate change more effectively by improving the accuracy of climate models.
Can you give some practical examples of AI sustainability?
For example, AI has been applied in smart energy systems to improve energy efficiency. In agriculture, it helps predict crop yields and manage water resources. In waste treatment, AI improves the efficiency of resource recycling through automatic waste classification.