Artificial intelligence (AI) and machine learning (ML) are rapidly advancing technologies that are changing the way we live and work. These technologies are being applied in a wide range of industries and are having a significant impact on the European and global environment. Some of the ways that AI and ML are impacting the environment include:

1. Energy: AI and ML are being used to optimize energy consumption and improve the efficiency of energy systems. This can help to reduce greenhouse gas emissions and lower energy costs.
2. Transportation: AI and ML are being used to improve the efficiency and sustainability of transportation systems. For example, self-driving cars and intelligent transportation systems can help to reduce fuel consumption, lower emissions, and improve traffic flow.
3. Agriculture: AI and ML are being used to improve crop yields, reduce water usage and minimize the use of fertilizers and pesticides. This can help to reduce the environmental impact of agriculture and improve food security.
4. Waste Management: AI and ML are being used to optimize waste collection and recycling systems. This can help to reduce the amount of waste that ends up in landfills and improve the efficiency of recycling and composting.
5. Climate change: AI and ML are being used to monitor and model the impacts of climate change, such as sea-level rise, storm surges, and temperature changes, as well as to predict future changes.
6. Forest Conservation: AI and ML are being used to monitor deforestation, detect illegal logging, and track the health of forests. This can help to protect and preserve forests, which play a vital role in regulating the global climate.
7. Energy Generation: AI and ML are being used to optimize energy generation from renewable sources such as solar, wind and hydroelectric power, making them more efficient and cost-effective.

However, it’s worth noting that the use of AI and ML also has some negative impacts, such as energy consumption, data privacy, and job displacement. It’s important to ensure that the benefits of these technologies are balanced with the potential risks and negative impacts they may have on the environment.

How the AI and ML influence on the job market?

• According to a study by the European Commission, around 20% of jobs in the EU are at high risk of automation, and an additional 40% are at medium risk.
• However, the study also estimates that the deployment of AI and ML could create 2.4 million new jobs in the EU by 2030.
• In the UK, a study by the Royal Society for Arts, Manufactures and Commerce estimates that AI and ML could displace up to 20 million jobs in the country by 2030, but could also create 7 million new jobs.
• According to a report by the McKinsey Global Institute, AI and ML could add $13 trillion to global GDP by 2030, but could also displace up to 375 million jobs globally by that time.
• A report by the World Economic Forum estimates that by 2022, AI and related technologies could displace 75 million jobs globally, but could also create 133 million new jobs.
• A study by PwC estimates that by 2030, AI could boost global GDP by up to 14% and create 7.2 million jobs in the US alone.
• According to a study by the Organization for Economic Cooperation and Development, the most affected sectors by job displacement due to automation are the manufacturing, retail and wholesale trade, and accommodation and food services.

It’s important to note that, these projections are based on current trends and they can change depending on the policies and actions taken by governments and companies. Also, the impact of AI and ML on the job market can vary depending on the specific industry and country, with some sectors and regions likely to be more affected than others.