To answer this question, I would like to talk about the possibilities of generating realistic videos that can show the worst part of climate change. If we learn how to use it properly, it would be a really good way to teach other citizens by setting short videos or stories, incredibly realistic that could also “scare” our societies. In this case the more realistic the better! Therefore, AI only needs a good prompt to work on its own, so it would not take so much for the content creators; at the same time, governments would not need so much money for projects either, because they would only need a good app to produce each piece of creative content.
Climate change. We worked with a local recycling company that struggled with increased exhaust emissions. By using AI, we analyzed hundreds of operating parameters and identified which ones had the greatest impact on the results. The analysis revealed, for example, that a new filter manufacturer was a key contributor to the problem. In general, AI will enable us to identify the sources of environmental problems more precisely and help us adjust production lines to reduce their environmental impact. Moreover, AI can support the development of new alternatives and improved workflows that replace processes contributing to climate change. Living with the effects of climate change is particularly challenging for many developing economies. AI may help by improving the prediction of natural disasters, identifying emerging health risks, and supporting better preparedness overall. Empowering developing economies with AI will help strengthen education, social systems, and other key sectors, while also providing new tools to address national environmental and climate challenges. Healthcare. AI will monitor our personal health from multiple perspectives and support us in leading healthier lives. It can help identify health challenges at an early stage. Many people already use chatbots as personal advisors for emotional and mental support. While chatbots can be helpful, dedicated and specially trained AI systems would be better suited for this purpose. Such systems are available 24/7 and can assist users in reflecting on their situation and accessing the help they need. In drug development AI will play an increasingly important role. "Artificial intelligence in drug development", recently published (2025) in nature medicine magazine, gives examples like: disease targets, drug discovery, preclinical and clinical studies, and post-market surveillance. https://www.nature.com/articles/s41591-024-03434-4 Today, AI is used to design better prosthetics, improve joint replacements, and create implants that adapt to the user’s movement patterns. AI is becoming an important tool for supporting blind and visually impaired people, and its role will likely grow. Examples are : AI-powered cameras, smart glasses can describe surroundings, read text aloud, and recognize faces. New agentic AI solutions, combined with tools like n8n, Make, and Zapier, allow users to carry out complex tasks simply by describing a goal. These systems coordinate entire workflows of tools and AI agents to solve the challenge — for example, helping a user identify and purchase the most affordable laptop within a specific price range. Maybe a final remark: Our dependence on solutions provided by the United States and China is becoming increasingly challenging. Recent internet disruptions, such as the Cloudflare outage, resulted in major service failures worldwide. Privacy is also under pressure, and it is difficult for American companies to withstand political influence. Europe therefore needs to strengthen its “digital sovereignty” to ensure security, privacy, and long-term service stability.
In the field of climate change, AI can help analyze large amounts of data and make more accurate forecasts. This makes it possible, for example, to better predict weather developments or to control energy consumption more efficiently. AI is certainly a helpful tool here, but in my opinion it will not be able to solve climate change alone. Especially when it comes to climate change, however, the high energy consumption of many AI systems must also be critically questioned. Large data centers in particular require enormous amounts of electricity and water. If this energy does not come from sustainable sources, AI itself can become a burden on the environment. Therefore, the use of AI in the climate sector should be designed responsibly. I rate the chances of AI in healthcare much higher. AI can be a great support, especially in the early detection of diseases. It can help to find suitable treatment options and to better adapt individual therapies. Research into new drugs can also be accelerated by AI, as large amounts of research data can be analyzed more quickly. AI also offers many opportunities in the field of food security. The use of fertilisers and pesticides could be controlled in a more targeted manner, and irrigation systems could also be used more efficiently. This can optimize agricultural yields and conserve resources. In addition, AI can be used in some regions to make knowledge accessible via digital platforms. This knowledge can help to achieve better harvest results and improve food security in the long term.
The greatest opportunities lie where large amounts of data can be evaluated more quickly and better decisions can be prepared. In the climate sector, AI can help to optimise energy consumption, control grids more efficiently or detect environmental changes at an earlier stage. In the healthcare sector, it can support diagnostics, prevention and research. In agriculture, AI can help to use water, fertilizer and land in a more targeted manner and make yields more stable. Their greatest benefit lies in using limited resources more intelligently.
I don't think that current AI is able to tackle any of the mentioned global issues, because these issues have systemic roots and cannot be solved by a mere tool operating in the confines of the very same system. Looking at alternative systems that make use of AI to prevent man-made catastrophies and injustices, the work of Jacque Fresco would be a good starting point, who suggested a computer based survey of earth's ressources and an AI based distribution system, making away with the need for money as the dominant supply-and-demand indicator as well as incentive.
I don’t see such a direct influence, but rather, I see the opportunity to empower scientists and groups of people who strive every day for the betterment of all humans. I know personally people who work in biotechnology and have been pushed further in their research capacities thanks to advances in AI, for example, for sequencing genomes way faster than ever before in history.
The biggest opportunities are in areas with large amounts of data and urgent decisions. AI can help predict climate risks, optimize energy use, and support smart cities. In healthcare, it can assist diagnosis and improve systems. In food security, it can help farming, reduce waste, and improve logistics. AI is a tool, but people must use it wisely.
AI is currently strong in digital professions, where tasks are digitally defined: you have files, documents, and software systems, and you need to perform a task within them to produce files as a result. It’s only a matter of time before AI surpasses humans in these areas, and in many tasks, it already does. For example, in healthcare, when analyzing test results, symptoms, and making diagnoses, AI works very, very well. In the physical world, where you have to do something with your hands and in coordination with other people, AI isn’t very advanced. For example, if you need to renovate an apartment (bathrooms, walls, flooring, furniture), AI is of very little help there. In the long term, I expect AI and robotics to automate a large portion of repetitive human activities—manufacturing, agriculture, construction, transportation—and thus help address humanity’s global challenges.
