Artificial Intelligence, a key driver for business sustainability in 2025
At Patio Campus, we are convinced that technology and sustainability must go hand in hand to build a more responsible and efficient future. In this sense, artificial intelligence (AI) has become a fundamental tool to promote sustainability in the business and social environment.
According to a report from the United Nations Global Compact, artificial intelligence and broadband could contribute up to 24% to meeting the Sustainable Development Goals (SDGs) at the global level. This means that smart technologies can accelerate advances in key areas such as clean energy, sustainable cities, responsible production and climate action.
AI allows companies to optimize their production processes through the advanced analysis of data in real time, which translates into a more efficient use of natural resources. For example, the implementation of intelligent energy management systems can reduce electricity consumption by up to 30%, while AI-based logistics optimization reduces transportation-related CO2 emissions.
Transparency and ESG risk management
In addition, AI facilitates the collection and analysis of data for more rigorous management of ESG (environmental, social and governance) factors. This helps companies to identify risks and opportunities more precisely, strengthen transparency with investors and customers, and comply with increasingly demanding sustainability regulations.
Challenges and responsibility in the use of AI
However, the rapid development of AI also poses environmental challenges. Training large artificial intelligence models consumes large amounts of energy, and the generation of electronic waste remains a problem to be addressed. For this reason, the World Economic Forum emphasizes the need to adopt responsible AI policies, which balance innovation and sustainability.
Success stories and innovative projects
A pioneering example of the use of AI for environmental conservation is the University of León project, which is developing a 'digital twin' of a poplar (ash forest) to study its biodiversity and support the sustainable management of ecosystems through predictive models.
In the construction sector, recent events such as Construmat 2025 have shown how AI is revolutionizing energy efficiency and the reduction of emissions, integrating intelligent sensors and predictive analysis to create more sustainable buildings.
