Artificial Intelligence is now one of the most important catalysts of global digital transformation. Its impact is not limited to automating processes or improving productivity, but extends to the ability to address some of humanity’s greatest challenges. In this context, the connection between Artificial Intelligence and the UN’s 17 Sustainable Development Goals (SDGs) is becoming increasingly important.

The possibilities are impressive. In the field of health, AI enhances the early diagnosis of diseases, supports personalized treatment, and accelerates the development of new drugs. In agriculture, it helps optimize production, conserve water, and effectively control crop diseases. At the same time, in the energy and environmental sectors, it can predict climate change, improve the management of renewable energy sources, and reduce the waste of natural resources. Equally important is its contribution to the economy and business. The use of smart algorithms enables the optimization of the supply chain, reduce operating costs, enable predictive equipment maintenance, and facilitate more effective strategic decision-making. Technology can also enhance transparency, detect fraud, and contribute to more effective corporate governance, while supporting ESG goals.

However, the picture is not one-dimensional. The same technology that creates new possibilities also carries significant risks. Training large AI models requires massive energy infrastructure, which increases the environmental footprint when sustainable energy sources are not used. At the same time, automation can lead to job losses, particularly in low-skilled occupations, thereby widening social and economic inequalities. Issues of algorithmic bias, personal data protection, and transparency in decision-making systems are also of particular concern. A system trained on incomplete or biased data may reproduce discrimination against specific social groups, undermining fundamental principles of equality and justice. Similarly, the growing use of AI in critical sectors requires enhanced cybersecurity safeguards and effective accountability mechanisms.

At this stage, it is estimated that the greatest contribution of Artificial Intelligence lies primarily in goals related to industry, innovation, and economic development. In contrast, goals such as reducing inequalities, gender equality, and environmental protection continue to receive less attention, highlighting the need for a more balanced use of the technology.

The challenge, therefore, is not whether we will use artificial intelligence. The real challenge is how we will manage it. We need strong governance frameworks, transparency, human oversight, accountability, and ongoing investment in digital literacy and workers’ skills. Artificial Intelligence is not a panacea. However, it is an extremely powerful catalyst for change. If developed responsibly and with a human-centered approach, it can be one of the most important tools for achieving the Sustainable Development Goals and creating an economy that is more equitable, resilient, and sustainable economy for future generations.