We are entering a new era in Earth observation, where artificial intelligence (AI) is helping scientists and researchers analyze an overwhelming amount of data collected by private companies. This data, gathered from satellites orbiting Earth, is being used to monitor everything from natural disasters like floods and earthquakes to human activities such as illegal fishing. However, this technological leap also brings challenges, particularly around privacy, security, and the ethical use of such powerful tools. For decades, satellites have been monitoring Earth from space, capturing images of our planet's surface, weather patterns, and even atmospheric changes. Today, these satellites are more advanced than ever, thanks to improvements in technology like optical systems, cloud computing, and AI. The Organization for Economic Co-operation and Development (OECD), a Paris-based international organization, recently published a report highlighting how these advancements are making satellite data more accessible and useful, but also raising concerns about misuse. The report notes that while the same satellite data can be used to track environmental issues, it can also be used to monitor military movements, a dual-use capability that poses risks to national security and privacy. The growing availability of high-quality satellite data has also led to new challenges, such as the potential for fake or misinterpreted imagery. As part of the broader issue of digital disinformation, the OECD warns that trust in satellite data could be undermined by manipulated images or incorrect analysis. This concern is not just theoretical — it has real-world implications for decision-making, from disaster response to national security planning. Viktor Stoyanov, chief operating officer of Space42, a space technology company based in the United Arab Emirates, explains that the demand for Earth observation is reshaping how governments and private firms collaborate. Space42 operates a constellation of synthetic aperture radar (SAR) satellites, which can capture images even through clouds, dust, and darkness. These satellites are crucial in regions like the Middle East, where weather conditions can hinder traditional imaging. Stoyanov emphasizes that the shift from large, general-purpose satellites to smaller, specialized ones is a game-changer, allowing for more frequent and accurate observations. Looking ahead, Stoyanov says that the relatively short lifespan of satellites in low Earth orbit presents an opportunity for continuous upgrades and improvements. Meanwhile, AI is becoming essential for analyzing the massive amounts of data generated by these satellites. Without AI, it would be impossible to extract meaningful insights quickly enough to support urgent decisions, such as responding to a natural disaster or supply chain disruption. As AI improves, it is helping to bridge the gap between the vast data collected and the practical needs of users, ensuring that insights are delivered in real time.