By analyzing production and consumption data, AI can enhance supply chain efficiency and minimize wastage. In this chart we compare the industrial progress worldwide (including construction), observing the value added per worker (constant 2010 US$).

This perspective offers a real-time view of the worldwide news on industrialisation-related topics, providing us with a media perspective on the progress at the different fronts of SDG 9.

A SDG Live Report is what it is all about! Here, you can have a real-time perspective of the state of the world in regard to AI and sustainability, tracking some of the main issues to address in the near future.

 

AI has had a profound impact on the progress of Sustainable Development Goal 9 (SDG 9), which focuses on building resilient infrastructure, promoting inclusive and sustainable industrialization, and fostering innovation. Between 2015 and 2023, there have been 492,543 scientific publications exploring the role of AI in these areas. These studies underscore AI’s potential to revolutionize industrial processes, enhance infrastructure management, and drive technological innovation. AI technologies have been pivotal in optimizing supply chains, improving manufacturing efficiency, and enabling predictive maintenance of infrastructure. With 314,686 news articles covering the impact of AI on SDG 9, there is substantial public awareness and interest in how AI is transforming industry and infrastructure. Furthermore, the development of 1,656 AI policies targeting SDG 9 highlights a significant commitment from policymakers to integrate AI into industrial and infrastructural strategies, ensuring sustainable development and innovation.

Looking ahead, the next 5 to 10 years are expected to see further advancements in AI applications for industry and infrastructure. AI-driven innovations will continue to enhance manufacturing processes through automation and real-time data analytics, leading to increased efficiency and reduced environmental impact. The deployment of AI in smart infrastructure will improve urban planning and resource management, enabling cities to become more sustainable and resilient. Additionally, AI will play a crucial role in advancing research and development, fostering a culture of innovation that drives economic growth. Policymakers will need to focus on creating an enabling environment for AI adoption, addressing challenges such as data privacy and cybersecurity. Collaboration between governments, industry stakeholders, and research institutions will be essential to ensure that AI-driven advancements contribute to inclusive and sustainable industrialization, aligning with the goals of SDG 9. As AI technologies continue to evolve, their integration into infrastructure and industry will be key to achieving a sustainable and innovative future.

Here is your window to the impact of AI in Industry. This dashboard is configurable and can be integrated into other systems to bring actionable technology into the systems of research institutions, governments and enterprises that are willing to make a difference.

 

Avoiding data bias in AI systems is crucial to ensure fair, accurate, and equitable outcomes, preventing the reinforcement of existing inequalities and enabling more trustworthy and inclusive technologies. Here you will see a dashboard analysing the bias related to the data ingested in this observatory for SDG 9.