The applications of AI in investments are extensive, ranging from research and responsible investment integration to data enhancement and investment communication. For example, machine learning models can enhance data management by reducing noise, ensuring that extensive data is not only usable but also relevant to investment processes. Moreover, AI technologies can mitigate decision-making biases and highlight hidden risks. 

A further benefit of this transformative technology is its potential to foster creativity. For example, within the research function, large language models (e.g., ChatGPT) can help create new sources of data, generate proprietary insights and inspire new research in fields, such as geopolitics, economic cycles and responsible investment. Ultimately, AI may enhance the overall investment expertise, paving the way for more informed investment decisions.

You can now read the full whitepaper at the link below