Generative AI (GAI) has become a highly sought-after technology for businesses, with the potential to add $4.4tn to the global economy, according to McKinsey. However, there is a risk that companies may invest in GAI without fully understanding how it can align with their business goals. The field of GAI is rapidly evolving, with new approaches, methods, and applications emerging. Yet, our understanding of how GAI can deliver business value is not progressing at the same pace.
To avoid GAI becoming a solution in search of a problem, business leaders need to enhance their knowledge of the technology before applying it to their tasks. By understanding the advantages and disadvantages of GAI, coupled with their existing knowledge of business operations, leaders can identify suitable challenges to explore. It is important to note that GAI is not a cure-all, but it can be incredibly powerful when applied to the right problem. Additionally, while the democratization of technology is beneficial, companies should not blindly adopt GAI without considering how it can future-proof their business.
