Digitalization Inequality in the Age of ChatGPT

Abstract: We live in the age of digitalization, where Open Artificial Intelligence (OpenAI) tools like ChatGPT epitomize the speed and scope of digital disruption. Never before have humans delegated so much decision-making, communication and knowledge production to AI systems. Generative AI models are now used by nearly three-quarters of the productive workforce in the Western world. AI tools demonstrate the promise of digital innovation that revolutionizes every aspect of human productivity. Practitioners and scientists have also warned about potential ethical downfalls in the wake of a fast AI model generation and adoption by the market. This article concerns potential inequalities in the eye of generative AI. For one, economic advantages are likely to occur in economies that have access to generative AI and foster the adoption broad-based. An already slowbalising world trade trend could thereby be exacerbated and thereby roll back all international development accomplishments that have been made throughout the previous opening of the world in economic trade. For another, Generative AI is favoring positive reinforcement, making it harder for more dry-humored and cynical cultures to survive. Already now, some languages are being abandoned from the repertoire compared to others, given the relatively more frequent use of negative connotations and negative reinforcement, as well as thumb-down button pushing, which cynically promotes negativity. Cultural warfare could be waged by certain cultures trying to eradicate other cultures or algorithms being trained to send negative signals in certain discussion silos in order to make them being pushed down and abandoned in the digital evolution age. Lastly, Large Language Models (LLMs) being the gist of OpenAI sparks the concern over replication of given ideas and reiteration of the common body of knowledge. ChatGPT may erode human ingenuity and intelligence formation, as well as creative new content creation, by just reiterating what is already known. This may make human creativity more precious in the long run and create job opportunities for those who contest ChatGPT and refine it with the human ingenuity touch or the creative edge replication misses. The discussion ends with clear guidelines on how to overcome the raised OpenAI challenges. Keywords: Artificial Intelligence (AI), behavioral economics, behavioral insights, digitalization, digi-disruption, economic growth, market disruption, public policy, teaching, technology, technological changes