Using a GPT-4 based lobbying AI chatbot to predict relevance and positionality on policy issues: A proof of concept study

In an era where generative AI is reshaping business landscapes, this paper delves into the transformative impact of OpenAI's latest iteration, ChatGPT (GPT-4), on corporate lobbying. In particular, our study explores a novel application in the realm of policy advocacy. We draw on the work of Nay (2023), who utilized GPT-3 to mimic a corporate lobbyist's role, and extend this concept using GPT-4's enhanced natural language understanding (NLU) and generation (NLG) capabilities. Our proposed implementation is industry-agnostic, aiming to provide a versatile tool for corporate lobbyists to anticipate policy relevance and define company (member) stances effectively. This research critically examines GPT-4's ability to accurately navigate and adapt to the diverse policy interests and positions across multiple industries. Our proof-of-concept study aims to contribute to the academic dialogue on AI's integration into corporate policy advocacy, focusing on the practical implications of AI-enhanced lobbying efforts. By leveraging GPT-4's advanced functionalities, this industry-neutral approach represents a significant step towards automating sophisticated, context-sensitive tasks traditionally handled by human experts. This shift heralds a new paradigm in corporate influence and persuasion within public policy, challenging existing frameworks and opening up novel avenues for discussion and exploration.