AI Governance: Balancing Stakeholder and Shareholder Interests

🎓 Excited to share that my latest research, “AI Governance: Balancing Stakeholder and Shareholder Interests,” has been published in the International Journal for Multidisciplinary Research (IJFMR).

As artificial intelligence reshapes the corporate landscape, boards face an unprecedented challenge: how do we reconcile shareholder returns with broader stakeholder responsibilities in an AI-driven world?

My research proposes that this isn’t a zero-sum game. Through an integrative framework drawing on agency theory, stakeholder theory, and resource dependence theory, I argue that AI can serve as both catalyst and enabler—simultaneously highlighting stakeholder impacts while providing tools for enhanced transparency and multi-dimensional value creation.

Key contributions of this work:

🔹 A dynamic governance model reconceptualising fiduciary duties for the digital age

🔹 Four critical governance dimensions: structural mechanisms, process innovations, competency requirements, and accountability frameworks

🔹 The concept of “enlightened value maximisation” through AI-enabled governance

This research matters because corporate boards can no longer view stakeholder and shareholder interests as competing priorities. The digital transformation demands a more sophisticated approach—one that leverages AI’s capabilities to create sustainable value for all constituencies.

📄 Full paper available at: https://www.ijfmr.com/research-paper.php?id=64772