Liability, Governance, and AI: The Conversation the Industry Needs to Have Now

As AI moves from a productivity tool to an operational agent, flagging risks, and even influencing operational efficiency and asset planning decisions, a set of questions is emerging that the industry has not yet answered. As organisations begin to explore AI’s role in areas such as long-term asset strategy, capital planning, and investment prioritisation, including its growing connection to sustainability outcomes and capital allocation decisions, the implications extend well beyond efficiency gains.

Who is liable when an AI-driven decision goes wrong? How are professional standard bodies responding? How can organisations ensure that AI adoption is not only responsible but also environmentally and operationally sustainable, particularly when it begins to inform critical decisions around asset investment and infrastructure planning? And is the instinct to slow down on AI adoption a sensible risk strategy, or a competitive disadvantage in disguise?