AI Opportunities in Energy Infrastructure Development in the Greater Bay Area

Ir Queenie Chan is the General Manager – Business Transformation and Enquiry of The Hong Kong and China Gas Company Limited (Towngas). She leads the Customer Service Hotline and the Business Transformation team, driving strategic transformation initiatives across Hong Kong Business. With over 20 years of leadership experience spanning customer service, sales and marketing, business analytics, and transformation, she has played a pivotal role in strengthening a data-driven culture and accelerating business and digital transformation. She also spearheads the development and adoption of AI initiatives to enhance operational efficiency, elevate customer experience, and foster innovation across the business.
She is a Chartered Engineer of The Hong Kong Institution of Engineers. She holds a Bachelor of Engineering in Industrial and Manufacturing Systems Engineering from The University of Hong Kong, as well as a Master of Science in Business Management from The Hong Kong Polytechnic University.

My Sustainability Goals for 2026:

First, to build smarter and more resilient energy infrastructure, especially using AI for predictive maintenance, risk monitoring and operational optimisation.

Second, to use AI and digital tools to drive energy efficiency, so that we reduce waste and make better use of existing resources.
And third, to strengthen Greater Bay Area collaboration, combining Hong Kong’s strengths in governance, finance and standards with the technology and infrastructure capabilities of other GBA cities.

Vincent Mok leads Hartley McMaster’s Asia-Pacific practice and co-chairs the Energy & Utilities Committee of the Artificial Intelligence Association of Hong Kong. At Hartley McMaster he directs the firm’s decision-science and AI consulting, leading teams that quantify capital allocation, optimization and risk for asset-intensive operators, building on the firm’s 23 years of work in water, energy, aviation and transport. His current focus is the decision layer above operations: how operators turn data into optimized and defensible capital and maintenance portfolios, and whether climate and resilience risk is actually priced into capital plans. He is the creator of SAM-DD, Hartley McMaster’s strategic asset management due diligence methodology for infrastructure investors.

My Sustainability Goals for 2026:

1. To see ESG and climate risk move from disclosure to decision: quantified, monetized, and embedded in the capital-allocation frameworks of asset-intensive operators and their investors. A risk that appears in a sustainability report but not in the capital plan is not yet being managed, and in 2026 the gap between the two is still wide.
2. To see APAC utilities regulators create the conditions for AI-supported capital decision-making, because the energy transition is above all a capital-allocation challenge. Grid reinforcement, renewables integration, and climate adaptation all compete for constrained capital, and AI-supported decision-making gets measurably more decarbonization and resilience from every dollar invested. Regulatory frameworks that recognize data quality and decision auditability would accelerate that shift; today they lag well behind what the technology makes possible.