The hydrogen economy's rapid scaling demands a solution to a fundamental challenge: how can electrolyser manufacturers provide customers with genuine confidence in twenty-year cost projections when next-generation technologies are constantly evolving? This article explores how artificial intelligence applied to electrochemical impedance spectroscopy (EIS) data bridges the critical gap between cutting-edge innovation and operational certainty. Rather than relying on manual interpretation of complex diagnostic data, AI-enabled analysis systematically transforms electrochemical signatures into predictive intelligence about stack degradation, remaining useful life, and total cost of ownership. By compressing learning cycles and extracting maximum insight from limited operational data, this approach removes one of the hydrogen industry's most significant barriers to deployment: the financial unpredictability that project developers face when adopting world-leading electrolyser technology.

Technology will play a major role in decarbonising the aviation industry, and hydrogen is set to be a significant part of that future. Here’s how.

Two Australian startups — Sydney-based Calyx.eco and Brisbane-based Endua — have been named finalists in the 2025 PepsiCo Greenhouse Accelerator APAC Program.