The ECMWF preprint details a five-year iterative process that cut revenue targets annually while expanding the open data tier under CC BY 4.0, using internal administrative records from 2014-2025 as its sole evidence base. This methodology offers operational transparency but lacks external validation or quantitative forecasting metrics, limiting claims of broad replicability. Beyond the paper's focus on compliance relief and download growth, the transition directly supports WMO Resolution 40's data exchange principles and the EU Open Data Directive's push for public-sector information reuse. It also intersects with the rapid rise of AI models such as GraphCast and FourCastNet, which now generate competitive forecasts from open inputs, raising the sustainability question the authors flag only briefly. Mainstream coverage has overlooked how the retained paid Service Agreements (93 percent retention) subsidize global distribution infrastructure that smaller national services cannot replicate, creating a new dependency rather than pure equity. Limitations include the short six-month post-transition window and annual contract cycles that may mask later attrition once AI alternatives mature.