This forward-looking session invited participants to imagine the state of RNome science in the year 2030. Discussions were structured around three guiding questions: what will we be able to do technologically, what will we know scientifically, and what will we have changed clinically and societally? From a technological perspective, the community envisioned single-molecule methods capable of identifying all isoforms and associated modifications at base-level resolution, with precision and error rates approaching those of DNA sequencing. Improved nanopore chemistries, novel ligases, and more sensitive mass spectrometry platforms were highlighted as areas for innovation. A critical milestone will be the establishment of robust community standards, including benchmarking of synthetic and biological RNA references across laboratories, enabling comparability and reproducibility. In terms of scientific knowledge, participants anticipated that by 2030, the field would have achieved comprehensive maps of modification distributions across tissues and cell types, including their spatial localisation and co-occurrence patterns. Importantly, the group emphasised the need to link modifications causally to RNA metabolism, translation, and protein abundance, with particular focus on the extent of crosstalk between different marks. Fundamental questions include whether modifications are heritable, how they vary across populations, and how they contribute to cell fate decisions. The clinical and societal vision is centred on the potential of RNA modifications as biomarkers and therapeutic targets. Participants highlighted applications in cancer, metabolic disorders, rare "RNA modopathies," and antimicrobial resistance, as well as translational opportunities in agriculture and biotechnology. The group emphasised that whether modifications are causal drivers of disease, manipulating them may enable therapeutic reprogramming of cells. A grand challenge proposed for the next 18 months was a systematic functional screen of all RNA modification enzymes, combining epitranscriptomic profiling with transcriptomic, genomic, and metabolic readouts. Such a resource would establish the foundation for understanding modification biology at scale. The session concluded with broad agreement that realising the vision of the Human RNome Project requires coordinated infrastructure, transparent data sharing, and an international commitment to standards and benchmarking.