Recreational and charter fisheries are difficult to monitor, with data collection resource-intensive, inconsistent, and fragmented across jurisdictions. While commercial fisheries and other sectors have made strides in AI deployment, the recreational and charter sector has lagged behind, leaving a gap in fisheries-independent data on effort, catch, and facility use. AI-supported systems offer a pathway to more cost-effective, consistent, and scalable monitoring. However, similar problems are often being solved independently across jurisdictions, with similar tools developed in isolation. As these systems grow more powerful and widely adopted, there is a need to align efforts and begin sharing tools, data, and knowledge rather than duplicating them. To address this need, we held a national workshop online in June 2026, bringing together over 40 researchers, fisheries managers, and technologists from across Australia to take stock of the landscape and agree on next steps for coordinated progress. The workshop found that AI-supported applications span catch monitoring, boat ramp and vessel activity, and facility use, using approaches from fixed and solar-powered cameras to satellite imagery and licence plate recognition. Most systems remain at pilot stage, but camera-based methods show strong potential for species identification, length estimation, tracking facility use, and cost savings relative to conventional surveys. Participants identified challenges spanning data and model limitations, infrastructure and deployment constraints, governance, and social licence. Convergence emerged around shared priorities, including annotated image repositories, interoperable data standards, and coordinated national governance, to reduce duplication while preserving flexibility for local contexts. This presentation shares the workshop's outcomes, including the case for a national working group, shared infrastructure and standards, and stronger engagement across agencies, sectors, and stakeholders. Moving from isolated, project-specific development toward shared, adaptive infrastructure will be key to building resilient, enduring monitoring systems that can keep pace with growing demands for timely, high-quality data on this sector.