Managers and proprietors in forestry, fishing and related services

determines financial, staffing and other short- and long-term needs

AI tools like Microsoft Copilot can assist with financial modelling, workforce planning and scenario analysis, but final decisions require local knowledge and human judgment.

arranges rearing and feeding and ensures health of fish stocks

AI-driven aquaculture monitoring systems can track feeding patterns, water conditions and fish health indicators, alerting managers to issues, though intervention and care decisions remain human.

plans fishing voyages, maintains vessel/s and equipment and oversees operational safety

AI tools can optimise voyage routing using weather and fish stock data (e.g. Satlink or similar maritime platforms), but vessel safety oversight and real-time decision-making remain human responsibilities.

arranges for sale of catch, liaises with onshore agents

AI can assist with market price analysis, demand forecasting and communication drafting, but negotiating sales and managing agent relationships requires human judgment and trust.

plans and directs the establishment and maintenance of forest /woodland areas and regularly inspects forest work

AI-powered GIS tools and platforms like Esri ArcGIS can assist with forest planning, growth modelling and inspection scheduling, though on-the-ground oversight remains essential.

oversees facilities such as visitor centres, nature trails, footpaths, etc.

AI tools can assist with visitor flow analysis, maintenance scheduling and accessibility planning for facilities, but operational oversight and visitor safety require human presence.

selects suitable breeding grounds for shellfish, sea and freshwater fish and purchases stock

AI can analyse water quality data, environmental conditions and stock performance to support site selection decisions, but physical site assessment and purchasing negotiations are human-led.

oversees maintenance of equipment and fish habitats

AI can support predictive maintenance scheduling and equipment monitoring via IoT sensors, but physical inspection and hands-on maintenance require skilled human workers.

ensures observance of maritime laws and international fishing regulations

AI can help monitor and flag regulatory changes, automate compliance documentation and track catch quotas, but legal accountability and enforcement decisions remain with the human manager.

decides, or advises on, type of animal to be bred and/or trained, and selects, buys and trains animals accordingly

AI can provide data on breed performance, genetics and market trends to inform decisions, but selecting, buying and training animals requires direct physical assessment and expertise.

liaises with neighbouring landowners, contractors and local authorities

AI can help draft correspondence or summarise regulatory documents, but relationship management with landowners, contractors and authorities requires human negotiation and trust-building.

manages and trains staff

AI can support training material creation or scheduling, but hands-on staff management, mentoring and interpersonal leadership remain fundamentally human activities.