Foresters
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Manage public and private forested lands for economic, recreational, and conservation purposes. May inventory the type, amount, and location of standing timber, appraise the timber's worth, negotiate the purchase, and draw up contracts for procurement. May determine how to conserve wildlife habitats, creek beds, water quality, and soil stability, and how best to comply with environmental regulations. May devise plans for planting and growing new trees, monitor trees for healthy growth, and determine optimal harvesting schedules.
The occupation of "Foresters" has an automation risk of 47.2%, which is only slightly below the base risk of 48.0% for comparable jobs. This relatively moderate risk reflects a balance between tasks that could be automated and those that remain challenging for machines. Many of the procedural or administrative aspects of forestry—such as monitoring contract compliance and the outcomes of forestry activities to ensure adherence to government regulations—are repetitive and rules-based, making them susceptible to automation. Likewise, tasks like negotiating terms and conditions in agreements and contracts, as well as planning and implementing conservation projects for wildlife habitats and soil or water quality, often involve data-driven decision-making and standardized procedures that could be partially handled by AI or specialized software. However, several core aspects of forestry are notably resistant to automation. For example, developing new techniques for wood or residue use requires high levels of originality and creativity, posing a significant bottleneck for AI systems. Furthermore, the process of contacting local forest owners and obtaining permission to inventory timber involves human relationship-building and negotiation skills, which are difficult for machines to replicate effectively. Monitoring wildlife populations and assessing the ecological impacts of forest operations often requires on-the-ground expertise, contextual judgment, and adaptability—areas where current AI capabilities are still limited. These resistant tasks help to lower the overall automation risk for the occupation. A key factor bottlenecking automation in forestry relates to the skill of originality, which is cited twice with levels of 3.3% and 3.6%. These percentages indicate that a small but crucial portion of the work done by foresters depends on original thinking and innovation. Developing new methods for sustainable forestry or adapting practices to unique local environments are complex endeavours that require creative problem-solving and domain-specific insight. While automation and AI technologies can assist with routine data analysis and compliance monitoring, their ability to generate novel ideas or forge new relationships remains constrained. As a result, the need for original thinking and creative intervention preserves a substantial human role in forestry, thus keeping the automation risk below the base level.