Develop comprehensive plans and programs for use of land and physical facilities of jurisdictions, such as towns, cities, counties, and metropolitan areas.
U.S. Workers
43,040
Median Salary
$83,720
10-Year Growth
+3.4%
Annual Openings
3,400
Typical entry: Master's degree
19 of 19 tasks have some AI capability
Exposure Trend
This score reflects estimated AI technical capability for tasks in this occupation. It does not predict employment changes, and it does not account for company-specific constraints, regulation, or adoption barriers.
Recommend approval, denial, or conditional approval of proposals.
AI: Fully automatable - Given clear criteria and data, AI systems can reliably generate recommendations to approve, deny, or conditionally approve proposals as a decision-support output.
Keep informed about economic or legal issues involved in zoning codes, building codes, or environmental regulations.
AI: Fully automatable - AI systems can continuously monitor, aggregate, and summarize economic and legal developments in zoning, building, and environmental regulations at scale.
Identify opportunities or develop plans for sustainability projects or programs to improve energy efficiency, minimize pollution or waste, or restore natural systems.
AI: Fully automatable - AI can analyze energy, emissions, land-use and cost data to identify sustainability opportunities and generate implementable project plans and metrics.
Create, prepare, or requisition graphic or narrative reports on land use data, including land area maps overlaid with geographic variables such as population density.
AI: Fully automatable - AI and GIS tools can automatically produce maps overlaid with demographic variables and generate narrative reports from land-use datasets with little human intervention.
Hold public meetings with government officials, social scientists, lawyers, developers, the public, or special interest groups to formulate, develop, or address issues regarding land use or community plans.
AI: Partial - AI can support and partially facilitate public meetings (agendas, virtual moderation, summarization), but cannot fully assume the legal, ethical, and interpersonal responsibilities of convening and managing in-person public deliberations.
Design, promote, or administer government plans or policies affecting land use, zoning, public utilities, community facilities, housing, or transportation.
AI: Partial - AI can model scenarios, draft plans, and evaluate policy options for land use and zoning, but cannot fully handle the political advocacy, legal accountability, and stakeholder management inherent in promoting or administering government plans.
Advise planning officials on project feasibility, cost-effectiveness, regulatory conformance, or possible alternatives.
AI: Partial - AI can analyze feasibility, cost-effectiveness, and regulatory constraints and provide well-founded alternatives, but final advisory judgment and local/contextual decision-making remain human responsibilities.
Discuss with planning officials the purpose of land use projects, such as transportation, conservation, residential, commercial, industrial, or community use.
AI: Partial - AI can generate talking points, simulate discussions, and assist in meetings, but cannot fully replace the human relationship-building and authority needed for real-world negotiation with planning officials.
Conduct field investigations, surveys, impact studies, or other research to compile and analyze data on economic, social, regulatory, or physical factors affecting land use.
AI: Partial - AI can design surveys, process remote-sensing and socio-economic data and run impact analyses, but in-person field inspections and local contextual judgment remain difficult to fully automate.
Determine the effects of regulatory limitations on land use projects.
AI: Partial - AI can parse regulations, model constraints, and identify likely effects, but nuanced legal interpretation and discretionary policy judgment still require human oversight.
Advocate for sustainability to community groups, government agencies, the general public, or special interest groups.
AI: Partial - AI can craft persuasive materials, target messaging, and run outreach bots, but authentic community advocacy and trust-building in public forums cannot be fully automated.
Mediate community disputes or assist in developing alternative plans or recommendations for programs or projects.
AI: Partial - AI can facilitate dispute analysis, propose alternative plans, and support mediated processes, but hands-on mediation and emotionally sensitive conflict resolution need human facilitators.
Assess the feasibility of land use proposals and identify necessary changes.
AI: Partial - AI can run technical feasibility models and flag required changes, but final feasibility judgment often requires local context, stakeholder negotiation, and policy decisions by humans.
Supervise or coordinate the work of urban planning technicians or technologists.
AI: Partial - AI can coordinate schedules, track tasks, and provide management recommendations, but cannot fully replace the human leadership, personnel management, and accountability inherent in supervision.
Evaluate proposals for infrastructure projects or other development for environmental impact or sustainability.
AI: Partial - AI can analyze proposals, model environmental impacts, and suggest mitigation measures, but lacks full local regulatory judgment and stakeholder-contextual decision-making required for final evaluations.
Coordinate work with economic consultants or architects during the formulation of plans or the design of large pieces of infrastructure.
AI: Partial - AI can organize documentation, generate coordination plans and simulate design trade-offs, but cannot fully replace human negotiation, relationship-building, and interpersonal project management during large infrastructure design.
Review and evaluate environmental impact reports pertaining to private or public planning projects or programs.
AI: Partial - AI can systematically review EIRs, flag omissions and perform quantitative checks, but human experts remain necessary for legal interpretation, contextual nuance, and final certification.
Develop plans for public or alternative transportation systems for urban or regional locations to reduce carbon output associated with transportation.
AI: Partial - AI can model transportation scenarios, optimize networks and estimate carbon reductions, but creating implementable public/alternative systems requires political, financial, and community processes beyond AI alone.
Investigate property availability for purposes of development.
AI: Partial - AI can search listings and public records, analyze GIS and land-use constraints to identify candidate properties, but cannot perform physical site verification or fully resolve complex legal/title issues without human action.