Develop marketing materials, proposals, or presentations to generate new work opportunities.

“Develop marketing materials, proposals, or presentations to generate new work opportunities.” is a core task performed by Landscape Architects. Among the occupation's 19 rated tasks, workers place it 6th by importance (#14 most important). About 100% of workers say it is relevant to their job.

This is a single occupation-specific task statement from O*NET. The figures below describe how central the task is to the job and what independent studies measure about AI and this kind of work — not a prediction that the task will be automated.

Work activities this task rolls up to

O*NET groups concrete tasks into broader work activities shared across many occupations.

• Promote products, services, or programs. in Selling or Influencing Others

AI exposure

The OpenAI / Eloundou “GPTs are GPTs” study rates this task E2. Exposure with tools — software built on top of a language model (not the model alone) could cut the time by at least half.

Exposure measures whether a model could meaningfully speed the task up — it is an estimate of overlap with model capabilities, not a measure of whether the work will be done by software. The study's intermediate score (β) for this task is 0.50. Automation potential label: T2.

How AI is actually used on this kind of task

The Anthropic Economic Index observes how people actually use AI on tasks like this one across millions of real conversations.

• 0.028% share of AI-use records mapped to this task
• 89% of that use is work-related
• Most common interaction: task iteration
• Average autonomy of the AI: 3.5 (1–5; higher = more autonomous)
• 97% of interactions still needed a human in the loop

Observed AI use describes people choosing to use AI as a tool on this kind of task today. It is augmentation and assistance, not a measure of jobs replaced.

Working with AI vs. handing it off

Of the AI conversations mapped to this task, the split between people working alongside AI and people delegating the task to it.

How people interact with AI on this task

Other tasks in this occupation

• Confer with clients, engineering personnel, or architects on landscape projects. · importance 4.8
• Analyze data on conditions such as site location, drainage, or structure location for environmental reports or landscaping plans. · importance 4.5
• Prepare site plans, specifications, or cost estimates for land development. · importance 4.4
• Inspect landscape work to ensure compliance with specifications, evaluate quality of materials or work, or advise clients or construction personnel. · importance 4.4
• Integrate existing land features or landscaping into designs. · importance 4.4
• Collaborate with architects or related professionals on whole building design to maximize the aesthetic features of structures or surrounding land and to improve energy efficiency. · importance 4.3
• Prepare graphic representations or drawings of proposed plans or designs. · importance 4.2
• Inspect proposed sites to identify structural elements of land areas or other important site information, such as soil condition, existing landscaping, or the proximity of water management facilities. · importance 4.0
• Create landscapes that minimize water consumption such as by incorporating drought-resistant grasses or indigenous plants. · importance 4.0
• Collaborate with estimators to cost projects, create project plans, or coordinate bids from landscaping contractors. · importance 4.0
• Develop planting plans to help clients garden productively or to achieve particular aesthetic effects. · importance 3.9
• Present project plans or designs to public stakeholders, such as government agencies or community groups. · importance 3.8
• Manage the work of subcontractors to ensure quality control. · importance 3.8
• Prepare conceptual drawings, graphics, or other visual representations of land areas to show predicted growth or development of land areas over time. · importance 3.6

See all tasks on the Landscape Architects page.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

Data compiled June 2, 2026. Figures are estimates, not advice.

@misc{singulariki-task-20372,
  title  = {Develop marketing materials, proposals, or presentations to generate new work opportunities.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/tasks/task-20372}
}