Often handed to AI
Task areas most often handled directively in observed AI conversations — candidates to delegate with light review.
- Develop curriculum and prepare manuals, visual aids, course outlines, and other materials used in teaching. · 1.5%
Occupation · SOC 29-1031.00
Plan and conduct food service or nutritional programs to assist in the promotion of health and control of disease. May supervise activities of a department providing quantity food services, counsel individuals, or conduct nutritional research.
Also called: Clinical Dietitian · Dietitian · Nutritionist · Registered Dietitian · Clinical Dietician · Clinical Nutritionist · Oncology Dietitian · Outpatient Dietitian · Registered Dietician · Renal Dietitian · Administrative Dietitian · Community Dietitian
Job family: Healthcare Practitioners and Technical Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-29-1031-00/context.md directly.
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
Task areas most often handled directively in observed AI conversations — candidates to delegate with light review.
Task areas where people work with AI — iterating, learning, or checking — staying in the loop rather than handing the task off.
Task areas where a human was still judged necessary in a large share of observed conversations — not a safety ruling, an observed-need signal.
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Independent published positions, read together — not a forecast.
89th-percentile task overlap — yet about 6,200 openings a year (+5.5% projected, BLS), and observed AI use leans 7015% copilot, not hand-off (AEI) . What exposure means →
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| Overall AI exposure (Felten et al.) High | 91st | 1.3 | |
| LLM task exposure, γ (OpenAI / Eloundou) High | 86th | 1.0 | |
| AI assistant applicability (Microsoft) High | 74th | 0.2 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.5), and including AI-powered software (γ 1.0). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.
A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.
Frey–Osborne probability 0.0 · 2nd percentile among occupations · Low
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Counsel individuals and groups on basic rules of good nutrition, healthy eating habits, and nutrition monitoring to improve their quality of life. | 16.6% | |
| Develop curriculum and prepare manuals, visual aids, course outlines, and other materials used in teaching. | 7.5% | |
| Write research reports and other publications to document and communicate research findings. | 2.0% |
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +5.5% by 2034 |
| Projected annual openings | 6,200 |
| Employment 2024 → 2034 | 90,900 → 95,900 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Dieticians and Nutritionists · 2265 | 41% | Minimal |
Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.
How people actually apply AI to this occupation's tasks, from Claude.ai (Free and Pro) conversations in the Anthropic Economic Index, 2026-01-15. This is one AI assistant's consumer sample — not all AI, not the whole workforce. Autonomy and the collaboration mix are model-rated estimates; figures below the sample floor are hidden.
| Augmentation vs. automation | 70.2% working with AI · 27.6% handed to AI |
| Most common way people use AI here | Learning · you ask AI to explain or teach |
| Typical AI autonomy | 4.0 / 5 · higher = AI acts more independently |
| Used for work (vs. personal / coursework) | 16.2% |
The role's most common tasks in AI conversations, each tagged with how people work with the AI on it. “Usage” is the share of observed conversations, not of the job.
| Task | How | Usage |
|---|---|---|
| Counsel individuals and groups on basic rules of good nutrition, healthy eating habits, and nutrition monitoring to improve their quality of life. | Learning | 12.2% |
| Write research reports and other publications to document and communicate research findings. | Iteration | 8.2% |
| Advise patients and their families on nutritional principles, dietary plans and diet modifications, and food selection and preparation. | Learning | 6.2% |
| Assess nutritional needs, diet restrictions and current health plans to develop and implement dietary-care plans and provide nutritional counseling. | Iteration | 4.4% |
| Develop curriculum and prepare manuals, visual aids, course outlines, and other materials used in teaching. | Directive | 1.5% |
| Advise food service managers and organizations on sanitation, safety procedures, menu development, budgeting, and planning to assist with the establishment, operation, and evaluation of food service facilities and nutrition programs. | Iteration | 0.4% |
Tasks where the model most often judged that a person remained necessary — a useful read on the current boundary, not a guarantee.
| Advise food service managers and organizations on sanitation, safety procedures, menu development, budgeting, and planning to assist with the establishment, operation, and evaluation of food service facilities and nutrition programs. | 100.0% | |
| Counsel individuals and groups on basic rules of good nutrition, healthy eating habits, and nutrition monitoring to improve their quality of life. | 98.3% | |
| Advise patients and their families on nutritional principles, dietary plans and diet modifications, and food selection and preparation. | 96.3% | |
| Write research reports and other publications to document and communicate research findings. | 91.3% | |
| Develop curriculum and prepare manuals, visual aids, course outlines, and other materials used in teaching. | 89.0% | |
| Assess nutritional needs, diet restrictions and current health plans to develop and implement dietary-care plans and provide nutritional counseling. | 86.2% |
Example prompts phrased from the tasks people most often delegate to AI in this occupation (Anthropic Economic Index). Each shows the underlying measured task and its share of observed AI use. They are suggested phrasings of real tasks — starting points, not endorsed instructions.
Help me counsel individuals and groups on basic rules of good nutrition, healthy eating habits, and nutrition monitoring to improve their quality of life. From: Counsel individuals and groups on basic rules of good nutrition, healthy eating habits, and nutrition monitoring to improve their quality of life. · 12.2% of measured AI use · learning
Help me write research reports and other publications to document and communicate research findings. From: Write research reports and other publications to document and communicate research findings. · 8.2% of measured AI use · task iteration
Help me advise patients and their families on nutritional principles, dietary plans and diet modifications, and food selection and preparation. From: Advise patients and their families on nutritional principles, dietary plans and diet modifications, and food selection and preparation. · 6.2% of measured AI use · learning
Help me assess nutritional needs, diet restrictions and current health plans to develop and implement dietary-care plans and provide nutritional counseling. From: Assess nutritional needs, diet restrictions and current health plans to develop and implement dietary-care plans and provide nutritional counseling. · 4.4% of measured AI use · task iteration
All 28 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Biology | 4.4 | |
| Medicine and Dentistry | 4.3 | |
| English Language | 4.1 | |
| Therapy and Counseling | 4.1 | |
| Customer and Personal Service | 4.0 | |
| Psychology | 3.9 | |
| Education and Training | 3.8 | |
| Mathematics | 3.6 | |
| Computers and Electronics | 3.4 | |
| Chemistry | 3.4 | |
| Sociology and Anthropology | 3.3 |
| Reading Comprehension | 4.0 | |
| Active Listening | 4.0 | |
| Speaking | 4.0 | |
| Critical Thinking | 4.0 | |
| Writing | 3.9 | |
| Monitoring | 3.9 | |
| Learning Strategies | 3.8 | |
| Active Learning | 3.6 | |
| Science | 3.3 |
| Social Perceptiveness | 4.0 | |
| Judgment and Decision Making | 4.0 | |
| Service Orientation | 3.9 | |
| Complex Problem Solving | 3.9 | |
| Coordination | 3.8 | |
| Instructing | 3.8 | |
| Persuasion | 3.4 |
| Oral Comprehension | 4.0 | |
| Written Comprehension | 4.0 | |
| Oral Expression | 4.0 | |
| Written Expression | 4.0 | |
| Problem Sensitivity | 4.0 | |
| Deductive Reasoning | 4.0 | |
| Inductive Reasoning | 4.0 | |
| Speech Clarity | 4.0 | |
| Category Flexibility | 3.9 | |
| Information Ordering | 3.8 | |
| Speech Recognition | 3.6 | |
| Originality | 3.5 | |
| Near Vision | 3.4 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
Showing the top 40 of 42.
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
What to study: Family and Consumer Sciences/Human Sciences , Health Professions and Related Programs , Multi/Interdisciplinary Studies . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Share of people in this occupation at each level of education.
| Post-Baccalaureate Certificate | 53.3% | |
| Master's Degree | 33.3% | |
| Bachelor's Degree | 10.0% | |
| Associate's Degree (or other 2-year degree) | 3.3% |
The interests and personal qualities O*NET associates with people who do this work.
| Dependability | 8.0 | |
| Attention to Detail | 7.0 | |
| Integrity | 6.0 | |
| Intellectual Curiosity | 5.0 | |
| Cooperation | 4.0 |
| Health Care Service | 5.8 | |
| Professional Advising | 5.1 | |
| Personal Service | 5.0 | |
| Medical Science | 4.5 | |
| Teaching/Education | 4.3 | |
| Life Science | 4.0 | |
| Culinary Art | 3.8 | |
| Public Speaking | 3.8 | |
| Social Science | 3.6 |
| Social | 5.5 | |
| Investigative | 4.8 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $48,830 |
| 25th percentile | $61,260 |
| Median (50th) | $73,850 |
| 75th percentile | $85,200 |
| 90th percentile | $101,760 |
| People employed | 76,570 |
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Health Care and Social Assistance · Sector | 51,390 | $75,060 |
| Accommodation and Food Services · Sector | 7,250 | $70,650 |
| Educational Services · Sector | 2,550 | $62,150 |
| Other Services (except Public Administration) · Sector | 1,320 | $66,060 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 1,200 | $72,110 |
| Professional, Scientific, and Technical Services · Sector | 1,110 | $66,880 |
| Management of Companies and Enterprises · Sector | 940 | $76,870 |
| Arts, Entertainment, and Recreation · Sector | 730 | $62,400 |
| Services for the Elderly and Persons with Disabilities · National industry | 570 | $64,290 |
| Fitness and Recreational Sports Centers · National industry | 500 | $62,400 |
| Retail Trade · Sector | 480 | $74,880 |
| Outpatient Mental Health and Substance Abuse Centers · National industry | 430 | $65,500 |
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Health Care and Social Assistance · Sector | 4.48× | 51,390 |
| Outpatient Mental Health and Substance Abuse Centers · National industry | 2.8× | 430 |
| Residential Mental Health and Substance Abuse Facilities · National industry | 2.41× | 310 |
| Offices of Mental Health Practitioners (except Physicians) · National industry | 1.75× | 210 |
| Fitness and Recreational Sports Centers · National industry | 1.6× | 500 |
| Residential Intellectual and Developmental Disability Facilities · National industry | 1.03× | 200 |
| Accommodation and Food Services · Sector | 1.03× | 7,250 |
| Offices of Physical, Occupational and Speech Therapists, and Audiologists · National industry | 1.01× | 240 |
Part of the Healthcare & Human Services career cluster.
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for Dietitians and Nutritionists — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Capabilities this work builds that are used across many other occupations.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
On the global GenAI exposure gradient this work sits around the 78th percentile of 427 international occupations.
Dietitians and Nutritionists show 89th-percentile AI task overlap — and about 6,200 annual U.S. openings
Dietitians and Nutritionists show 89th-percentile AI task overlap — and about 6,200 annual U.S. openings • Dietitians and Nutritionists rank in the 89th percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 6,200 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be about average (+5.5%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $73,850, across about 76,570 U.S. workers. (BLS OEWS (May 2024)) • Of the AI use actually observed for this work, 70% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census. (2026-01-15-v4-plus-2025-03-27-v2) Source: Singulariki — "Dietitians and Nutritionists". https://singulariki.com/roles/role-29-1031-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom
Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
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.
Data compiled June 2, 2026. Figures are estimates, not advice.
Singulariki. "Dietitians and Nutritionists." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-29-1031-00
Singulariki. (2026). Dietitians and Nutritionists. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-29-1031-00
@misc{singulariki-role-29-1031-00,
title = {Dietitians and Nutritionists},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-29-1031-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.