Will AI replace Cooks, Fast Food?
Most of the work in Cooks, Fast Food still leans on things AI struggles with — research rates its theoretical AI reach at only ~0%, and real-world use lower still.
O*NET-SOC 35-2011
How your 19 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a relatively low share of this job's tasks (~0%). By late 2025, real-world AI use had caught up to about 0% of its task activity (still rare). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~0%), real-world use (~0%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 19 tasks, ratedBased on real task-level AI scores — click to collapse
- None — AI cannot fully do any core task alone yet.
- No tasks in this middle tier.
- Order and take delivery of supplies.
- Cook the exact number of items ordered by each customer, working on several different orders simultaneously.
- Prepare specialty foods, such as pizzas, fish and chips, sandwiches, or tacos, following specific methods that usually require short preparation time.
- Operate large-volume cooking equipment, such as grills, deep-fat fryers, or griddles.
- Wash, cut, and prepare foods designated for cooking.
- Prepare and serve beverages, such as coffee or fountain drinks.
- Clean food preparation areas, cooking surfaces, and utensils.
- Read food order slips or receive verbal instructions as to food required by patron, and prepare and cook food according to instructions.
- Serve orders to customers at windows, counters, or tables.
- Clean, stock, and restock workstations and display cases.
- Maintain sanitation, health, and safety standards in work areas.
- Cook and package batches of food, such as hamburgers or fried chicken, prepared to order or kept warm until sold.
- Prepare dough, following recipe.
- Take food and drink orders and receive payment from customers.
- Verify that prepared food meets requirements for quality and quantity.
- Pre-cook items, such as bacon, to prepare them for later use.
- Measure ingredients required for specific food items.
- Mix ingredients, such as pancake or waffle batters.
- Schedule activities and equipment use with managers, using information about daily menus to help coordinate cooking times.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.