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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Not Very Resilient
Last Update: 5/19/2026
Your role’s AI Resilience Score is
34.7%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
AI Resilience Report forFood and Tobacco Roasting, Baking, and Drying Machine Operators and Tenders
Food and Tobacco Roasting, Baking, and Drying Machine Operators and Tenders are less resilient to AI impacts than most occupations, according to our analysis of 5 sources.
This career is labeled "Not Very Resilient" because many of its core tasks — like monitoring temperatures, adjusting machine settings, and scheduling production runs — are exactly the kind of repetitive, data-driven work that AI is already taking over through self-optimizing smart systems. Large food companies are investing heavily in automation to fill labor shortages, which means fewer humans are needed to watch over machines that can now watch over themselves.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is not very resilient
This career is labeled "Not Very Resilient" because many of its core tasks — like monitoring temperatures, adjusting machine settings, and scheduling production runs — are exactly the kind of repetitive, data-driven work that AI is already taking over through self-optimizing smart systems. Large food companies are investing heavily in automation to fill labor shortages, which means fewer humans are needed to watch over machines that can now watch over themselves.
Read full analysisAnalysis of Current AI Resilience
Food/Tobacco Machine Oper.
Updated Quarterly • Last Update: 5/14/2026
How is AI changing Food/Tobacco Machine Oper. jobs?
If you're worried about robots taking over food roasting, baking, and drying jobs, here's the honest picture: AI is mostly augmenting these jobs right now rather than replacing the operators who run the machines. Modern ovens and dryers now come with smart controls that adjust themselves. According to AMF Bakery Systems, "AI is playing an emerging role in bakery automation by providing smarter, self-optimizing production systems" — using predictive analysis to automate machine adjustments so dough texture and oven temperature stay ideal, as reported in Baking Business [1].
Siemens engineers similarly describe how AI and edge computing are moving bakery quality checks "from sampling to 100%" [2], monitoring every product in real time. In coffee, researchers just published a machine-learning system that "augments sensory perception" by listening for bean cracks during roasting [3], and a deep-learning model for tobacco can now recognize the state of leaves during the curing process [4]. Meanwhile, Food Engineering magazine reports that AI is being applied to batch processing to chase "the perfect batch" [5] by reducing variability.
The repetitive tasks — weighing, scheduling, monitoring temperature — are being automated first, while humans still load product, taste samples, and make judgment calls.
Sources
How fast is AI adoption growing for Food/Tobacco Machine Oper.?
Adoption is moving steadily but unevenly. The biggest driver is labor: the American Bakers Association warns of 53,500 unfilled jobs by 2030, and 64% of UK food manufacturers say workforce efficiency is their main reason to invest in automation, per HowToRobot [6]. At the same time, the U.S. Bureau of Labor Statistics still projects food processing equipment jobs to grow 5% from 2024–2034 [7], faster than average — meaning AI is filling gaps, not erasing roles.
What slows things down? Cost and data. Food Engineering notes AI often "fails for mid-sized food processors" [5] because they lack clean data.
And Baking & Snack reports that while larger, tech-forward bakeries lead, AI "use is not universal" [1] across the industry. Food safety regulations also require human oversight. The bottom line for young workers: skills in sensor monitoring, troubleshooting smart equipment, taste/quality judgment, and data literacy will keep you valuable — these are exactly the human strengths AI can't replace yet.
Sources
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More Career Info
Career: Food and Tobacco Roasting, Baking, and Drying Machine Operators and Tenders
They operate machines to roast, bake, or dry food and tobacco products, ensuring they are properly processed and ready for packaging.
Parent Careers
Similar Careers
Employment & Wage Data
Median Wage
$42,730
Jobs (2024)
20,700
Growth (2024-34)
+0.6%
Annual Openings
2,400
Education
No formal educational credential
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Push racks or carts to transfer products to storage, cooling stations, or the next stage of processing.
2
Observe, feel, taste, or otherwise examine products during and after processing to ensure conformance to standards.
3
Test products for moisture content, using moisture meters.
4
Clean equipment with steam, hot water, and hoses.
5
Take product samples during or after processing for laboratory analyses.
6
Open valves, gates, or chutes or use shovels to load or remove products from ovens or other equipment.
7
Operate or tend equipment that roasts, bakes, dries, or cures food items such as cocoa and coffee beans, grains, nuts, and bakery products.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
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