Agricultural and food science technicians

AI Overlap Index
46.5 / 100
Partially Exposed

Clear pressure on routine tasks. Composition of the role will shift within the decade.

SOC 19-4010 · Life Physical And Social Science

Bureau of Labor Statistics
Median pay
$48,480/yr
Hourly
$23/hr
Jobs 2024
38,900
Projected 2034
40,700
10-yr outlook
+5% · Faster than average
Employment change
1,800
Entry education
Associate's degree
SOC code
19-4010

Signal composition

how the 0-100 score is assembled

Task Automation Impact weight 60%
52.1
contribution to AOI: 31.3
Automation Potential weight 10%
40.0
contribution to AOI: 4.0
Market Pressure weight 15%
30.0
contribution to AOI: 4.5
Entry Barrier Erosion weight 15%
45.0
contribution to AOI: 6.8

By seniority

multiplicative adjustment from category curve

Entry
54.9
mult 1.18x
Mid
46.5
mult 1.00x
Senior
37.2
mult 0.80x

Entry-level roles carry the brunt because they concentrate the most automatable subset of tasks. Senior work is insulated by judgment, relationships, and accountability.

Task-level analysis

scored 0-100 for current-generation AI feasibility, weighted by BLS-stated importance

10 tasks · model: claude-sonnet-4-5-20250929
Important t6

Compile and analyze test results

AI excels at statistical analysis, pattern recognition across large datasets, and identifying anomalies in test results, performing these tasks faster and often more thoroughly than humans, with minimal oversight needed for routine compilations.

BLS evidence: Both agricultural and food science technicians 'compile and analyze test results' as a recurring responsibility.

81
automation
Important t8

Prepare charts, presentations, and reports describing test results

AI can generate charts, format data visualizations, draft technical reports from structured test data, and create presentation slides following templates, with human review needed primarily for narrative framing and stakeholder-specific emphasis.

BLS evidence: Both types of technicians 'prepare charts, presentations, and reports describing test results' as a standard duty.

76
automation
Important t5

Analyze chemical properties of food to determine ingredients and formulas

AI can interpret spectroscopy data, chromatography outputs, and chemical assay results to determine composition and reverse-engineer formulas with high accuracy, requiring human validation primarily for novel ingredients or regulatory documentation.

BLS evidence: Food science technicians 'analyze chemical properties of food to determine ingredients and formulas' as a typical duty.

72
automation
Core t2

Test food, food additives, and food containers for compliance with safety standards

AI-integrated lab equipment can autonomously run standardized safety tests and flag compliance violations against regulatory databases, with human review of edge cases and final certification, substantially reducing labor content.

BLS evidence: Food science technicians 'test food, food additives, and food containers to ensure that they comply with established safety standards' as a core function.

68
automation
Important t4

Examine animal and crop specimens to determine presence of diseases or problems

Computer vision models can identify many disease markers and abnormalities in specimens from images with accuracy matching technicians, but physical specimen handling and preparation for imaging still requires human involvement, and novel pathologies need expert review.

BLS evidence: Agricultural science technicians 'examine animal and crop specimens to determine the presence of diseases or other problems' as part of their regular work.

58
automation
Core t1

Collect, prepare, analyze, and store crop or animal samples following established protocols

Physical sample collection in field environments requires mobility and adaptability to unpredictable conditions that robotics cannot yet handle reliably, but AI can assist with protocol adherence, data logging, and storage tracking once samples reach controlled environments.

BLS evidence: Agricultural science technicians 'follow protocols to collect, prepare, analyze, and properly store crop or animal samples' as a primary duty.

42
automation
Core t3

Prepare and operate laboratory testing equipment

Physical setup and calibration of laboratory equipment requires manual dexterity and real-time troubleshooting in three-dimensional space, though AI can guide procedures and detect calibration errors through sensor integration.

BLS evidence: Both agricultural and food science technicians 'prepare and operate laboratory testing equipment' as a fundamental duty.

35
automation
Supporting t9

Prepare and maintain quantities of chemicals needed for laboratory tests

Preparing chemical solutions requires precise physical measurement, mixing, and handling of potentially hazardous materials in laboratory settings, tasks requiring fine motor control and safety judgment that lab automation handles only in high-throughput facilities, not typical ag/food labs.

BLS evidence: Food science technicians 'prepare and maintain quantities of chemicals needed to perform laboratory tests' as part of laboratory support work.

28
automation
Supporting t10

Maintain a safe, sterile laboratory environment

Maintaining sterility requires physical cleaning, equipment sterilization, waste disposal, and real-time monitoring of laboratory conditions with adaptive responses to contamination events—tasks requiring physical presence and judgment that current robotics cannot economically automate in most lab settings.

BLS evidence: Food science technicians 'maintain a safe, sterile laboratory environment' as an ongoing responsibility.

22
automation
Important t7

Operate farm equipment and maintain agricultural production areas to conform to testing parameters

Operating tractors, irrigation systems, and other farm equipment in outdoor agricultural settings requires real-time navigation in unpredictable terrain, physical manipulation of controls, and adaptive decision-making that current autonomous systems cannot reliably handle across diverse farm environments.

BLS evidence: Agricultural science technicians 'operate farm equipment and maintain agricultural production areas to conform to scientific testing parameters.'

18
automation

Task heatmap

automation score by task, sorted by weighted contribution

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External signals and sources

category-level priors and BLS fields that feed the four non-task signals

Automation Potential
40
karpathy 4/10
  • Karpathy/BLS Digital AI Exposure (0-10 scale rescaled to 0-100)
Market Pressure
30
outlook: Faster than average
  • BLS projected outlook: Faster than average (5%)
  • Indeed demand signal (monthly refresh pending)
Entry Barrier Erosion
45
ed: Associate's degree
  • BLS typical entry-level education: Associate's degree
  • Credential trend signal (annual refresh)

Related in Life Physical And Social Science

closest AOI neighbors in the same category