Compare Occupations

	Meat, Poultry, and Fish Cutters and Trimmers	First-Line Supervisors of Production and Operating Workers	Agricultural Inspectors	Food Science Technicians
SUMMARY	65% High Risk	38% Low Risk	40% Moderate Risk	52% Moderate Risk
JOB SCORE	3.1/10	5.2/10	3.0/10	3.1/10
POLLING	65% (High Risk, Based on 32 votes)	54% (Moderate Risk, Based on 29 votes)	56% (Moderate Risk, Based on 27 votes)	78% (High Risk, Based on 32 votes)
GROWTH by year 2034	5.5%	1.2%	1.5%	4.8%
WAGES	$37,700 or $18.12 per hour	$71,190 or $34.22 per hour	$50,990 or $24.51 per hour	$49,430 or $23.76 per hour
VOLUME as of 2024	141,090	685,140	12,090	14,200
SNOWFLAKE [?] The Snowflake is a visual summary of the five badges: Automation Risk (calculated), Risk (polled), Growth, Wages and Volume. It gives you an instant snapshot of an occupations profile. The colour of the Snowflake relates to its size. The better the occupation scores in relation to others, the larger and greener the Snowflake becomes.
DESCRIPTION	Use hands or hand tools to perform routine cutting and trimming of meat, poultry, and seafood.	Directly supervise and coordinate the activities of production and operating workers, such as inspectors, precision workers, machine setters and operators, assemblers, fabricators, and plant and system operators. Excludes team or work leaders.	Inspect agricultural commodities, processing equipment, and facilities, and fish and logging operations, to ensure compliance with regulations and laws governing health, quality, and safety.	Work with food scientists or technologists to perform standardized qualitative and quantitative tests to determine physical or chemical properties of food or beverage products. Includes technicians who assist in research and development of production technology, quality control, packaging, processing, and use of foods.

Compare Occupations Side by Side

Curious how automation and AI could affect your career? Our comparison tool lets you view two or more jobs side by side, helping you quickly spot differences in risk level, pay, growth, and popularity. All of this is based on a mix of academic research, user polling, and official labour data.

Automation Risk

Each occupation shows a probability of automation. A higher score means machines and algorithms are more likely to take over the role in the future.

Job Score

A quick summary of how a job performs overall — factoring in wages, growth, volume, and automation risk. It’s a handy way to see the bigger picture at a glance.

Polling Data

Thousands of visitors cast their votes on how “automatable” each job feels. These community insights are shown alongside the calculated probabilities.

Growth & Wages

See how fast each occupation is projected to grow and what people earn on average. High wages don’t always mean high security — automation risk still matters.

Volume of Workers

Explore how many people currently work in each occupation and in which year the data was recorded. Popularity can affect how disruptive automation will be for the wider economy.

The Snowflake Diagram

Each snowflake visualises the balance between automation risk, wages, growth, and job volume. Bigger and greener areas mean stronger performance in that dimension.

Use this comparison page to research careers, guide students, or simply explore the future of work. All data is regularly updated to keep the results relevant.