Will AI replace Biofuels Processing Technicians?
Estimated risk score: 25 out of 100
Lower replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (6 to 44).
For the occupation as a whole, from ratings of its 19 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 51-8099.01 · Production
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 2 of its 19 rated tasks. In O*NET’s words.
- Monitor and record biofuels processing data.
- Monitor and record flow meter performance.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 14 of its 19 rated tasks; the first 6 are shown. In O*NET’s words.
- Calibrate liquid flow devices and meters, including fuel, chemical, and water meters.
- Clean biofuels processing work area, ensuring compliance with safety regulations.
- Operate chemical processing equipment for the production of biofuels.
- Operate equipment, such as a centrifuge, to extract biofuels products and secondary by-products or reusable fractions.
- Operate valves, pumps, engines, or generators to control and adjust biofuels production.
- Perform routine maintenance on mechanical, electrical, or electronic equipment or instruments used in the processing of biofuels.
What the job is
Calculate, measure, load, mix, and process refined feedstock with additives in fermentation or reaction process vessels and monitor production process. Perform, and keep records of, plant maintenance, repairs, and safety inspections.
Also called: Ethanol Operator, Biofuels Data Scientist, Mash Preparatory Operator, Biofuels Production Associate, Biodiesel Production Associate, Biofuels Production Technician, Biodiesel Processing Technician, Biodiesel Production Technician.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate