Community Sentiment
Do you agree?
Do you agree with the AI automation risk score calculated for this occupation?
AI Automation Index
Will AI Replace Biofuels Production Managers?
Task-level automation exposure for Biofuels Production Managers: 14 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
43%
weighted task index
14 of 14 tasks scored
Median Salary
$126,060 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
High
246,250 people hold this job — size, not growth
Projected 2025–35
+2.6%
employment change
17,000 openings a year · BLS line item
Pay by state
BLS OEWS publishes 52 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$100,470 – $153,000
Highest medians
Delaware $153,000
Wyoming $151,490
Massachusetts $148,050
New Jersey $147,260
New Hampshire $146,590
Lowest medians
Guam $100,470
Iowa $106,510
Nebraska $107,200
Idaho $107,340
South Dakota $107,490
State figures come from the 11-3051 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
What the score is made of
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Automation potential 43%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 14%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 70%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 0%
Share in documenting, recording, and administrative activities.
Rewritten by O*NET 0%
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
Consequence of error 46/100
Moderate
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
Constituent Task Mix
14 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
High exposure (≥ 60% of the task is automatable) 34%
5 tasks
Medium exposure (≥ 35%) 22%
3 tasks
Low exposure (below 35%) 44%
6 tasks
How would you survive?
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Constituent Tasks
#15454 · Core · 28% automatable
Supervise production employees in the manufacturing of biofuels, such as biodiesel or ethanol.
interpersonal — Directing workers in the field is human supervision
Supervise workers performing environmentally sustainable activities.
#15462 · Core · 25% automatable
Manage operations at biofuels power generation facilities, including production, shipping, maintenance, or quality assurance activities.
decision support — Plant operations direction needs real-time human control
Direct green energy production operations. Direct maintenance and repair activities in green energy production facilities.
#15450 · Core · 28% automatable
Provide direction to employees to ensure compliance with biofuels plant safety, environmental, or operational standards and regulations.
interpersonal — Directing workers in the field is human supervision
Supervise workers performing environmentally sustainable activities.
#15453 · Core · 60% automatable
Confer with technical and supervisory personnel to report or resolve conditions affecting biofuels plant safety, operational efficiency, and product quality.
text generation — AI drafts green energy communications; human reviews
Communicate green energy production information.
#15456 · Core · 75% automatable
Review logs, datasheets, or reports to ensure adequate production levels or to identify abnormalities with biofuels production equipment or processes.
data analysis — Energy production data evaluation is quantitative
Evaluate energy production data.
#15458 · Core · 40% automatable
Monitor meters, flow gauges, or other real-time data to ensure proper operation of biofuels production equipment, implementing corrective measures as needed.
visual inspection — Facility monitoring needs deployed sensors and physical inspection
Monitor green energy equipment, systems, or facilities.
#15461 · Core · 20% automatable
Adjust temperature, pressure, vacuum, level, flow rate, or transfer of biofuels to maintain processes at required levels.
physical manipulation — Physical control of green energy production equipment
Operate green energy production equipment.
#15449 · Core · 49% automatable
Provide training to subordinate or new employees to improve biofuels plant safety or increase the production of biofuels.
text generation — Compliance content AI-draftable; live training human
Train employees on environmental awareness, conservation, or safety topics. Conduct employee training programs.
#15455 · Core · 20% automatable
Shut down and restart biofuels plant or equipment in emergency situations or for equipment maintenance, repairs, or replacements.
physical manipulation — Physical control of green energy production equipment
Operate green energy production equipment.
#15451 · Core · 60% automatable
Monitor transportation and storage of flammable or other potentially dangerous feedstocks or products to ensure adherence to safety guidelines.
decision support — Checks program against standards; human verifies compliance
Evaluate green operations or programs for compliance with standards or regulations.
#15452 · Core · 45% automatable
Draw samples of biofuels products or secondary by-products for quality control testing.
visual inspection — Material quality often needs hands-on or visual inspection
Evaluate quality of materials or products.
#15460 · Core · 28% automatable
Approve proposals for the acquisition, replacement, or repair of biofuels processing equipment or the implementation of new production processes.
decision support — Plant operations direction needs real-time human control
Direct green energy production operations.
#15457 · Core · 68% automatable
Prepare and manage biofuels plant or unit budgets.
data analysis — Green operational budget drafting from cost assumptions
Prepare operational budgets for green energy or other green operations.
#15459 · Core · 68% automatable
Conduct cost, material, and efficiency studies for biofuels production plants or operations.
data analysis — Feasibility analysis from data, human validates assumptions
Analyze data to determine project feasibility.
Embed this calculator on your site ↓
Bloggers & authors: Embed this interactive calculator directly in your articles or comparison guides. It loads dynamically via a responsive iframe (auto-resizing to prevent double scrollbars) and provides a direct, high-value tool for your audience.
<div class="giniloh-calculator-embed" data-calculator="biofuels-production-managers"></div>
<script src="https://giniloh.com/embed.js" async></script> Method
How this was scored
- 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
- 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
- 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
- 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
See the full method →Related Article
Best AI Proof Jobs in a Changing Market
Worried robots are coming for your paycheck? You’re not alone—but the real story is far more hopeful. This guide cuts through the scare headlines to reveal exactly where smart, sustainable career opportunities exist right now. We’ve curated a list of true ai proof jobs—roles in healthcare, skilled trades, and cybersecurity that not only survive automation but thrive because of human judgment and empathy. You’ll get specific, money-making data on projected growth (the BLS says wind turbine technicians, for instance, will grow 44% by 2032), real salary ranges from active job listings, and a simple self-assessment quiz to identify your own most resilient path. Plus, we name companies hiring today and the niche job boards they use. Stop worrying and start planning—your secure career is closer than you think.
Read Article ->