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STRATUSWORKFORCE SCAN

Biofuels/Biodiesel Technology and Product Development Managers

In short: today's best AI models could do about 12% of this job's working time (projected from METR's April 2026 measurement and Epoch's November 2026 index) if the work were set up for them, and about 52% by the end of 2028 if progress keeps its long-run pace. The people and hands-on work, about 43% of the time, stays with people.

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Define, plan, or execute biofuels/biodiesel research programs that evaluate alternative feedstock and process technologies with near-term commercial potential.

$171,270 a year (for the broader BLS group this job sits in).

A typical 40-hour week

Not yet reviewed task by task
  • AI could take on5 h
  • A person checks AI's work0 h
  • Desk work AI can't do yet18 h
  • Stays with people17 h

Biofuels/Biodiesel Technology and Product Development Managers, now: of a 40-hour week, AI could take on 5 hours, 0 hours become checking its work, 18 hours are desk work it can't do yet, and 17 hours stay with people.

The largest pieces: Provide technical or scientific guidance to technical staff in the conduct of biofuels research or development (under an hour); Prepare, or oversee the preparation of, experimental plans for biofuels research or development (under an hour); Propose new biofuels products, processes, technologies or applications based on findings from applied biofuels or biomass research projects (under an hour).

Estimates for a typical week of this job, if progress keeps its long-run pace, counting work the best models finish four times in five. Every task is below.

now
12%

of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.

Kinds of work
  • 57%
  • 0%
  • 43%
3%

of the work: Anthropic's measure of what people already bring to Claude at work (2025). It counts help with part of a task, so it can be higher than the share within reach.

Half the desk work within reach
September 2027

On the chosen pace and reliability. Estimate.

Share of the working time within reach, now to 2030

0%25%50%75%100%2027202820292030NowDesk work: 57% of the time
Chosen to Ceiling: the share
DateNow
NowEnd of 2030
Change assumptionsLong-run pace, four in five

What each choice means: , , , , . Every pace starts from .

At this date and pace, models finish tasks up to 2.4 work days long four times in five.

How far this has come

With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 0%. With Claude Mythos Preview (early), measured in April 2026, 2%. Today's estimate: 12%.

0%5%10%15%20%2023202420252026GPT-4, March 2023: 0% within reachGPT-4 Turbo (Nov 2023), November 2023: 0% within reachGPT-4o, May 2024: 0% within reachClaude 3.5 Sonnet (June 2024), June 2024: 0% within reacho1-preview, September 2024: 0% within reachClaude 3.5 Sonnet (Oct 2024), October 2024: 0% within reacho1, December 2024: 0% within reachClaude 3.7 Sonnet, February 2025: 0% within reacho3, April 2025: 0% within reachGPT-5, August 2025: 0% within reachGemini 3 Pro, November 2025: 0% within reachClaude Opus 4.5, November 2025: 0% within reachGPT-5.2, December 2025: 0% within reachClaude Opus 4.6, February 2026: 0% within reachClaude Mythos Preview (early), April 2026: 2% within reachToday (estimate), November 2026: 12% within reach
Each step is a new best model measured by METR, four in five; the dashed end is today's estimate. Point at a dot for the model.

A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.

Measured use over time

Of the Claude.ai conversations Anthropic sampled and tied to a work task, no reportable share went to this job's tasks in May 2026; 0 of its 18 tasks showed up. Within each of Anthropic's methods, never across a change: 0.0042% to 0.0064% (released February and March 2025); none to 0.0096% (August 2025 to February 2026).

0%0.01%0.02%20252026released February 2025: 0.0042%released March 2025: 0.0064%the week of Aug 4, 2025: nonethe week of Nov 13, 2025: nonethe week of Feb 5, 2026: 0.0096%April 2026: noneMay 2026: none
Each dot is one release's sample. A line joins releases made by the same method; a change of method starts a new line. Point at a dot for its window.
Each release
ConversationsShareRankTasks seen
Released February 20250.0042%627 of 7082 of 18
Released March 20250.0064%556 of 7032 of 18
The week of Aug 4, 2025nonen/a0 of 18
The week of Nov 13, 2025nonen/a0 of 18
The week of Feb 5, 20260.0096%504 of 6771 of 18
April 2026nonen/a0 of 18
May 2026nonen/a0 of 18

Measured, not estimated: Anthropic's samples of Claude.ai conversations, each tied by a model to an O*NET task, from the Anthropic Economic Index. It says where Claude's use goes, not how much of this job's working time it covers, so it is not on the same scale as the reach above. The releases differ in their sample, their classifier and the smallest share they report (the June 2026 file rounds each task to a hundredth of a percent, so a smaller task reads as none), which is why a change of method starts a new line. At least 96% of each older release's task-tied use matched this site's tasks, and all of the newest. Claude.ai only, so use through other tools and other companies' models is not in it. Every job ranked.

Robots and the physical work

Anthropic rates 12% of this job's working time as physical work. For 12% of the working time, a robot has been shown doing most of the task somewhere: 7% in a purpose-built cell, 5% in a structured facility. 0.17 of 3, the 462nd highest of the 923 jobs.

  • Not physical 88%
  • In a purpose-built cell 7%
  • In a structured facility 5%

Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. The robot behind each rated task is under the task below.

The tasks

Sorted by . 18 tasks from .

TaskKind
Analyze data from biofuels studies, such as fluid dynamics, water treatments, or solvent extraction and recovery processes.Done daily by most who do it. 7%1.7 work days3.3 h to 4.2 work days31%Half by Mar 2027
Propose new biofuels products, processes, technologies or applications based on findings from applied biofuels or biomass research projects.Done more than yearly by most who do it. 7%2.1 work days6.7 h to 4.2 work days35%Half by Jan 2027
Conduct experiments on biomass or pretreatment technologies.Done daily by most who do it. Robots: in a structured facility, Automated saccharification robotic platform (Labman solids robot + Tecan Evo 200) (University of York / CNAP with Labman Automation and Tecan) (demonstrated). Anthropic's rating.7%2.1 work days6.7 h to 4.2 work daysStays with people
Conduct experiments to test new or alternate feedstock fermentation processes.Done more than monthly by most who do it. Robots: in a purpose-built cell, Sartorius Ambr 250 (High Throughput) automated multi-parallel bioreactor system at LBNL ABPDU (deployed). Anthropic's rating.7%2.1 work days6.7 h to 4.2 work daysStays with people
Perform protein functional analysis and engineering for processing of feedstock and creation of biofuels.Done more than yearly by most who do it.Robots: in a purpose-built cell, Automated high-throughput saccharification assay platform (robotic station + liquid-handling robot) (University of York / CNAP) (demonstrated). Anthropic's rating.7%4.2 work days6.7 h to 3.5 work weeksStays with people
Develop computational tools or approaches to improve biofuels research and development activities.Done more than monthly by most who do it.7%1 work week1.7 work days to 3.3 work weeks4%Half by Dec 2027
Develop lab scale models of industrial scale processes, such as fermentation.Done more than yearly by most who do it. 7%1.7 work weeks2.1 work days to 4.2 work weeksStays with people
Oversee biodiesel/biofuels prototyping or development projects.Done more than monthly by most who do it. 7%1.7 work weeks2.1 work days to 4.2 work weeks1%Half by May 2028
Design or conduct applied biodiesel or biofuels research projects on topics, such as transport, thermodynamics, mixing, filtration, distillation, fermentation, extraction, and separation.Done daily by most who do it. 7%3.3 work weeks4.2 work days to 1.6 work monthsStays with people
Conduct research to breed or develop energy crops with improved biomass yield, environmental adaptability, pest resistance, production efficiency, bioprocessing characteristics, or reduced environmental impacts.Done yearly or less by most who do it.7%4.2 work weeks1.7 work weeks to 2.4 work monthsStays with people
Prepare, or oversee the preparation of, experimental plans for biofuels research or development.Done more than monthly by most who do it. 6%1.3 work days3.3 h to 4.2 work days44%Half by Dec 2026
Develop methods to estimate the efficiency of biomass pretreatments.Done more than yearly by most who do it.6%4.2 work days1 work day to 2.5 work weeks6%Half by Dec 2027

Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach.

Jobs that share skills with this one

From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.

Where this job works

The industry groups that employ the most of it (BLS, May 2025). Counts are for the broader BLS group this job sits in.

Where the most of these jobs are

The metro areas with the most people in it (BLS, May 2025). Counts are for the broader BLS group this job sits in.

Questions about this job

How much of the work of Biofuels/Biodiesel Technology and Product Development Managers is within reach of AI now?
An estimated 12% of the working time is within reach of AI models now and 52% by the end of 2028, on METR's long-run pace at four in five (35% to 56% across the three paces the site shows). Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
Which tasks of Biofuels/Biodiesel Technology and Product Development Managers come within reach first?
Weighted by the time each takes, the tasks with the most within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index) are: Provide technical or scientific guidance to technical staff in the conduct of biofuels research or development (100% of the task's time now); Prepare, or oversee the preparation of, experimental plans for biofuels research or development (44% of the task's time now, 100% by the end of 2028); and Propose new biofuels products, processes, technologies or applications based on findings from applied biofuels or biomass research projects (35% of the task's time now, 100% by the end of 2028).
Which tasks of Biofuels/Biodiesel Technology and Product Development Managers stay with people?
Tasks that are people work or body work are not counted as within reach at any date. The largest: Conduct experiments on biomass or pretreatment technologies; Conduct experiments to test new or alternate feedstock fermentation processes; and Perform protein functional analysis and engineering for processing of feedstock and creation of biofuels. Together such tasks are about 43% of the working time.
Do people already use AI for the work of Biofuels/Biodiesel Technology and Product Development Managers?
In the Claude.ai conversations Anthropic sampled for May 2026, no reportable share went to this job's tasks. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 3%. These are measures of use, not of how much of the work AI could finish, and they cover Claude only.
Can robots do the physical work of Biofuels/Biodiesel Technology and Product Development Managers?
Anthropic's robot exposure rating (September 2026) finds 12% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 12% of the working time, 5% in a structured facility. Its index is 0.17 of 3. One example: Automated saccharification robotic platform (Labman solids robot + Tecan Evo 200) for "conduct experiments on biomass or pretreatment technologies". A robot shown somewhere is not one in every workplace; this site's own estimates still count no physical work as within reach.
How is this estimated?
From the 18 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, each classed as desk, people or body work, and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. Data checked November 10, 2026.

How the estimates are made

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