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AI exposure report
Will AI replace Biofuels/Biodiesel Technology and Product Development Managers?
Some of your tasks will be automated. People who use AI will have the edge.
Task exposure to today's AI
Moderate exposure
This is the occupation's typical task mix. Your own score can be up to 30 points higher or lower depending on how you work: routine share, people contact, judgment and how much you already use AI.
Get your personal scoreWill AI replace Biofuels/Biodiesel Technology and Product Development Managers?
Not entirely. Today's AI tools can take on about 40% of the typical work in this occupation, mostly: prepare biofuels research and development reports for senior management or technical professionals. The parts that stay human include: Provide technical or scientific guidance to technical staff in the conduct of biofuels research or development.; Oversee biodiesel/biofuels prototyping or development projects.; Design or conduct applied biodiesel or biofuels research projects on topics, such as transport, thermodynamics, mixing, filtration, distillation, fermentation, extraction, and separation..
People who learn to use AI for the automatable parts keep the edge. The 3-phase plan below shows where to start.
Which tasks AI can take on
The largest tasks in this occupation, their share of the working week, and how much of each today's AI tools can do.
+ 12 more tasks (36% of the week) in the full test.
Your human edge
- Provide technical or scientific guidance to technical staff in the conduct of biofuels research or development.
- Oversee biodiesel/biofuels prototyping or development projects.
- Design or conduct applied biodiesel or biofuels research projects on topics, such as transport, thermodynamics, mixing, filtration, distillation, fermentation, extraction, and separation.
AI tools to try
ChatGPT / Claude for drafts and analysisMicrosoft 365 Copilot or Google Gemini for WorkspaceMeeting assistants (e.g. Otter, Fireflies)Related roles
A 3-phase AI learning plan
Phase 1
AI for the admin load
- Meeting notes, summaries and follow-ups with AI.
- First drafts of reports, plans and emails.
- Spreadsheet analysis with AI (formulas, charts, explanations).
Project
Use AI to turn four weeks of lab meeting notes and raw transesterification yield spreadsheets into draft weekly research summaries with charts, and log hours saved versus manual write-up.Phase 2
Decisions with better input
- Use AI to research options and summarise sources, then check them.
- Scenario and risk analysis with AI as a sparring partner.
- Set team rules for what may and may not go into AI tools.
Project
Have AI summarise 10 recent papers on feedstock pretreatment or separation options, verify every citation yourself, and produce a 2-page sourced recommendation plus a non-disclosure rule for lab data in AI tools.Phase 3
Lead the change
- Map which team tasks AI can take over or speed up.
- Run a small pilot and measure time and quality.
- Plan training and new roles for your team.
Project
Map your team's 15 routine tasks by AI suitability, pilot AI-assisted drafting of one experimental plan and data analysis with two technicians, and measure turnaround time and review errors before/after.