Will molecular biologists be replaced by AI?
Updated
Molecular biologists score 48 of 100 for AI exposure. The largest share of their task time, 68%, is work AI speeds up while they stay in charge. AI can take over 7% outright, and 25% stays with people.
- 7% AI can do it
- 68% AI helps
- 25% Needs a person
Moderate exposure
Higher than 70% of the 923 occupations we scored.
Task by task
We graded 22 tasks, listed here from most to least exposed. AI can do 2 of them today, speeds up 14 and leaves 6 to people.
| Task | AI exposure |
|---|---|
| Prepare or review reports, manuscripts, or meeting presentations. AI drafts and polishes manuscripts well; scientist validates all claims. | 65% AI helps |
| Maintain accurate laboratory records and data. AI structures digital records; physical sample logging stays manual. | 62% AI can do it |
| Design databases, such as mutagenesis libraries. AI can generate database schemas and library designs from specifications. | 62% AI can do it |
| Write grant applications to obtain funding. AI drafts most grant text; strategy and vision stay human. | 60% AI helps |
| Compile and analyze molecular or cellular experimental data and adjust experimental designs as necessary. AI runs analysis code and flags anomalies; scientist adjusts designs. | 55% AI helps |
| Verify all financial, physical, and human resources assigned to research or development projects are used as planned. AI reconciles budgets and logs; physical checks stay manual. | 45% AI helps |
| Conduct research on cell organization and function, including mechanisms of gene expression, cellular bioinformatics, cell signaling, or cell differentiation. AI speeds bioinformatics and literature work; experiments remain human led. | 40% AI helps |
| Evaluate new technologies to enhance or complement current research. AI speeds literature scans; real testing needs expert judgement. | 40% AI helps |
| Design molecular or cellular laboratory experiments, oversee their execution, and interpret results. AI suggests designs and reads results; scientist is responsible for decisions. | 35% AI helps |
| Develop guidelines for procedures such as the management of viruses. AI drafts guidelines; biosafety approval stays with accountable staff. | 35% AI helps |
Show the other 12 tasks
| Task | AI exposure |
|---|---|
| Instruct undergraduate and graduate students within the areas of cellular or molecular biology. AI preps course materials; live teaching needs people. | 30% AI helps |
| Conduct applied research aimed at improvements in areas such as disease testing, crop quality, pharmaceuticals, and the harnessing of microbes to recycle waste. AI aids analysis; applied research still needs bench work. | 30% AI helps |
| Develop assays that monitor cell characteristics. AI helps design assay protocols; wet lab validation stays manual. | 30% AI helps |
| Participate in all levels of bioproduct development, including proposing new products, performing market analyses, designing and performing experiments, and collaborating with operations and quality control teams during product launches. AI aids market research and drafting; bench work stays human. | 30% AI helps |
| Direct, coordinate, organize, or prioritize biological laboratory activities. AI helps scheduling and tracking; leading people stays human. | 25% AI helps |
| Provide scientific direction for project teams regarding the evaluation or handling of devices, drugs, or cells for in vitro and in vivo disease models. AI drafts protocols and summaries; project direction needs expert calls. | 25% AI helps |
| Coordinate molecular or cellular research activities with scientists specializing in other fields. Cross field coordination depends on live communication and trust. | 18% Needs a person |
| Confer with vendors to evaluate new equipment or reagents or to discuss the customization of product lines to meet user requirements. Vendor meetings and negotiations rely on live human relationships. | 18% Needs a person |
| Evaluate new supplies and equipment to ensure operability in specific laboratory settings. Testing equipment operability needs hands on evaluation in the lab. | 15% Needs a person |
| Supervise technical personnel and postdoctoral research fellows. Supervising people is live, relational work needing human presence. | 12% Needs a person |
| Monitor or operate specialized equipment, such as gas chromatographs and high pressure liquid chromatographs, electrophoresis units, thermocyclers, fluorescence activated cell sorters, and phosphorimagers. Operating specialized instruments needs physical handling and on site checks. | 10% Needs a person |
| Perform laboratory procedures following protocols including deoxyribonucleic acid (DNA) sequencing, cloning and extraction, ribonucleic acid (RNA) purification, or gel electrophoresis. Wet lab procedures need physical hands and manual skill. | 8% Needs a person |
How molecular biologists compare
All occupations (923)
Life, physical and social science (60)
Pay and outlook in the US
- Median pay
- $98,920 a year, May 2025
- People employed
- 13,962 in the US, May 2025
- Projected change in jobs
- +4.7% from 2024 to 2034
Skills to build
- Perform DNA sequencing, cloning and RNA purification manually
- Operate thermocyclers, HPLC and fluorescence activated cell sorters
- Validate AI-drafted manuscripts against raw experimental data
- Analyze experimental data in Python or R
- Supervise technical staff and postdoctoral research fellows
Safer roles nearby
5 related occupations with lower scores.
Questions about molecular biologists and AI
Will AI replace molecular biologists?
Partly. About 3 in 10 working hours go to tasks AI can already do, led by preparing reports and manuscripts and maintaining laboratory records. The work that stays with people is the wet lab work, instrument operation, and the scientific judgment that decides what the data means.
Which tasks will AI take from molecular biologists?
Preparing reports, manuscripts and meeting presentations scores 65 on exposure, the highest in this job. AI drafts and polishes the text well, so the scientist only validates each claim. Designing databases such as mutagenesis libraries scores 62 because AI can generate schemas and library designs from a specification.
Which tasks stay with molecular biologists?
Lab procedures such as DNA sequencing, cloning and RNA purification score 8, the lowest in this job. Wet lab work needs physical hands and manual skill. Operating thermocyclers and cell sorters scores 10 for the same reason, since it requires physical handling and on-site checks.
How can molecular biologists stay valuable as AI takes over tasks?
Keep hands-on skill in wet lab procedures and instrument operation, since those tasks score lowest on exposure. Check AI-drafted manuscripts and analysis code in Python or R against the raw data. Adjust experimental designs yourself when anomalies appear. Lead technical staff and postdoctoral fellows, and coordinate work with scientists in other fields.
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