Microbiologists

Prepare technical reports and recommendations based upon research outcomes.

AI: Fully automatable - AI systems in 2025 can reliably draft technical reports and evidence‑based recommendations from research outcomes with minimal human editing when source data and analyses are provided.

Isolate and maintain cultures of bacteria or other microorganisms in prescribed or developed media, controlling moisture, aeration, temperature, and nutrition.

AI: Partial - Automated culture systems and robotics can perform many aspects of isolating and maintaining microbial cultures, however variability across organisms, contamination control and complex protocol adaptations still need human supervision and intervention.

Study growth, structure, development, and general characteristics of bacteria and other microorganisms to understand their relationship to human, plant, and animal health.

AI: Partial - By 2025 AI can analyze large datasets and model microbial growth and relationships to health, but cannot autonomously design, run and validate the full cycle of exploratory wet‑lab research and novel biological interpretation without human oversight.

Examine physiological, morphological, and cultural characteristics, using microscope, to identify and classify microorganisms in human, water, and food specimens.

AI: Partial - AI image analysis and classification tools can identify many microorganisms from microscopy images, but sample preparation, ambiguous/novel organisms and confirmatory cultural/biochemical tests still require human lab work and judgment.

Provide laboratory services for health departments, for community environmental health programs, and for physicians needing information for diagnosis and treatment.

AI: Partial - Routine laboratory testing and automated result interpretation can be largely automated, yet clinical responsibility, sample collection/handling, QA and regulatory oversight keep full service provision under human control.

Investigate the relationship between organisms and disease, including the control of epidemics and the effects of antibiotics on microorganisms.

AI: Partial - AI can model disease relationships, epidemics and antibiotic effects from data and run in silico experiments, but experimental validation, field epidemiology and policy implementation remain human‑led.

Supervise biological technologists and technicians and other scientists.

AI: Partial - AI can assist with scheduling, performance metrics and decision support, but cannot fully perform leadership, personnel management, mentorship and complex organizational judgment required to supervise scientists and technicians.

Monitor and perform tests on water, food, and the environment to detect harmful microorganisms or to obtain information about sources of pollution, contamination, or infection.

AI: Partial - Automated sensors and laboratory automation plus AI interpretation handle many monitoring tests, but field sampling, complex contamination investigations and regulatory accountability still need human intervention.

Use a variety of specialized equipment such as electron microscopes, gas chromatographs and high pressure liquid chromatographs, electrophoresis units, thermocyclers, fluorescence activated cell sorters and phosphorimagers.

AI: Partial - AI and automation can operate and integrate many specialized instruments via software, yet physical setup, maintenance, troubleshooting and novel experimental configurations require human technicians and scientists.

Study the structure and function of human, animal, and plant tissues, cells, pathogens and toxins.

AI: Partial - AI excels at structural modeling (e.g., proteins) and data analysis of tissues, cells, pathogens and toxins, but cannot fully replace wet‑lab functional experiments and nuanced biological interpretation.

Research use of bacteria and microorganisms to develop vitamins, antibiotics, amino acids, grain alcohol, sugars, and polymers.

AI: Partial - AI can design metabolic pathways, suggest candidate strains and optimize workflows but cannot fully perform or validate wet‑lab experiments and regulatory development end‑to‑end without human-led laboratory work.

Develop new products and procedures for sterilization, food and pharmaceutical supply preservation, or microbial contamination detection.

AI: Partial - AI can generate novel protocol designs, simulate sterilization strategies and propose detection methods, but real‑world validation, regulatory approval, and implementation require human oversight and lab/field testing.

Observe action of microorganisms upon living tissues of plants, higher animals, and other microorganisms, and on dead organic matter.

AI: Partial - AI can analyze imaging and omics data to observe microorganism interactions and simulate effects, but running and ethically supervising in vivo/in planta experiments and interpreting novel pathological phenomena require human researchers.

Conduct chemical analyses of substances such as acids, alcohols, and enzymes.

AI: Partial - AI can process and interpret chemical analysis data and control automated instruments, yet physical sample handling, complex method development and confirmation still need human technicians and analysts.