Mycologists
Overall Exposure
2025 vs 2023
Theoretical Exposure
55What AI could do
Observed Exposure
21What AI actually does
Automation Risk Score
17Displacement risk
3-Year Outlook (2025 โ 2028)
Projected changes in AI automation metrics over the next 3 years based on estimated data.
Overall Exposure
2025 โ 2028 (estimated)
Theoretical Exposure
2025 โ 2028 (estimated)
Observed Exposure
2025 โ 2028 (estimated)
Automation Risk
2025 โ 2028 (estimated)
Exposure Metrics (2023 - 2028)
Detailed Metrics Table
| Year | Overall | Theoretical | Observed | Risk | Data Type |
|---|---|---|---|---|---|
| 2024 | 33 | 50 | 16 | 13 | actual |
| 2025 | 38 | 55 | 21 | 17 | estimated |
| 2026 | 43 | 60 | 26 | 21 | estimated |
| 2027 | 48 | 65 | 31 | 25 | estimated |
| 2028 | 52 | 69 | 35 | 28 | estimated |
Task Breakdown
About This Occupation
If you work as a Mycologist, AI is augmenting your classification and data analysis tasks. With an automation risk of 17/100 and overall exposure at 38%, this role faces medium transformation. Genomic species classification sees the highest automation at 56%. BLS projects +5% growth through 2034.
Frequently Asked Questions
With an automation risk score of 17%, Mycologists has a low risk of AI replacement. Most tasks in this role require skills that are difficult for AI to replicate, such as complex decision-making, physical dexterity, or deep interpersonal interaction. AI is more likely to serve as a supportive tool.
The AI automation risk score for Mycologists is 17% (2025 data). Overall AI exposure is 38%, with 55% theoretical exposure and 21% observed exposure. The risk trend from 2023 to 2025 is 0 points.
The tasks with the highest automation potential for Mycologists are: Classify and identify fungal species using genomic data (56%), Analyze fungal metabolites for pharmaceutical applications (48%), Collect and culture fungal specimens in laboratory (20%). These rates reflect how much of each task current AI systems can handle, based on research data from Anthropic and academic sources.
The BLS projects +5% employment change for Mycologists from 2024 to 2034. Combined with an overall AI exposure of 38%, this occupation is experiencing both traditional labor market shifts and AI-driven transformation. Workers should monitor both employment trends and AI capability growth.
Since AI primarily augments capabilities in this role, professionals in Mycologists should embrace AI as a productivity multiplier. Focus on learning to use AI tools effectively, developing higher-order analytical and creative skills, and positioning yourself as someone who can leverage AI to deliver greater value.