Audio Describers
Overall Exposure
2025 vs 2023
Theoretical Exposure
76What AI could do
Observed Exposure
34What AI actually does
Automation Risk Score
42Displacement 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 | 48 | 70 | 26 | 35 | actual |
| 2025 | 55 | 76 | 34 | 42 | estimated |
| 2026 | 61 | 81 | 41 | 49 | estimated |
| 2027 | 67 | 85 | 49 | 55 | estimated |
| 2028 | 72 | 88 | 56 | 60 | estimated |
Task Breakdown
About This Occupation
If you work as an Audio Describer, AI is transforming how visual content is made accessible. With an automation risk of 42/100 and overall exposure at 55%, this role faces high transformation. Script writing sees the highest automation at 65%, while recording and timing remains moderately automated at 45%.
Frequently Asked Questions
With an automation risk score of 42%, Audio Describers faces a moderate level of AI-driven change. Some tasks can be automated, but many require human judgment, creativity, or interpersonal skills that AI cannot yet replicate. The role is more likely to evolve alongside AI than be replaced.
The AI automation risk score for Audio Describers is 42% (2025 data). Overall AI exposure is 55%, with 76% theoretical exposure and 34% observed exposure. The risk trend from 2023 to 2025 is 0 points.
The tasks with the highest automation potential for Audio Describers are: Write descriptive scripts for visual media content (65%), Record and time audio descriptions to dialogue gaps (45%), Review and quality-check accessibility compliance (38%). 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 +3% employment change for Audio Describers from 2024 to 2034. Combined with an overall AI exposure of 55%, 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 Audio Describers 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.