Recreation Workers
Overall Exposure
2025 vs 2023
Theoretical Exposure
35What AI could do
Observed Exposure
12What AI actually does
Automation Risk Score
14Displacement 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 | 15 | 30 | 8 | 10 | actual |
| 2025 | 20 | 35 | 12 | 14 | estimated |
| 2026 | 24 | 40 | 16 | 18 | estimated |
| 2027 | 28 | 44 | 20 | 22 | estimated |
| 2028 | 32 | 48 | 24 | 26 | estimated |
Task Breakdown
About This Occupation
If you work as a Recreation Workers, AI is augmenting your role. Risk 14/100, exposure 20%.
Frequently Asked Questions
With an automation risk score of 14%, Recreation Workers 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 Recreation Workers is 14% (2025 data). Overall AI exposure is 20%, with 35% theoretical exposure and 12% observed exposure. The risk trend from 2023 to 2025 is 0 points.
The tasks with the highest automation potential for Recreation Workers are: Maintain attendance and activity records (48%), Plan and organize recreational programs (42%), Lead group activities and games (8%). 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 +4% employment change for Recreation Workers from 2024 to 2034. Combined with an overall AI exposure of 20%, 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 Recreation Workers 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.