Quantum Computing Researchers
Overall Exposure
2025 vs 2023
Theoretical Exposure
53What AI could do
Observed Exposure
18What AI actually does
Automation Risk Score
16Displacement risk
3-Year Outlook (2025 → 2028)
Projected changes in AI automation metrics over the next 3 years based on estimated data.
Overall Exposure
2025 → 2028 (estimated)
Theoretical Exposure
2025 → 2028 (estimated)
Observed Exposure
2025 → 2028 (estimated)
Automation Risk
2025 → 2028 (estimated)
Exposure Metrics (2023 - 2028)
Detailed Metrics Table
| Year | Overall | Theoretical | Observed | Risk | Data Type |
|---|---|---|---|---|---|
| 2023 | 22 | 40 | 8 | 10 | actual |
| 2024 | 28 | 46 | 12 | 13 | actual |
| 2025 | 35 | 53 | 18 | 16 | actual |
| 2026 | 41 | 59 | 23 | 19 | estimated |
| 2027 | 46 | 64 | 28 | 22 | estimated |
| 2028 | 51 | 69 | 33 | 25 | estimated |
Task Breakdown
About This Occupation
If you work as a Quantum Computing Researcher, AI is reshaping your profession. With an automation risk of 16/100 and overall exposure at 35%, this role faces medium transformation. The highest-impact area is benchmark quantum hardware performance at 55% automation. This is classified as an 'augment' role. BLS projects +22% growth through 2034. The deeply theoretical nature of this work keeps displacement risk low, but AI-assisted simulation is accelerating research cycles.
Frequently Asked Questions
With an automation risk score of 16%, Quantum Computing Researchers 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 Quantum Computing Researchers is 16% (2025 data). Overall AI exposure is 35%, with 53% theoretical exposure and 18% observed exposure. The risk trend from 2023 to 2025 is +6 points.
The tasks with the highest automation potential for Quantum Computing Researchers are: Benchmark quantum hardware performance (55%), Publish research papers and present findings (42%), Design and simulate quantum algorithms (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 +22% employment change for Quantum Computing Researchers from 2024 to 2034. Combined with an overall AI exposure of 35%, 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 Quantum Computing Researchers 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.