| Characteristic | Low complexity | Medium complexity | High complexity |
|---|---|---|---|
| - | - | - | - |
| - | - | - | - |
| - | - | - | - |
| - | - | - | - |
| - | - | - | - |
| - | - | - | - |
| - | - | - | - |
| - | - | - | - |
| - | - | - | - |
| - | - | - | - |
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Source
Source
Release date
February 2025
More information
Region
Worldwide
Survey time period
2024 to 2025
Supplementary notes
The source adds the following information: The research assessed over 17 million companies globally, with detailed analysis of 7,000 companies employing 72 million people to evaluate the realistic value at stake from fully deploying and adopting generative AI. The precise survey period is not identified.Â
The source defined the complexity levels as follows:
- Low complexity: Simple tasks that can be easily enhanced using standard, publicly available generative AI tools like Copilot or ChatGPT without requiring customization.
- Medium complexity: Tasks where generative AI could improve performance, but would require tailored solutions beyond basic off-the-shelf AI applications.
- High complexity: Tasks that could benefit from generative AI but demand sophisticated, integrated systems coupled with robust governance frameworks and organizational change strategies to ensure successful implementation.
Figures may not add up to 100 due to rounding.Â
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