Understanding AI Augmentation Ratings
AI Augmentation ratings indicate the extent to which artificial intelligence is expected to support and enhance human work, rather than replace it entirely. Occupations with higher augmentation scores typically:
Involve complex decision-making or human judgment
Benefit from AI tools that improve productivity or accuracy
Require collaboration between humans and technology
In contrast, occupations with high automation risk are more likely to see tasks replaced rather than augmented.
Examples of AI Augmentation vs. Automation
To make AI Augmentation ratings more tangible, consider the following examples:
High AI Augmentation with Low AI Automation Risk
These roles are likely to be enhanced by AI tools, not replaced by them:
Doctors and healthcare professionals – AI can assist with diagnostics, medical imaging analysis, and treatment recommendations, while clinical judgment and patient interaction remain human-led.
Low AI Augmentation with High AI Automation Risk
These roles are more likely to see tasks replaced rather than augmented:
Data entry clerks – Repetitive, rules-based tasks are easily automated with minimal need for human judgment.
How to find the AI Augmentation & Automation Filters
Here are the steps in using the tool (see also screenshots below):
From the Home screen, navigate to Labour Market Intelligence tile (or find from the left-hand menu)
You are defaulted to the Highlights Report
Scroll to the upper right and find both the AI Automation and Augmentation filters
Combining AI Augmentation and AI Automation Filters
For a more precise analysis, you can combine AI Augmentation and AI Automation filters, e.g.:
Set AI Augmentation to Medium or High
Set AI Automation Risk to Low or Medium
This combination helps surface occupations where AI adoption is likely to complement human skills without significant job displacement.
Identifying Roles with Low AI Automation Risk with High AI Augmentation
Roles that meet both criteria (i.e. low AI Automation Risk and High AI Augmentation) are particularly valuable for long-term workforce stability. These occupations often:
Adapt well to new AI-enabled tools,
Require reskilling rather than replacement,
Offer strong opportunities for upskilling existing employees
Use sorting and comparison tools within the platform to rank occupations by augmentation score while excluding those with high automation risk.
Using AI Augmentation Insights for Workforce Planning and Reskilling
Using AI Augmentation analysis can be used to:
Identify future-proof roles within your industry, country or region,
Prioritize reskilling programs aligned with AI-enabled tasks,
Support policy, education, and training decisions,
Inform career guidance and workforce transition strategies
By focusing on occupations with high augmentation potential, organizations can proactively prepare for AI-driven change while retaining and empowering their workforce.