Our methodology
How we research roles, assess AI impact, and keep our data current.
How we assess AI impact
Every role on Job Guide to AI is assigned one of three AI impact levels based on structured research:
| Level | What it means |
|---|---|
| High | More than half of the core tasks in this role are likely to be significantly affected by AI in the near term. Professionals in these roles should actively upskill. |
| Medium | AI will change how significant parts of this role are done, but the core of the role remains human-led. Upskilling is important but not urgent. |
| Low | This role relies heavily on physical presence, complex judgment, or human relationships that AI cannot replicate in the near term. |
Research process
For each role, we follow a structured research process:
- Job market data — Employment statistics, salary ranges, and demand trajectories from the Bureau of Labor Statistics and industry sources.
- AI impact analysis — Which tasks are being automated, augmented, or newly created. Backed by employer surveys, academic research, and industry reports.
- Tool landscape — Real AI tools currently in use for the role, with pricing and use cases.
- Upskilling resources — Specific courses, certifications, and platforms. We note whether they are free or paid and include direct links.
- Cross-skilling pathways — Adjacent roles with transferable skills, including demand outlook for each target role.
- Key statistics — Notable figures from recent research, employer surveys, and industry reports, all dated and sourced.
Data sources
Our research draws from publicly available data including:
- U.S. Bureau of Labor Statistics (BLS)
- McKinsey Global Institute reports
- World Economic Forum Future of Jobs reports
- LinkedIn Workforce reports and skills data
- Industry-specific publications and employer surveys
- AI tool vendor documentation and pricing pages
- Course platforms (Coursera, LinkedIn Learning, edX, Udemy)
Update cadence
AI is moving fast. To keep our data useful:
- Quarterly refresh — Every 3 months we re-run the full research process for all roles and update impact assessments as needed.
- On-demand updates — When a major AI development changes the landscape for a role (e.g., a new tool reaches mainstream adoption), we update that role outside the regular cycle.
- Last updated dates — Every role page shows when its data was last reviewed, so you always know how current the information is.
What we don't do
- We don't predict job losses or make alarmist claims.
- We don't accept sponsored content or paid placements.
- We don't recommend tools we haven't verified are real and currently available.
- We don't use jargon without explaining it.
Our goal is to give you an honest, practical picture — not to generate clicks through fear.