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One Chart Shows Why Even Non-Tech Job Seekers Should Get Comfortable with AI
If you’ve been steering clear of AI, now is the time to get familiar with it. Employers are increasingly looking for AI skills well beyond software development roles.
According to a new analysis by Pawel Adrjan, senior director of economic research for Europe, the Middle East, and Africa at the Indeed Hiring Lab, the number of “AI-touched” job titles in the US has surged. These are titles with at least five job postings mentioning AI in a given quarter.
- In 2022: 264 AI-touched titles (2.6% of titles with at least five postings)
- Q1 2026: 822 AI-touched titles (8.3%)
Importantly, **63% of these AI-touched titles are in non-tech fields**.
How AI Is Spreading Across Occupations
Software development still leads, but its dominance is shrinking as AI skills spread:
| Occupation Category | Q1 2022 Share | Q1 2026 Share |
|----------------------------------|---------------|---------------|
| Software development | 30% | 22% |
| Management | 9% | 13% |
| Information design & documentation | 8% | 11% |
| Sales | 9% | 6% |
| Marketing | 3% | 5% |
| Scientific research & development| 9% | 5% |
| Mathematics | 8% | 4% |
| Education and instruction | 1% | 3% |
| Project management | 3% | 3% |
| Administrative assistance | 1% | 2% |
| Media and communications | 0% | 2% |
| Banking and finance | 1% | 2% |
| Legal | 1% | 2% |
Source: Indeed Hiring Lab (titles considered AI-touched if mentioned in at least five postings in the quarter).
Categories like management, marketing, education, and instruction have seen notable gains. This shows employers want professionals who combine deep domain expertise with AI fluency — for example, a physical therapist who uses AI for documentation while focusing on patient care.
Real-World Examples
- AI Autonomous Truck Test Driver
- Physical Therapist (AI Documentation)
- AI Project Engineer
- Electrical Engineer — Battery Systems for AI Data Centers
Augmentation, Not Just Replacement
Adrjan emphasizes that AI in job titles is more often a signal of **demand and augmentation** than replacement. Employers still want people in the roles—they just expect them to use AI tools effectively.
> “It really seems to capture employers who want AI skills to be incorporated into the job, which looks a bit like augmentation.” — Pawel Adrjan
This mirrors how basic computer skills moved from IT departments into nearly every job decades ago. You don’t need a computer science degree or deep technical expertise. What matters is applying AI to the work and domain you already know.
A separate Indeed analysis by economist Guillermo Gallacher suggests the relationship between AI exposure and job postings may be shifting from job reduction (2022–2026) toward job creation in more recent periods.
Bottom Line for Job Seekers and Workers
AI competence is quickly becoming an expectation across many occupations. Getting comfortable with AI tools now can open more opportunities and reduce the risk of falling behind.
Employers and educational institutions can help by offering targeted training, especially for specialized tools. But individuals can (and should) start upskilling on their own.
The message is clear: AI isn’t just for coders anymore. Familiarity with it is becoming a practical advantage in almost any field.