Electrical and electronic design
ISCO-08 2151, 2152Electrical design engineer, Electronics design engineer, Hardware engineer, Power electronics engineer, PCB design engineer, R&D project engineer
Headcount need, in FTE
Target AI skills
level 1 to 4Job skills
Growing in value
- Simulation and design trade-off decisions
- System architecture across hardware and software
- Standards compliance by design (IEC, EMC)
- Reviewing AI-generated schematics and calculations
- Thermal and EMC problem solving
Losing value
- Component library and footprint creation
- Bill of materials preparation and checks
- Routine sizing calculations
- Datasheet search and comparison
How the job will change
An electrical designer spends a large share of the week on tasks around the design itself: searching datasheets, building component libraries, checking bills of materials, writing design notes. AI tools already speed these up, and design aids are starting to propose schematics, board placement and first sizing calculations for standard functions such as power supplies or protection circuits.
Value moves to what tools handle poorly: system architecture, trade-offs between cost, heat dissipation and electromagnetic compatibility, and compliance with IEC and UL standards from the first sketch. A good designer tomorrow will check an AI-generated circuit as rigorously as a colleague's, and will understand why a protection device must hold during a short circuit.
- 2026-2027
- Assistants for datasheet search, design documentation and test bench scripts.
- 2028-2030
- AI-assisted schematics and layout for standard functions, with mandatory human review.
- 2031+
- Leaner design teams per product, more system architects and compliance experts.
Power electronics and EMC expertise is scarce and slow to build. If junior designers no longer learn through routine sizing work, the next generation of experts will be thin. See the seniority outlook below.
What if you hired fewer juniors?
Your 2036 seniors are the juniors you hire today.
Advanced settings modified
2026 2036
The AI Cookbook 2026
albert's guide to cut through the noise around generative AI and turn it into workforce decisions.
- What AI actually changes in jobs and skills
- Why the junior pipeline matters more than most companies realise
- How to integrate AI into workforce planning

Run these scenarios on your actual workforce
AI Impact Diagnostic: 6 to 8 weeks, your data in albert, three costed scenarios and the projected seniority mix for each job family.
How the numbers are built
Every headcount figure combines four assumptions. Three come pre-filled from public research and job family defaults. The strategic ceiling is yours to set.
Seniority outlook
A flow model with three levels of experience in the profession. Promotion and exit rates are set so that today's mix stays stable when hiring does not change: any gap you see comes from the junior hiring cut alone.
Sources
- International Labour OrganizationGenerative AI and jobs: a refined global index of occupational exposure (2025)
- ILO datasetTask-level GenAI exposure scores by ISCO-08 occupation
- AnthropicAnthropic Economic Index (June 2026 release, April and May 2026 usage data)
- Stanford Digital Economy LabCanaries in the Coal Mine? Six facts about the recent employment effects of AI