Lesson 306 of 1550
AI Skills by Role in 2026: A Realistic Map
What 'AI skills' means depends on your role. PMs, designers, sellers, engineers, analysts each need different skills. Here's the realistic 2026 map.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2AI career skills
- 3role-specific
- 4career planning
Concept cluster
Terms to connect while reading
Section 1
The premise
Generic 'AI skills' advice misses what specific roles actually need; role-specific clarity drives faster career growth.
What AI does well here
- For PMs: eval design, prompt engineering, AI product judgment
- For designers: AI-augmented prototyping, design system maintenance with AI
- For sellers: AI for prospecting, demo prep, customer-facing AI proficiency
- For engineers: AI-assisted coding, agent orchestration, evaluation infrastructure
What AI cannot do
- Substitute role-specific AI skills for the underlying role craft
- Predict which AI skills will matter in 5 years
- Generate the network effects that drive senior career moves
Key terms in this lesson
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