Video course · 7 chapters · 22 min · certificate
Why AI Adoption Stalls by Week 3-6 Management Skills That Work
Why AI adoption stalls after the first weeks, and what managers can do: the missing middle, AI as a management skill, jagged capabilities and their traps, centaur versus cyborg working styles, the skills behind AI fluency, real barriers and organizational strategies.
What you'll learn
- Explain why AI usage drops after initial excitement
- Treat AI use as a management skill
- Recognize jagged capabilities and their traps
- Choose between centaur and cyborg working styles
- Build durable AI fluency skills
- Design lightweight teams that drive adoption
Chapters
7 chapters · 21:32-
2:06
01Problem Members
The missing middle of AI
A large study shows AI usage fades after early excitement.
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2:23
02Mindset Members
AI as a management skill
The issue isn't training or tech; using AI well is a management skill.
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3:02
03Capabilities Members
Jagged capabilities and traps
AI is great at some tasks and poor at others nearby.
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2:42
04Working styles Members
Centaur versus cyborg
Two styles: dividing tasks versus blending AI into every step.
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3:27
05Skills Members
Skills for AI fluency
Durable skills that transfer across tools and survive model upgrades.
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3:36
06Barriers Members
Barriers to adoption
What research says actually blocks adoption.
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4:16
07Strategy Members
Organizational strategies
Lightweight, fast-moving teams that experiment with workflows.
Jobs this course suits
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