The Diffusion Dilemma
9 days ago
- #general-purpose-technologies
- #innovation-adoption
- #technology-diffusion
- The tractor, introduced in 1892, marked a shift from animal to machine power but took decades to diffuse widely, illustrating the 'diffusion deficit'.
- Everett Rogers' diffusion theory highlights five adopter categories and factors like relative advantage and compatibility that influence technology adoption.
- General-purpose technologies (GPTs) like electricity and IT require complementary innovations and skills, leading to delayed but transformative impacts.
- Industrial reorganization is crucial for GPT adoption, as seen in the shift from steam to electric motors in factories.
- The 'productivity paradox' of IT in the 1970s-80s shows that initial productivity drops can precede significant gains once complementary innovations emerge.
- Current AI research focuses on AGI, but diffusion strategies like 'wrappers' (e.g., Manus) are essential for real-world impact.
- AI-native organizations and interoperable frameworks are needed to fully harness AI, similar to past GPTs like electricity and IT.