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Augmentation

As explained in Introduction to Generative AI, Second Edition

Augmentation is the use of technology to enhance human capabilities rather than replace human participation.

Augmentation uses technology to enhance human capabilities rather than replace human participation. In work, it pairs people with AI systems to create value neither could achieve alone. section 6.10

Augmentation contrasts with automation and replacement. AI can empower knowledge workers, yet market incentives may favor substituting for labor, reducing wages, weakening bargaining power, and widening inequality. Access and skill also matter: workers who can use AI tools are seeing productivity and wage gains, while others risk falling behind. section 6.10

AI-assisted work

A worker uses an AI tool to increase productivity instead of being replaced by it. The same technology can produce uneven outcomes when access, skills, and bargaining power differ. section 6.10

How Introduction to Generative AI, Second Edition covers it

How deep it goes
Defines the collaboration principle and contrasts its economic risks with automation, without implementation details.
Examples
Uses knowledge work, AI tool use, worker access and skills, and skilled trades to illustrate uneven effects.
What you can do after
Evaluate AI work systems by comparing collaboration, replacement, productivity gains, worker risks, and distributional effects.
How it connects
Connects augmentation with automation, productivity, labor markets, inequality, and artificial intelligence.

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This explainer was generated by Manning's knowledge graph from the text of Introduction to Generative AI, Second Edition. The section links point to the parts of the book it draws on.