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Automation

As explained in Introduction to Generative AI, Second Edition

Automation is the use of technology to perform tasks or processes with reduced direct human labor.

Automation uses technology to perform tasks with less direct human labor. Generative AI extends it into customer service, marketing, legal research, software development, and other cognitive work. section 6.10

Its effects are uncertain and uneven. AI may raise productivity and living standards, yet adoption takes time and can quietly restructure roles, eliminate departments, or replace workers. The more likely result is task transformation rather than immediate mass unemployment, requiring adaptation, retraining, or specialization where human judgment, creativity, and emotional intelligence remain valuable. section 6.10

How Introduction to Generative AI, Second Edition covers it

How deep it goes
Explains affected tasks, adoption delays, worker displacement, and adaptation needs without detailing implementation mechanisms.
Examples
Uses customer support, content moderation, administrative work, marketing, legal research, and software development as affected work.
What you can do after
Evaluate how generative AI may alter tasks, productivity, employment, and retraining needs while distinguishing forecasts from established effects.
How it connects
Connects automation to generative AI, productivity, labor markets, retraining, human judgment, creativity, and emotional 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.