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Automation

As explained in Inside AI

Automation is the execution of tasks or processes by systems with reduced direct human intervention.

Automation lets systems carry out tasks with less direct human intervention. It works best when a task is repeatable and its conditions are controlled: a factory robot, for example, can punch holes in metal all day without tiring. AI can also help businesses streamline routine work, leaving people more time for complex or creative tasks. section 8.1 section 1.2

The pizza-making test

Zume combined people and robots to make pizzas, while an AI system optimized production and delivery routes. The venture attracted a $375 million investment in 2018 but ceased pizza operations by January 2020 after encountering challenges. A working automated task, even one backed by substantial resources, does not guarantee a viable end-to-end service. section 8.1

The hard question is not simply whether a machine can perform one step. Real-world tasks can be complex and imperfect, and many professions call for intuition, empathy, or deduction that current AI lacks. Assess automation task by task rather than treating a demonstration as proof that an entire job can be replaced. section 8.1 section 8.2

How Inside AI covers it

How deep it goes
Explains feasibility through concrete tasks and a failed venture, without detailing how to build an automation system.
Examples
Uses a factory robot punching metal and Zume’s robot-assisted pizza production and delivery.
What you can do after
Evaluate/understand it by distinguishing an automatable task from a viable service or replaceable profession.
How it connects
Links automation to AI, robotics, route optimization, supply chain management, and job displacement.

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Related concepts

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