A-Z Popular Blog Automation Search »
Business Analysis
 Advertisements
Related Guides
Business Automation
Key Concepts
Strategic Planning

Bottom-Up

7 Examples of Automation Risk

 , updated on
Automation risk is the potential for automation to replace jobs. Machines began to automate work as early as the 1760s. This process has led to social disruption at times but generally speaking, the jobs have historically been replaced with new professions. Technology appears to improve at an exponential or hyperbolic rate. This means that technology is currently improving at a much greater rate of speed that it did historically. As such, there is potential for jobs to be replaced faster than people can adjust. This may lead to social instability, political change and economic problems. The following are illustrative examples of automation risk.

Physical Tasks

Physical tasks have been a primary target of automation since the beginning of the industrial revolution. Robotics and artificial intelligence are approaching the point that they can overcome obstacles and handle unpredictable situations. This allows most physical work to be automated.

Health & Safety

Responsibility for health & safety in areas such as medicine and transport. People may be hesitant to trust automation that impacts health and safety until it can be shown to be definitely and significantly safer than the traditional approach.

Administration

Administrative processes have been a focus of automation since the 1960s. Self-service tools, electronic data processing and process automation are likely to continue to reduce administrative workloads.

Stakeholder Interactions

Jobs that involve regular contact with stakeholders such as investors, customers, employees, regulators and the media are often seen as somewhat protected from automation as they are based on people-skills. However, it is possible to replace communication with self-service tools. For example, an ecommerce firm that replaces a local shop.

Architecture & Design

At one time, jobs in areas such as architecture, design, coding and engineering were viewed as too complex for automation. However, it is clear that software tools are able to eliminate low level work in these professions and this trend is only likely to accelerate. Future design may be based on extremely high level tools that can be used directly by business units or customers. For example, architecture modelers and simulators may eventually allow customers to design their own houses with software ensuring compliance to architecture practices, principles, standards and regulations.

Knowledge Work

The digital automation of business beginning in the 1960s has historically been accompanied with a boom in knowledge work with a large number of new professions in areas such as information technology, strategy, management, marketing, media production, planning, analysis and controls. It is unclear if this will continue or if significant knowledge work will be automated with techniques such as decision automation.

Arts & Entertainment

Automation may result in shifts to the economy that are currently unimaginable. Professions may shift towards creative work, governance, education, arts, entertainment and other areas that a society or culture values as a human pursuit.
Overview: Automation Risk
Type
Definition
The potential for automation to replace jobs.
Related Concepts

Information Technology

This is the complete list of articles we have written about information technology.
AI
Algorithms
App Management
Audit Trail
Automation
Autoscaling
Benchmarking
Business Software
Choreography
Cloud Computing
Cloud Scaling
Code Smell
Coding
Complexity Hiding
Computing
Cryptography
Dark Data
Data
Data Architecture
Data Dredging
Data Infrastructure
Data Integration
Data Science
Data Security
Data Wrangling
Databases
Deep Magic
Digital Transformation
Diy
Edge Computing
Emergence
Endpoints
Enterprise Architecture
Event Processing
Gamification
High Availability
Honeypot
Horizontal Scale
Incidents
Information Science
Information Security
Information Technology
Integration
IT Architecture
IT Artifact
IT Assets
IT Biases
IT Capabilities
IT Controls
IT Gaps
IT Goals
IT Governance
IT Lifecycle
IT Management
IT Metrics
It Metrics
IT Objectives
IT Operations
IT Planning
IT Risks
IT Services
IT Strategy
IT Support
Key Stretching
Last Mile
Least Privilege
Low Technology
Managed Services
Master Data
Modernization
Mods
Network Arch.
Network Infra.
Networking
Office Automation
Operating Systems
Over-Automation
Overlay Network
Password Entropy
Payback Period
Peer-to-peer
Precomputation
Proof Of Work
Quality Assurance
Regression Testing
Reputation Systems
Robotics
Self Service
Service Level
Service Management
Software
Software Quality
Solution Architecture
Space
Strategic Planning
System Architecture
Systems
Technical Skills
Technology
Technology Culture
Technology Issues
Technology Strategy
Unstructured Data
Utility Computing
Workload Automation
Zero-day
If you enjoyed this page, please consider bookmarking Simplicable.
 

Design Automation

A definition of design automation with examples.

Office Automation

The common types of office automation.

Process Orchestration

An overview of process orchestration.

Types Of Artificial Intelligence

A few common types of artificial intelligence.

Technological Singularity

Technological singularity explained.

Affective Computing

Artificial intelligence and emotion.

Artificial Life

An overview of artificial life.

Machine Logic

How artificial intelligence can be illogical.

Deep Learning

A definition of deep learning with examples.

Supervised Learning vs Unsupervised Learning

The difference between supervised and unsupervised learning with an example.

Natural Language Processing

The common types of natural language processing.

Autonomous Systems

Common types of autonomous systems.

Artificial Intelligence Examples

Common examples of artificial intelligence.
The most popular articles on Simplicable in the past day.

New Articles

Recent posts or updates on Simplicable.
Site Map