Software Developers, Systems Software

13%

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Analysis

Will "Software Developers, Systems Software" be replaced by AI & Robots?

There is very little chance of this occupation being replaced by robots/AI. However, our poll suggests a higher chance of automation: a 30% chance of automation within the next 2 decades.

Automation Risk Level

No worries

or 13% probability of automation

Projected Growth

13%

by 2024

Median Annual Wage

$106,860

or $51.37 hourly

People Employed

409,820

as of 2016

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How this compares with other jobs: 182 out of 706

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How likely do you think this occupation will be taken over by robots/AI within the next 20 years?

Job description

Research, design, develop, and test operating systems-level software, compilers, and network distribution software for medical, industrial, military, communications, aerospace, business, scientific, and general computing applications. Set operational specifications and formulate and analyze software requirements. May design embedded systems software. Apply principles and techniques of computer science, engineering, and mathematical analysis.

SOC Code: 15-1133

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Comments

Nobody, really (Likely) says

The software development industry is currently in big need of capable professionals, resulting in (much) higher than average payments (~ 100.000 $/yr). This can mean a lucrative opportunity for investing into automation of software development, which can lead to both structural (most roles, currently essential for creating software will disappear or be transformed to something else) and nominal (people with less experience or smaller skillset can contribute a more to the projects, leading to a decrease in the average pay) changes.

Jun 15, 2019 at 05:33 PM

Bort Lenovo says

I work for a company called Skynet. Currently we are developing a solution to exterminate all humans from the workforce. Should be good.

Apr 29, 2019 at 06:02 AM

David Kohen (Highly likely) says

Essence of the job is the application of algorithms to a determinate system. Most cases in which human understanding is required are the result of humans creating the systems used: poorly designed hardware, poorly designed software and, mainly, poor documentation. As AI enters the field these problems will become less significant and the entire field will become more mathematical. Also software engineers are expensive and the owner of AI companies understand the field and pay that expense, so there is a strong incentive to automate. We're toast...

Apr 17, 2019 at 01:07 PM

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