Overview
1. Automation Risk
2. User Poll
3. Growth
4. Wages
5. Volume
Decription
Resources
Comments

Computer Systems Engineers/Architects

Low Risk
38%
Where Would You Like to Go Next?
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Vote Comments (4)
Or, Explore This Profession in Greater Detail...
AUTOMATION RISK
CALCULATED
34%
(Low Risk)
POLLING
43%
(Moderate Risk)
Average: 38%
LABOR DEMAND *
GROWTH
10.8%
by year 2033
WAGES
$104,920
or $50.44 per hour
Volume
437,170
as of 2023

Employment data isn't available specifically for this occupation from the Bureau of Labor Statistics, so we are using the data from Computer Occupations, All Other.

SUMMARY
JOB SCORE
7.1/10

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Calculated automation risk

34% (Low Risk)

Low Risk (21-40%): Jobs in this level have a limited risk of automation, as they demand a mix of technical and human-centric skills.

More information on what this score is, and how it is calculated is available here.

Some quite important qualities of the job are difficult to automate:

  • Originality

  • Negotiation

  • Persuasion

  • Social Perceptiveness

User poll

43% chance of full automation within the next two decades

Our visitors have voted they are unsure if this occupation will be automated. However, employees may be able to find reassurance in the automated risk level we have generated, which shows 34% chance of automation.

What do you think the risk of automation is?

What is the likelihood that Computer Systems Engineers/Architects will be replaced by robots or artificial intelligence within the next 20 years?






Sentiment

The following graph is included wherever there is a substantial amount of votes to render meaningful data. These visual representations display user poll results over time, providing a significant indication of sentiment trends.

Sentiment over time (yearly)

Growth

Very fast growth relative to other professions

The number of 'Computer Occupations, All Other' job openings is expected to rise 10.8% by 2033

* Data from the Bureau of Labor Statistics for the period between 2021 and 2031
Updated projections are due 09-2024.

Wages

Very high paid relative to other professions

In 2023, the median annual wage for 'Computer Occupations, All Other' was $104,920, or $50 per hour

'Computer Occupations, All Other' were paid 118.3% higher than the national median wage, which stood at $48,060

* Data from the Bureau of Labor Statistics

Volume

Significantly greater range of job opportunities compared to other professions

As of 2023 there were 437,170 people employed as 'Computer Occupations, All Other' within the United States.

This represents around 0.29% of the employed workforce across the country

Put another way, around 1 in 347 people are employed as 'Computer Occupations, All Other'.

Job description

Design and develop solutions to complex applications problems, system administration issues, or network concerns. Perform systems management and integration functions.

SOC Code: 15-1299.08

Resources

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Comments

FERNANDO DA COSTA DIAS (Uncertain) 25 days ago
"I don't know anymore. Everything is being replaced."
0 0 Reply
Corydon Hinton (Uncertain) 1 year ago
Aspects of the job may be augmented by automation but extracting and negotiating requirements and mapping to technical domains will require communication, originality, and social skills.
1 0 Reply
Lew Jacobs (Moderate) 2 years ago
ML may not replace 100%, but it can narrow potential options and mitigate risk better than humans, and leave low-value workers to whittle down from the output shortlist. ML can already conduct interviews that branch dynamically according to discovered heuristics. A challenge may be interacting with humans and other systems to deal with small but messy and long lists of items that require ad hoc classification.
0 0 Reply
Mannery Rivera 10 months ago
Machine learning offers opportunities to improve efficiency and mitigate risks across various fields. Although it may limit options and gradually reduce low-value workers in certain cases, it is not a perfect or complete solution. The interaction between humans and ML systems is crucial, especially when addressing complex challenges such as ad hoc data classification. It is essential to carefully consider both the benefits and limitations of ML, ensuring that its implementation is carried out ethically and that human and social interests are protected.
0 0 Reply

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