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Computer Programmers

Computer & Mathematicalvery highautomate
BLS 2024-34: -6%
Median Wage: $97,800
Employment: 147K

Overall Exposure

75+13

2025 vs 2023

Theoretical Exposure

94

What AI could do

Observed Exposure

75

What AI actually does

Automation Risk Score

70

Displacement risk

3-Year Outlook (2025 β†’ 2028)

Projected changes in AI automation metrics over the next 3 years based on estimated data.

Overall Exposure

75β†’87
+12

2025 β†’ 2028 (estimated)

Theoretical Exposure

94β†’96
+2

2025 β†’ 2028 (estimated)

Observed Exposure

75β†’90
+15

2025 β†’ 2028 (estimated)

Automation Risk

70β†’80
+10

2025 β†’ 2028 (estimated)

Exposure Metrics (2023 - 2028)

Detailed Metrics Table

YearOverallTheoreticalObservedRiskData Type
202362923255actual
202468935262actual
202575947570actual
202680958275estimated
202784968778estimated
202887969080estimated

Task Breakdown

Write code
85%Ξ² 1
Debug programs
70%Ξ² 1
Write documentation
90%Ξ² 1

About This Occupation

If you work as a Computer Programmers, AI is reshaping your profession. With an automation risk of 70/100 and overall exposure at 75%, this role faces very high transformation. The highest-impact area is write documentation at 90% automation. This is classified as an 'automate' role. BLS projects -6% decline through 2034. Workers who develop complementary skills will be best positioned for the evolving landscape.

Prepare for AI Changes

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Frequently Asked Questions

With an automation risk score of 70%, Computer Programmers faces a significant risk of AI-driven displacement. Many core tasks in this role can be automated by current AI systems. However, full replacement is unlikely in the near term -- AI will more likely transform the role rather than eliminate it entirely.

The AI automation risk score for Computer Programmers is 70% (2025 data). Overall AI exposure is 75%, with 94% theoretical exposure and 75% observed exposure. The risk trend from 2023 to 2025 is +15 points.

The tasks with the highest automation potential for Computer Programmers are: Write documentation (90%), Write code (85%), Debug programs (70%). These rates reflect how much of each task current AI systems can handle, based on research data from Anthropic and academic sources.

The BLS projects -6% employment change for Computer Programmers from 2024 to 2034. Combined with an overall AI exposure of 75%, this occupation is experiencing both traditional labor market shifts and AI-driven transformation. Workers should monitor both employment trends and AI capability growth.

Since AI primarily automates tasks in this role, professionals in Computer Programmers should focus on developing skills that complement AI rather than compete with it. Consider learning AI tool management, shifting toward supervisory and quality-control tasks, and building expertise in areas where human judgment remains essential.

Recent AI Impact Changes

Apr 2026: BOK research identifies codified, textbook-style knowledge work as most AI-vulnerable. Korean youth employment in AI-exposed coding/programming roles shows paradoxical growth (+1.2pp) but collapsing new-hire rates.

[Source: Bank of Korea Employment Research (2025)]

Mar 2026: Dallas Fed: Computer systems design sector shows employment decline of 5% alongside 16.7% wage growth, suggesting AI automates routine coding while rewarding complex problem-solving.

[Source: Dallas Fed (Feb 2026)]

Mar 2026: Brookings: coding tasks are most AI-exposed, but no aggregate employment decline observed after 33 months.

[Source: Brookings Institution]