Category hub

AI displacement risk in Technology jobs

Compare task exposure, automation potential, augmentation potential, and transition pressure across this work family. Category scores average the current published occupation sample.

Average exposure 64

Task-level reachability by current AI systems.

Average automation 39%

Estimated potential for task transfer to software.

Average augmentation 65%

Estimated potential for AI to expand worker output while keeping human accountability.

How AI is changing Technology work

Technology jobs do not move as one block. Some tasks are exposed to automation because they are routine, language-heavy, rules-based, or easy to route through software. Other tasks become more valuable because they require trust, physical context, judgment, coaching, compliance, or accountable decisions.

In the current displacement.ai sample, average exposure is 64, average automation pressure is 39%, and average augmentation potential is 65%. The highest displacement pressure in this category is Computer Programmers, while the most resilient published role is Information Security Analysts. Use those contrasts to decide whether the better move is redesigning the current job, moving into supervision, or building a bridge to an adjacent occupation.

Occupation pages

Compare AI risk across Technology roles

Each page below includes task-level exposure, automation and augmentation scores, wage context, transition pathways, upskilling priorities, and a 90-day planning outline.

SOC 15-1252

Software Developers

Code generation changes the junior task bundle, but architecture, debugging, security, product judgment, and system ownership keep the role augmentation-heavy.

Exposure
63
Automation
29%
Augment
74%
Low
SOC 27-1024

Graphic Designers

Asset variation, layout drafts, and production design are exposed, while brand judgment, creative direction, client interpretation, and systems thinking become more important.

Exposure
64
Automation
42%
Augment
63%
Moderate
SOC 15-1212

Information Security Analysts

Alert triage, report drafting, detection tuning, and policy review can be accelerated by AI. Accountability, incident command, adversarial reasoning, and environment-specific context keep the role resilient.

Exposure
48
Automation
24%
Augment
72%
Low
SOC 15-1251

Computer Programmers

Writing code to someone else's specification is exactly what AI coding tools now do well, and BLS projected this occupation to decline even before modern code generation. The defensible move is up the stack: owning design, integration, review, and outcomes rather than implementation alone.

Exposure
72
Automation
49%
Augment
61%
High
SOC 15-1254

Web Developers

Template sites, simple storefronts, and routine page builds are increasingly produced by AI site builders, squeezing the low end of the market. Value consolidates in product engineering, performance, accessibility, integrations, and owning outcomes for businesses rather than pages.

Exposure
68
Automation
42%
Augment
66%
Moderate
SOC 15-1253

Software Quality Assurance Analysts and Testers

Manual regression passes and routine test-case writing are heavily exposed as AI generates tests and exercises applications directly. Quality strategy, risk-based judgment about what to test, and owning release confidence are the durable layer, pushing QA toward engineering and away from execution.

Exposure
69
Automation
45%
Augment
64%
Moderate
SOC 15-1232

Computer User Support Specialists

Password resets, how-to questions, and known-issue triage are moving to AI assistants that resolve tickets before they reach a human. Hands-on hardware, escalations, endpoint security, and judgment calls in messy environments keep the human tier, which shifts the job toward harder tickets and systems work.

Exposure
66
Automation
44%
Augment
55%
Moderate

What to do next

  1. Open the occupation page closest to your current work and review the task profile.
  2. Compare the top two transition pathways and choose the one that preserves the most wage and skill overlap.
  3. Use the calculator to adjust location, salary target, training runway, strengths, and move style.
  4. Save or share the plan before starting a course, portfolio project, or internal career conversation.
Which Technology jobs are most exposed to AI?

In this category, Computer Programmers currently has the highest displacement-pressure score in the published sample. Review the role page to see whether the risk comes from language work, routine information handling, reporting, customer interaction, or another task pattern.

Does a high category score mean every job is unsafe?

No. Category averages hide important differences between tasks and roles. Use the occupation pages to compare automation pressure, augmentation potential, wage vulnerability, and transition feasibility before deciding on a move.