Changing fast

Last Update: 3/13/2026

Your role’s AI Resilience Score is

28.9%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium

What does this resilience result mean?

These roles are undergoing rapid transformation. Entry-level tasks may be automated, and career paths may look different in the near future.

AI Resilience Report for

Software Developers

They create and improve computer programs and apps by writing code, solving problems, and making sure everything works smoothly.

This role is changing fast

The career of software development is "Changing fast" because AI tools like GitHub Copilot and ChatGPT are automating routine tasks such as coding snippets, bug fixing, and drafting documentation. These advancements allow developers to work faster, but they still need to review and refine AI-generated work.

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This role is changing fast

The career of software development is "Changing fast" because AI tools like GitHub Copilot and ChatGPT are automating routine tasks such as coding snippets, bug fixing, and drafting documentation. These advancements allow developers to work faster, but they still need to review and refine AI-generated work.

Read full analysis

Contributing Sources

We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.

AI Resilience

AI Resilience Model v1.0

AI Task Resilience

Learn about this score
Changing fast iconChanging fast

5.7%

5.7%

Microsoft's Working with AI

AI Applicability

Learn about this score
Changing fast iconChanging fast

16.8%

16.8%

Anthropic's Observed Exposure

AI Resilience

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Changing fast iconChanging fast

19.2%

19.2%

Althoff & Reichardt

Economic Growth

Learn about this score
Stable iconStable

72.6%

72.6%

High Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

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Growth Rate (2024-34):

15.8%

Growth Percentile:

97.1%

Annual Openings:

115,200

Annual Openings Pct:

90.5%

Analysis of Current AI Resilience

Software Developers

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

What's changing and what's not

Today’s software developers often use AI tools to speed up routine work. For example, coding assistants like GitHub Copilot or ChatGPT can suggest snippets, find bugs, and even rewrite parts of code [1]. AI can also scan user feedback and documents to pull out requirements or generate user stories automatically [1].

Even writing tasks – such as drafting status reports or code documentation – can be partly automated: AI models help create inline comments and draft reports from project data [1] [2]. However, these tools aren’t perfect or on their own. In fact, Bureau of Labor Statistics analysts note that AI-generated code often still fails or needs human fixes [3].

And tasks that require judgment – like choosing hardware based on costs and security, or supervising a team – remain largely human jobs [3]. In short, AI today augments many developer tasks (especially repetitive coding and writing), but people are still in charge of reviewing work and handling the complex parts.

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AI Adoption

AI in the real world

AI tools for developers are widely available, so many companies are experimenting with them. One big reason firms adopt AI quickly is potential payoff: McKinsey estimates generative AI could boost developer productivity so much that it adds $2.6–$4.4 trillion to the global economy [2]. In other words, businesses see a huge benefit if coding goes faster.

At the same time, using AI can be expensive and tricky: there are costs for powerful hardware or cloud services and for integrating AI into existing systems. Experts also warn of risks like security holes or bias in AI-written code [1], so companies move carefully. Finally, the software job market still has strong demand: the BLS reports IT jobs growing even as AI tools emerge [3].

In practice, firms balance these factors – cost savings and developer shortages push adoption forward, while costs, trust, and ethics issues slow it down. Overall, AI is seen as a helpful assistant, but people’s creativity, problem-solving, and leadership remain key for software development [2] [1].

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More Career Info

Career: Software Developers

Employment & Wage Data

Median Wage

$133,080

Jobs (2024)

1,693,800

Growth (2024-34)

+15.8%

Annual Openings

115,200

Education

Bachelor's degree

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

80% ResilienceSupplemental

Specify power supply requirements and configuration.

2

80% ResilienceSupplemental

Use microcontrollers to develop control signals, implement control algorithms, or measure process variables, such as temperatures, pressures, or positions.

3

75% ResilienceCore Task

Supervise the work of programmers, technologists and technicians and other engineering and scientific personnel.

4

75% ResilienceSupplemental

Train users to use new or modified equipment.

5

70% ResilienceSupplemental

Train users to use new or modified equipment.

6

65% ResilienceSupplemental

Advise customer about or perform maintenance of software system.

7

65% ResilienceSupplemental

Specify power supply requirements and configuration.

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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