Mostly Resilient
Last Update: 8/30/2026
AI Resilience Score for Software Developers:
62.1%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Low
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
High
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
High
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forSoftware Developers
$135,980 median salary•95,300 annual openings•SOC Code: 15-1252.00
Software Developers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 8 sources.
Software development is labeled "Mostly Resilient" because AI has become a powerful helper for developers rather than a replacement, speeding up tasks like writing and reviewing code while leaving the most important work (understanding what users need, designing systems, and making judgment calls) firmly in human hands. The data backs this up: software job openings actually grew 14% year over year, and more people held developer jobs in 2026 than the year before, even as AI adoption soared.
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Software development is labeled "Mostly Resilient" because AI has become a powerful helper for developers rather than a replacement, speeding up tasks like writing and reviewing code while leaving the most important work (understanding what users need, designing systems, and making judgment calls) firmly in human hands. The data backs this up: software job openings actually grew 14% year over year, and more people held developer jobs in 2026 than the year before, even as AI adoption soared.
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Software Developers
Updated Quarterly
How is AI changing Software Developers jobs?
If you're worried that AI is coming for coding jobs, here's the honest picture: AI is already deeply woven into daily software work, but mostly as a super-powered assistant rather than a full replacement. The Stack Overflow Developer Survey 2026 [1], with 49,000+ respondents, shows AI adoption at record highs while trust hits an all-time low, and GitHub Copilot remains widespread at 68% among developers using AI tools, while Cursor debuted at 17.9% and Claude Code hit 9.7% — the fastest first-year IDE debuts ever recorded. Augmentation is real: PR turnaround dropped from 9.6 days to 2.4 days for teams that have adopted AI coding tools — a 75% reduction — and 69% of agent users report increased personal productivity.
At the frontier, augmentation is edging into automation. McKinsey describes bank "agent factories" [2] where nearly a hundred AI agents refine payment systems overnight, delivering "10 times the speed at half the cost," and where engineers now spend their day steering agents rather than typing code. A follow-up McKinsey study on agentic software delivery [2] reports "threefold to fivefold improvements in productivity, with a 60 percent reduction in team size." Carnegie Mellon's Software Engineering Institute [3] is helping define this shift, focusing on "developing reliable automated tools that interact with developers to assist with code evolution and refactoring" and scaling "auto code generation and repair." Judgement tasks — analyzing requirements, consulting with users, designing systems — remain very human.
Sources
How fast is AI adoption growing for Software Developers?
Adoption is moving fast because commercial tools are cheap and everywhere: IEEE Spectrum reports [4] that competitively priced models like GLM 5.2 are pushing token costs down further, making agentic coding affordable for small teams. Economic pressure is also visible in hiring: IBTimes UK reports [5] that "54% of layoff events in 2026" cited AI, automation, or machine learning, affecting over 170,000 workers, with tech hit hardest.
But there are strong brakes. Trust is a big one — the same Stack Overflow data shows most developers don't fully trust AI output, and only 31% of developers use agents at all, while 38% have no plans to adopt them. Demand for human developers is still growing: Technical.ly, citing Federal Reserve data, notes that "software job openings increased 14% year-over-year" and more people held software developer jobs in April 2026 than a year earlier.
Legal and security concerns around AI-generated code — plus the need for humans to review, debug, and take responsibility — mean companies still need people who understand systems deeply.
The takeaway for young people: coding jobs aren't disappearing, but the job is changing. Skills like system design, communication, code review, and judgment are becoming more valuable than raw typing speed. Learning to work with AI — while staying skeptical of its output — is now the core of the craft.
Sources
Will AI replace Software Developers?
No. We don't think AI will replace Software Developers, though we do expect the job to change.
Our 62.1% AI Resilience Score puts this career in "Mostly Resilient" territory, and the data backs that up. AI is already deeply embedded in daily coding work, but mostly as an assistant. GitHub Copilot is used by 68% of developers working with AI tools, and teams using AI coding tools have cut PR turnaround from 9.6 days to 2.4 days [1]. That is augmentation, not replacement.
At the frontier, the shift gets more serious. McKinsey describes setups where AI agents handle overnight code refinement at a fraction of the cost, and engineers spend their days steering those agents rather than writing every line themselves [2]. That is a real change in what the job looks like day to day. But the tasks that require judgment, like analyzing requirements, designing systems, and communicating with users, remain stubbornly human.
The economic picture also supports staying in this field. Software job openings grew 14% year over year, and more people held developer jobs in April 2026 than a year before. The skill set is shifting toward system design, code review, and knowing when not to trust AI output [1]. That is a craft worth building.
Sources
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Latest AI news for Software Developers
These articles highlight the evolving landscape for software developers in the age of AI. With AI tools reshaping coding and workflows, developers must adapt by learning new skills and embracing AI-driven methods to stay relevant. For instance, the prediction that AI coding costs will surpass developer salaries by 2028 emphasizes the need for developers to enhance their expertise beyond traditional coding. Additionally, while AI can increase productivity, it may lead to longer hours, stressing the importance of work-life balance. Embracing these changes can foster resilience in their careers.
AI's AI Reckoning Hits Software Engineers
www.startuphub.ai • 7/17/2026
The impact of artificial intelligence on the software engineering profession is no longer a future prediction; it's a present reality.
The future of jobs in the software industry: Navigating the rise of AI
uwaterloo.ca • 7/3/2026
AI is reshaping software jobs, from coding to system design and strategy. Learn how developers can adapt with new skills, roles, and AI‑driven workflows.
Gartner Predicts AI Coding Costs Will Surpass Average Developer’s Salary by 2028 as Token Consumption Surges
www.gartner.com • 6/24/2026
By 2028, AI coding costs will overtake the average developer's salary due to rising large language model (LLM) token consumption and the...
AI is hitting employment among young software developers hard
finance.yahoo.com • 6/11/2026
Employment in AI-vulnerable occupations, such as software development, has declined markedly faster among workers in their early 20s than...
Why developers using AI are working longer hours
www.scientificamerican.com • 3/3/2026
Studies find AI helps developers release more software—while logging longer hours and fixing problems after the code goes live.
More Career Info
Career: Software Developers
They create and improve computer programs and apps by writing code, solving problems, and making sure everything works smoothly.
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Similar Careers
Employment & Wage Data
Median Wage
$135,980
Jobs (2025)
1,717,800
Growth (2025-35)
+10.2%
Annual Openings
95,300
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Supervise and assign work to programmers, designers, technologists, technicians, or other engineering or scientific personnel.
2
Supervise the work of programmers, technologists and technicians and other engineering and scientific personnel.
3
Confer with systems analysts, engineers, programmers and others to design systems and to obtain information on project limitations and capabilities, performance requirements and interfaces.
4
Consult with customers or other departments on project status, proposals, or technical issues, such as software system design or maintenance.
5
Analyze information to determine, recommend, and plan installation of a new system or modification of an existing system.
6
Analyze user needs and software requirements to determine feasibility of design within time and cost constraints.
7
Determine system performance standards.
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.
