π‘ Web Developers have a composite risk score of 40/100 (Frey-Osborne probability: 21%, GenAI exposure: 81/100). With 78,860 workers in the US, this occupation faces moderate but manageable AI pressure. Full occupation profile β
π― The Verdict
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
With 78,860 workers and a median wage of $91K,web developers represent a significant portion of the US workforce. Their GenAI exposure index is 81%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
40/100
Employment
78,860
Median Wage
$91K
GenAI Exposure
81%
β οΈ Top Risk Factors
AI-driven cybersecurity threat detection replacing analysts
AI-powered research and literature review tools
Large language model automation of analysis tasks
π‘οΈ Tasks AI Can't Easily Replace
Crisis debugging of complex production incidents
Mentoring junior developers and team leadership
Ethical AI oversight and bias auditing
Stakeholder negotiation and requirements elicitation
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Advertising, Marketing, Promotions, Public Relations, and Sales Managers
53% skills overlap Β· $145K median wage
Mathematicians
77% skills overlap Β· $122K median wage
Computer Occupations
73% skills overlap Β· $106K median wage
β Frequently Asked Questions
Will AI completely replace web developers?
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
What is the AI risk score for web developers?
Web Developers have a composite AI automation risk score of 40 out of 100, classified as "Moderate".
How many web developers are there in the US?
There are approximately 78,860 web developers employed in the United States.
What do web developers earn?
The median annual wage for web developers is $91K.
What skills should web developers develop?
Focus on tasks AI can't easily replicate: crisis debugging of complex production incidents, mentoring junior developers and team leadership, ethical ai oversight and bias auditing, stakeholder negotiation and requirements elicitation. These human-centric skills will become more valuable as routine tasks are automated.