π‘ Database Architects have a composite risk score of 40/100 (Frey-Osborne probability: 40%, GenAI exposure: 72/100). With 64,770 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 64,770 workers and a median wage of $136K,database architects represent a significant portion of the US workforce. Their GenAI exposure index is 72%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
40/100
Employment
64,770
Median Wage
$136K
GenAI Exposure
72%
β οΈ Top Risk Factors
Cloud automation reducing infrastructure management roles
Low-code / no-code platforms reducing custom development
Large language model automation of analysis tasks
π‘οΈ Tasks AI Can't Easily Replace
Stakeholder negotiation and requirements elicitation
Mentoring junior developers and team leadership
Crisis debugging of complex production incidents
Cross-functional collaboration on ambiguous problems
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
82% skills overlap Β· $122K median wage
Computer and Information Research Scientists
80% skills overlap Β· $141K median wage
β Frequently Asked Questions
Will AI completely replace database architects?
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
What is the AI risk score for database architects?
Database Architects have a composite AI automation risk score of 40 out of 100, classified as "Moderate".
How many database architects are there in the US?
There are approximately 64,770 database architects employed in the United States.
What do database architects earn?
The median annual wage for database architects is $136K.
What skills should database architects develop?
Focus on tasks AI can't easily replicate: stakeholder negotiation and requirements elicitation, mentoring junior developers and team leadership, crisis debugging of complex production incidents, cross-functional collaboration on ambiguous problems. These human-centric skills will become more valuable as routine tasks are automated.