Will AI replace database architects?

Some tasks are already handled by AI or machines; the rest still needs a person. About 3h 48m of an 8-hour shift goes to tasks that AI or robots largely take over. The breakdown: 1h 12m done by people with AI help, 3h 48m that AI mostly does alone. The other 3h (38%) stays with people. Separately, BLS expects about 9.4% more of these jobs by 2035 (all jobs: +3.5%).

AI shows up regularly in 13 of 25 tasks, about 5h of a typical shift. The biggest ones:

• Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements. (48m a shift, AI mostly does it alone)
• Develop and document database architectures. (42m a shift, AI mostly does it alone)
• Develop data models for applications, metadata tables, views or related database structures. (30m a shift, AI mostly does it alone)
• Design database applications, such as interfaces, data transfer mechanisms, global temporary tables, data partitions, and function-based indexes to enable efficient access of the generic database structure. (24m a shift, AI mostly does it alone)
• Test programs or databases, correct errors, and make necessary modifications. (24m a shift, AI mostly does it alone)

3h of a typical shift, or 38%, goes to tasks with no AI or robot evidence yet. No AI usage or robot deployment has shown up for these so far. The biggest:

• Design databases to support business applications, ensuring system scalability, security, performance, and reliability. (36m a shift)
• Work as part of a project team to coordinate database development and determine project scope and limitations. (24m a shift)
• Develop methods for integrating different products so they work properly together, such as customizing commercial databases to fit specific needs. (18m a shift)
• Write and code logical and physical database descriptions, and specify identifiers of database to management system or direct others in coding descriptions. (18m a shift)
• Develop data model describing data elements and their use, following procedures and using pen, template or computer software. (12m a shift)

For the 7 tasks in this job where AI shows up and timing data exists, a typical request takes about 6h 52m for a person alone and about 1h 5m with AI. These are Claude's own estimates from real conversations in April and May 2026 (Anthropic Economic Index). They describe single requests, not whole workdays, and time saved on a task doesn't mean jobs are cut. The biggest gaps:

• Document and communicate database schemas, using accepted notations (about 13h 17m alone, 1h 10m with AI)
• Develop data models for applications, metadata tables, views or related database structures (about 12h 50m alone, 1h 11m with AI)
• Develop and document database architectures (about 11h 13m alone, 1h 5m with AI)

On Indeed, job postings in the Data & Analytics sector are at 64% of their February 2020 level (all U.S. postings: 104%), up 8.7% from a year earlier, as of Oct 9, 2026. BLS separately expects about 3,900 openings a year in this job through 2035. Across all U.S. postings, 7.3% now mention AI skills. Sector postings cover more than this one job and move for many reasons besides AI.

The median pay is about $139,500 a year ($67.07 an hour), 174% above the median for all U.S. jobs ($50,980). Most people in this job earn between $86,240 and $204,000 a year; that range covers the middle 80%. Pay figures are from BLS, May 2025, and vary a lot by state and employer. Pick a state to compare:

BLS projects growth of 9.4% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 76,000 jobs in 2035. It expects about 3,900 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 67,000 people in the U.S., roughly 0.04% of all workers (BLS, May 2025). That makes it the 337th largest of the 796 jobs on this site. BLS expects about 76,000 in 2035.

The most common requirement is a bachelor's degree: about 76% of people in the job said so in the official O*NET survey. O*NET rates the job at level 4 of 5 for preparation, which usually means: bachelor's degree. Requirements vary by state and employer, especially for licensed work.

These come from the job's official skill ratings and from the tasks that AI and robots touch least today. Building them keeps you strong in the parts of the work that still need a person:

• Skills that matter more here than in most jobs: Programming, Technology Design, Systems Analysis, Operations Analysis
• Get strong at the parts of the job that stay with people (listed above), which take 3h of a typical shift
• Tools employers list: Tableau, Structured query language SQL, Snowflake, R, Python
• Learn to use AI well on the tasks where it already shows up in this job (listed above)

These use similar skills, with less of a typical shift touched by AI or robots. Matches come from 109 official ratings of skills, knowledge and work activities, and each needs the same or less preparation unless the official list relates the jobs directly:

• Software Quality Assurance Analysts and Testers (3h 26m touched, $104k median pay)
• Software Developers (3h 20m touched, $136k median pay)
• Video Game Designers (40m touched, $104k median pay)
• Database Administrators (3h 35m touched, $105k median pay)
• Computer Systems Analysts (3h 6m touched, $106k median pay)

Each task carries its own evidence label. For this job: 13 observed in real AI use, 12 with no AI or robot evidence found. The minutes per task are estimates, not measured hours, and "no evidence" doesn't prove a task is safe.