Somewhat Resilient

Last Update: 10/7/2026

AI Resilience Score for Data Warehousing Spec.:

47.9%

Median Score

Meaningful human contribution

Low

Long-term employer demand

Med

Sustained economic opportunity

High

Our confidence in this score:
Medium-high

Methodology and Scoring Rationale

To score how resilient data warehousing specialist work is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from five AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, and OpenAI Signals. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For data warehousing specialists, six of eight sources had data, with Microsoft and Adaptive Capacity missing. The exposure sources leaned toward Low resilience, meaning AI can handle much of this work, though Will Robots Take My Job landed at Medium. That broad agreement kept confidence at medium-high. Strong pay signals lifted the score, but low human contribution held it to "Somewhat Resilient."

AI Resilience Report forData Warehousing Specialists

$139,500 median salary•3,900 annual openings•SOC Code: 15-1243.01

Data Warehousing Specialists are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.

Data Warehousing Specialists land in "Somewhat Resilient" because AI is genuinely changing how a lot of the day-to-day work gets done, especially the more routine tasks like writing ETL scripts, mapping data fields, and generating documentation. Tools that handle these tasks automatically are already being sold and used by companies right now, which means the job is shifting rather than staying the same.

Learn more about how you can thrive in this position

This role is somewhat resilient

Data Warehousing Specialists land in "Somewhat Resilient" because AI is genuinely changing how a lot of the day-to-day work gets done, especially the more routine tasks like writing ETL scripts, mapping data fields, and generating documentation. Tools that handle these tasks automatically are already being sold and used by companies right now, which means the job is shifting rather than staying the same.

Read full analysis

Analysis of current AI resilience

Data Warehousing Spec.

Updated quarterly

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Latest AI news for Data Warehousing Spec.

These articles provide valuable insights for future Data Warehousing Specialists. The article on energy use at data centers highlights the growing demand for efficient data management as energy needs rise, suggesting a need for innovative solutions in data warehousing. Additionally, the piece on AI in warehouse management showcases how AI can optimize operations, offering career opportunities for specialists to leverage technology for improved efficiency. Understanding the potential risks of AI, as noted in the article about job displacement, can help students focus on developing AI resilience and adapting their skills for the future.

More Career Info

Career: Data Warehousing Specialists

They organize and store large amounts of data so businesses can easily find and use the information they need to make smart decisions.

Employment & Wage Data

Median Wage

$139,500

Jobs (2025)

69,500

Growth (2025-35)

+9.4%

Annual Openings

3,900

Education

Bachelor's degree

Experience

Less than 5 years

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

65% ResilienceCore Task

Select methods, techniques, or criteria for data warehousing evaluative procedures.

2

64% ResilienceCore Task

Design, implement, or operate comprehensive data warehouse systems to balance optimization of data access with batch loading and resource utilization factors, according to customer requirements.

3

62% ResilienceCore Task

Provide or coordinate troubleshooting support for data warehouses.

4

60% ResilienceCore Task

Develop or maintain standards, such as organization, structure, or nomenclature, for the design of data warehouse elements, such as data architectures, models, tools, and databases.

5

58% ResilienceCore Task

Design and implement warehouse database structures.

6

56% ResilienceCore Task

Implement business rules via stored procedures, middleware, or other technologies.

7

55% ResilienceCore Task

Test software systems or applications for software enhancements or new products.

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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