0
60/100 career outlook
Mixed picture. AI will change how you work, but the role itself is growing. Lean into the parts only you can do.
61% ai exposure+33.5% job growth
job growth
+33.5%
2024–2034
employed (2024)
245,900
people
annual openings
23,400
per year
ai exposure
46.1%
Anthropic index
how you compare
career outlook vs similar roles
1/2
the full picture
AI will handle the grunt work: managing your document libraries, processing raw data, maintaining dashboards, formatting datasets. That's about 40% of the role. The field is growing fast (33.5% over the next decade), so there's real demand. But you need to own what machines can't.
Your edge is in the thinking part. Reading research to spot emerging trends. Building and validating models that actually predict something meaningful. Writing code to solve new problems. Translating messy business questions into data-driven answers that stakeholders can act on. Those 37 tasks are yours. The technical depth, the judgment calls, the ability to catch when a model is wrong. AI accelerates your literature review and helps you spot patterns faster, but you're the one deciding what matters.
The role's shifting toward strategy and less toward maintenance. If you're spending half your time on administrative data tasks now, that work disappears. Double down on the modeling, the stakeholder conversations, and staying ahead of what's possible in your field. That's where the job security and growth actually lives.
task breakdown
this is all you
8
tasks where you're irreplaceable
- Read scientific articles, conference papers, or other sources of research to identify emerging analytic trends and technologies.
- Recommend data-driven solutions to key stakeholders.
- Test, validate, and reformulate models to ensure accurate prediction of outcomes of interest.
- Write new functions or applications in programming languages to conduct analyses.
- Manage timely flow of business intelligence information to users.
- Document specifications for business intelligence or information technology reports, dashboards, or other outputs.
- Conduct or coordinate tests to ensure that intelligence is consistent with defined needs.
- Identify or monitor current and potential customers, using business intelligence tools.
ai speeds this up
6
tasks AI can assist with
- Synthesize current business intelligence or trend data to support recommendations for action.
- Design forms for receiving, processing, or tracking data.
- Analyze competitive market strategies through analysis of related product, market, or share trends.
- Identify and analyze industry or geographic trends with business strategy implications.
- Identify relationships and trends or any factors that could affect the results of research.
- Read technical literature and participate in continuing education or professional associations to maintain awareness of current database technology and best practices.
ai handles this
8
tasks with high AI penetration
- Maintain library of model documents, templates, or other reusable knowledge assets.
- Process clinical data, including receipt, entry, verification, or filing of information.
- Maintain or update business intelligence tools, databases, dashboards, systems, or methods.
- Prepare appropriate formatting to data sets as requested.
- Prepare data analysis listings and activity, performance, or progress reports.
- Collect business intelligence data from available industry reports, public information, field reports, or purchased sources.
- Generate standard or custom reports summarizing business, financial, or economic data for review by executives, managers, clients, and other stakeholders.
- Create business intelligence tools or systems, including design of related databases, spreadsheets, or outputs.