Mathematicians

Most exposed tasks

Highest structured exposure values in this role’s task mix — the work AI systems can already do most of.

• Maintain knowledge in the field by reading professional journals, talking with other mathematicians, and attending professional conferences.61
• Design, analyze, and decipher encryption systems designed to transmit military, political, financial, or law-enforcement-related information in code.60

Augmentable tasks

Work where AI assists rather than replaces — the productivity frontier of this role.

• Address the relationships of quantities, magnitudes, and forms through the use of numbers and symbols.55
• Develop mathematical or statistical models of phenomena to be used for analysis or for computational simulation.55
• Perform computations and apply methods of numerical analysis to data.55

Most durable tasks

Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.

The current data release does not distinguish durable tasks for this role.

Task exposure values and classifications come from the versioned data release — they are structured data, not model output. Bars show exposure contribution relative to this role’s task mix.

What this means

A score of 51 puts Mathematicians in the third quartile of analyzed occupations. In practice, exposure this high is about the mix: 2 of 11 analyzed tasks lean automatable, 9 augmentable, and 0 durable. The useful question isn’t “will AI take this job” — it’s which tasks go first, which get faster, and where to reposition time. That’s what the personalized report maps against your actual week.

One next move: audit how much of your week sits in the exposed tasks above — then shift time toward the durable set or investigate the adjacent roles below.

Lower-exposure adjacent roles

No adjacent role in the current data release is at least 10 points lower with ≥50% skill overlap — we don’t label anything “safer” unless the data supports it.

Labor-market context

• $126,710median wage
• 2,030employed
• 100annual openings
• +0.0%projected growth

Context only — labor statistics are not inputs to the exposure score. See methodology.

Related roles

Adjacent by skills or family — no exposure claim implied.

• Physicists 44
• Computer and Information Research Scientists 62
• Bioinformatics Scientists 54
• Biostatisticians 52
• Data Scientist 41
• Statistician 45

FAQ — Mathematicians

What does a score of 51 mean for a Mathematicians?

It means that, weighted across the 11 tasks we analyzed for this role, the task mix sits at 51 on a 0–100 exposure scale — in the third quartile of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.

Which tasks in this role are most exposed to AI?

The highest-exposure tasks are: Maintain knowledge in the field by reading professional journals, talking with other mathematicians, and attending professional conferences; Design, analyze, and decipher encryption systems designed to transmit military, political, financial, or law-enforcement-related information in code. Exposure is scored per task from structured data, not generated by a language model.

Which parts of this job are most durable?

The current data release does not distinguish durable tasks for this role.

Is this score personalized to me?

No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.