JobAIRisk
Scan my jobFree scan

Gambling Dealers

Operate table games. Stand or sit behind table and operate games of chance by dispensing the appropriate number of cards or blocks to players, or operating other gambling equipment. Distribute winnings or collect players' money or chips. May compare the house's hand against players' hands.

Also known as: Card Dealer · Card Grader · Crap Shooter · Casino Dealer · Casino Worker · Big Six Dealer

AI Task Exposure Score

Moderate exposure

More exposed than 25% of 968 occupations · Rank #703 (1 = most exposed)

This score estimates how exposed the tasks in a role are to current and near-term AI capabilities. It does not predict whether a specific person will lose a job.

Your free role snapshot

Start with the work, not the headline

This occupation baseline already contains different kinds of work. These are the two ends of its current task range and one useful action you can take now.

Most exposed task

Prepare collection reports for submission to supervisors.

Augmentable 55/100 exposure

Most durable task

Seat patrons at gaming tables.

Durable 15/100 exposure

Useful next step

Make one change to the task mix

Pilot AI on one augmentable task, then document the judgment, relationships, and accountability you still own.

Want this mapped to your actual week? Know what to strengthen, what to delegate to AI with review, and what to do over the next 7, 30, and 90 days.

Build my 7/30/90-day action plan — $9

Most exposed tasks

No task is classified fully automatable in this release. The highest-exposure task relative to this role is shown in the free snapshot above; the assistive work is detailed next.

Augmentable tasks

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

  • Prepare collection reports for submission to supervisors.55
  • Compute amounts of players' wins or losses, or scan winning tickets presented by patrons to calculate the amount of money won.40

Most durable tasks

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

  • Greet customers and make them feel welcome.15
  • Stand behind a gaming table and deal the appropriate number of cards to each player.15
  • Conduct gambling games, such as dice, roulette, cards, or keno, following all applicable rules and regulations.15

Task exposure values and classifications are published, versioned estimates audited against the anchored rubric. This page reads them from the data release rather than generating them at request time. Bars show exposure contribution relative to this role’s task mix.

What this means

A score of 24 puts Gambling Dealers in the second quartile of analyzed occupations. In practice, exposure this level is about the mix: 0 of 20 analyzed tasks lean automatable, 2 augmentable, and 18 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.

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

  • $34,320median wage
  • 83,910employed
  • 14,100annual openings
  • -0.7%projected growth

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

Turn your actual week into a plan

Know which work to strengthen, what to delegate to AI with review, and what to do over the next 7, 30, and 90 days. Your $9 plan includes a confidence-rated personal score, task matrix, human moat, and only genuinely lower-exposure adjacent roles.

Build my 7/30/90-day action plan — $9

Related roles

Adjacent by skills or family — no exposure claim implied.

How this score was calculated

The score is the plain average of the AI-exposure values of this role’s 20 analyzed tasks (equal task weights in this release — no hidden factors):

  • Augmentable 2 tasks, averaging 48/100 exposure
  • Durable 18 tasks, averaging 21/100 exposure

score = (2×48 + 18×21) ÷ 20 ≈ 24

Every task’s exposure value was scored against a published anchored rubric that scores tasks as actually performed — physical, in-person, and accountability requirements included (data release 2026.07.12-r2). The band (Moderate) is a corpus quartile; the percentile is tie-aware across all 968 occupations.

FAQ — Gambling Dealers

Will AI replace Gambling Dealers?
This score cannot predict whether this occupation or any individual job will be replaced. It shows which tasks current and near-term AI can perform or accelerate, which tasks remain more durable, and where a worker can adapt. Employer decisions, demand, regulation, and how the role changes are outside the score.
What does a score of 24 mean for a Gambling Dealers?
It means that, weighted across the 20 tasks we analyzed for this role, the task mix sits at 24 on a 0–100 exposure scale — in the second 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?
This role has no strongly automatable task in the current data release.
Which parts of this job are most durable?
The most durable responsibilities are: Greet customers and make them feel welcome; Stand behind a gaming table and deal the appropriate number of cards to each player; Conduct gambling games, such as dice, roulette, cards, or keno, following all applicable rules and regulations. Durable tasks typically depend on judgment, relationships, physical presence, or accountability.
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.

Score version jr-v1 · data release 2026.07.12-r2 · updated 2026-07-13 · baseline mapping: 20 of 20 tasks carry source-level provenance · methodology