AI exposure: Gambling and Sports Book Writers and Runners
Post information enabling patrons to wager on various races and sporting events. Assist in the operation of games such as keno and bingo. May operate random number-generating equipment and announce the numbers for patrons. Receive, verify, and record patrons' wagers. Scan and process winning tickets presented by patrons and pay out winnings for those wagers.
Reading this score
computedAt 29.6% of weighted task load, Gambling and Sports Book Writers and Runners sits at the 53th percentile, below the point where a job's centre of gravity has moved. 51.9% of what this role does is untouched, meaning current systems cannot produce that work at all, whatever the commercial incentive.
What holds the line here is embodiment. Across this occupation's 17 tasks it averages 2.09 out of 3, the highest of the five friction dimensions. In plain terms, the work has to happen in physical space. A language model cannot move matter. Until the robotics to do this work is both good enough and cheap enough to deploy widely, capability in software does not reach it.
The most exposed thing this job does is Answer questions about game rules or casino policies, at 80.0%. The least is Exchange paper currency for playing chips or coins, at 0.0%. A gap of 80.0% between two parts of the same job is the reason this index publishes at task level. An occupation-wide number would have hidden both.
Within personal care and service occupations, this one is more exposed than most. The median across the 31 roles in the group is 23.4%, and only 9 of them score higher than this. Occupational families are not uniform, and the spread inside them is often wider than the gap between them.
What would move this score. Of 17 tasks, 5 are currently banded exposed, 1 assisted and 11 untouched. For that distribution to shift materially would take robotics cheap and reliable enough to deploy at scale, not a better language model. The score is re-computed every quarter against a fresh capability reference, and the change is published rather than quietly applied.
Where the score comes from
judgedEvery task is scored through the standardised work activities it maps to. These are this occupation’s averages on the six rubric dimensions. Capability is what AI can do; the other five are what stands in the way.
| Dimension | Mean | Scale |
|---|---|---|
| Capability | 1.59 | 0-4 |
| Embodiment | 2.09 | 0-3 |
| Presence | 1.97 | 0-3 |
| Accountability | 1.38 | 0-3 |
| Context | 1.29 | 0-3 |
| Verification cost | 1.09 | 0-3 |
Task by task
17 tasks, O*NET 31.0| Task | Exposed | Assisted | Untouched | Importance | Band |
|---|---|---|---|---|---|
| Answer questions about game rules or casino policies. | 80.0% | 20.0% | 0.0% | 4.57 | exposed |
| Prepare collection reports for submission to supervisors. | 73.3% | 26.7% | 0.0% | 3.94 | exposed |
| Record the number of tickets cashed and the amount paid out after each race or event. | 60.0% | 40.0% | 0.0% | 4.52 | exposed |
| Compute and verify amounts won or lost, paying out winnings or referring patrons to workers, such as gaming cashiers, so that winnings can be collected. | 30.0% | 20.0% | 50.0% | 4.32 | exposed |
| Take the house percentage from each pot. | 26.7% | 23.3% | 50.0% | – | exposed |
| Collect bets in the form of cash or chips, verifying and recording amounts. | 23.3% | 26.7% | 50.0% | 4.34 | assisted |
| Inspect cards or equipment to be used in games to ensure they are in proper condition. | 13.3% | 11.7% | 75.0% | – | untouched |
| Collect cards or tickets from players. | 10.0% | 15.0% | 75.0% | 4.41 | untouched |
| Conduct gambling tables or games, such as dice, roulette, cards, or keno, and ensure that game rules are followed. | 10.0% | 15.0% | 75.0% | 4.91 | untouched |
| Start gaming equipment that randomly selects numbered balls and announce winning numbers and colors. | 10.0% | 15.0% | 75.0% | 4.63 | untouched |
| Check to ensure that all players have placed their bets before play begins. | 10.0% | 15.0% | 75.0% | 4.59 | untouched |
| Supervise staff and games and mediate disputes. | 10.0% | 15.0% | 75.0% | 4.36 | untouched |
| Open or close cash floats or game tables. | 10.0% | 15.0% | 75.0% | – | untouched |
| Operate games in which players bet that a ball will come to rest in a particular slot on a rotating wheel, performing actions such as spinning the wheel and releasing the ball. | 10.0% | 15.0% | 75.0% | – | untouched |
| Compare the house hand with players' hands to determine the winner. | 10.0% | 15.0% | 75.0% | – | untouched |
| Pay off or move bets as established by game rules and procedures. | 0.0% | 0.0% | 100.0% | 4.96 | untouched |
| Exchange paper currency for playing chips or coins. | 0.0% | 0.0% | 100.0% | – | untouched |
Task text and importance ratings sourced from O*NET 31.0. Shares computed. The occupation score is the importance-weighted mean. 6 task(s) lacked a usable O*NET weight and are shown but excluded from the weighting.
Occupations either side of this one
The four closest scores in the same occupational family, then the four closest anywhere in the index.
Read this carefully. Exposure is not displacement. A high score means current AI systems can produce this work, not that anyone will stop paying a person to do it. Adoption depends on economics, regulation and inertia that this index deliberately does not model. How the score is built.
What this means in practice
Most of this work is not reachable by current systems, so the immediate pressure is on the administrative edges of the role rather than its core: the scheduling, the reporting, the written records. That is where time is recovered.