AI exposure: Gambling Surveillance Officers and Gambling Investigators
Observe gambling operation for irregular activities such as cheating or theft by either employees or patrons. Investigate potential threats to gambling assets such as money, chips, and gambling equipment. Act as oversight and security agent for management and customers.
Reading this score
computedAt 21.1% of weighted task load, Gambling Surveillance Officers and Gambling Investigators sits at the 38th percentile, below the point where a job's centre of gravity has moved. 54.8% 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 context. Across this occupation's 8 tasks it averages 2.10 out of 3, the highest of the five friction dimensions. In plain terms, the work depends on knowledge the model cannot hold. Much of this job runs on things that were never written down: what this particular organisation does, what happened last week, what the person across the table actually meant. That context is the barrier, and it erodes as systems are given more access.
The most exposed thing this job does is Develop and maintain log of surveillance observations, at 65.2%. The least is Act as oversight or security agents for management or customers, at 6.7%. A gap of 58.5% 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 protective service occupations, this one is more exposed than most. The median across the 26 roles in the group is 18.3%, and only 8 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 8 tasks, 1 are currently banded exposed, 2 assisted and 5 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 | 1.77 | 0-4 |
| Embodiment | 1.77 | 0-3 |
| Presence | 1.69 | 0-3 |
| Accountability | 1.42 | 0-3 |
| Context | 2.10 | 0-3 |
| Verification cost | 1.77 | 0-3 |
Task by task
8 tasks, O*NET 31.0| Task | Exposed | Assisted | Untouched | Importance | Band |
|---|---|---|---|---|---|
| Develop and maintain log of surveillance observations. | 65.2% | 26.5% | 8.3% | 4.71 | exposed |
| Report all violations and suspicious behaviors to supervisors, verbally or in writing. | 20.0% | 30.0% | 50.0% | 4.79 | assisted |
| Monitor establishment activities to ensure adherence to all state gaming regulations and company policies and procedures. | 16.7% | 33.3% | 50.0% | 4.80 | assisted |
| Observe casino or casino hotel operations for irregular activities, such as cheating or theft by employees or patrons, using audio and video equipment and one-way mirrors. | 15.0% | 22.5% | 62.5% | 4.79 | untouched |
| Review video surveillance footage. | 15.0% | 22.5% | 62.5% | 4.60 | untouched |
| Supervise or train surveillance observers. | 15.0% | 22.5% | 62.5% | 4.08 | untouched |
| Inspect and monitor audio or video surveillance equipment to ensure it is working appropriately. | 10.6% | 14.4% | 75.0% | 4.65 | untouched |
| Act as oversight or security agents for management or customers. | 6.7% | 18.3% | 75.0% | 4.44 | untouched |
Task text and importance ratings sourced from O*NET 31.0. Shares computed. The occupation score is the importance-weighted mean.
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.