CGHA’s earlier gambling research highlighted how concentrated episodes of loss chasing can drive financial harm. The next question is whether advice available at the moment of decision can help people interrupt that pattern.
A small follow-up involving seven people who used AI offers an encouraging preliminary signal. All seven reportedly placed fewer bets and reduced their average stakes after using AI.
| Participant | Reduction in number of bets | Reduction in average stake |
|---|---|---|
| 1 | 7% | 5% |
| 2 | 19% | 9% |
| 3 | 22% | 23% |
| 4 | 13% | 66% |
| 5 | 18% | 33% |
| 6 | 29% | 12% |
| 7 | 45% | 13% |
| Average across participants | 21.9% | 23.0% |
Source: participant-level changes reported to CGHA. Comparisons cover approximately equal periods and, according to the research author, all gambling accounts used by each participant. The averages give each participant equal weight.
Slower betting and lower total losses were also reported. Those outcomes have not yet been quantified sufficiently to report a reliable group reduction in monetary losses.
The combination matters. Smaller stakes can be offset by more frequent betting. Longer pauses can be offset by longer sessions. Here, both the number of bets and the average amount wagered declined, suggesting reduced financial exposure.
That is a useful starting point. It does not establish that AI caused the changes. Seven people constitute a small observational group, and people who seek advice may already be motivated to exercise greater restraint. Sporting schedules, available funds and chance can also affect comparisons.
The next decision matters
Loss chasing begins when recovering earlier losses becomes a reason to keep wagering. Advice may help by making that motive explicit.
An AI assistant can ask whether another wager fits a previously chosen budget, whether the proposed stake has increased after a loss, and whether stopping would better serve the user’s stated aims. Its potential value lies in supporting reflection and restraint. Useful assistance need not improve someone’s ability to pick winners.
The follow-up does not yet establish which kinds of advice helped most. Nor do fewer bets and smaller stakes directly measure a reduction in chasing. That requires examining decisions specifically after losses became known.
Follow the person across platforms
A restriction at one operator may simply move activity elsewhere. Someone with several funded accounts can continue betting without making a new deposit.
This makes all-account outcomes essential. Lower spending at one sportsbook is an incomplete measure if activity rises at another sportsbook or an event-contract platform. The relevant question is whether the person’s total losses decline—and remain lower over time.
CGHA’s next step is to strengthen the seven-person comparisons with matched observation periods and reconciled account records. That will allow closer examination of monetary losses, pauses, stopping decisions and activity across venues.
The preliminary findings support further investigation of AI-assisted restraint. The standard for success should remain concrete: fewer harmful decisions and sustained reductions in losses across the person’s accounts.
