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On Tuesday, the CCT held a public hearing to discuss the project. Government and betting sector representatives participated in the debate and presented divergent positions on the proposed measures.
The approved text includes a series of restrictions on advertising for online betting and gambling:
Advertising prohibited: Direct or indirect marketing communication regarding betting on radio and television, newspapers, magazines, outdoor media, streaming services, podcasts, social networks, video platforms, apps, websites, blogs, forums, search engines and other internet environments is prohibited.
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When Spain captain Rodri lifted the Fifa World Cup trophy at MetLife Stadium in New Jersey in July, a nation celebrated its team’s return to the summit of world football. Across five weeks and eight matches, Spain had proved itself the best team on the planet, overcoming its strongest rivals to claim the trophy for a second time.
As Spain celebrated the successful end of their campaign, Kambi was reflecting on a significant achievement of its own. For the sports betting technology provider, the tournament represented a major technological milestone: its first World Cup traded entirely by AI.
Across 104 matches and more than 100 million bets, AI handled every stage of the pricing lifecycle – from ingesting data and creating the offering to managing liabilities and settling bets. The platform recorded zero downtime, delivered an operator trading margin of 18% and, during the final alone, processed more than one million unique bet combinations.
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That study found that AI adoption across the gambling industry remained uneven. It highlighted customer support, data analytics, fraud detection, and responsible gaming as areas where the technology was already being heavily used.
However, it also found that formal governance of AI was struggling to keep pace with its growing usage. Only a minority of organizations surveyed reported having a formal AI strategy or roadmap. Many said one remained in development.
The MGA also found that only a small number of respondents had fully established AI risk assessment processes or incident-response plans.
