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The Authority said licensed operators accepted P150 million in wagers in March 2025, paid P135 million in winnings and generated P15 million in gross gambling revenue. It also estimated that only about 40% of Botswana’s estimated 550,000 active bettors were using licensed local operators, leaving a substantial share of demand with unregulated platforms.

By December 2025, Kemorwale said gambling revenue had exceeded P700m, and the Authority expected the industry to surpass P1 billion by the end of the 2026/27 financial year in March 2027.

Kemorwale said Botswana needed to modernise oversight as the sector developed, including through a central electronic monitoring system and stronger enforcement capability. “Truth be told, this industry is evolving as the sun rises. You snooze, you lose,” Kemorwale said. He added that the Authority still relies on outside specialists for some technical regulatory work because domestic expertise is limited.

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The DOCV, another trade body representing licensed online casino operators in Germany, also expressed support for the prosecutorial efforts. However, it emphasised that the raid exposed regulatory gaps which had allowed organised crime to flourish.

Kevin O’Neal, a DOCV board member, argued the scale of the investigation calls the GGL’s broader black market estimates into question. He cited the regulator’s 2025 activity report, which put the 2024 share at 23% (€547 million in gross gaming revenue), against Nielsen data suggesting a share of around 56%.

The trade body has long been critical over the discrepancy between channelisation estimates made by the regulator, and other independent reviewers.

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The charter also made a series of other recommendations. It suggested that companies should designate a senior member of staff responsible for governance of the technology. It additionally recommended an AI oversight or ethics committee.

The framework also urged companies to implement rollback mechanisms and “kill-switch” controls for higher-impact systems.

For AI-powered customer support and chat, operators are encouraged to set clear parameters for when conversations should be moved to a human member of staff. These include repeated low-confidence responses, unresolved queries, indications of distress, or a customer simply asking to speak to a human.