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This talk shows how you can apply things like Game Theory and the concept of Infinite Games to SEO decisions to help with realistic risk analysis, cost/benefit analysis and planning. It looks at the shifting landscape of SEO, now that AI, Bard & SGE have entered the mix, and shows the importance of thinking in an infinite game paradigm, rather than a finite game model, despite the temptation to make high-stakes bets on your SEO strategy. This webinar also talks about how you can discuss and communicate the potential risks and rewards of a cutting-edge, AI-oriented SEO strategy internally at an enterprise, to ensure that all stakeholders have a clear understanding of the risks associated with any strategy. Next, we flip the script and talk about how you can use Game Theory to understand and anticipate Google's next moves. This part of the talk focuses on where Google is currently taking risks, and where they probably will not be willing to take risks, and how that could impact the SEO industry as a whole. In general, the talk focuses on how long Google has focused on building language learning models for conversational search, and the likelihood that the new AI utilities will actually benefit voice and conversational search capabilities in the long run. It shows how concepts like MUM, EEAT and voice search are related, and how Google models search journies to make it easier to provide multiple choice questions in a voice and conversational search context.