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		<title>AI Can Boost Tourism Spending, But It Cannot Flatten the Seasons, Simulation Finds</title>
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		<pubDate>Sat, 10 Oct 2026 13:45:57 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[agent-based modelling]]></category>
		<category><![CDATA[algorithmic bias]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[bounded rationality]]></category>
		<category><![CDATA[destination management]]></category>
		<category><![CDATA[digital choice architecture]]></category>
		<category><![CDATA[platform ecosystems]]></category>
		<category><![CDATA[predictive nudging]]></category>
		<category><![CDATA[recommender systems]]></category>
		<category><![CDATA[simulation]]></category>
		<category><![CDATA[smart tourism]]></category>
		<category><![CDATA[tourism seasonality]]></category>
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					<description><![CDATA[An agent-based simulation of a tourism platform ecosystem shows that AI interventions significantly raise visitor spending and numbers but fail to narrow the gap between high and low seasons, revealing both the power and the structural limits of algorithmic choice architecture.]]></description>
		
		
		
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