Although Canada is a leader in becoming the first nation to develop an artificial intelligence (AI) strategy, it is falling behind other countries in extended reality (XR) competitiveness. In this paper, the authors look at why Canada is lagging in this area and what can be done to bring the country up to speed with its peers. The authors argue that more attention and funding should be directed toward the development of XR technology in Canada because XR is already a major contributor to the Canadian and global economy; XR and AI will shape future iterations of the internet; a variant of XR (digital twins, which serve as models of people or objects) can serve as tools to develop mitigating strategies for various types of complex problems; and other nations, such as China and South Korea, are investing heavily in XR technology to gain a competitive edge.
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A Congressional Trade Office could resolve all this tariff confusion
Susan Ariel Aaronson Congress shares responsibility with the president for trade policy, yet Congress lacks the infrastructure and expertise to set objectives and monitor the administration’s actions. Moreover, because President Trump sees tariffs as his Swiss Army...
Do Chatbot Developers Act Responsibly toward their Users?
Susan Ariel Aaronson and Michael Moreno Please note this paper is forthcoming, to be published by the Balsillie School in February 2026. This study evaluates whether leading AI developers—OpenAI, Google, xAI, and DeepSeek—act responsibly toward users when building...
AI and Trade: The WTO’s Thoughtful but Incomplete Assessment
When the World Trade Organization (WTO) decided in 2024 to produce a report on the trade implications of artificial intelligence (AI), it set out to answer two key questions: How can the WTO help ensure that the benefits of AI are widespread? And, how can the...