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A prominent Canadian opinion writer’s recent advocacy for AI data centres has come under scrutiny due to his ties with a U.S. Tech lobbying group, raising questions about potential conflicts of interest.
Jay Goldberg, an opinion writer for the Toronto Sun, has been vocal in his support for the development of AI data centres across Canada. In a late June column, Goldberg argued that municipalities should not hinder the construction of these facilities, citing their economic benefits and minimal environmental impact. However, recent disclosures reveal that Goldberg works for the Consumer Choice Center (CCC), an organization with close ties to the tech industry and known for its anti-regulation stance.
Goldberg’s advocacy includes a press release issued by the CCC urging Hamilton City Council to reverse its proposed moratorium on AI data centres. He also penned a column in the Calgary Sun, praising Meta’s new data centre in Sturgeon County as a significant win for Alberta and Canada. In this piece, Goldberg highlighted the facility's efficient cooling system, which he claimed would use less water than a typical Alberta golf course.
While Goldberg’s affiliation with the CCC is noted in his Toronto Sun bio, the articles do not mention that the CCC has received funding from NetChoice, a lobbying group representing companies building AI data centres. This omission raises concerns about potential conflicts of interest and the transparency of his advocacy efforts.
The tech industry’s push for favorable regulations is not new. Organizations like NetChoice have long been involved in advocating for policies that benefit their member companies, which include major players such as Meta, Google, and Amazon. These companies are heavily invested in AI and data centre infrastructure, which they see as crucial for their future growth.
The CCC, where Goldberg serves as the North American affairs manager, has a history of promoting deregulatory policies. Its funding from NetChoice underscores its alignment with the tech industry’s interests. This relationship is particularly relevant given the growing debate over the environmental impact and energy consumption of AI data centres.

Critics argue that the rapid expansion of these facilities could exacerbate climate change and strain local resources, especially in regions already facing water scarcity. For instance, a recent report by the Canadian Centre for Policy Alternatives highlighted the significant energy and water requirements of large-scale data centres, suggesting that their environmental footprint is far from negligible.
The intersection of tech lobbying and media advocacy has significant implications for investors and policymakers alike. The push for favorable regulations can influence market dynamics and investment decisions. For instance, companies that successfully navigate regulatory hurdles may see increased stock performance and attract more venture capital.
However, the potential conflicts of interest highlighted by Goldberg’s case underscore the need for greater transparency in tech advocacy. Investors should be wary of overly optimistic projections and seek a balanced view of the risks and benefits associated with AI data centre investments.
In the Canadian market, where provincial and municipal governments play a crucial role in regulating land use and environmental policies, the influence of tech lobbyists can have far-reaching consequences. Policymakers must carefully evaluate the long-term impacts of these projects, considering both economic opportunities and environmental sustainability.
The debate over AI data centres is likely to continue as technology companies seek to expand their infrastructure and governments weigh the benefits against potential risks. For investors, staying informed about the regulatory landscape and the interests driving policy decisions will be key to making sound investment choices.
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Canadian Columnist Boosting Data Centres Has Ties to AI Industry
↗ https://www.desmog.com/2026/08/17/canadian-columnist-boosting-data-centres-has-ties-to-ai-industry
About the author
Marcus began tracking AI's market implications in 2016, noticing AI-related patent filings accelerating ahead of earnings upgrades before most of the sell-side had caught on. A former fixed-income quantitative analyst, he spent two decades building models that priced risk across emerging markets before pivoting to cover the economic impact of AI full-time. His writing translates opaque technical developments into clear risk/reward terms — and he's rarely diplomatic about the gap between AI valuations and underlying fundamentals. He believes most market participants still underestimate AI's long-run deflationary effect on knowledge work.
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24 August 2026
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