Alex Karp warns Europe and Canada are falling behind as Palantir's US revenue surges 93%

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Palantir CEO Alex Karp delivered a stark warning about a widening global divide in AI adoption during the company's earnings call. With US revenue growing 93% year-over-year and accounting for 77% of total revenue, Karp criticized Europe and Canada for their hesitance to adopt advanced AI products. He framed the split as a battle between 'AI haves and have-nots,' echoing concerns raised at Davos about the risks of falling behind in the technology race.

Palantir CEO Alex Karp Issues Stark Warning on Global AI Divide

Palantir CEO Alex Karp transformed the company's fourth-quarter earnings call into a geopolitical commentary, warning that Europe and Canada are falling dangerously behind in AI adoption as the United States and China surge ahead

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. Speaking after Palantir reported a remarkable 70% year-over-year revenue growth to $1.407 billion, Karp framed the emerging landscape as a stark division between "AI haves and have-nots"

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. The company achieved a Rule of 40 score of 127, with US revenue soars by 93% in the fourth quarter, now representing 77% of total revenue

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Source: Fortune

Source: Fortune

Hesitance to Adopt AI Creates Widening Technology Race Gap

Alex Karp didn't mince words when describing the global divide in AI adoption during the earnings call. "We've also seen, unfortunately, that there's a real hesitance to adopt these kind of products in the West outside of America, and the two places leading here are China and America," he stated

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. The Palantir CEO specifically called out Canada, Northern Europe, and France for their lack of adoption of advanced AI products, despite France renewing a three-year contract with French intelligence services in December 2025

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. Echoing rhetoric from the Trump administration at Davos, where Karp was a speaker, he suggested that regions failing to embrace AI platforms would face mounting political pressure and ideological confusion as they struggle to find answers

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AI Systems Adoption Accelerates Among Enterprise Customers

Inside companies, the split between adopters and non-adopters is equally pronounced. Chief Revenue Officer Ryan Taylor revealed that some customers are now signing initial deals worth $80 million to $96 million within months, with utility and energy clients seeing their annual contract values quadruple or quintupled in 2025

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. "Our customers aren't tentatively trying AI; they're committing to it at scale," Taylor said, describing these organizations as "AI-native enterprises" that rapidly expand to thousands of users and hundreds of use cases

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. Wall Street analysts at Bank of America Research sided with Karp's assessment, calling Palantir's results a "warning to slow adapters" and noting that "the clock is ticking" for companies wanting to become genuine AI companies

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Source: Benzinga

Source: Benzinga

Concerns About AI Bubble and Job Disruption Surface at Davos

The optimism around AI adoption faces significant counterpoints from experts who spoke at Davos last month. PwC's global chairman, Mohamed Kande, revealed that over half of companies rushing into AI saw no tangible benefits, with only 10% to 12% reporting actual gains while 56% reported "nothing out of it"

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. Many organizations jumped into AI systems without foundational infrastructure in place. Historian Yuval Noah Harari warned of an identity crisis as machines outperform humans and a disruption crisis with "AI immigrants" reshaping jobs, culture, and legal norms, urging countries to act quickly on policy and regulation

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. Bridgewater founder Ray Dalio characterized AI enthusiasm as the "early stages of a bubble," noting most companies had yet to translate adoption into profits

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Regulatory Realities Shape the Geopolitical Divide

While Palantir's Alex Karp frames slower adoption in Europe and Canada as a competitive failure, the reality involves more nuanced considerations around procurement systems, privacy regulations, and national security concerns. European and Canadian regulatory regimes place higher weight on civil liberties and vendor diversity, with many governments preferring sovereign or domestic solutions in critical infrastructure

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. Additionally, Palantir itself has concentrated capacity on the U.S. market and "doesn't have the bandwidth" for more complex international work

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. The company's success in a uniquely favorable US defense-centric market doesn't necessarily prove that other jurisdictions are failing simply because they aren't buying Palantir's platform at scale. Different countries remain entitled to pursue the AI race on their own timelines, with their own safeguards and mixes of vendors, even as the West faces mounting pressure to keep pace with China in advanced AI capabilities.

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