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1. Why does Palantir say Europe is missing the boat on AI?
Louis Mosley, who leads Palantir's business in the United Kingdom and Europe, said in an interview published on October 12 that Europe is repeating with artificial intelligence the mistake it made with the internet, when it failed to build a digital economy of its own. He called Palantir the purest public-market proxy for AI adoption and said the company has only around 1,000 customers.
Mosley, an executive vice president at Palantir (PLTR), framed the argument as a question of timing and nerve. In his telling, the United States moved decisively when the internet arrived and produced a large number of companies that became the backbone of the modern digital economy. Europe, by contrast, hesitated and was left with few comparable names. He said the same pattern is now visible in how corporations on each side of the Atlantic are approaching enterprise AI.
The remarks matter because Palantir sits at an unusual point in the market. It sells software that helps governments and large organizations put AI systems to work on their own data, so its commercial momentum is often read as a gauge of how quickly institutions are adopting the technology. When its European chief says the region is lagging, he is describing both a competitive concern and the conditions facing his own sales pipeline.
2. A twenty-year divergence between the US and Europe
Mosley grounded his warning in a comparison of economic performance. Roughly two decades ago, he said, the United States and Europe were broadly similar on several measures: gross domestic product per person, the depth of their capital markets and the size of their largest companies. Since then, he argued, the American economy has compounded its growth while Europe has advanced very little.
He tied that gap to technology. Earlier industrial and technological waves, he noted, did produce European champions. The internet wave produced almost none. The one exception he pointed to was ASML, the Dutch maker of the machines used to manufacture advanced semiconductors, which he described as by far the largest European company in the field and as evidence that the value in the modern economy sits in technology.
The comparison is a familiar one in policy debates about European competitiveness, where analysts often point to the scarcity of large, fast-growing technology firms on the continent. Mosley's contribution is to extend that argument forward. If a similar pattern holds for AI, he suggested, the divergence between the two economies could widen further rather than narrow, because AI is likely to matter even more than the earlier waves did.
3. Caution among European corporations
According to Mosley, the immediate obstacle is a habit of mind inside European boardrooms. He described the prevailing attitude among corporate buyers as one of waiting: this is new, so it could be risky, and it is safer to see how others fare first. He contrasted that with American customers, who he said are moving faster and are already producing visible commercial results from enterprise AI.
Palantir's own figures, as he described them, illustrate the contrast. He pointed to growth in the company's commercial revenue in the United States while European companies deliberate. He did not offer a precise breakdown of how adoption differs by country, and the argument rests mainly on his reading of customer behavior rather than on a published survey.
The reluctance he described is not irrational on its face. New technologies carry real uncertainty, and European businesses operate under strict data-protection and governance expectations. Mosley's counter is that waiting carries its own cost. A company that delays may find that competitors have already folded AI into their operations, and an economy in which many firms delay may find the same thing at a national scale.
4. What Palantir actually sells
Mosley described the company's product as an ontology and governance layer. In practical terms, that is software that maps an organization's data, processes and rules into a structured model, and then controls how large language models and AI agents can act on that model. The aim is to let governments and companies deploy such systems in areas including healthcare, industry and defense while keeping oversight over what the systems are permitted to do.
He stressed that the company is model-agnostic. Customers can run models from OpenAI, Anthropic, Google's Gemini or xAI's Grok, use open-weight models, or even deploy Chinese systems, and they can fine-tune whichever they choose on their own data. The pitch is that the durable value lies in the layer that connects models to real operations, not in any single model.
That positioning is the basis for his description of Palantir as a proxy for AI adoption. If an economy is adopting AI at pace, he argued, demand for the infrastructure that makes the models usable and governable should rise with it. Whether investors accept that framing is a separate matter, but it explains why he treats the company's performance as a reflection of national attitudes to the technology.
5. The political backlash and Mosley's response
Palantir faces sustained opposition in the United Kingdom and across Europe, and Mosley addressed it directly. The criticism centers on the company's defense and law enforcement work. That includes surveillance software supplied to US Immigration and Customs Enforcement under President Donald Trump's administration and targeting systems provided to the Israel Defense Forces. Campaigners also object on ethical grounds to the company's role in public services, notably a platform used by the UK's National Health Service.
Mosley's explanation was that the controversy has little to do with the health service itself. He said the issues that really get opponents fired up are Gaza and Trump, and he pointed to Palantir's contracts with the Trump administration, the Israeli military and the NHS as the three threads critics tend to pull together.
He went further, calling the dispute a distraction from domestic priorities. To make the point, he posed a rhetorical question: would a politician tell a constituent to wait longer for a hip operation because of a supplier's unrelated contracts overseas? The argument is that public services should be judged on what they deliver to patients and citizens, not on the wider portfolio of the companies that supply them.
6. Echoes of the bitcoin mining debate
Hostility toward energy-intensive technology is not new, and the interview drew a parallel with the cryptocurrency sector. About a decade ago, bitcoin miners were attacked over their electricity consumption. Many of those companies have since pivoted toward high-performance computing for AI, and they now face similar criticism over how much power their facilities draw.
The comparison shows how the same public concerns can migrate from one technology to the next. Questions about power use, local impact and who benefits recur whether the machines are validating bitcoin transactions or training AI models. For policymakers, the lesson is that the debate rarely stays confined to one industry, and the arguments made against one wave of computing are often reused against the next.
Mosley did not claim that such concerns are baseless. His point was narrower: that political reactions to a new technology tend to follow a predictable pattern, and that resisting it outright carries a price in lost investment and lost capability.
7. Jobs, productivity and the risk he sees
Mosley acknowledged that AI will disrupt employment. He argued, however, that its more immediate effect will be to relieve workers of administrative burden. Nurses and police officers, in his example, could spend less time on paperwork and more on the work they trained to do, raising productivity across public services.
He also insisted that the market is still young. With around 1,000 customers, Palantir reaches only a small share of the complex organizations in allied countries that could use its software, so he regards the current phase as early rather than mature.
The biggest risk to AI, in his view, is political rather than technical: a failure to explain convincingly why the technology is good for people. He described the recurring reaction as making all the same mistakes again, and added that he wants to believe good wins out over bad in the end. For European leaders and executives, the interview is a reminder that adoption decisions made in the next few years may shape the region's economic position for a long time to come.
8. What to watch as European adoption unfolds
Mosley did not announce new contracts or set a date for any decision, so the interview is best read as a statement of position rather than a signal of imminent deals. The questions it raises are nonetheless concrete, and they will be answered gradually by corporate and government behavior.
The first is whether European corporations move from caution to deployment. Mosley described a wait-and-see mindset, and the clearest evidence of any change would be large organizations committing AI systems to core operations instead of limited trials. The second is whether the political argument shifts. Opposition to Palantir has been tied to the Gaza conflict and to the Trump administration, and if those issues stay prominent, public bodies that contract with the firm are likely to keep facing scrutiny.
The third is whether the gap Mosley described in growth, capital markets and company size narrows at all. That is a long-run measure and cannot be settled by any single quarter, but it frames why he treats the present moment as consequential. Readers following the sector will also be watching how Palantir's roughly 1,000 customers grow in number, since Mosley himself called that figure small against the potential market in allied countries.
For now, the exchange stands as a clear articulation of the case that hesitation is itself a decision with economic consequences, and of the counterargument that scrutiny of powerful technology suppliers is a legitimate part of public debate.