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# Europe trails the US on AI because of how firms work, Sifted report says

**[The Next Web](https://daily.dev/sources/tnw)** · 4 min read · 0 upvotes · 0 comments

## Summary

A Sifted report backed by London Business School argues Europe's AI adoption lag behind the US is organisational rather than technological, citing skills, management, trust and cost as barriers. Data shows 43% of US workers used AI at work in early 2026 versus 32% in Europe, and only 20% of EU firms use AI at all, up from 13.5% the prior year. While 88% of organisations globally use AI somewhere, only 7% have fully scaled it, and just 12% of firms using AI see revenue gains despite 75% seeing productivity gains. Adoption is fastest in banking and law, with over 85% of ECB-supervised banks using AI, while factories lag due to operational constraints. The report suggests Europe should differentiate on resilience, confidentiality and privacy rather than compete on frontier model scale, where it holds less than 4% of advanced AI computing power versus over 75% in the US.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://thenextweb.com/news/europe-ai-adoption-gap-sifted-lbs-report>

## Questions this post answers

### What percentage of US workers use AI at work compared to European workers?

About 43% of US workers used AI for their jobs in early 2026, compared to 32% across Europe, according to a St Louis Fed analysis. US workers also spent more than three times as many work hours using AI as workers in Germany, France and Italy.

_Teams benchmarking AI usage against competitors can follow adoption trends like this on daily.dev._

### What percentage of companies that adopt AI actually scale it across the organization?

Only 7% of organizations have fully scaled AI despite 88% using it somewhere, according to McKinsey data cited in a Sifted report. The report also notes that while 75% of firms using AI see productivity gains, only 12% see increased revenue, highlighting a gap between experimentation and measurable business returns.

_Leaders weighing AI investment against actual returns can track findings like these on daily.dev._

### Why is AI adoption slower in Europe than in the United States?

Europe's AI lag is organisational rather than technological, driven by skills gaps, management challenges, trust issues, and the cost of integrating AI into existing workflows. Executives cite unreliable outputs, cyber risk, and running costs as reasons for caution, and fear of job losses also slows uptake among workers.

_Anyone comparing regional AI strategy and adoption barriers can follow this debate on daily.dev._

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Tags: [#ai](https://daily.dev/tags/ai), [#business](https://daily.dev/tags/business)

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