## United Kingdom: Selected Issues

_IMF Staff Country Reports, July 16, 2026_

## Source details

**Canonical URL:** [United Kingdom: Selected Issues](https://www.imf.org/en/publications/cr/issues/2026/07/10/united-kingdom-selected-issues-577614)

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- [Markdown version](/en/publications/cr/issues/2026/07/10/united-kingdom-selected-issues-577614/index.md)
- [Structured JSON version](/en/publications/cr/issues/2026/07/10/united-kingdom-selected-issues-577614/index.json)
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## Bibliographic details
- Published: July 16, 2026
- Series: IMF Staff Country Reports
- DOI: https://doi.org/10.5089/9798229052153.002

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### Overview
- Focus: unlocking AI-led productivity growth in the United Kingdom.
- Context: AI presents a significant opportunity to address the United Kingdom’s persistent productivity slowdown.
- Comparative advantage: strong specialization in high-skill, knowledge-intensive service sectors where AI adoption offers the greatest potential gains.
- Enabling conditions identified as critical: digital infrastructure, innovation financing, regulatory clarity, workforce skills, and trade openness.
- Complementarities: the government’s broader growth strategy emphasizes reforms to planning, energy markets, and scale-up financing; these should be complemented by targeted AI-specific policies addressing regulatory uncertainty, skills shortages, and supply-chain resilience.

### Model-based findings and scenarios
- Calibrated model result: halving regulatory constraints and expanding the supply of AI-related skills could increase AI-driven output gains by approximately two-thirds relative to the baseline.
- Strategic exposure: dependence on foreign AI models exposes the economy to potentially significant output losses from external disruptions.
- Implication from scenarios: investing in a robust domestic AI ecosystem mitigates risks from external disruptions and supports innovation capacity.

### Policy recommendations
- Strengthen enabling conditions:
  - Digital infrastructure.
  - Innovation financing.
  - Regulatory clarity.
  - Workforce skills.
  - Trade openness.
- Complement broader reforms (planning, energy markets, scale-up financing) with AI-specific measures:
  - Reduce regulatory uncertainty that constrains AI adoption.
  - Expand the supply of AI-related skills to the workforce.
  - Enhance supply-chain resilience for AI inputs and model dependencies.
- Strategic investment:
  - Build domestic technological resilience and innovation capacity to reduce exposure to foreign-model disruptions.

### Key statistics and identifiers
- Pages: 93
- Volume: 2026
- Issue: 173
- Series: Country Report No. 2026/173
- DOI: https://doi.org/10.5089/9798229052153.002
- Stock No: 1GBREA2026002
- ISBN: 9798229052153
- ISSN: 1934-7685

*United Kingdom: Selected Issues*

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## Content in this bundle

- **United Kingdom: Selected Issues; IMF Country Report No. 26/173; June 24, 2026**
  - [United Kingdom: Selected Issues; IMF Country Report No. 26/173; June 24, 2026 (Markdown version)](/-/media/files/publications/cr/2026/english/1gbrea2026002.pdf.md){rel="alternate" type="text/markdown"}
  - [United Kingdom: Selected Issues; IMF Country Report No. 26/173; June 24, 2026 (PDF)](/-/media/files/publications/cr/2026/english/1gbrea2026002.pdf){rel="external" type="application/pdf"}

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_Source: https://www.imf.org/en/publications/cr/issues/2026/07/10/united-kingdom-selected-issues-577614_