Abstract
This analysis of 620,000 UK apprenticeship vacancies suggests that AI is not the primary cause of declining opportunities, which instead stems from structural labour market weaknesses. The research utilized DistilRoBERTa to map digital skills from unstructured text and Google Gemini 1.5 Flash to dynamically generate an occupation-specific task taxonomy. Econometric results show no significant impact on overall vacancy volumes or technical task density. However, a modest increase in digital skill requirements was found for higher-level roles, suggesting AI complements advanced qualifications rather than displacing them. While intermediate roles have collapsed, findings attribute this to policy shifts like the Apprenticeship Levy rather than automation.
| Original language | English |
|---|---|
| Pages | 99-107 |
| Number of pages | 9 |
| Publication status | Published - 17 Aug 2026 |
| Event | 21st Conference on Computer Science and Intelligence Systems FedCSIS 2026 - Riga Technical University, Riga, Latvia Duration: 23 Aug 2026 → 26 Aug 2026 Conference number: EEE#69809 https://2026.fedcsis.org/ |
Conference
| Conference | 21st Conference on Computer Science and Intelligence Systems FedCSIS 2026 |
|---|---|
| Abbreviated title | FedCSIS 2026 |
| Country/Territory | Latvia |
| City | Riga |
| Period | 23/08/26 → 26/08/26 |
| Internet address |
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