Google urges UK to relax AI copyright rules

Google has asked the UK government to amend copyright rules so AI firms can scrape copyrighted web content for training large language models, warning that the current regime “puts a ceiling on the sophistication of our AI economy” and could push investment overseas【1】. The move comes after a March decision to scrap a proposal that would have let tech giants use copyrighted material for commercial AI development, a step that drew fierce opposition from artists and writers.

Why Google is pressing for change

Google’s UK public‑policy head, Katie O’Donovan, argued that restrictive copyright rules force AI developers to relocate training workloads to jurisdictions with more permissive laws, limiting the growth of UK‑based AI firms【1】. She linked the issue to sectors such as fintech and bioscience, where start‑ups need large, diverse data sets to build competitive models. The company also highlighted that even if Britain offered copyright protection, much of the relevant material is already accessible in the United States, reducing any advantage the UK might claim【1】.

Government response and industry backlash

In March, the UK government dropped a plan that would have let tech firms continue using copyrighted works for AI training, after a coordinated campaign by musicians, writers and visual artists—including Sir Paul McCartney and Sir Elton John—argued the proposal infringed creators’ rights【1】. The original scheme offered an “opt‑out” for artists and a limited research‑exception licence for commercial use, which Google described as “prohibitive” and ambiguous for companies seeking to commercialise AI tools【1】. A government spokesperson later cited Technology Secretary Liz Kendall’s statement that the UK would act “in line with our own interests and values” and that copyright law must protect the nation’s creative sector while unlocking AI potential【1】.

Potential market impact

If the UK relaxes its AI copyright framework, Google and other large tech firms could accelerate model training locally, potentially attracting AI start‑ups that currently look to the US or other friendly jurisdictions. Conversely, a more permissive regime could deepen the divide between big‑tech interests and the cultural industries, which fear that broader data harvesting will erode revenue from copyrighted works. The policy debate therefore sits at the intersection of innovation policy and intellectual‑property protection, with the outcome likely to shape where AI talent and investment flow in Europe.

What to watch

• The UK’s next policy briefing on AI data usage, expected in the coming weeks.
• Reactions from the UK creative sector, especially any coordinated lobbying or legal challenges.
• Statements from rival tech firms on whether they will support or oppose the proposed changes.

The dispute underscores a broader tension: loosening copyright rules could boost the UK’s AI capabilities, but it also risks alienating the very creators whose content fuels those models. How the government balances these competing priorities will determine the future trajectory of Britain’s AI ecosystem.