On 2 February 2024 the House of Lords Communications and Digital Committee published Large language models and generative AI (HL Paper 54), the report of its inquiry into large language models. Parliament’s press notice framed the findings as a call for a more positive national vision that still guards competition and near-term risk.

The report treats LLMs as capable of epoch-defining change and warns that market power and regulatory capture by vested interests need urgent attention. Among ten core recommendations it urges the Government to make open competition an explicit AI policy objective, strengthen governance against capture in DSIT and related institutions, rebalance from a narrow safety focus toward opportunity, and address copyright, compute, skills and start-up support.

It draws on Neil Lawrence’s September 2023 oral evidence. Quoting his “moment of steerage,” the Committee notes that national choices now will shape which firms flourish and how much power they hold over commerce and information — and that getting that steerage right is hard when capability races ahead of policy. The report also records his warning of regulatory capture and his case for open ecosystems that keep incumbents contestable, alongside concerns that existential-risk narratives must not crowd out nearer priorities.

The inquiry and report sit with the group’s AI Council work on foundation-model policy through 2022–23.