Registered: 30
Attended: 18 (7 new, 11 returning)
Date: Mon 30th of March, 2026
Luma: Logos Circle London · Luma
Palendr: Logos Circles London · palendr
Summary: The 7th Logos London circle engaged in a data-backed debate on Growth Engine, Public Spending, and State Performance (from source: stateofbritain.uk).
Points raised across several topics such as: tax at historic highs since WW2, debt ~95% GDP; productivity flat since 2008, with public sector productivity unclear; digital infra strong (expansion of broadband coverage across the country), while physical infra still suffers (roads, railway etc); treasury spending of £71B to cover ongoing Bank of England losses on QE bond sales (why it happened, where we’re at); government increasing R&D spend on AI and data centres (some participants pointed out this is an anxious approach to “not being left behind” with no real understanding of the technology sector (similar to dotcom days). Much funding concentrated around London and South areas of the country, leaving 60%+ of the country exiled from this opportunity.
Some have raised concerns on the limit of R&D credits for businesses, while others have pointed out that the UK starts off well at providing an early stage / pilot stage support for companies and startups, but then for an unknown reason fails completely at addressing the needs of scale-ups, high growth companies, whose founders decide to leave for better jurisdictions.
Next steps include scoping issues to expand on actionable items (high-win potential, medium winnable, long-term / structural) for targeted local campaigns and parallel pilots.
Full breakdown of topics and data analysed, including scoped out campaigns here.
Dept interest and government contracts visibility seemed to be of high interest for immediate localised campaigns, with sovereignty toolkit & hub as an interesting long-term winnable issue.
Some participants expressed a desire for demos of mesh network & devices; others noted that they would prefer a more anarchist approach to the London circle, more deep-dive into parallel formations and network states.