AI in Business · 3 November 2026
Most UK Organisations Use AI But Few Profit From It
For business leaders and professionals
At askKira, we provide secure, personalised enterprise AI for UK businesses. Our platform prevents data leaks, protects IP and client data, and gives your teams AI-powered tools at a fraction of the cost of other enterprise solutions.
This week's roundup brings you the latest AI developments that matter for UK organisations.
Enterprise Productivity & ROI Realisation
Most UK Organisations Use AI But Few Profit From It
University of Manchester research finds 89% of organisations are now using AI, yet only 6% attribute at least 5% of their operating profits to it. The gap between adoption and value realisation is stark, and researchers suggest better implementation could add up to 0.7 percentage points to UK productivity growth annually.
Why it matters: UK organisations are spending on AI without a clear returns framework, and this research gives business leaders a benchmark to honestly assess whether their AI investment is generating measurable value or simply keeping pace with peers.
Read the source on THE-EUROPEAN →Financial Sector AI Adoption
85% of European Banks Now Using Generative AI, ECB Confirms
An ECB supervisor has confirmed that approximately 85% of banks are now using generative AI, with a fuller AI and cybersecurity assessment of institutions currently under way. The findings signal that AI adoption across financial services has moved firmly from experimentation into mainstream operation.
Why it matters: UK financial institutions operating under FCA and PRA oversight should note that European regulatory scrutiny of AI and cyber risk is intensifying, with implications for how UK banks document, audit and govern their own generative AI deployments.
Read the source on buttondown.com →Corporate Governance & Shadow AI
Boards Are Governing AI They Do Not Know They Are Using
A governance advisory highlights that AI is appearing in board packs, recruitment screening and financial forecasting without being labelled as such. Three practical questions are put to boards: do they know where AI is being used across the organisation, who is accountable for AI-generated outputs, and whether existing risk frameworks cover AI failure or misuse.
Why it matters: UK organisations face real liability exposure if AI-generated content reaches customers, regulators or employees without accountability structures in place, and the ICO increasingly expects data governance frameworks to explicitly contemplate AI use.
Read the source on LinkedIn →Workforce Reskilling & Inclusion
Gender Gap in Workplace AI Training Revealed by Harvard Research
A Harvard Kennedy School survey of over 5,400 US adults finds that 64% of employed women report their workplace offers no AI training, compared with 49% of men. Women are also more likely to have never used AI and less likely to use it regularly, with privacy concerns and distrust of outputs cited as the primary barriers.
Why it matters: UK employers investing in AI upskilling programmes must actively examine whether access to training, mentorship and encouragement is equitable across their workforce, or risk embedding existing inequalities into their AI capability pipeline.
Read the source on LinkedIn →UK Tech Investment & Sovereign Funding
UK Pension Funds Back £1bn Scale-Up Fund for British Tech
A consortium of UK pension providers including Nest and Railpen is establishing a £1bn fund to back high-growth British technology companies, with the British Business Bank involved as both backer and lead. The move follows stalled negotiations over UK participation in an EU Scale Up Fund.
Why it matters: For UK AI and tech businesses, this represents a significant domestic funding pathway that could help promising enterprises scale without relying on US or EU capital markets, strengthening the UK's sovereign technology ecosystem.
Read the source on LinkedIn →