This operator report is written for CIOs, CTOs, CDOs, Chief AI Officers and senior technology and data function leaders inside UK mid-market organisations.
Tech and IT leads the survey on measurable AI ROI (58%) and on shadow AI (54%). The function responsible for AI infrastructure is also the most exposed: every other function is working around IT when approvals are too slow.
This report shows where your function sits against 222 peers and what the top quartile do differently.
This is a operator benchmark and playbook for in-house function leaders. CIOs, CTOs, CDOs, Chief AI Officers, Heads of Data, Heads of Engineering, and senior technology and data function leaders inside UK mid-market organisations. A sell-side companion report “AI Infrastructure for AI Vendors: UK Mid-Market 2026″ maps the same data for infrastructure AI vendors and is available at aiblmedia.com/downloads/ai-infrastructure-uk-2026-vendor/.
CIOs, CTOs, CDOs (Chief Data Officers), IT Directors, Heads of Data, Heads of Engineering, VPs of Technology, Heads of MLOps. n=222 in the Infrastructure segment of the wider n=755 UK mid-market base.
Online survey of 755 senior decision-makers at UK mid-market organisations (£20m–£500m revenue), fieldwork January–March 2026. The Technology / IT / Data segment (n=222) is the source for all segment-specific findings. Cross-function comparisons use the full UK valid base. Published by aibl Media in partnership with Executive Summary. Part of the State of UK AI Adoption 2026 series.
Tech and IT leads the survey at 58% measurable ROI. Among those with mature governance, the rate reaches 91%. The function is both the most capable AI deployer and the most exposed to shadow AI at 54%.
Tech and IT leaders are simultaneously the most capable AI practitioners and the gatekeeper that every other function is bypassing when approvals are too slow. The shadow AI problem is not internal, it is the consequence of being responsible for governance across the whole business.
Infrastructure L3 functions have documented policies and approved tool catalogues that do not provide consistent enforcement on free-tier tools and BYO credentials. The L3-to-L4 step nearly doubles ROI (35% to 67%) and cuts shadow AI from 65% to 46%.
They make the approved path faster than the shadow path: self-service AI catalogues, tiered approval processes (low-risk in 48 hours), and pre-certified integrations give business units an approved option before resorting to a shadow one.
85% have experienced at least one AI failure. The dominant modes are integration failure (39%), data quality issues (34%), and inability to scale from pilot to production (28%).
Download this report for the full Infrastructure AI benchmark: ROI by governance level, shadow AI by approval speed, ownership model comparison, and the 90-day playbook including the L3-to-L4 enforcement infrastructure actions.
Yes. Use: “aibl Media, State of UK AI Adoption Survey 2026, Infrastructure segment n=222, full base n=755, Jan–Mar 2026.”
aibl Media is an independent insights and events platform that helps UK mid-market leaders implement AI in a practical and effective way. We publish independent research, run the AI Enablement Directory and convene the UK’s leading mid-market AI events, including aiblLIVE (October 2026, London).
