Legacy systems stifle UK AI ambitions as budgets drain on upkeep
Technical debt from ageing systems is hindering artificial intelligence adoption in UK organisations, according to findings from a new survey of IT and risk leaders. Almost 90% of surveyed organisations are reliant on legacy Windows platforms, with 61% saying these systems actively block their plans to adopt AI technologies.
Legacy systems
The research points to outdated infrastructure as a significant barrier for UK enterprises seeking to advance their AI strategies. Nearly half of respondents have experienced audit compliance issues due to obsolete IT systems, while 84% find integrating AI with existing legacy stacks a substantial challenge.
Ongoing maintenance of these outdated platforms continues to absorb resources. Some 94% of IT leaders expressed a desire to devote more time and budget to innovation rather than keeping legacy systems operational. The burden of legacy IT means that maintenance is prioritised, often at the expense of new investments or transformation projects.
Cloud challenges
The report highlights that 45% of respondents say their cloud transformation efforts are being held back by existing technical debt. In the manufacturing sector, the figure is higher, with 53% describing themselves as particularly cloud-constrained. Transitioning to cloud-based systems is seen as a foundational step for many organisations to exploit AI at scale, yet progress is restricted by the continued presence of legacy systems.
Funding pressures
Despite widespread agreement on the importance of modernisation, only 36% of surveyed organisations have fully funded plans for updating their IT estates. This situation persists even though 88% have two-year technology roadmaps in place. The tension between ambition and the resources required to deliver it remains unresolved for most enterprises.
The findings present a paradox: while AI and machine learning emerge as the top intended investment area for the coming year, organisations are simultaneously allocating substantial portions of their IT budgets towards maintaining older technology. In the finance sector, nearly half of the budget is diverted into legacy systems, despite AI being a declared priority for 28% of finance leaders.
Sector differences
The research points to differences in priorities and pressures across industries. The government sector is facing skills shortages in modern IT, with three-quarters of respondents indicating a lack of expertise needed to drive change. The public sector is also the most likely to see AI projects blocked altogether, reporting a 69% rate of such obstacles. Meanwhile, manufacturing leaders discuss greater constraints in moving to cloud-based models, and finance continues to spend more than any other sector on legacy maintenance.
Executive perspectives
"UK organisations talk publicly about AI ambition, but privately they're wrestling with systems too old to support it. Technical debt has become the silent hurdle to innovation, draining budgets, exhausting teams and delaying modernisation plans that have already been approved. The UK's most skilled technologists are spending their days patching, firefighting and sustaining obsolete platforms - rather than enabling the innovation their organisations are prioritising. If the UK wants to lead in AI by 2026, it must first confront the legacy problem beneath the surface," said Mat Clothier, CEO, Cloudhouse.
