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Navigating AI compliance: A balancing act for UK IT decision makers

Many UK IT leaders face challenges in ensuring AI compliance, with regulations like GDPR and the EU AI Act posing significant hurdles.

  • Monday, 17th November 2025 Posted 6 months ago in by Aaron Sandhu

Over half (51%) of UK IT Decision Makers (ITDMs) express uncertainty about the compliance of their AI-generated data with regulations such as GDPR. This revelation comes from a survey by Splunk, highlighting concern amidst the widespread adoption of AI in UK businesses.

Despite 88% of UK ITDMs engaging in AI projects, the potential repercussions of non-compliance, including hefty fines, linger as a threat. The survey, involving 500 ITDMs from sizable UK companies, also sheds light on future compliance concerns. A vast majority, 64%, anticipate increasing challenges over the next three years, compounded by 36% who have faced significant issues due to compliance failures.

Key Findings:

  • The EU AI Act presents a major compliance challenge for 30% of respondents, despite its pending implementation, with significant implications for UK companies operating internationally.
  • Over half (56%) report AI contributes to an ‘unmanageable explosion’ in data volumes, with 60% struggling to process and store this data.
  • AI is cited by 33% as a main factor in ‘runaway data growth’, while 89% acknowledge a 50% increase in data volumes within three years.
  • A lack of effective data management strategy affects 33% of businesses despite the surge in data volume.

Petra Jenner of Splunk highlights AI’s enormous potential but underscores the complexities it brings, particularly in compliance and data governance. While 47% of ITDMs express confidence in their compliance efforts, a significant number remain skeptical, hinting at risks for businesses.

“The true differentiator for companies won’t just be rapid AI adoption, but embedding trust, discipline, and compliance into their data strategies, ensuring safe and scalable integration.” Jenner comments.

Ultimately, effective data management emerges as pivotal in bolstering AI's role in business, anchoring the upcoming generation of digital transformation while adhering to regulatory benchmarks.

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