A recent survey of British information technology professionals reveals that the complexity involved in managing artificial intelligence (AI) systems is contributing to increased workloads rather than easing them. According to data from software company Freshworks, 88% of IT decision-makers in the UK reported that handling AI-related challenges has elevated the demands placed on their teams.

The findings indicate that IT departments are dedicating approximately 25% of their AI-focused work hours to troubleshooting and addressing operational issues. This additional burden has been described by Freshworks as a “complexity tax,” highlighting the unintended consequences of implementing AI technologies in business environments.

Moreover, one-third of respondents characterized the complexity associated with AI as a “very significant issue,” underscoring widespread concerns about the difficulties posed by integrating and maintaining these advanced systems. The survey reflects a growing recognition that while AI tools promise efficiency gains, they simultaneously introduce new layers of technical challenges that require substantial attention.

Industry experts suggest that these challenges may stem from the intricate nature of AI algorithms, the need for ongoing monitoring, and the necessity to address unpredictable system behaviors. As organizations increasingly adopt AI solutions, the strain on IT resources to manage and optimize these technologies is becoming more pronounced.

The survey findings underscore the importance of developing better frameworks and support mechanisms to mitigate the operational overhead related to AI complexity. Addressing these issues could help organizations fully realize the productivity benefits that AI technologies are intended to deliver.