The Generative AI Paradox: European CIOs on Adoption and the Hold-Up

Published by Alicja Pucyk
June 04, 2024 @ 10:49 AM

Generative AI (GenAI) is the hottest topic in software development, promising to automate tasks and revolutionise how we code. But is the hype matching reality?


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survey CIONET Belgium

The CIONET Belgium Survey Reveals Surprising Insights

Generative AI (GenAI) has captured the imagination of the tech world, promising to revolutionise software development. Yet, a recent survey conducted by CIONET Belgium amongst European CIOs paints a surprising picture: while GenAI is a hot topic, its actual use in code generation remains surprisingly low.


The survey, which polled 56 CIOs, revealed a clear hesitancy towards widespread adoption. Here's a breakdown of the key takeaways:

  • Only 7.1% of companies reported extensive use of GenAI for code generation, with plans to further increase its utilisation.
  • A moderate 30.4% are currently using GenAI moderately, but plan on expanding its use in the future.
  • Nearly 40% (39.3%) are minimally using GenAI, but are open to increasing its role in development.
  • 12.5% expressed plans to adopt GenAI in the future, while a surprising 10.7% have no plans to use it at all.


The Intriguing Disconnect: Why the Hesitation?

These findings reveal a fascinating disconnect. Over 43% of the surveyed companies are at least dabbling with GenAI, acknowledging its potential. However, the vast majority haven't fully embraced the technology.

This begs the question: what's holding IT professionals back from fully leveraging a technology they themselves promote? The potential for AI-driven innovation in software development is undeniable, yet a significant hesitation persists.


Possible Reasons for the Hesitation Gap

Several factors could be contributing to this hesitation gap:

  • Concerns around code quality and security: CIOs might be apprehensive about the potential impact of AI-generated code on overall code quality and security vulnerabilities.
  • Unclear ROI: The return on investment for GenAI adoption might not be readily apparent, making it difficult to secure budget allocation.
  • Lack of knowledge or expertise: Implementing GenAI effectively requires a specific skillset. Companies might not have the necessary in-house expertise to navigate this new technology.


Moving Forward: Embracing the Potential of GenAI

While the survey highlights a current hesitancy, it also reveals a strong interest in exploring GenAI's potential. Here are some steps CIOs can take to bridge the gap:

  • Invest in knowledge building: Upskilling development teams on GenAI principles and best practices can pave the way for confident adoption.
  • Start small and scale strategically: Pilot projects with well-defined goals can demonstrate the value proposition of GenAI and build confidence for wider implementation.
  • Focus on collaboration, not replacement: GenAI should be seen as a tool to augment developers' capabilities, not replace them entirely.


What are your thoughts on the survey findings?

We at CIONET believe that GenAI has the potential to fundamentally transform software development. Share your thoughts and experiences with GenAI in the comments below!

Let's foster a conversation about overcoming the hesitation gap and unlocking the true potential of this revolutionary technology.


CIONET CIONETBelgium CIOCommunity DigitalLeaders AI GenerativeAI SoftwareDevelopment PromptEngineering TechInnovation


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