In response, surveyed organizations highlighted that they plan to use the additional time freed up by Gen AI for ongoing innovation, such as developing new software capabilities (50%) and upskilling (47%).
Similarly, companies are optimistic that Gen AI will improve collaboration between technology and business teams, with 78% of those surveyed looking to the technology to improve communication and provide natural language explanations of code.
Gen AI is a “powerful advocate” for employees
The survey also found that Gen AI tools are currently being used by 46% of software engineers to assist with tasks. Similarly, nearly three-quarters agreed that Gen AI's potential extends beyond writing code, but also as a tool to assist with other software development lifecycle activities, such as code modernization and user experience (UX) design.
Both senior and junior software professionals reported high satisfaction with their use of Gen AI to Capgemini (69% and 55%, respectively). They see Gen AI, with its ability to generate human-like text, images and other content, as a powerful driving and motivating force.
“Gen AI has emerged as a powerful technology to assist software engineers and is rapidly gaining adoption. Its impact on coding efficiency and quality is measurable and proven, but it also holds promise for other software activities,” said Pierre-Yves Glever, head of Global Cloud & Custom Applications at Capgemini.
However, the report found that 63% of software professionals say they are using unauthorized Gen AI tools to assist with tasks. This rapid adoption without proper governance and oversight exposes organizations to functional, security, and legal risks, including hallucinated code, code leaks, and IP issues.
Successfully adopting Gen AI will not come without challenges, and a recent report from Hitachi Vantara also shows that without clear governance, Gen AI can pose significant risks within a business context, particularly in areas such as data privacy, security, and ethical use of AI.
More and more businesses are eager to harness Gen AI to gain a competitive advantage, but currently underestimate its power and responsibility. Few organizations currently believe they have the right level of funding, culture, and skills to support the rapid advancement of the technology.
“It's important to remember that real value comes from a holistic software engineering approach that goes beyond introducing a single 'new' tool,” warns Pierre-Yves. “This includes addressing business needs with a robust and well-designed design, establishing comprehensive developer workspaces and assistants, implementing quality and security gates, and assembling effective software teams. You should focus on what truly creates value.”
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