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Gen AI in software

Report from the Capgemini Research Institute

Discover how the future of software engineering is being shaped by generative AI.

Capgemini Research Institute’s report, Turbocharging software with Gen AI, explores the benefits and opportunities that generative AI brings to software engineering.

Drawing insights from a survey of 1,000 senior executives and 1,000 software professionals across organizations with annual revenues exceeding $1 billion, this report takes a look at the present and future impact of generative AI.

Some organizations are already reaping the rewards. Generative AI enables the development of innovative software features and services, as reported by 61% of surveyed organizations. It improves overall software quality, with 49% of respondents observing this benefit. And it boosts productivity, with 40% of organizations experiencing this positive outcome.

These productivity gains allow organizations to focus on innovative work. Organizations recognize generative AI’s potential to augment human creativity rather than replace it, and only a small fraction of organizations surveyed (4%) intend to reduce headcount.

The adoption of generative AI for software engineering is still in its infancy. Currently, 27% of organizations are actively exploring its potential through pilot projects, while 11% have already begun integrating generative AI into their software functions. However, the adoption rate, including pilot projects, is expected to experience a significant surge, more than tripling in the next two years.

Generative AI is increasingly – and rapidly – being integrated into everyday life. Yet only 27% of organizations have the necessary platforms and tools to harness its power. This lack of preparedness poses a significant risk, as employees may turn to unauthorized generative AI tools and solutions to stay ahead. In fact, our survey reveals that 63% of software professionals who use generative AI rely on unauthorized tools. This unchecked use of generative AI can expose organizations to a multitude of risks, including functional errors, security breaches, and legal issues such as hallucinated code, code leakage, and intellectual property problems, highlighting the need for proper governance and oversight.

Turbocharging software from the Capgemini Research Institute looks at how organizations can harness the full potential of generative AI for software engineering in a way that mitigates security risks, prioritizes high benefit use cases, and puts people at the heart of this transformation.

Meet our experts

Pierre-Yves Gléver

EVP, Head of Global Application Business Line, Cloud & Custom Applications, Capgemini
Pierre-Yves joined Capgemini in 1997 and has held several senior leadership positions throughout his tenure. In his current position, Pierre-Yves is responsible for the Cloud & Custom Applications Global Application Business Line where he will help clients globally access the full power of the Capgemini Group to get the expected ROI from their digital transformations through relevant Applied Innovation and quality of delivery, and customer software development

Stéphane Girard

Global Cloud & Custom CTO, Capgemini  
I am an experienced Chief Architect and Chief Technology Officer with a demonstrated history of working in the information technology and services industry. I help our clients from design to delivery at scale.

Jiani Zhang

EVP and Chief Software Officer, Capgemini Engineering
As the Capgemini Software Engineering leader, Jiani has proven a track record for supporting organisations of all sizes to drive business growth through software. With over 15 years of experience in the IT and Software industry, including strategy and consulting, she has helped business transform to compete in today’s digital landscape.

Serge Baccou

Vice President, Cloud and Generative AI for CIO, Capgemini Invent
I have managed large software engineering teams and worked on extensive cloud computing transformation programs, assisting our clients in harnessing the best of technology innovations, more recently working on how Generative AI can help CIOs.

Anne-Laure Thibaud (Thieullent)

Executive Vice President, Data & AI Group Offer Leader
Choosing the right technology for the right usage is key, but how your company should change the way it acts around data is vital. My passion is to bring technology, business transformation and governance together and take our clients to where they want to be as Intelligent Enterprises, while cultivating the values of trust, privacy and fairness.

Jean-Marie Lapeyre

Chief Technology & Innovation Officer, Global Automotive Industry, Capgemini
Jean-Marie Lapeyre works with automotive clients to develop and launch actionable technology strategies to help them succeed in a data- and software-driven world.

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