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Data and AI

Generative AI in organizations 2024

Report from the Capgemini Research Institute

Organizations are accelerating their use of generative AI, and there has been an increase in investment in the technology over the last 12 months.

Eighty percent of organizations have increased their investment in generative AI since 2023, and 20% have maintained their investment level, according to Harnessing the value of generative AI: 2nd edition – the latest report from Capgemini Research Institute. The report also found that 24% of organizations have integrated generative AI into some or most of their locations or functions. This represents an increase  compared to only 6% reported just 12 months ago.

Harnessing the value of generative AI: 2nd edition draws on insights from a global survey of 1,100 executives at organizations with more than $1 billion in revenue across 14 countries and 11 industries and sectors.

The report reveals that generative AI is increasingly integrated into organizations, causing changes in operational paradigms. Over the past year, adoption of generative AI has grown across all sectors, and most organizations embrace generative AI among their employees, with only 3% enforcing a complete ban on publicly available generative AI tools in the workplace.

Those organizations that have already adopted generative AI are experiencing benefits, including improved operational efficiency, enhanced customer experience, and increased sales.  

On average, organizations have seen a 6.7% improvement in customer engagement and satisfaction in the areas in which generative AI has been piloted or deployed. As a result, businesses are adjusting their strategic approaches and exploring innovative ways to harness generative AI’s capabilities.

The report also looks at AI agents and the potential they have to transform automation and productivity across sectors. AI agents, once supportive tools, now operate autonomously and can perform tasks independently. The majority of organizations (82%) plan to integrate them within 1-3 years, trusting them for tasks like email generation, coding, and data analysis. Organizations planning to implement AI agents should establish safeguards to ensure transparency and accountability for AI-driven decisions.

​Download Harnessing the value of generative AI: 2nd edition to learn more about how organizations are adopting generative to innovate and grow. 

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Meet our experts

Pascal Brier

Group Chief Innovation Officer, Capgemini
Pascal Brier was appointed Group Chief Innovation Officer and member of the Group Executive Committee on January 1st, 2021. Pascal oversees Technology, Innovation and Ventures for the Group in this position. Pascal holds a Masters degree from EDHEC and was voted “EDHEC of the Year” in 2017.

Dr Mark Roberts

CTO Applied Sciences, Deputy Director of Capgemini AI Lab, Capgemini Engineering
Mark Roberts is a visionary thought leader in emerging technologies and has worked with some of the world’s most forward-thinking R&D companies to help them embrace the opportunities of new technologies. With a PhD in AI followed by nearly two decades on the frontline of technical innovation, Mark has a unique perspective unlocking business value from AI in real-world usage. He also has strong expertise in the transformative power of AI in engineering, science and R&D.

Mark Oost

Global Offer Leader, AI Analytics & Data Science
Prior to joining Capgemini, Mark was the CTO of AI and Analytics at Sogeti Global, where he developed the AI portfolio and strategy. Before that, he worked as a Practice Lead for Data Science and AI at Sogeti Netherlands, where he started the Data Science team, and as a Lead Data Scientist at Teradata and Experian. Throughout his career, Mark has had the opportunity to work with clients from various markets around the world and has used AI, deep learning, and machine learning technologies to solve complex problems.

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.

Steve Jones

Expert in Big Data and Analytics
Steve is the founder of Capgemini’s businesses in Cloud, SaaS, and Big Data, a published author in journals such as the Financial Times and IEEE Software. He is also the original creator of the first unified architecture for Big Fast Managed data, the Business Data Lake. He works with clients on delivering large-scale data solutions and the secure adoption of AI, he is the Capgemini lead for Collaborate Data Ecosystems and Trusted AI.

Lisa Mitnick

Executive Vice President, Capgemini Invent
Lisa Mitnick is Executive Vice President at Capgemini Invent and serves as Global Offer Leader for Intelligent Products & Services, helping companies identify and drive new revenue streams through business model innovation and adopting connected products and services.

Alex Marandon

Vice President & Global Head of generative AI Accelerator, Capgemini Invent
Alex brings over 20 years of experience in the tech and data space, beginning his career as a CTO in startups and later leading data science and engineering in the travel sector. Eight years ago, he joined Capgemini Invent, where he has been at the forefront of driving digital innovation and transformation for his clients. He has a strong track record in designing large-scale data ecosystems, especially within the industrial sector. Currently, as the Global Lead of Capgemini Invent’s generative AI Acceleration Lab, Alex crafts Gen AI go-to-market strategies, develops assets, upskills teams, and assists clients in scaling AI and Gen AI solutions from proof of concept to value generation.