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Data and AI

Gen AI at work: Shaping the future of organisations

Report from the Capgemini Research Institute

Gen AI at work: Shaping the future of organisations, a new Capgemini Research Institute report, highlights how generative AI (Gen AI) is expected to transform work by reshaping roles and responsibilities. Our research shows that human-AI collaboration will create more value, streamlining organisational structures and operating models.

The report is based on the analysis of a survey of 1,500 leaders and managers and 1,000 employees (entry-level individual contributors) at organisations with annual revenue above $1 billion in 15 countries and across various industries.

Employees in the survey predicted that Gen AI will facilitate a third of entry-level tasks over the next 12 months, making these roles more autonomous and progressively shifting them from creation to review. Half of the leaders and managers surveyed noted that this change will accelerate career progress for entry-level workers.

Leaders and managers expect Gen AI to save them up to seven hours weekly, allowing them to focus on strategic decision-making and tasks requiring emotional intelligence. Managers will play a crucial role in easing workforce fears about new technologies and will be key in integrating Gen AI into workflows. Over half of the leaders (54%) believe managerial roles will become more significant as they guide Gen AI-driven changes, ensuring accountability and adapting practices to a human-centered approach.

Leadership aims to design the future organisation, redefine roles, and reimagine work methods; 70% of leaders and managers we surveyed expect to focus on creating frameworks for the responsible and ethical use of Gen AI systems.

Generative AI also has the potential to reshape organisational structures. Only 18% of leaders and managers we surveyed believe it will reduce middle management, but 51% think that within three years, managerial roles could shift from generalists to specialists. This shift will require organisations to adopt flatter, more agile, and collaborative structures to maintain strategic flexibility.

Generative AI has the potential to assist leaders and managers in complex managerial tasks, acting as a “thought partner”. A majority (65%) believe Gen AI can serve as a co-thinker in strategic planning, risk evaluation, and decision-making.

Despite these benefits, challenges remain.

Only 15% of leaders and managers and 20% of employees use Gen AI tools daily. The obstacles hindering the widespread adoption of Gen AI include concerns about accuracy, security, lack of clear usage guidelines, integration complexity, and skill deficits.

To build a Gen AI-augmented workforce, organisations should reevaluate roles and career pathways, redesign structures for human-AI collaboration, provide technology within governed frameworks, integrate it within business applications, and cultivate necessary technical and soft skills. Creating a culture of continuous learning and experimentation is essential. Gen AI thrives best within a broader hybrid AI ecosystem, combining traditional AI, automation, and other technologies to deliver tailored intelligence and efficiency for specific business challenges. This hybrid AI approach can unlock unparalleled intelligence and efficiency tailored to specific business challenges.

Download Gen AI at work: Shaping the future of organisations to learn more about how generative AI can be used to transform roles and responsibilities.

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Meet our experts

Alex Marandon

Vice President & Global Head of Invent Generative AI Accelerator at Capgemini Invent
With over 20 years of experience in data science, business analytics, and strategic thinking, I am the Vice-President and Head of Data for Intelligent Industry France at Capgemini Invent, a global leader in digital innovation and transformation. I help companies generate value through end-to-end data project delivery, from defining their strategy to designing and implementing their innovative solutions.

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.

Claudia Crummenerl

Expert in commercial, Market access, real world evidence

Elisa Farri

Vice President | Co-lead of The Management Lab by Capgemini Invent
Elisa Farri is an author, advisor and former researcher at the Harvard Business School Europe Research Center. She nurtures relationships with management thinkers at the world’s top business schools. She is a member of the Thinkers50 Radar Class of 2023 and co-lead of Capgemini Invent’s Management Lab, a global think-tank that aims to democratize management and bridge the latest management ideas into practice.

Gabriele Rosani

Director of Content & Research at The Management Lab by Capgemini Invent
Gabriele Rosani works at the intersection of strategy, innovation, and sustainability. For over a decade he has been researching, designing, and testing new management frameworks and tools, collecting lessons learned and best practice cases. He is a regular contributor to leading management magazines: He also contributed to several management books curated by Thinkers50 and the Business Ecosystem Alliance