The Game-Changing Impact of Generative AI on Businesses: Insights from Capgemini’s Pascal Brier
Generative AI is rapidly transforming the business landscape, with organizations racing to integrate it into their operations. Yet, despite its revolutionary potential, many enterprises are still in the early stages of adopting this technology. Pascal Brier, Chief Innovation Officer at Capgemini, offers critical insights into the current state of generative AI adoption and the challenges ahead.
Where Are Businesses on the Generative AI Journey?
According to Brier, generative AI has become a top priority in boardrooms worldwide. Capgemini’s research shows that the adoption of generative AI in large companies has surged from just 6% last year to 24% this year. However, the return on investment (ROI) remains modest, between 4% and 7%. Brier believes this low ROI is just a reflection of AI’s early stage, with its full potential yet to unfold.
Overcoming Challenges in AI Implementation
Implementing generative AI is no simple task. Brier highlights several key challenges, starting with platform enablement. Enterprises must build an AI ecosystem that is not only scalable but also integrates well with existing infrastructure.
Governance is another crucial area. As AI becomes more embedded in business processes, companies need clear guidelines to manage models, ensure security, and align AI with ethical standards.
Additionally, identifying the right use cases is essential. Whether using AI to enhance existing processes, create innovative products, or drive new services, businesses must carefully evaluate where AI will provide the most value.
Training and skills development are also vital. Employees need to learn not just the technical skills required for AI, but also how to interact with AI systems effectively, considering security and ethical concerns.
Lastly, companies must focus on responsible use and cost management. As AI scales, its financial and environmental costs will rise, and organizations must plan accordingly.
The Future of Generative AI in Enterprises
Looking ahead, Brier sees exciting trends that will shape the future of AI in businesses. Companies will likely adopt a more diversified approach to AI models, combining large generic models with smaller, specialized ones.
Brier also predicts the rise of hybrid AI ecosystems, where different AI systems work together to tackle complex business challenges. He sees the emergence of AI agents—autonomous software programs designed to handle specific tasks—as a game-changer for business operations.