Making the AI Shift a Success
The adoption of generative artificial intelligence (AI) has become a strategic priority for many businesses around the world. As the initial enthusiasm surrounding these new technologies begins to evolve into a structured search for value creation, large enterprises appear to have gained a significant lead over smaller organizations.
Organizations that successfully leverage generative AI are not limited to one-off technology experiments. They are engaged in a true transformation of their operating models, involving a fundamental redesign of workflows and a thorough restructuring of their processes. Indeed, the companies that achieve the best financial results are those that have implemented centralized AI governance, generally under the direct responsibility of their senior management or board of directors.
Success also depends on companies' ability to effectively manage the risks associated with generative AI. Key challenges include the inaccuracy of data produced by these models, cybersecurity risks, and intellectual property. Large companies are particularly active in proactively managing these risks, developing centralized approaches, particularly through centers of excellence.
The organizational structure adopted for AI deployment varies considerably depending on the size and resources of the company. While large organizations tend to centralize key elements such as strategy, data governance, and compliance processes, they often adopt hybrid models for managing technology talent and implementing generative AI solutions.
However, the actual impact of generative AI on financial results remains moderate at the global level, with a majority of companies indicating that the positive effects remain limited to certain specific units for the time being. This reflects the still relatively experimental nature of these technologies, but also the complexity associated with their large-scale deployment.
In this context, best practices for adopting and scaling AI are beginning to become clearer. Companies that succeed in creating substantial value follow specific practices such as establishing clearly defined roadmaps, establishing dedicated teams to manage AI projects, and specifically training employees in the new skills required by these technologies.
Furthermore, the deployment of AI has significant implications for human resources. While some fear a significant reduction in jobs, current trends indicate a redistribution of roles and skills. AI-powered automation allows employees to focus on new, higher-value tasks, although some specific functions, particularly in customer service operations and supply chain management, could see workforce reductions.
Ultimately, the key to success lies in an ambitious, transformative vision that engages the entire organization, with active governance at the highest level. Companies that are able to integrate these technologies into a comprehensive and coherent strategy will be able to fully seize the opportunities offered by generative AI in the years to come.
To learn more: discover why AI is a new form of work, our feedback on the implementation and scaling of AI and why AI is a key lever for organizations.